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Illuminator documentation master file, created by + sphinx-quickstart on Wed Jul 31 14:38:44 2024. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +Illuminator documentation +========================= + +The Illuminator is an easy-to-use Energy System Integration +Development kit to demystify energy system operation, illustrate challenges +that arise due to the energy transition and test +state-of-the-art energy management concepts. we utilise Raspberry Pis +as the individual components of the energy system emulator, +and the simulation engine is based on `Mosaik. `_ + +.. toctree:: + :maxdepth: 2 + :caption: Contents: + + quick-start + +.. toctree:: + :maxdepth: 2 + :caption: User's Documentation: + + user/start + user/user-guide + user/models + +.. toctree:: + :maxdepth: 2 + :caption: Developer's Documentation: + + developer/start + + + diff --git a/_sources/quick-start.md.txt b/_sources/quick-start.md.txt new file mode 100644 index 0000000..06311fb --- /dev/null +++ b/_sources/quick-start.md.txt @@ -0,0 +1,3 @@ +# Quick Start + +> Comming soon... \ No newline at end of file diff --git a/_sources/user/models.md.txt b/_sources/user/models.md.txt new file mode 100644 index 0000000..bd4f96a --- /dev/null +++ b/_sources/user/models.md.txt @@ -0,0 +1,333 @@ +# Models +> This resembles the API documentation. Would be better to add the explanations as docstring and +> generate the documentation using **autodoc** +> However, we should separtate explanatios from API references. + +## Battery storage +The battery storage parameters are all set in the python file named 'buildmodelset.py' in the configuration folder. + +```python +'max_p': the rated charging power +'min_p': the rated discharging negative power. +'max_energy': the battery capacity +'soc_min': the minimum soc limitation +'soc_max': the maximum soc limitation +'flage': the status of the battery. # flag=1 means fully charged; flag=-1 means fully discharged; flag=0 means ready for charge and discharge +'resolution': the time-step of simulation in minutes +``` +### Model build-up methodology +"output_power(self, flow2b, soc) " is a controller method to decide whether to charge or discharge the battery. +(flow2b: The requested power flow. soc: The current state of charge. +Returns: A dictionary with updated battery parameters.) +The method for charge and discharge calculation: + +``` +Energy_discharge = Power_flow * Resoluation \ Efficiency_discharge +Energy_charge = Power_flow * Resoluation * Efficiency_charge +``` +Update the Soc of the battery at each time resolution. + + +------------------------------------------------- +## Electric Boiler +The Electric Boiler parameters are all set in the python file named `buildmodelset.py` in the configuration folder. + +``` +'capacity': the maximum capacity of the boiler in kilowatts (kW). +'min_load': the minimum operational load of the boiler in kilowatts (kW). +'max_load': the maximum operational load of the boiler in kilowatts (kW). +'standby_loss': the heat loss while the boiler is in standby mode as a fraction of the capacity. +'efficiency': the operational efficiency of the boiler under maximum load. +'resolution': the time-step of simulation in minutes. + +``` + +### Model Build-Up Methodology +The demand method is used to calculate the heat supply and electricity consumption based on the boiler's demand. + +Parameters: +eboiler_dem: The heat demand in watts (W). +Returns: A dictionary containing the heat supplied (q_gen), electricity consumed (e_consumed), and standby loss. + +The operational logic for the electric boiler is as follows: + +``` +Power_require = (Q_Demand + Standby_loss) / Efficiency +Q_supply = (Electricity_input - Standby_loss) * Efficiency * 1000 # in Watts +``` +The heat supplied (Q_supply) and electricity consumed are calculated based on the demand, considering the boiler's capacity, load limits, and efficiency. The calculations are adjusted to ensure the operation stays within the defined minimum and maximum load limits. + +----------------------------------------------------- + +## Electrolyser + +The electrolyser model parameters are all set in the python file named 'buildmodelset.py' in the configuration folder. +``` +'eff': the efficiency of the electrolyser. +'resolution': the time-step of the simulation in minutes. +'term_eff': the thermal efficiency of the electrolyser. +'rated_power': the rated power input of the electrolyser. +'ramp_rate': the maximum rate at which the power input can change. +``` + +### Model Build-Up Methodology +The electrolyser method is used to calculate hydrogen production and energy consumption based on the input power flow. + +Parameters: +flow2e: The power flow to the electrolyser in kW. +temperature: Optional. The temperature of the operation in degrees Celsius (default is 15°C). +pressure: Optional. The pressure of the operation in kPa (default is 100 kPa). +Returns: A dictionary containing the hydrogen generated (h2_gen), power flow (flow2e), thermal energy (q_product), and energy consumed (e_consume). + +The operational logic for the electrolyser is as follows: + +``` +Desired_power = min(Rated_power, Flow2e) +E_consume = ramp_rate_limit(Desired_power) +Q_product = E_consume * Term_eff +HHV = 286.6 kJ/mol +Mole = (E_consume * Resolution * 60 kJ) / HHV * Eff +H_mass = (2.02 grams/mole * Mole) / 1000 kg +H_out = H_mass * 11.2 m^3/min at NTP / Resolution +``` +The electrolyser model calculates the amount of hydrogen produced and the energy consumed. It accounts for the ramp rate limits and the electrolyser's efficiency to provide realistic performance metrics. + + +---------------------------------------------- + +## Fuel Cell + +The Fuel Cell model parameters are all set in the python file named 'buildmodelset.py' in the configuration folder. +``` +'eff': the base efficiency of the fuel cell. +'term_eff': the thermal efficiency of the fuel cell. +'max_flow': the maximum hydrogen flow rate. +'min_flow': the minimum hydrogen flow rate. +'resolution': the time-step of the simulation in minutes. +``` +### Model Build-Up Methodology + +The output method is used to calculate the power output and thermal energy based on hydrogen consumption. + +Parameters: + +h2_consume: The hydrogen consumption rate in m³/min. +temperature: Optional. The temperature of the operation in degrees Celsius (default is 25°C). +pressure: Optional. The pressure of the operation in kPa (default is 100 kPa). +Returns: A dictionary containing the fuel cell power output (fc_gen), hydrogen fuel rate (h2fuel), hydrogen consumed (h2_consume), and thermal energy (q_product). + +The operational logic for the fuel cell is as follows: + +``` +H2fuel = max(Min_flow, min(Max_flow, H2_consume)) +Efficiency = efficiency(H2_consume, Temperature, Pressure) +Energy_density = 120,000 kJ/m³ # Energy from 1 m³ hydrogen +Out = (H2_consume * Energy_density * Efficiency) / 60 kW # Power output +Q_out = Out * Term_eff # Thermal energy output +``` + +The fuel cell model computes the power output and thermal energy based on the hydrogen consumed. It takes into account the efficiency of the fuel cell, which can vary based on the load, temperature, and pressure. The model also ensures that the hydrogen consumption is within the specified minimum and maximum flow rates. + +------------------------------------------------- +## Hydrogen Storage +The hydrogen storage model parameters are all set in the python file named 'buildmodelset.py' in the configuration folder. +``` +'initial_soc': the initial state of charge of the hydrogen storage. +'h2storage_soc_min': the minimum state of charge limitation. +'h2storage_soc_max': the maximum state of charge limitation. +'eff': the efficiency of hydrogen storage. +'max_h2': the maximum hydrogen flow rate. +'min_h2': the minimum hydrogen flow rate. +'capacity': the total capacity of the hydrogen storage. +'resolution': the time-step of simulation in minutes. +``` +### Model Build-Up Methodology + +The `output_h2` method determines whether to charge or discharge based on the net hydrogen flow. + +Parameters: +flow2h2s: The flow rate of hydrogen. +eleh2_in: The rate of hydrogen input from the electrolyser. +fuelh2_out: The rate of hydrogen output to the fuel cell. +soc: The current state of charge. +Returns: A dictionary with parameters indicating the operation and state of the hydrogen storage. +Overall Logic: +``` +Flow2h2s_net = Flow2h2s + Eleh2_in - Fuelh2_out +# Decide on charging or discharging based on Flow2h2s_net. +``` +This model manages the state of charge of a hydrogen storage system, factoring in the efficiency, capacity, and operational limits of the storage. It also accounts for the dynamics of charging and discharging based on the system's resolution and the net flow of hydrogen. + +Charging Logic: +``` +H2_flow = min(Max_h2, Flow2h2s_net) +If H2_flow > 0: + Calculate hydrogen discharge and capacity. + Update state of charge and flag accordingly. +``` +Discharging Logic: +``` +H2_flow = max(Min_h2, Flow2h2s_net) +If H2_flow < 0: + Calculate hydrogen discharge and capacity. + Update state of charge and flag accordingly. +``` + +---------------------------------------- +## Heat Pump +The Heat Pump model contains three models, which is original developed by [Mosaik](https://gitlab.com/mosaik/components/energy/mosaik-heatpump) + +1. A heat pump model, based on the [TESPy](https://github.com/oemof/tespy) library. +2. A hot water tank model +3. A controller model +-------------------------------------- + +## Heat Storage +The heat storage model parameters are all set in the python file named 'buildmodelset.py' in the configuration folder. +``` +'soc_init': the initial state of charge based on the temperature. +'max_temperature': the maximum temperature the storage can reach. +'min_temperature': the minimum temperature the storage can reach. +'insulation': the insulation quality of the storage. +'ext_temp': the external temperature. +'therm_cond': the thermal conductivity. +'length': the length of the storage container. +'diameter': the diameter of the storage container. +'density': the density of the storage medium. +'c': the specific heat capacity. +'eff': the efficiency of heat storage. +'max_q': the maximum heat flow rate. +'min_q': the minimum heat flow rate. +'resolution': the time-step of simulation in minutes. +``` +The output_q method determines whether to charge or discharge based on the net heat flow. + +Parameters: + +flow2qs: The net heat flow rate. +Returns: A dictionary with parameters indicating the operation and state of the heat storage. + +Overall Logic: +``` +Calculate heat loss. +Adjust Flow2qs based on heat loss. +Decide on charging or discharging based on Flow2qs. +``` +Charging Logic: +``` +Q_flow = min(Max_q, Flow2qs) +Calculate heat charge and internal temperature. +Update state of charge and flag accordingly. +``` +Discharging Logic: +``` +Q_flow = max(Min_q, Flow2qs) +Calculate heat discharge and internal temperature. +Update state of charge and flag accordingly. +``` +--------------------------------------- +## PV Model + +### Data input +The PV data is obtained from the Meteonorm software, and solar radiation and positioning values were obtained for the region +of Rotterdam. With the new updates, it was possible to extract 15-minute interval data from within +meteonorm. The input data and parameter setting for PV models are through the '.csv' or '.txt' file in the `Scenario` folder +and the file 'buildmodelset.py' in the configuration folder. The input data from '.csv' or '.txt' file are as follows, +``` +`G_Gh'GHI global horizontal irradiance +`G_Dh'DHI direct horizontal irradiance +`G_Bn': DNI direct normal irradiance +`Ta`: temperature +`hs`: elevation of the sun +`FF`: wind speed +`Az`: azimuth of the sun +``` +The parameters set in the python file are shown as follows, +``` +'Module_area': module area. available in the spec sheet of a PV module +'NOCT': module temperature under the standard test conditions (STC) and stands for Nominal Operating Cell Temperature +'Module_Efficiency' +'Irradiance_at_NOCT': W/m2 This is the irradiance that falls on the panel under NOCT conditions +'Power_output_at_STC': Watts. Available in the spec sheet of a module +'m_tilt': module tilt angle +'m_az': azimuth of the module +'cap': capacity +'output_type': power or energy +``` +### Model build up methodology +Calculating the irradiance on a module at a specific location is essential to calculate the output of +a PV system, and is governed by multiple factors. Irradiance is the incoming power of +solar radiation over a unit area and is measured in W/m2. Due to the rotation and revolution of the +earth, the position of the sun is not constant. Hence, the amount of irradiation received changes +continuously with the time of day, month, and year. Location on the earth also factors in for the amount of +irradiance received. Due to the changing elevation and azimuth angle of the sun throughout the day, +the incoming solar radiations are not normal to the surface. The angle between the normal surface and the solar radiation is called the Angle of Incidence (AOI), and it affects the amount of irradiance of the module surface. The equation +to calculate the AOI is shown below. +``` +cos_aoi = cos(90 - m_tilt)) * cos(hs) * cos(m_az - Az) + sin(90 - m_tilt)) * sin(hs) +``` +For testing the PV modules during manufacturing and calculating the output from a module over a while, some standard test conditions (STC) have been defined, according to which we have AM1.5 spectrum as standard with an irradiance of 1000 W/m2. The attenuation of solar radiation upon entering the earth is because of scattering and absorption by dust particles, +aerosols in the atmosphere, and air molecules. The presence of water vapor, oxygen, and carbon dioxide are significant +contributors to the absorption of radiation. Because of this attenuation, the incoming radiation breaks into a diffused component, +called Diffused Horizontal Irradiance (DHI) and a direct component of light, called Direct Normal Irradiance (DNI). +There is another component of the radiation that falls on the module surface, and that is the reflected component which is +because of the reflected radiations from the surface around the module. This is called Global Horizontal irradiance (GHI). +Meteorological stations measure the DHI and DNI and GHI can be calculated using the following formula where albedo ranges between 0.05 - 0.20 for urban environments, +0.05 - 0.10 for forests and 0.60 for snow. The following formulas are used to calculate the irradiance using the DHI, DNI, and GHI. +``` +svf = (1 + cos(m_tilt)) / 2 +g_diff = svf * G_Dn # svf is Sky View Factor +g_ref = albedo * (1 - self.svf) * G_Gh #albedo is the Albedo value 0.2 +g_dir = G_Bn * cos_aoi +g_all=g_diff+g_ref+g_dir +``` +Changing module temperature hurts the output of the module. Wind speed and the mounting height of the panel from the ground impact the module temperature. Blowing wind decreases the temperature due to convective heat transfer, and mounting above the ground makes enough space for heat to dissipate from the module and for its interaction with the blowing wind. +The Duffie-Beckman model covers these factors while calculating the module temperature. +``` +m_temp = Ta + (g_all/ Irradiance_at_NOCT)) * (NOCT - 20) * (9.5/(5.7 + 3.8*FF))) * (1 - Module_Efficiency / 0.90)) +``` +The module manufacturer provides it to give an estimate of average cell temperature. Instead of individual values of T and a, for silicon-based solar cells, T ∗ a +is taken as 0.9. +``` +efficiency = Module_Efficiency * (1 + (-0.0035 * (m_temp - 25))) +P_AC=cap * sf/P_STC*m_area*g_all*efficiency*inv_eff*mppt_eff*losses + +``` +--------------------------------------------- + +## Wind Model +### Data input +Wind data chosen is from an on-shore site situated in The Netherlands at 100m at 5 minutes intervals. +The input data and parameter setting for Wind models are through the '.csv' or '.txt' file in the `Scenario` folder +and the file 'buildmodelset.py' in the configuration folder. The input data from '.csv' or '.txt' file is the wind speed 'u'. +The parameters set in the python file are shown as follows, + +``` +'p_rated': kW power it generates at rated wind speed and above +'u_rated': m/s #windspeed it generates most power at +'u_cutin': m/s #below this wind speed no power generation +'u_cutout': m/s #above this wind speed no power generation. Blades are pitched +'cp': coefficient of performance of a turbine. Usually around0.40. Never more than 0.59 +'diameter': Wind turbine rotor diameter +'powerout': output power at wind speed u +``` +### Model build-up methodology + +The Power curve of the wind turbine is shown below. +
+ +
+ + +------------------------------------------------------------------ +## Load, Heat demand, Heat Product, Hydrogen product and Hydrogen demand +These models are very simple. Some of them just make a unit transfer from input to output.Some of them just read the data. + +--------------------------------------------------------------------- +## Electricity network, Hydrogen network and Heat network +These models are very simple like a tube. + +-------------------------------------------------------------------- +## Distribution network +The distribution network is build based on [Pandapower](https://pandapower.readthedocs.io/en/v2.13.1/) +More details refer to Pandapower diff --git a/_sources/user/start.md.txt b/_sources/user/start.md.txt new file mode 100644 index 0000000..eea37d6 --- /dev/null +++ b/_sources/user/start.md.txt @@ -0,0 +1,3 @@ +# User Documentation + +> Comming soon... \ No newline at end of file diff --git a/_sources/user/user-guide.md.txt b/_sources/user/user-guide.md.txt new file mode 100644 index 0000000..ef88496 --- /dev/null +++ b/_sources/user/user-guide.md.txt @@ -0,0 +1,255 @@ +# User's Guide + +## Configuration +There are three methods to configurate the cases. + + +### 1. Using Existing Cases + +You can use the provided `config.xml` and `connection.xml` files in the `Cases/` directory. +We provide four example in `Cases` folder: + * Residential Case study(`ResidentialCase`) + * Multienergy system case study(`MultienergyCase`) + * Electricity market game case study (`GameCase`) For more information about the electricity market case study, you can reference the [Msc thesis](https://repository.tudelft.nl/islandora/object/uuid:58029e39-5541-4a17-90cd-cc487383beec?collection=education), and + * Distribution voltage control case study (`DNcontrolCase`) . + + +The `config.xml` file is used to define the models in the case and where to +run the model. +For example in the `config.xml` below, we built a simulation with only Wind and PV models. +In the configuration below, the wind model runs (localy? in the master?) and the PV model runs in a **client** with IP '192.168.0.1', and the **master** get the PV model's information from the port the **client**'s port `5123`. + +```xml + #'Wind' ,'python','Models.Wind.wind_mosaik:WindSim' + #'PV','connect', '192.168.0.1:5123' + + + + + 0 + Wind + python + Models.Wind.wind_mosaik:WindSim + + + 1 + PV + connect + 192.168.0.1:5123 + +``` + +The `connection.xml` file sets how the message are transfered from one model to others. +For example in the snippet below, the `ctrl` model sends information about 'flow2e' to `electrolyser` to control its hydrogen generating speed. +The `electrolyser` send the 'h2_gen' information to model `h2storage` ‘h2_in’ to control the hydrogen storing speed. + +```xml + #['ctrl', 'electrolyser', 'flow2e'], + #['electrolyser', 'h2storage', 'h2_gen', 'h2_in'], + + + 13 + ctrl + electrolyser + flow2e + + + + 14 + electrolyser + h2storage + h2_gen + h2_in +``` + +### 2. Using the 'build configuration' Script + +User can configure a case using the python scripts `build_configuration_xml` in the folder `configuration/` directory. By executing the script, the `config.xml` and `connection.xml` +file will be automatically built. Use change the configuration by changing the parameters `sim_config` and `connection`. + + +### 3. Drawing Configurations + +The Illuminator also provide visualized method to create configuration. The user can use a smart board, touch screen or mouse to configurate +the case. To to this, firstly, run `drawpptx.py`. +Secondly, draw a configuration by hand and save as a PowerPoint file with a `.pptx` file extension. For example: + +
+ +
+ +Thirdly, run the script `readppt_connectionxml.py` to build the configuration files. + +## Defining Models +Model parameters, results presentation and real-time simulation are all set in the file `buildmodelse.py`. + +```python + Battery_initialset = {'initial_soc': 20} + Battery_set = {'max_p': 500, 'min_p': -500, 'max_energy': 500, + 'charge_efficiency': 0.9, 'discharge_efficiency': 0.9, + 'soc_min': 10, 'soc_max': 90, 'flag': 0, 'resolution': 15} #p in kW + #Set flag as 1 to show fully discharged state; -1 show fully charged,0 show ready to charge and discharge + + h2storage_initial = {'initial_soc': 50} + ttrailers_initial = {'initial_soc': 20} + h2_set = {'h2storage_soc_min': 10, 'h2storage_soc_max': 90, 'max_h2': 0.3, + 'min_h2': -0.3, 'flag': 0, 'capacity':30, 'eff': 0.94, 'resolution':resolution} + h2trailer_set = {'h2storage_soc_min': 10, 'h2storage_soc_max': 90, 'max_h2': 0.3, + 'min_h2': -0.3, 'flag': 0, 'capacity':3000, 'eff': 0.94, 'resolution':resolution} + # max_h2 min_h2 in m^3/min; + # flag as 1 to show fully discharged state; -1 show fully charged,0 show ready to charge and discharge + # approx efficiency of compressed hydrogen storage tanks. Roundtrip efficiency + # Capacity is max m3 of hydrogen that it can contain + + pv_panel_set ={'Module_area': 1.26, 'NOCT': 44, 'Module_Efficiency': 0.198, 'Irradiance_at_NOCT': 800, + 'Power_output_at_STC': 250,'peak_power':600} + pv_set={'m_tilt':14,'m_az':180,'cap':500,'output_type':'power'} + # 'NOCT':degree celsius; 'Irradiance_at_NOCT':W/m2 This is the irradiance that falls on the panel under NOCT conditions + # KW. Available in spec sheet of a module + load_set={'houses':1000, 'output_type':'power'} + + Wind_set={'p_rated':300, 'u_rated':10.3, 'u_cutin':2.8, 'u_cutout':25, 'cp':0.40, 'diameter':22, 'output_type':'power'} + Wind_on_set={'p_rated':300, 'u_rated':10.3, 'u_cutin':2.8, 'u_cutout':25, 'cp':0.40, 'diameter':22, 'output_type':'power'} + Wind_off_set={'p_rated':200, 'u_rated':7.5, 'u_cutin':2.8, 'u_cutout':15, 'cp':0.40, 'diameter':15, 'output_type':'power'} + # p_rated # kW power it generates at rated wind speed and above + # u_rated # m/s #windspeed it generates most power at + # u_cutin # m/s #below this wind speed no power generation + # u_cutout # m/s #above this wind speed no power generation. Blades are pitched + # cp # coefficient of performance of a turbine. Usually around0.40. Never more than 0.59 + # powerout = 0 # output power at wind speed u + fuelcell_set={'eff':0.45, 'term_eff': 0.2,'max_flow':100, 'min_flow':0,'resolution':resolution} + + electrolyser_set={'eff':0.60,'resolution':resolution, 'term_eff': 0.2,'rated_power':2.3,'ramp_rate':1.5} + # term_eff: percentage of power transformed in effective heat + + RESULTS_SHOW_TYPE={'write2csv':True, 'dashboard_show':False, 'Finalresults_show':True,'database':False,'mqtt':False} + #'write2csv':True/Flause Write the results to csv file + # #'Realtime_show':True/Flause, show the results in dashboard + # 'Finalresults_show':True/Flause, show the results after finish the simulation + # 'mqtt'::True/Flause, send the results outside through mqtt protocol. When this is True, you must set the receiver correctly. + + enetwork_set={'max_congestion': 1000, 'p_loss_m': 0.56, 'length': 300} + + h2network_set={'max_congestion': 700, 'V': 0.0314, 'leakage': 0.03, 'ro': 0.0899} + # max_congestion: max internal pressure bar + # leakage: % of internal flow loss + # ro: gas density kg/m^2 at STP + + heatnetwork_set = {'max_temperature': 300 + 275.15, 'insulation': 0.02, 'ext_temp': 25 + 275.15, 'therm_cond': 0.05, + 'length': 100, 'diameter': 0.3, 'density': 1000, 'c': 4.18} + # max_temperature : max_temperature allowed before congestion # K + # insulation: insulation layer diameter #m + # ext_temp: external temperature # K + # therm_cond: thermal conductivity # W/(m·K) + # leght: lenght of pipeline # m + # diameter: pipe diameter # m + # density: water density # kg/m^3 + # c : Thermal capacity of the medium #kJ/(kg·K) + + h2demand_r_set={'houses':0.5} + h2demand_fs_set={'tanks':1} + h2demand_ev_set={'cars':1} + h2product_set={'houses':1} + + + heatstorage_set = {'soc_init': 20, 'max_temperature': 300 + 275.15, 'min_temperature': 25+275.15, 'insulation': 0.20, + 'ext_temp': 25 + 275.15, 'therm_cond': 0.03, + 'length': 2.5, 'diameter': 1.5, 'density': 1000, 'c': 4.18, 'eff': 0.85, 'max_q': 300, 'min_q': -300} + # max_temperature : max_temperature allowed before soc max # K + # min_temperature : max_temperature allowed before soc min # K + # insulation: insulation layer diameter #m + # ext_temp: external temperature # K + # therm_cond: thermal conductivity # W/(m·K) + # leght: lenght of pipeline # m + # diameter: pipe diameter # m + # density: water density # kg/m^3 + # c: Thermal capacity of the medium #kJ/(kg·K) + # eff: charge/discharge efficiency + + # Seasonal storage + heatstorage_s_set = {'soc_init': 80, 'max_temperature': 300 + 275.15, 'min_temperature': 25+275.15, 'insulation': 0.20, + 'ext_temp': 25 + 275.15, 'therm_cond': 0.03, + 'length': 10, 'diameter': 2, 'density': 1000, 'c': 4.18, 'eff': 0.85, 'max_q': 300, 'min_q': -300} + # Daily storage + heatstorage_d_set = {'soc_init': 80, 'max_temperature': 300 + 275.15, 'min_temperature': 25+275.15, 'insulation': 0.20, + 'ext_temp': 25 + 275.15, 'therm_cond': 0.03, + 'length': 0.5, 'diameter': 1, 'density': 1000, 'c': 4.18, 'eff': 0.85, 'max_q': 300, 'min_q': -300} + + heatdemand_i_set={'factories':1} + heatdemand_r_set={'houses':1} + heatproduct_set={'utilities':1} + + hp_params = {'hp_model': 'Air_8kW', + 'heat_source': 'air', + 'cons_T': 35, + 'heat_source_T': 4, + 'T_amb': 25, + 'calc_mode': 'fast', + 'number': 15} + + eboiler_set = { 'capacity':30, 'min_load':5, 'max_load':10, 'standby_loss':0.2, + 'efficiency':0.8,'resolution':resolution} + + realtimefactor=0 + #0 as soon as possible. 1/60 using 1 second simulate 1 mintes + + metrics = {'prosumer_s1_0': {'MC': [0.07, 0.10], 'MB': [0.12],'MO': [0.05, 0.25], 'MR': [0.40]}, + 'prosumer_s1_1': {'MC': [0.27], 'MB': [0.20], 'MO': [0], 'MR': [0.33]}, + 'prosumer_s1_2': {'MC': [0.33, 0.07], 'MB': [0.18], 'MO': [0.09, 0.22], 'MR': [0.15]}, + 'prosumer_s1_3': {'MC': [0], 'MB': [0.50], 'MO': [0], 'MR': [0.50]}, + 'prosumer_s1_4': {'MC': [0.10,0.37], 'MB': [0.44], 'MO': [0.01, 0.20], 'MR': [0.20]}, + 'prosumer_s1_5': {'MC': [0.12], 'MB': [0.28], 'MO': [0.17], 'MR': [0.19]}, + } +``` + +## Running Simulations + +> This was set up as a shortcut to collect data and do plotting + +Run the `simulation creator_**.py` to create and run the simulation based on the provided case and scenario. +To see the results via the dashboard, you need Internet and sign up in [wandb software](https://wandb.ai/site). +The `simple_test.py` shows a simple case with the configuration inside of the file. + + +## Demos +Four case studies show how to use Illuminator, and to verify the Illuminator’s performance. + + +### 1. Residencial Case + +The first demo shows a residential energy community system which include Households, +PV panels, Wind generators, Battery and Hydrogen system +to achieve electric power self-sufficiency. +The controller’s algorithm in this case runs in the **master** RasPi `Controllers/ResidentialController`, and +the rest **client** simulators are separately deployed in different +RasPis. The data flow between the simulators (clients) is also shown in +the figure below. Based on the inputs, including the generated power +from PV and Wind, the consuming power of households, and +the state of charge (Soc) of the Battery and Hydrogen, the +controller decides the power from the Battery and Fuel cell +and the power to the Electrolyser. + +In the case study, we use +simple logic to achieve self-sufficiency. If Battery has enough +capacity for charging or discharging to achieve power balance, +use the Battery first. If Battery doesn’t have enough capacity +to achieve power balance, then use Electrolyser or Fuel cell +to achieve power balance. All the input data are in the `Scenarios/` directory and all the output data are in file `Result/ResidentialCase/`. + +
+ +
+ +### 2. Multi-carriers Case +The second demo shows the Multi-carriers energy system, which incorporate the electricity +network, hydrogen network and heat network. All the energy assets are shown in the below figure. + +
+ +
+ +### 3. Electricity Trade Game +The third demo shows the electricity trade game and more details please refer to this [Msc thesis](https://repository.tudelft.nl/islandora/object/uuid:58029e39-5541-4a17-90cd-cc487383beec?collection=education) + +### 4. CIGRE LV Case +The fourth demo shows the voltage control in the CIGRE LV voltage network. The network model is in the `Models/EleDisNetworkSim/` directory, and the control method is in `Controllers/NetVoltageControllerSim/` diff --git a/_static/_sphinx_javascript_frameworks_compat.js b/_static/_sphinx_javascript_frameworks_compat.js new file mode 100644 index 0000000..8141580 --- /dev/null +++ b/_static/_sphinx_javascript_frameworks_compat.js @@ -0,0 +1,123 @@ +/* Compatability shim for jQuery and underscores.js. + * + * Copyright Sphinx contributors + * Released under the two clause BSD licence + */ + +/** + * small helper function to urldecode strings + * + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL + */ +jQuery.urldecode = function(x) { + if (!x) { + return x + } + return decodeURIComponent(x.replace(/\+/g, ' ')); +}; + +/** + * small helper function to urlencode strings + */ +jQuery.urlencode = encodeURIComponent; + +/** + * This function returns the parsed url parameters of the + * current request. 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+ margin-bottom: 0; + margin-left: 1.5em; +} + +.guilabel, .menuselection { + font-family: sans-serif; +} + +.accelerator { + text-decoration: underline; +} + +.classifier { + font-style: oblique; +} + +.classifier:before { + font-style: normal; + margin: 0 0.5em; + content: ":"; + display: inline-block; +} + +abbr, acronym { + border-bottom: dotted 1px; + cursor: help; +} + +.translated { + background-color: rgba(207, 255, 207, 0.2) +} + +.untranslated { + background-color: rgba(255, 207, 207, 0.2) +} + +/* -- code displays --------------------------------------------------------- */ + +pre { + overflow: auto; + overflow-y: hidden; /* fixes display issues on Chrome browsers */ +} + +pre, div[class*="highlight-"] { + clear: both; +} + +span.pre { + -moz-hyphens: none; + -ms-hyphens: none; + -webkit-hyphens: none; + hyphens: none; + white-space: nowrap; +} + +div[class*="highlight-"] { + margin: 1em 0; +} + +td.linenos pre { + border: 0; + background-color: transparent; + color: #aaa; +} + +table.highlighttable { + display: block; +} + +table.highlighttable tbody { + display: block; +} + +table.highlighttable tr { + display: flex; +} + +table.highlighttable td { + margin: 0; + padding: 0; +} + +table.highlighttable td.linenos { + padding-right: 0.5em; +} + +table.highlighttable td.code { + flex: 1; + overflow: hidden; +} + +.highlight .hll { + display: block; +} + +div.highlight pre, +table.highlighttable pre { + margin: 0; +} + +div.code-block-caption + div { + margin-top: 0; +} + +div.code-block-caption { + margin-top: 1em; + padding: 2px 5px; + font-size: small; +} + +div.code-block-caption code { + background-color: transparent; +} + +table.highlighttable td.linenos, +span.linenos, +div.highlight span.gp { /* gp: Generic.Prompt */ + user-select: none; + -webkit-user-select: text; /* Safari fallback only */ + -webkit-user-select: none; /* Chrome/Safari */ + -moz-user-select: none; /* Firefox */ + -ms-user-select: none; /* IE10+ */ +} + +div.code-block-caption span.caption-number { + padding: 0.1em 0.3em; + font-style: italic; +} + +div.code-block-caption span.caption-text { +} + +div.literal-block-wrapper { + margin: 1em 0; +} + +code.xref, a code { + background-color: transparent; + font-weight: bold; +} + +h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { + background-color: transparent; +} + +.viewcode-link { + float: right; +} + +.viewcode-back { + float: right; + font-family: sans-serif; +} + +div.viewcode-block:target { + margin: -1px -10px; + padding: 0 10px; +} + +/* -- math display ---------------------------------------------------------- */ + +img.math { + vertical-align: middle; +} + +div.body div.math p { + text-align: center; +} + +span.eqno { + float: right; +} + +span.eqno a.headerlink { + position: absolute; + z-index: 1; +} + +div.math:hover a.headerlink { + visibility: visible; +} + +/* -- printout stylesheet --------------------------------------------------- */ + +@media print { + div.document, + div.documentwrapper, + div.bodywrapper { + margin: 0 !important; + width: 100%; + } + + div.sphinxsidebar, + div.related, + div.footer, + #top-link { + display: none; + } +} \ No newline at end of file diff --git a/_static/check-solid.svg b/_static/check-solid.svg new file mode 100644 index 0000000..92fad4b --- /dev/null +++ b/_static/check-solid.svg @@ -0,0 +1,4 @@ + + + + diff --git a/_static/clipboard.min.js b/_static/clipboard.min.js new file mode 100644 index 0000000..54b3c46 --- /dev/null +++ b/_static/clipboard.min.js @@ -0,0 +1,7 @@ +/*! + * clipboard.js v2.0.8 + * https://clipboardjs.com/ + * + * Licensed MIT © Zeno Rocha + */ +!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return o}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),c=n.n(e);function a(t){try{return document.execCommand(t)}catch(t){return}}var f=function(t){t=c()(t);return a("cut"),t};var l=function(t){var e,n,o,r=1 + + + + diff --git a/_static/copybutton.css b/_static/copybutton.css new file mode 100644 index 0000000..f1916ec --- /dev/null +++ b/_static/copybutton.css @@ -0,0 +1,94 @@ +/* Copy buttons */ +button.copybtn { + position: absolute; + display: flex; + top: .3em; + right: .3em; + width: 1.7em; + height: 1.7em; + opacity: 0; + transition: opacity 0.3s, border .3s, background-color .3s; + user-select: none; + padding: 0; + border: none; + outline: none; + border-radius: 0.4em; + /* The colors that GitHub uses */ + border: #1b1f2426 1px solid; + background-color: #f6f8fa; + color: #57606a; +} + +button.copybtn.success { + border-color: #22863a; + color: #22863a; +} + +button.copybtn svg { + stroke: currentColor; + width: 1.5em; + height: 1.5em; + padding: 0.1em; +} + +div.highlight { + position: relative; +} + +/* Show the copybutton */ +.highlight:hover button.copybtn, button.copybtn.success { + opacity: 1; +} + +.highlight button.copybtn:hover { + background-color: rgb(235, 235, 235); +} + +.highlight button.copybtn:active { + background-color: rgb(187, 187, 187); +} + +/** + * A minimal CSS-only tooltip copied from: + * https://codepen.io/mildrenben/pen/rVBrpK + * + * To use, write HTML like the following: + * + *

Short

+ */ + .o-tooltip--left { + position: relative; + } + + .o-tooltip--left:after { + opacity: 0; + visibility: hidden; + position: absolute; + content: attr(data-tooltip); + padding: .2em; + font-size: .8em; + left: -.2em; + background: grey; + color: white; + white-space: nowrap; + z-index: 2; + border-radius: 2px; + transform: translateX(-102%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); +} + +.o-tooltip--left:hover:after { + display: block; + opacity: 1; + visibility: visible; + transform: translateX(-100%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); + transition-delay: .5s; +} + +/* By default the copy button shouldn't show up when printing a page */ +@media print { + button.copybtn { + display: none; + } +} diff --git a/_static/copybutton.js b/_static/copybutton.js new file mode 100644 index 0000000..2ea7ff3 --- /dev/null +++ b/_static/copybutton.js @@ -0,0 +1,248 @@ +// Localization support +const messages = { + 'en': { + 'copy': 'Copy', + 'copy_to_clipboard': 'Copy to clipboard', + 'copy_success': 'Copied!', + 'copy_failure': 'Failed to copy', + }, + 'es' : { + 'copy': 'Copiar', + 'copy_to_clipboard': 'Copiar al portapapeles', + 'copy_success': '¡Copiado!', + 'copy_failure': 'Error al copiar', + }, + 'de' : { + 'copy': 'Kopieren', + 'copy_to_clipboard': 'In die Zwischenablage kopieren', + 'copy_success': 'Kopiert!', + 'copy_failure': 'Fehler beim Kopieren', + }, + 'fr' : { + 'copy': 'Copier', + 'copy_to_clipboard': 'Copier dans le presse-papier', + 'copy_success': 'Copié !', + 'copy_failure': 'Échec de la copie', + }, + 'ru': { + 'copy': 'Скопировать', + 'copy_to_clipboard': 'Скопировать в буфер', + 'copy_success': 'Скопировано!', + 'copy_failure': 'Не удалось скопировать', + }, + 'zh-CN': { + 'copy': '复制', + 'copy_to_clipboard': '复制到剪贴板', + 'copy_success': '复制成功!', + 'copy_failure': '复制失败', + }, + 'it' : { + 'copy': 'Copiare', + 'copy_to_clipboard': 'Copiato negli appunti', + 'copy_success': 'Copiato!', + 'copy_failure': 'Errore durante la copia', + } +} + +let locale = 'en' +if( document.documentElement.lang !== undefined + && messages[document.documentElement.lang] !== undefined ) { + locale = document.documentElement.lang +} + +let doc_url_root = DOCUMENTATION_OPTIONS.URL_ROOT; +if (doc_url_root == '#') { + doc_url_root = ''; +} + +/** + * SVG files for our copy buttons + */ +let iconCheck = ` + ${messages[locale]['copy_success']} + + +` + +// If the user specified their own SVG use that, otherwise use the default +let iconCopy = ``; +if (!iconCopy) { + iconCopy = ` + ${messages[locale]['copy_to_clipboard']} + + + +` +} + +/** + * Set up copy/paste for code blocks + */ + +const runWhenDOMLoaded = cb => { + if (document.readyState != 'loading') { + cb() + } else if (document.addEventListener) { + document.addEventListener('DOMContentLoaded', cb) + } else { + document.attachEvent('onreadystatechange', function() { + if (document.readyState == 'complete') cb() + }) + } +} + +const codeCellId = index => `codecell${index}` + +// Clears selected text since ClipboardJS will select the text when copying +const clearSelection = () => { + if (window.getSelection) { + window.getSelection().removeAllRanges() + } else if (document.selection) { + document.selection.empty() + } +} + +// Changes tooltip text for a moment, then changes it back +// We want the timeout of our `success` class to be a bit shorter than the +// tooltip and icon change, so that we can hide the icon before changing back. +var timeoutIcon = 2000; +var timeoutSuccessClass = 1500; + +const temporarilyChangeTooltip = (el, oldText, newText) => { + el.setAttribute('data-tooltip', newText) + el.classList.add('success') + // Remove success a little bit sooner than we change the tooltip + // So that we can use CSS to hide the copybutton first + setTimeout(() => el.classList.remove('success'), timeoutSuccessClass) + setTimeout(() => el.setAttribute('data-tooltip', oldText), timeoutIcon) +} + +// Changes the copy button icon for two seconds, then changes it back +const temporarilyChangeIcon = (el) => { + el.innerHTML = iconCheck; + setTimeout(() => {el.innerHTML = iconCopy}, timeoutIcon) +} + +const addCopyButtonToCodeCells = () => { + // If ClipboardJS hasn't loaded, wait a bit and try again. This + // happens because we load ClipboardJS asynchronously. + if (window.ClipboardJS === undefined) { + setTimeout(addCopyButtonToCodeCells, 250) + return + } + + // Add copybuttons to all of our code cells + const COPYBUTTON_SELECTOR = 'div.highlight pre'; + const codeCells = document.querySelectorAll(COPYBUTTON_SELECTOR) + codeCells.forEach((codeCell, index) => { + const id = codeCellId(index) + codeCell.setAttribute('id', id) + + const clipboardButton = id => + `` + codeCell.insertAdjacentHTML('afterend', clipboardButton(id)) + }) + +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +/** + * Removes excluded text from a Node. + * + * @param {Node} target Node to filter. + * @param {string} exclude CSS selector of nodes to exclude. + * @returns {DOMString} Text from `target` with text removed. + */ +function filterText(target, exclude) { + const clone = target.cloneNode(true); // clone as to not modify the live DOM + if (exclude) { + // remove excluded nodes + clone.querySelectorAll(exclude).forEach(node => node.remove()); + } + return clone.innerText; +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); + } + + // Remove a trailing newline to avoid auto-running when pasting + if (textContent.endsWith("\n")) { + textContent = textContent.slice(0, -1) + } + return textContent +} + + +var copyTargetText = (trigger) => { + var target = document.querySelector(trigger.attributes['data-clipboard-target'].value); + + // get filtered text + let exclude = '.linenos'; + + let text = filterText(target, exclude); + return formatCopyText(text, '', false, true, true, true, '', '') +} + + // Initialize with a callback so we can modify the text before copy + const clipboard = new ClipboardJS('.copybtn', {text: copyTargetText}) + + // Update UI with error/success messages + clipboard.on('success', event => { + clearSelection() + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_success']) + temporarilyChangeIcon(event.trigger) + }) + + clipboard.on('error', event => { + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_failure']) + }) +} + +runWhenDOMLoaded(addCopyButtonToCodeCells) \ No newline at end of file diff --git a/_static/copybutton_funcs.js b/_static/copybutton_funcs.js new file mode 100644 index 0000000..dbe1aaa --- /dev/null +++ b/_static/copybutton_funcs.js @@ -0,0 +1,73 @@ +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +/** + * Removes excluded text from a Node. + * + * @param {Node} target Node to filter. + * @param {string} exclude CSS selector of nodes to exclude. + * @returns {DOMString} Text from `target` with text removed. + */ +export function filterText(target, exclude) { + const clone = target.cloneNode(true); // clone as to not modify the live DOM + if (exclude) { + // remove excluded nodes + clone.querySelectorAll(exclude).forEach(node => node.remove()); + } + return clone.innerText; +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); 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+ +/** + * Simple result scoring code. + */ +if (typeof Scorer === "undefined") { + var Scorer = { + // Implement the following function to further tweak the score for each result + // The function takes a result array [docname, title, anchor, descr, score, filename] + // and returns the new score. + /* + score: result => { + const [docname, title, anchor, descr, score, filename] = result + return score + }, + */ + + // query matches the full name of an object + objNameMatch: 11, + // or matches in the last dotted part of the object name + objPartialMatch: 6, + // Additive scores depending on the priority of the object + objPrio: { + 0: 15, // used to be importantResults + 1: 5, // used to be objectResults + 2: -5, // used to be unimportantResults + }, + // Used when the priority is not in the mapping. + objPrioDefault: 0, + + // query found in title + title: 15, + partialTitle: 7, + // query found in terms + term: 5, + partialTerm: 2, + }; +} + +const _removeChildren = (element) => { + while (element && element.lastChild) element.removeChild(element.lastChild); 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+ linkUrl = requestUrl; + } else { + // normal html builders + requestUrl = contentRoot + docName + docFileSuffix; + linkUrl = docName + docLinkSuffix; + } + let linkEl = listItem.appendChild(document.createElement("a")); + linkEl.href = linkUrl + anchor; + linkEl.dataset.score = score; + linkEl.innerHTML = title; + if (descr) { + listItem.appendChild(document.createElement("span")).innerHTML = + " (" + descr + ")"; + // highlight search terms in the description + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + } + else if (showSearchSummary) + fetch(requestUrl) + .then((responseData) => responseData.text()) + .then((data) => { + if (data) + listItem.appendChild( + Search.makeSearchSummary(data, searchTerms, anchor) + ); + // highlight search terms in the summary + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + }); + Search.output.appendChild(listItem); +}; +const _finishSearch = (resultCount) => { + Search.stopPulse(); + Search.title.innerText = _("Search Results"); + if (!resultCount) + Search.status.innerText = Documentation.gettext( + "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories." + ); + else + Search.status.innerText = _( + "Search finished, found ${resultCount} page(s) matching the search query." + ).replace('${resultCount}', resultCount); +}; +const _displayNextItem = ( + results, + resultCount, + searchTerms, + highlightTerms, +) => { + // results left, load the summary and display it + // this is intended to be dynamic (don't sub resultsCount) + if (results.length) { + _displayItem(results.pop(), searchTerms, highlightTerms); + setTimeout( + () => _displayNextItem(results, resultCount, searchTerms, highlightTerms), + 5 + ); + } + // search finished, update title and status message + else _finishSearch(resultCount); +}; +// Helper function used by query() to order search results. +// Each input is an array of [docname, title, anchor, descr, score, filename]. +// Order the results by score (in opposite order of appearance, since the +// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically. +const _orderResultsByScoreThenName = (a, b) => { + const leftScore = a[4]; + const rightScore = b[4]; + if (leftScore === rightScore) { + // same score: sort alphabetically + const leftTitle = a[1].toLowerCase(); + const rightTitle = b[1].toLowerCase(); + if (leftTitle === rightTitle) return 0; + return leftTitle > rightTitle ? -1 : 1; // inverted is intentional + } + return leftScore > rightScore ? 1 : -1; +}; + +/** + * Default splitQuery function. Can be overridden in ``sphinx.search`` with a + * custom function per language. + * + * The regular expression works by splitting the string on consecutive characters + * that are not Unicode letters, numbers, underscores, or emoji characters. + * This is the same as ``\W+`` in Python, preserving the surrogate pair area. + */ +if (typeof splitQuery === "undefined") { + var splitQuery = (query) => query + .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu) + .filter(term => term) // remove remaining empty strings +} + +/** + * Search Module + */ +const Search = { + _index: null, + _queued_query: null, + _pulse_status: -1, + + htmlToText: (htmlString, anchor) => { + const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html'); + for (const removalQuery of [".headerlink", "script", "style"]) { + htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() }); + } + if (anchor) { + const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`); + if (anchorContent) return anchorContent.textContent; + + console.warn( + `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.` + ); + } + + // if anchor not specified or not found, fall back to main content + const docContent = htmlElement.querySelector('[role="main"]'); + if (docContent) return docContent.textContent; + + console.warn( + "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template." + ); + return ""; + }, + + init: () => { + const query = new URLSearchParams(window.location.search).get("q"); + document + .querySelectorAll('input[name="q"]') + .forEach((el) => (el.value = query)); + if (query) Search.performSearch(query); + }, + + loadIndex: (url) => + (document.body.appendChild(document.createElement("script")).src = url), + + setIndex: (index) => { + Search._index = index; + if (Search._queued_query !== null) { + const query = Search._queued_query; + Search._queued_query = null; + Search.query(query); + } + }, + + hasIndex: () => Search._index !== null, + + deferQuery: (query) => (Search._queued_query = query), + + stopPulse: () => (Search._pulse_status = -1), + + startPulse: () => { + if (Search._pulse_status >= 0) return; + + const pulse = () => { + Search._pulse_status = (Search._pulse_status + 1) % 4; + Search.dots.innerText = ".".repeat(Search._pulse_status); + if (Search._pulse_status >= 0) window.setTimeout(pulse, 500); + }; + pulse(); + }, + + /** + * perform a search for something (or wait until index is loaded) + */ + performSearch: (query) => { + // create the required interface elements + const searchText = document.createElement("h2"); + searchText.textContent = _("Searching"); + const searchSummary = document.createElement("p"); + searchSummary.classList.add("search-summary"); + searchSummary.innerText = ""; + const searchList = document.createElement("ul"); + searchList.classList.add("search"); + + const out = document.getElementById("search-results"); + Search.title = out.appendChild(searchText); + Search.dots = Search.title.appendChild(document.createElement("span")); + Search.status = out.appendChild(searchSummary); + Search.output = out.appendChild(searchList); + + const searchProgress = document.getElementById("search-progress"); + // Some themes don't use the search progress node + if (searchProgress) { + searchProgress.innerText = _("Preparing search..."); + } + Search.startPulse(); + + // index already loaded, the browser was quick! + if (Search.hasIndex()) Search.query(query); + else Search.deferQuery(query); + }, + + _parseQuery: (query) => { + // stem the search terms and add them to the correct list + const stemmer = new Stemmer(); + const searchTerms = new Set(); + const excludedTerms = new Set(); + const highlightTerms = new Set(); + const objectTerms = new Set(splitQuery(query.toLowerCase().trim())); + splitQuery(query.trim()).forEach((queryTerm) => { + const queryTermLower = queryTerm.toLowerCase(); + + // maybe skip this "word" + // stopwords array is from language_data.js + if ( + stopwords.indexOf(queryTermLower) !== -1 || + queryTerm.match(/^\d+$/) + ) + return; + + // stem the word + let word = stemmer.stemWord(queryTermLower); + // select the correct list + if (word[0] === "-") excludedTerms.add(word.substr(1)); + else { + searchTerms.add(word); + highlightTerms.add(queryTermLower); + } + }); + + if (SPHINX_HIGHLIGHT_ENABLED) { // set in sphinx_highlight.js + localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" ")) + } + + // console.debug("SEARCH: searching for:"); + // console.info("required: ", [...searchTerms]); + // console.info("excluded: ", [...excludedTerms]); + + return [query, searchTerms, excludedTerms, highlightTerms, objectTerms]; + }, + + /** + * execute search (requires search index to be loaded) + */ + _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + const allTitles = Search._index.alltitles; + const indexEntries = Search._index.indexentries; + + // Collect multiple result groups to be sorted separately and then ordered. + // Each is an array of [docname, title, anchor, descr, score, filename]. + const normalResults = []; + const nonMainIndexResults = []; + + _removeChildren(document.getElementById("search-progress")); + + const queryLower = query.toLowerCase().trim(); + for (const [title, foundTitles] of Object.entries(allTitles)) { + if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) { + for (const [file, id] of foundTitles) { + const score = Math.round(Scorer.title * queryLower.length / title.length); + const boost = titles[file] === title ? 1 : 0; // add a boost for document titles + normalResults.push([ + docNames[file], + titles[file] !== title ? `${titles[file]} > ${title}` : title, + id !== null ? "#" + id : "", + null, + score + boost, + filenames[file], + ]); + } + } + } + + // search for explicit entries in index directives + for (const [entry, foundEntries] of Object.entries(indexEntries)) { + if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) { + for (const [file, id, isMain] of foundEntries) { + const score = Math.round(100 * queryLower.length / entry.length); + const result = [ + docNames[file], + titles[file], + id ? "#" + id : "", + null, + score, + filenames[file], + ]; + if (isMain) { + normalResults.push(result); + } else { + nonMainIndexResults.push(result); + } + } + } + } + + // lookup as object + objectTerms.forEach((term) => + normalResults.push(...Search.performObjectSearch(term, objectTerms)) + ); + + // lookup as search terms in fulltext + normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms)); + + // let the scorer override scores with a custom scoring function + if (Scorer.score) { + normalResults.forEach((item) => (item[4] = Scorer.score(item))); + nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item))); + } + + // Sort each group of results by score and then alphabetically by name. + normalResults.sort(_orderResultsByScoreThenName); + nonMainIndexResults.sort(_orderResultsByScoreThenName); + + // Combine the result groups in (reverse) order. + // Non-main index entries are typically arbitrary cross-references, + // so display them after other results. + let results = [...nonMainIndexResults, ...normalResults]; + + // remove duplicate search results + // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept + let seen = new Set(); + results = results.reverse().reduce((acc, result) => { + let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(','); + if (!seen.has(resultStr)) { + acc.push(result); + seen.add(resultStr); + } + return acc; + }, []); + + return results.reverse(); + }, + + query: (query) => { + const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query); + const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms); + + // for debugging + //Search.lastresults = results.slice(); // a copy + // console.info("search results:", Search.lastresults); + + // print the results + _displayNextItem(results, results.length, searchTerms, highlightTerms); + }, + + /** + * search for object names + */ + performObjectSearch: (object, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const objects = Search._index.objects; + const objNames = Search._index.objnames; + const titles = Search._index.titles; + + const results = []; + + const objectSearchCallback = (prefix, match) => { + const name = match[4] + const fullname = (prefix ? prefix + "." : "") + name; + const fullnameLower = fullname.toLowerCase(); + if (fullnameLower.indexOf(object) < 0) return; + + let score = 0; + const parts = fullnameLower.split("."); + + // check for different match types: exact matches of full name or + // "last name" (i.e. last dotted part) + if (fullnameLower === object || parts.slice(-1)[0] === object) + score += Scorer.objNameMatch; + else if (parts.slice(-1)[0].indexOf(object) > -1) + score += Scorer.objPartialMatch; // matches in last name + + const objName = objNames[match[1]][2]; + const title = titles[match[0]]; + + // If more than one term searched for, we require other words to be + // found in the name/title/description + const otherTerms = new Set(objectTerms); + otherTerms.delete(object); + if (otherTerms.size > 0) { + const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase(); + if ( + [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0) + ) + return; + } + + let anchor = match[3]; + if (anchor === "") anchor = fullname; + else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname; + + const descr = objName + _(", in ") + title; + + // add custom score for some objects according to scorer + if (Scorer.objPrio.hasOwnProperty(match[2])) + score += Scorer.objPrio[match[2]]; + else score += Scorer.objPrioDefault; + + results.push([ + docNames[match[0]], + fullname, + "#" + anchor, + descr, + score, + filenames[match[0]], + ]); + }; + Object.keys(objects).forEach((prefix) => + objects[prefix].forEach((array) => + objectSearchCallback(prefix, array) + ) + ); + return results; + }, + + /** + * search for full-text terms in the index + */ + performTermsSearch: (searchTerms, excludedTerms) => { + // prepare search + const terms = Search._index.terms; + const titleTerms = Search._index.titleterms; + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + + const scoreMap = new Map(); + const fileMap = new Map(); + + // perform the search on the required terms + searchTerms.forEach((word) => { + const files = []; + const arr = [ + { files: terms[word], score: Scorer.term }, + { files: titleTerms[word], score: Scorer.title }, + ]; + // add support for partial matches + if (word.length > 2) { + const escapedWord = _escapeRegExp(word); + if (!terms.hasOwnProperty(word)) { + Object.keys(terms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: terms[term], score: Scorer.partialTerm }); + }); + } + if (!titleTerms.hasOwnProperty(word)) { + Object.keys(titleTerms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: titleTerms[term], score: Scorer.partialTitle }); + }); + } + } + + // no match but word was a required one + if (arr.every((record) => record.files === undefined)) return; + + // found search word in contents + arr.forEach((record) => { + if (record.files === undefined) return; + + let recordFiles = record.files; + if (recordFiles.length === undefined) recordFiles = [recordFiles]; + files.push(...recordFiles); + + // set score for the word in each file + recordFiles.forEach((file) => { + if (!scoreMap.has(file)) scoreMap.set(file, {}); + scoreMap.get(file)[word] = record.score; + }); + }); + + // create the mapping + files.forEach((file) => { + if (!fileMap.has(file)) fileMap.set(file, [word]); + else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word); + }); + }); + + // now check if the files don't contain excluded terms + const results = []; + for (const [file, wordList] of fileMap) { + // check if all requirements are matched + + // as search terms with length < 3 are discarded + const filteredTermCount = [...searchTerms].filter( + (term) => term.length > 2 + ).length; + if ( + wordList.length !== searchTerms.size && + wordList.length !== filteredTermCount + ) + continue; + + // ensure that none of the excluded terms is in the search result + if ( + [...excludedTerms].some( + (term) => + terms[term] === file || + titleTerms[term] === file || + (terms[term] || []).includes(file) || + (titleTerms[term] || []).includes(file) + ) + ) + break; + + // select one (max) score for the file. + const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w])); + // add result to the result list + results.push([ + docNames[file], + titles[file], + "", + null, + score, + filenames[file], + ]); + } + return results; + }, + + /** + * helper function to return a node containing the + * search summary for a given text. keywords is a list + * of stemmed words. + */ + makeSearchSummary: (htmlText, keywords, anchor) => { + const text = Search.htmlToText(htmlText, anchor); + if (text === "") return null; + + const textLower = text.toLowerCase(); + const actualStartPosition = [...keywords] + .map((k) => textLower.indexOf(k.toLowerCase())) + .filter((i) => i > -1) + .slice(-1)[0]; + const startWithContext = Math.max(actualStartPosition - 120, 0); + + const top = startWithContext === 0 ? "" : "..."; + const tail = startWithContext + 240 < text.length ? "..." : ""; + + let summary = document.createElement("p"); + summary.classList.add("context"); + summary.textContent = top + text.substr(startWithContext, 240).trim() + tail; + + return summary; + }, +}; + +_ready(Search.init); diff --git a/_static/sphinx_highlight.js b/_static/sphinx_highlight.js new file mode 100644 index 0000000..8a96c69 --- /dev/null +++ b/_static/sphinx_highlight.js @@ -0,0 +1,154 @@ +/* Highlighting utilities for Sphinx HTML documentation. */ +"use strict"; + +const SPHINX_HIGHLIGHT_ENABLED = true + +/** + * highlight a given string on a node by wrapping it in + * span elements with the given class name. + */ +const _highlight = (node, addItems, text, className) => { + if (node.nodeType === Node.TEXT_NODE) { + const val = node.nodeValue; + const parent = node.parentNode; + const pos = val.toLowerCase().indexOf(text); + if ( + pos >= 0 && + !parent.classList.contains(className) && + !parent.classList.contains("nohighlight") + ) { + let span; + + const closestNode = parent.closest("body, svg, foreignObject"); + const isInSVG = closestNode && closestNode.matches("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.classList.add(className); + } + + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + const rest = document.createTextNode(val.substr(pos + text.length)); + parent.insertBefore( + span, + parent.insertBefore( + rest, + node.nextSibling + ) + ); + node.nodeValue = val.substr(0, pos); + /* There may be more occurrences of search term in this node. So call this + * function recursively on the remaining fragment. + */ + _highlight(rest, addItems, text, className); + + if (isInSVG) { + const rect = document.createElementNS( + "http://www.w3.org/2000/svg", + "rect" + ); + const bbox = parent.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute("class", className); + addItems.push({ parent: parent, target: rect }); + } + } + } else if (node.matches && !node.matches("button, select, textarea")) { + node.childNodes.forEach((el) => _highlight(el, addItems, text, className)); + } +}; +const _highlightText = (thisNode, text, className) => { + let addItems = []; + _highlight(thisNode, addItems, text, className); + addItems.forEach((obj) => + obj.parent.insertAdjacentElement("beforebegin", obj.target) + ); +}; + +/** + * Small JavaScript module for the documentation. + */ +const SphinxHighlight = { + + /** + * highlight the search words provided in localstorage in the text + */ + highlightSearchWords: () => { + if (!SPHINX_HIGHLIGHT_ENABLED) return; // bail if no highlight + + // get and clear terms from localstorage + const url = new URL(window.location); + const highlight = + localStorage.getItem("sphinx_highlight_terms") + || url.searchParams.get("highlight") + || ""; + localStorage.removeItem("sphinx_highlight_terms") + url.searchParams.delete("highlight"); + window.history.replaceState({}, "", url); + + // get individual terms from highlight string + const terms = highlight.toLowerCase().split(/\s+/).filter(x => x); + if (terms.length === 0) return; // nothing to do + + // There should never be more than one element matching "div.body" + const divBody = document.querySelectorAll("div.body"); + const body = divBody.length ? divBody[0] : document.querySelector("body"); + window.setTimeout(() => { + terms.forEach((term) => _highlightText(body, term, "highlighted")); + }, 10); + + const searchBox = document.getElementById("searchbox"); + if (searchBox === null) return; + searchBox.appendChild( + document + .createRange() + .createContextualFragment( + '" + ) + ); + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords: () => { + document + .querySelectorAll("#searchbox .highlight-link") + .forEach((el) => el.remove()); + document + .querySelectorAll("span.highlighted") + .forEach((el) => el.classList.remove("highlighted")); + localStorage.removeItem("sphinx_highlight_terms") + }, + + initEscapeListener: () => { + // only install a listener if it is really needed + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return; + + document.addEventListener("keydown", (event) => { + // bail for input elements + if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; + // bail with special keys + if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return; + if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) { + SphinxHighlight.hideSearchWords(); + event.preventDefault(); + } + }); + }, +}; + +_ready(() => { + /* Do not call highlightSearchWords() when we are on the search page. + * It will highlight words from the *previous* search query. + */ + if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords(); + SphinxHighlight.initEscapeListener(); +}); diff --git a/developer/start.html b/developer/start.html new file mode 100644 index 0000000..bd7d0b0 --- /dev/null +++ b/developer/start.html @@ -0,0 +1,127 @@ + + + + + + + Developer’s Documenation — Illuminator 1.0.0 documentation + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Developer’s Documenation

+
+

Comming soon…

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/genindex.html b/genindex.html new file mode 100644 index 0000000..e34a651 --- /dev/null +++ b/genindex.html @@ -0,0 +1,122 @@ + + + + + + Index — Illuminator 1.0.0 documentation + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
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+
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  • + +
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  • +
+
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+
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+ + +

Index

+ +
+ +
+ + +
+
+
+ +
+ +
+

© Copyright 2024, Illuminator Team.

+
+ + Built with Sphinx using a + theme + provided by Read the Docs. + + +
+
+
+
+
+ + + + \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 0000000..2b3e898 --- /dev/null +++ b/index.html @@ -0,0 +1,170 @@ + + + + + + + Illuminator documentation — Illuminator 1.0.0 documentation + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
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+ +
+
+
+
+ +
+

Illuminator documentation

+

The Illuminator is an easy-to-use Energy System Integration +Development kit to demystify energy system operation, illustrate challenges +that arise due to the energy transition and test +state-of-the-art energy management concepts. we utilise Raspberry Pis +as the individual components of the energy system emulator, +and the simulation engine is based on Mosaik.

+
+

Contents:

+ +
+ +
+

Developer's Documentation:

+ +
+
+ + +
+
+ +
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+
+ + + + \ No newline at end of file diff --git a/objects.inv b/objects.inv new file mode 100644 index 0000000..fc0526d Binary files /dev/null and b/objects.inv differ diff --git a/quick-start.html b/quick-start.html new file mode 100644 index 0000000..e6971ab --- /dev/null +++ b/quick-start.html @@ -0,0 +1,129 @@ + + + + + + + Quick Start — Illuminator 1.0.0 documentation + + + + + + + + + + + + + + + + + + + + + + + +
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+ +
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+
+
+ +
+

Quick Start

+
+

Comming soon…

+
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+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/search.html b/search.html new file mode 100644 index 0000000..0199bfe --- /dev/null +++ b/search.html @@ -0,0 +1,137 @@ + + + + + + Search — Illuminator 1.0.0 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
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  • +
  • +
+
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+ + + + +
+ +
+ +
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+ +
+

© Copyright 2024, Illuminator Team.

+
+ + Built with Sphinx using a + theme + provided by Read the Docs. + + +
+
+
+
+
+ + + + + + + + + \ No newline at end of file diff --git a/searchindex.js b/searchindex.js new file mode 100644 index 0000000..b8fc7a0 --- /dev/null +++ b/searchindex.js @@ -0,0 +1 @@ +Search.setIndex({"alltitles": {"1. Residencial Case": [[5, "residencial-case"]], "1. Using Existing Cases": [[5, "using-existing-cases"]], "2. Multi-carriers Case": [[5, "multi-carriers-case"]], "2. Using the \u2018build configuration\u2019 Script": [[5, "using-the-build-configuration-script"]], "3. Drawing Configurations": [[5, "drawing-configurations"]], "3. Electricity Trade Game": [[5, "electricity-trade-game"]], "4. CIGRE LV Case": [[5, "cigre-lv-case"]], "Battery storage": [[3, "battery-storage"]], "Configuration": [[5, "configuration"]], "Contents:": [[1, null]], "Data input": [[3, "data-input"], [3, "id6"]], "Defining Models": [[5, "defining-models"]], "Demos": [[5, "demos"]], "Developer's Documentation:": [[1, null]], "Developer\u2019s Documenation": [[0, null]], "Distribution network": [[3, "distribution-network"]], "Electric Boiler": [[3, "electric-boiler"]], "Electricity network, Hydrogen network and Heat network": [[3, "electricity-network-hydrogen-network-and-heat-network"]], "Electrolyser": [[3, "electrolyser"]], "Fuel Cell": [[3, "fuel-cell"]], "Heat Pump": [[3, "heat-pump"]], "Heat Storage": [[3, "heat-storage"]], "Hydrogen Storage": [[3, "hydrogen-storage"]], "Illuminator documentation": [[1, null]], "Load, Heat demand, Heat Product, Hydrogen product and Hydrogen demand": [[3, "load-heat-demand-heat-product-hydrogen-product-and-hydrogen-demand"]], "Model Build-Up Methodology": [[3, 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5, "user": [1, 4, 5], "wind": 3}}) \ No newline at end of file diff --git a/user/models.html b/user/models.html new file mode 100644 index 0000000..99174da --- /dev/null +++ b/user/models.html @@ -0,0 +1,496 @@ + + + + + + + Models — Illuminator 1.0.0 documentation + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Models

+
+

This resembles the API documentation. Would be better to add the explanations as docstring and +generate the documentation using autodoc +However, we should separtate explanatios from API references.

+
+
+

Battery storage

+

The battery storage parameters are all set in the python file named ‘buildmodelset.py’ in the configuration folder.

+
'max_p': the rated charging power
+'min_p': the rated discharging negative power.
+'max_energy': the battery capacity
+'soc_min': the minimum soc limitation
+'soc_max': the maximum soc limitation
+'flage': the status of the battery. # flag=1 means fully charged; flag=-1 means fully discharged; flag=0 means ready for charge and discharge
+'resolution': the time-step of simulation in minutes
+
+
+
+

Model build-up methodology

+

“output_power(self, flow2b, soc) “ is a controller method to decide whether to charge or discharge the battery. +(flow2b: The requested power flow. soc: The current state of charge. +Returns: A dictionary with updated battery parameters.) +The method for charge and discharge calculation:

+
Energy_discharge = Power_flow * Resoluation \ Efficiency_discharge
+Energy_charge = Power_flow * Resoluation * Efficiency_charge
+
+
+

Update the Soc of the battery at each time resolution.

+
+
+
+
+

Electric Boiler

+

The Electric Boiler parameters are all set in the python file named buildmodelset.py in the configuration folder.

+
'capacity': the maximum capacity of the boiler in kilowatts (kW).
+'min_load': the minimum operational load of the boiler in kilowatts (kW).
+'max_load': the maximum operational load of the boiler in kilowatts (kW).
+'standby_loss': the heat loss while the boiler is in standby mode as a fraction of the capacity.
+'efficiency': the operational efficiency of the boiler under maximum load.
+'resolution': the time-step of simulation in minutes.
+
+
+
+
+

Model Build-Up Methodology

+

The demand method is used to calculate the heat supply and electricity consumption based on the boiler’s demand.

+

Parameters: +eboiler_dem: The heat demand in watts (W). +Returns: A dictionary containing the heat supplied (q_gen), electricity consumed (e_consumed), and standby loss.

+

The operational logic for the electric boiler is as follows:

+
Power_require = (Q_Demand + Standby_loss) / Efficiency
+Q_supply = (Electricity_input - Standby_loss) * Efficiency * 1000  # in Watts
+
+
+

The heat supplied (Q_supply) and electricity consumed are calculated based on the demand, considering the boiler’s capacity, load limits, and efficiency. The calculations are adjusted to ensure the operation stays within the defined minimum and maximum load limits.

+
+
+
+
+

Electrolyser

+

The electrolyser model parameters are all set in the python file named ‘buildmodelset.py’ in the configuration folder.

+
'eff': the efficiency of the electrolyser.
+'resolution': the time-step of the simulation in minutes.
+'term_eff': the thermal efficiency of the electrolyser.
+'rated_power': the rated power input of the electrolyser.
+'ramp_rate': the maximum rate at which the power input can change.
+
+
+
+

Model Build-Up Methodology

+

The electrolyser method is used to calculate hydrogen production and energy consumption based on the input power flow.

+

Parameters: +flow2e: The power flow to the electrolyser in kW. +temperature: Optional. The temperature of the operation in degrees Celsius (default is 15°C). +pressure: Optional. The pressure of the operation in kPa (default is 100 kPa). +Returns: A dictionary containing the hydrogen generated (h2_gen), power flow (flow2e), thermal energy (q_product), and energy consumed (e_consume).

+

The operational logic for the electrolyser is as follows:

+
Desired_power = min(Rated_power, Flow2e)
+E_consume = ramp_rate_limit(Desired_power)
+Q_product = E_consume * Term_eff
+HHV = 286.6 kJ/mol
+Mole = (E_consume * Resolution * 60 kJ) / HHV * Eff
+H_mass = (2.02 grams/mole * Mole) / 1000 kg
+H_out = H_mass * 11.2 m^3/min at NTP / Resolution
+
+
+

The electrolyser model calculates the amount of hydrogen produced and the energy consumed. It accounts for the ramp rate limits and the electrolyser’s efficiency to provide realistic performance metrics.

+
+
+
+
+

Fuel Cell

+

The Fuel Cell model parameters are all set in the python file named ‘buildmodelset.py’ in the configuration folder.

+
'eff': the base efficiency of the fuel cell.
+'term_eff': the thermal efficiency of the fuel cell.
+'max_flow': the maximum hydrogen flow rate.
+'min_flow': the minimum hydrogen flow rate.
+'resolution': the time-step of the simulation in minutes.
+
+
+
+

Model Build-Up Methodology

+

The output method is used to calculate the power output and thermal energy based on hydrogen consumption.

+

Parameters:

+

h2_consume: The hydrogen consumption rate in m³/min. +temperature: Optional. The temperature of the operation in degrees Celsius (default is 25°C). +pressure: Optional. The pressure of the operation in kPa (default is 100 kPa). +Returns: A dictionary containing the fuel cell power output (fc_gen), hydrogen fuel rate (h2fuel), hydrogen consumed (h2_consume), and thermal energy (q_product).

+

The operational logic for the fuel cell is as follows:

+
H2fuel = max(Min_flow, min(Max_flow, H2_consume))
+Efficiency = efficiency(H2_consume, Temperature, Pressure)
+Energy_density = 120,000 kJ/m³  # Energy from 1 m³ hydrogen
+Out = (H2_consume * Energy_density * Efficiency) / 60 kW  # Power output
+Q_out = Out * Term_eff  # Thermal energy output
+
+
+

The fuel cell model computes the power output and thermal energy based on the hydrogen consumed. It takes into account the efficiency of the fuel cell, which can vary based on the load, temperature, and pressure. The model also ensures that the hydrogen consumption is within the specified minimum and maximum flow rates.

+
+
+
+
+

Hydrogen Storage

+

The hydrogen storage model parameters are all set in the python file named ‘buildmodelset.py’ in the configuration folder.

+
'initial_soc': the initial state of charge of the hydrogen storage.
+'h2storage_soc_min': the minimum state of charge limitation.
+'h2storage_soc_max': the maximum state of charge limitation.
+'eff': the efficiency of hydrogen storage.
+'max_h2': the maximum hydrogen flow rate.
+'min_h2': the minimum hydrogen flow rate.
+'capacity': the total capacity of the hydrogen storage.
+'resolution': the time-step of simulation in minutes.
+
+
+
+

Model Build-Up Methodology

+

The output_h2 method determines whether to charge or discharge based on the net hydrogen flow.

+

Parameters: +flow2h2s: The flow rate of hydrogen. +eleh2_in: The rate of hydrogen input from the electrolyser. +fuelh2_out: The rate of hydrogen output to the fuel cell. +soc: The current state of charge. +Returns: A dictionary with parameters indicating the operation and state of the hydrogen storage. +Overall Logic:

+
Flow2h2s_net = Flow2h2s + Eleh2_in - Fuelh2_out
+# Decide on charging or discharging based on Flow2h2s_net.
+
+
+

This model manages the state of charge of a hydrogen storage system, factoring in the efficiency, capacity, and operational limits of the storage. It also accounts for the dynamics of charging and discharging based on the system’s resolution and the net flow of hydrogen.

+

Charging Logic:

+
H2_flow = min(Max_h2, Flow2h2s_net)
+If H2_flow > 0: 
+    Calculate hydrogen discharge and capacity.
+    Update state of charge and flag accordingly.
+
+
+

Discharging Logic:

+
H2_flow = max(Min_h2, Flow2h2s_net)
+If H2_flow < 0: 
+    Calculate hydrogen discharge and capacity.
+    Update state of charge and flag accordingly.
+
+
+
+
+
+
+

Heat Pump

+

The Heat Pump model contains three models, which is original developed by Mosaik

+
    +
  1. A heat pump model, based on the TESPy library.

  2. +
  3. A hot water tank model

  4. +
  5. A controller model

  6. +
+
+
+
+

Heat Storage

+

The heat storage model parameters are all set in the python file named ‘buildmodelset.py’ in the configuration folder.

+
'soc_init': the initial state of charge based on the temperature.
+'max_temperature': the maximum temperature the storage can reach.
+'min_temperature': the minimum temperature the storage can reach.
+'insulation': the insulation quality of the storage.
+'ext_temp': the external temperature.
+'therm_cond': the thermal conductivity.
+'length': the length of the storage container.
+'diameter': the diameter of the storage container.
+'density': the density of the storage medium.
+'c': the specific heat capacity.
+'eff': the efficiency of heat storage.
+'max_q': the maximum heat flow rate.
+'min_q': the minimum heat flow rate.
+'resolution': the time-step of simulation in minutes.
+
+
+

The output_q method determines whether to charge or discharge based on the net heat flow.

+

Parameters:

+

flow2qs: The net heat flow rate. +Returns: A dictionary with parameters indicating the operation and state of the heat storage.

+

Overall Logic:

+
Calculate heat loss.
+Adjust Flow2qs based on heat loss.
+Decide on charging or discharging based on Flow2qs.
+
+
+

Charging Logic:

+
Q_flow = min(Max_q, Flow2qs)
+Calculate heat charge and internal temperature.
+Update state of charge and flag accordingly.
+
+
+

Discharging Logic:

+
Q_flow = max(Min_q, Flow2qs)
+Calculate heat discharge and internal temperature.
+Update state of charge and flag accordingly.
+
+
+
+
+
+

PV Model

+
+

Data input

+

The PV data is obtained from the Meteonorm software, and solar radiation and positioning values were obtained for the region +of Rotterdam. With the new updates, it was possible to extract 15-minute interval data from within +meteonorm. The input data and parameter setting for PV models are through the ‘.csv’ or ‘.txt’ file in the Scenario folder +and the file ‘buildmodelset.py’ in the configuration folder. The input data from ‘.csv’ or ‘.txt’ file are as follows,

+
`G_Gh'GHI global horizontal irradiance
+`G_Dh'DHI direct horizontal irradiance
+`G_Bn': DNI direct normal irradiance
+`Ta`: temperature
+`hs`: elevation of the sun
+`FF`: wind speed 
+`Az`: azimuth of the sun
+
+
+

The parameters set in the python file are shown as follows,

+
'Module_area': module area. available in the spec sheet of a PV module
+'NOCT': module temperature under the standard test conditions (STC) and stands for Nominal Operating Cell Temperature
+'Module_Efficiency'
+'Irradiance_at_NOCT': W/m2 This is the irradiance that falls on the panel under NOCT conditions
+'Power_output_at_STC': Watts. Available in the spec sheet of a module
+'m_tilt': module tilt angle
+'m_az': azimuth of the module
+'cap': capacity
+'output_type': power or energy
+
+
+
+
+

Model build up methodology

+

Calculating the irradiance on a module at a specific location is essential to calculate the output of +a PV system, and is governed by multiple factors. Irradiance is the incoming power of +solar radiation over a unit area and is measured in W/m2. Due to the rotation and revolution of the +earth, the position of the sun is not constant. Hence, the amount of irradiation received changes +continuously with the time of day, month, and year. Location on the earth also factors in for the amount of +irradiance received. Due to the changing elevation and azimuth angle of the sun throughout the day, +the incoming solar radiations are not normal to the surface. The angle between the normal surface and the solar radiation is called the Angle of Incidence (AOI), and it affects the amount of irradiance of the module surface. The equation +to calculate the AOI is shown below.

+
cos_aoi = cos(90 - m_tilt)) * cos(hs) * cos(m_az - Az) + sin(90 - m_tilt)) * sin(hs)
+
+
+

For testing the PV modules during manufacturing and calculating the output from a module over a while, some standard test conditions (STC) have been defined, according to which we have AM1.5 spectrum as standard with an irradiance of 1000 W/m2. The attenuation of solar radiation upon entering the earth is because of scattering and absorption by dust particles, +aerosols in the atmosphere, and air molecules. The presence of water vapor, oxygen, and carbon dioxide are significant +contributors to the absorption of radiation. Because of this attenuation, the incoming radiation breaks into a diffused component, +called Diffused Horizontal Irradiance (DHI) and a direct component of light, called Direct Normal Irradiance (DNI). +There is another component of the radiation that falls on the module surface, and that is the reflected component which is +because of the reflected radiations from the surface around the module. This is called Global Horizontal irradiance (GHI). +Meteorological stations measure the DHI and DNI and GHI can be calculated using the following formula where albedo ranges between 0.05 - 0.20 for urban environments, +0.05 - 0.10 for forests and 0.60 for snow. The following formulas are used to calculate the irradiance using the DHI, DNI, and GHI.

+
svf = (1 + cos(m_tilt)) / 2
+g_diff = svf * G_Dn # svf is Sky View Factor
+g_ref = albedo * (1 - self.svf) * G_Gh #albedo is the Albedo value 0.2
+g_dir = G_Bn * cos_aoi
+g_all=g_diff+g_ref+g_dir
+
+
+

Changing module temperature hurts the output of the module. Wind speed and the mounting height of the panel from the ground impact the module temperature. Blowing wind decreases the temperature due to convective heat transfer, and mounting above the ground makes enough space for heat to dissipate from the module and for its interaction with the blowing wind. +The Duffie-Beckman model covers these factors while calculating the module temperature.

+
m_temp = Ta + (g_all/ Irradiance_at_NOCT)) * (NOCT - 20) * (9.5/(5.7 + 3.8*FF))) * (1 - Module_Efficiency / 0.90))
+
+
+

The module manufacturer provides it to give an estimate of average cell temperature. Instead of individual values of T and a, for silicon-based solar cells, T ∗ a +is taken as 0.9.

+
efficiency = Module_Efficiency * (1 + (-0.0035 * (m_temp - 25)))
+P_AC=cap * sf/P_STC*m_area*g_all*efficiency*inv_eff*mppt_eff*losses
+
+
+
+
+
+
+
+

Wind Model

+
+

Data input

+

Wind data chosen is from an on-shore site situated in The Netherlands at 100m at 5 minutes intervals. +The input data and parameter setting for Wind models are through the ‘.csv’ or ‘.txt’ file in the Scenario folder +and the file ‘buildmodelset.py’ in the configuration folder. The input data from ‘.csv’ or ‘.txt’ file is the wind speed ‘u’. +The parameters set in the python file are shown as follows,

+
'p_rated': kW power it generates at rated wind speed and above
+'u_rated': m/s #windspeed it generates most power at
+'u_cutin':  m/s #below this wind speed no power generation
+'u_cutout':  m/s #above this wind speed no power generation. Blades are pitched
+'cp':  coefficient of performance of a turbine. Usually around0.40. Never more than 0.59
+'diameter': Wind turbine rotor diameter
+'powerout':  output power at wind speed u
+
+
+
+
+

Model build-up methodology

+

The Power curve of the wind turbine is shown below.

+
+ +
+
+
+
+
+

Load, Heat demand, Heat Product, Hydrogen product and Hydrogen demand

+

These models are very simple. Some of them just make a unit transfer from input to output.Some of them just read the data.

+
+
+
+

Electricity network, Hydrogen network and Heat network

+

These models are very simple like a tube.

+
+
+
+

Distribution network

+

The distribution network is build based on Pandapower +More details refer to Pandapower

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/user/start.html b/user/start.html new file mode 100644 index 0000000..c4860e0 --- /dev/null +++ b/user/start.html @@ -0,0 +1,129 @@ + + + + + + + User Documentation — Illuminator 1.0.0 documentation + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

User Documentation

+
+

Comming soon…

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/user/user-guide.html b/user/user-guide.html new file mode 100644 index 0000000..b323433 --- /dev/null +++ b/user/user-guide.html @@ -0,0 +1,391 @@ + + + + + + + User’s Guide — Illuminator 1.0.0 documentation + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

User’s Guide

+
+

Configuration

+

There are three methods to configurate the cases.

+
+

1. Using Existing Cases

+

You can use the provided config.xml and connection.xml files in the Cases/ directory. +We provide four example in Cases folder:

+
    +
  • Residential Case study(ResidentialCase)

  • +
  • Multienergy system case study(MultienergyCase)

  • +
  • Electricity market game case study (GameCase) For more information about the electricity market case study, you can reference the Msc thesis, and

  • +
  • Distribution voltage control case study (DNcontrolCase) .

  • +
+

The config.xml file is used to define the models in the case and where to +run the model. +For example in the config.xml below, we built a simulation with only Wind and PV models. +In the configuration below, the wind model runs (localy? in the master?) and the PV model runs in a client with IP ‘192.168.0.1’, and the master get the PV model’s information from the port the client’s port 5123.

+
  #'Wind' ,'python','Models.Wind.wind_mosaik:WindSim'
+  #'PV','connect', '192.168.0.1:5123'
+  
+  <?xml version='1.0' encoding='utf-8'?>
+  <data>
+    <row>
+      <index>0</index>
+      <model>Wind</model>
+      <method>python</method>
+      <location>Models.Wind.wind_mosaik:WindSim</location>
+    </row>
+    <row>
+      <index>1</index>
+      <model>PV</model>
+      <method>connect</method>
+      <location>192.168.0.1:5123</location>
+    </row>
+
+
+

The connection.xml file sets how the message are transfered from one model to others. +For example in the snippet below, the ctrl model sends information about ‘flow2e’ to electrolyser to control its hydrogen generating speed. +The electrolyser send the ‘h2_gen’ information to model h2storage ‘h2_in’ to control the hydrogen storing speed.

+
    #['ctrl', 'electrolyser', 'flow2e'],
+    #['electrolyser', 'h2storage', 'h2_gen', 'h2_in'],
+    
+    <row>
+        <index>13</index>
+        <send>ctrl</send>
+        <receive>electrolyser</receive>
+        <message>flow2e</message>
+        <more/>
+      </row>
+      <row>
+        <index>14</index>
+        <send>electrolyser</send>
+        <receive>h2storage</receive>
+        <message>h2_gen</message>
+        <more>h2_in</more>
+
+
+
+
+

2. Using the ‘build configuration’ Script

+

User can configure a case using the python scripts build_configuration_xml in the folder configuration/ directory. By executing the script, the config.xml and connection.xml +file will be automatically built. Use change the configuration by changing the parameters sim_config and connection.

+
+
+

3. Drawing Configurations

+

The Illuminator also provide visualized method to create configuration. The user can use a smart board, touch screen or mouse to configurate +the case. To to this, firstly, run drawpptx.py. +Secondly, draw a configuration by hand and save as a PowerPoint file with a .pptx file extension. For example:

+
+ +
+

Thirdly, run the script readppt_connectionxml.py to build the configuration files.

+
+
+
+

Defining Models

+

Model parameters, results presentation and real-time simulation are all set in the file buildmodelse.py.

+
    Battery_initialset = {'initial_soc': 20}
+    Battery_set = {'max_p': 500, 'min_p': -500, 'max_energy': 500,
+            'charge_efficiency': 0.9, 'discharge_efficiency': 0.9,
+            'soc_min': 10, 'soc_max': 90, 'flag': 0, 'resolution': 15}  #p in kW
+    #Set flag as 1 to show fully discharged state; -1 show fully charged,0 show ready to charge and discharge
+
+    h2storage_initial = {'initial_soc': 50}
+    ttrailers_initial = {'initial_soc': 20}
+    h2_set = {'h2storage_soc_min': 10, 'h2storage_soc_max': 90, 'max_h2': 0.3,
+              'min_h2': -0.3, 'flag': 0, 'capacity':30, 'eff': 0.94, 'resolution':resolution}
+    h2trailer_set = {'h2storage_soc_min': 10, 'h2storage_soc_max': 90, 'max_h2': 0.3,
+              'min_h2': -0.3, 'flag': 0, 'capacity':3000, 'eff': 0.94, 'resolution':resolution}
+    # max_h2 min_h2 in m^3/min;
+    # flag as 1 to show fully discharged state; -1 show fully charged,0 show ready to charge and discharge
+    # approx efficiency of compressed hydrogen storage tanks. Roundtrip efficiency
+    # Capacity is max m3 of hydrogen that it can contain
+    
+    pv_panel_set ={'Module_area': 1.26, 'NOCT': 44, 'Module_Efficiency': 0.198, 'Irradiance_at_NOCT': 800,
+              'Power_output_at_STC': 250,'peak_power':600}
+    pv_set={'m_tilt':14,'m_az':180,'cap':500,'output_type':'power'}
+    # 'NOCT':degree celsius; 'Irradiance_at_NOCT':W/m2 This is the irradiance that falls on the panel under NOCT conditions
+    # KW. Available in spec sheet of a module
+    load_set={'houses':1000, 'output_type':'power'}
+    
+    Wind_set={'p_rated':300, 'u_rated':10.3, 'u_cutin':2.8, 'u_cutout':25, 'cp':0.40, 'diameter':22, 'output_type':'power'}
+    Wind_on_set={'p_rated':300, 'u_rated':10.3, 'u_cutin':2.8, 'u_cutout':25, 'cp':0.40, 'diameter':22, 'output_type':'power'}
+    Wind_off_set={'p_rated':200, 'u_rated':7.5, 'u_cutin':2.8, 'u_cutout':15, 'cp':0.40, 'diameter':15, 'output_type':'power'}
+    #  p_rated  # kW power it generates at rated wind speed and above
+    # u_rated  # m/s #windspeed it generates most power at
+    #  u_cutin  # m/s #below this wind speed no power generation
+    # u_cutout  # m/s #above this wind speed no power generation. Blades are pitched
+    # cp  # coefficient of performance of a turbine. Usually around0.40. Never more than 0.59
+    # powerout = 0  # output power at wind speed u
+    fuelcell_set={'eff':0.45, 'term_eff': 0.2,'max_flow':100, 'min_flow':0,'resolution':resolution}
+    
+    electrolyser_set={'eff':0.60,'resolution':resolution, 'term_eff': 0.2,'rated_power':2.3,'ramp_rate':1.5}
+    # term_eff:  percentage of power transformed in effective heat
+    
+    RESULTS_SHOW_TYPE={'write2csv':True, 'dashboard_show':False, 'Finalresults_show':True,'database':False,'mqtt':False}
+    #'write2csv':True/Flause   Write the results to csv file
+    # #'Realtime_show':True/Flause, show the results in dashboard
+    # 'Finalresults_show':True/Flause, show the results after finish the simulation
+    # 'mqtt'::True/Flause, send the results outside through mqtt protocol. When this is True, you must set the receiver correctly.
+    
+    enetwork_set={'max_congestion': 1000, 'p_loss_m': 0.56, 'length': 300}
+    
+    h2network_set={'max_congestion': 700, 'V': 0.0314, 'leakage': 0.03, 'ro': 0.0899}
+    # max_congestion: max internal pressure bar
+    # leakage: % of internal flow loss
+    # ro: gas density kg/m^2 at STP
+    
+    heatnetwork_set = {'max_temperature': 300 + 275.15, 'insulation': 0.02, 'ext_temp': 25 + 275.15, 'therm_cond': 0.05,
+                    'length': 100, 'diameter': 0.3, 'density': 1000,  'c': 4.18}
+    # max_temperature : max_temperature allowed before congestion # K
+    # insulation:  insulation layer diameter #m
+    # ext_temp: external temperature # K
+    # therm_cond: thermal conductivity # W/(m·K)
+    # leght: lenght of pipeline # m
+    # diameter: pipe diameter # m
+    # density: water density # kg/m^3
+    # c : Thermal capacity of the medium #kJ/(kg·K)
+    
+    h2demand_r_set={'houses':0.5}
+    h2demand_fs_set={'tanks':1}
+    h2demand_ev_set={'cars':1}
+    h2product_set={'houses':1}
+    
+    
+    heatstorage_set = {'soc_init': 20, 'max_temperature': 300 + 275.15, 'min_temperature': 25+275.15, 'insulation': 0.20,
+                    'ext_temp': 25 + 275.15, 'therm_cond': 0.03,
+                    'length': 2.5, 'diameter': 1.5, 'density': 1000,  'c': 4.18, 'eff': 0.85, 'max_q': 300, 'min_q': -300}
+    # max_temperature : max_temperature allowed before soc max # K
+    # min_temperature : max_temperature allowed before soc min # K
+    # insulation:  insulation layer diameter #m
+    # ext_temp: external temperature # K
+    # therm_cond: thermal conductivity # W/(m·K)
+    # leght: lenght of pipeline # m
+    # diameter: pipe diameter # m
+    # density: water density # kg/m^3
+    # c: Thermal capacity of the medium #kJ/(kg·K)
+    # eff: charge/discharge efficiency
+    
+    # Seasonal storage
+    heatstorage_s_set = {'soc_init': 80, 'max_temperature': 300 + 275.15, 'min_temperature': 25+275.15, 'insulation': 0.20,
+                    'ext_temp': 25 + 275.15, 'therm_cond': 0.03,
+                    'length': 10, 'diameter': 2, 'density': 1000,  'c': 4.18, 'eff': 0.85, 'max_q': 300, 'min_q': -300}
+    # Daily storage
+    heatstorage_d_set = {'soc_init': 80, 'max_temperature': 300 + 275.15, 'min_temperature': 25+275.15, 'insulation': 0.20,
+                    'ext_temp': 25 + 275.15, 'therm_cond': 0.03,
+                    'length': 0.5, 'diameter': 1, 'density': 1000,  'c': 4.18, 'eff': 0.85, 'max_q': 300, 'min_q': -300}
+    
+    heatdemand_i_set={'factories':1}
+    heatdemand_r_set={'houses':1}
+    heatproduct_set={'utilities':1}
+    
+    hp_params = {'hp_model': 'Air_8kW',
+                 'heat_source': 'air',
+                 'cons_T': 35,
+                 'heat_source_T': 4,
+                 'T_amb': 25,
+                 'calc_mode': 'fast',
+                 'number': 15}
+    
+    eboiler_set = { 'capacity':30, 'min_load':5, 'max_load':10, 'standby_loss':0.2,
+                    'efficiency':0.8,'resolution':resolution}
+    
+    realtimefactor=0
+    #0 as soon as possible. 1/60 using 1 second simulate 1 mintes
+    
+    metrics = {'prosumer_s1_0': {'MC': [0.07, 0.10], 'MB': [0.12],'MO': [0.05, 0.25], 'MR': [0.40]},
+               'prosumer_s1_1': {'MC': [0.27], 'MB': [0.20], 'MO': [0], 'MR': [0.33]},
+               'prosumer_s1_2': {'MC': [0.33, 0.07], 'MB': [0.18], 'MO': [0.09, 0.22], 'MR': [0.15]},
+               'prosumer_s1_3': {'MC': [0], 'MB': [0.50], 'MO': [0], 'MR': [0.50]},
+               'prosumer_s1_4': {'MC': [0.10,0.37], 'MB': [0.44], 'MO': [0.01, 0.20], 'MR': [0.20]},
+               'prosumer_s1_5': {'MC': [0.12], 'MB': [0.28], 'MO': [0.17], 'MR': [0.19]},
+    }
+
+
+
+
+

Running Simulations

+
+

This was set up as a shortcut to collect data and do plotting

+
+

Run the simulation creator_**.py to create and run the simulation based on the provided case and scenario. +To see the results via the dashboard, you need Internet and sign up in wandb software. +The simple_test.py shows a simple case with the configuration inside of the file.

+
+
+

Demos

+

Four case studies show how to use Illuminator, and to verify the Illuminator’s performance.

+
+

1. Residencial Case

+

The first demo shows a residential energy community system which include Households, +PV panels, Wind generators, Battery and Hydrogen system +to achieve electric power self-sufficiency. +The controller’s algorithm in this case runs in the master RasPi Controllers/ResidentialController, and +the rest client simulators are separately deployed in different +RasPis. The data flow between the simulators (clients) is also shown in +the figure below. Based on the inputs, including the generated power +from PV and Wind, the consuming power of households, and +the state of charge (Soc) of the Battery and Hydrogen, the +controller decides the power from the Battery and Fuel cell +and the power to the Electrolyser.

+

In the case study, we use +simple logic to achieve self-sufficiency. If Battery has enough +capacity for charging or discharging to achieve power balance, +use the Battery first. If Battery doesn’t have enough capacity +to achieve power balance, then use Electrolyser or Fuel cell +to achieve power balance. All the input data are in the Scenarios/ directory and all the output data are in file Result/ResidentialCase/.

+
+ +
+
+
+

2. Multi-carriers Case

+

The second demo shows the Multi-carriers energy system, which incorporate the electricity +network, hydrogen network and heat network. All the energy assets are shown in the below figure.

+
+ +
+
+
+

3. Electricity Trade Game

+

The third demo shows the electricity trade game and more details please refer to this Msc thesis

+
+
+

4. CIGRE LV Case

+

The fourth demo shows the voltage control in the CIGRE LV voltage network. The network model is in the Models/EleDisNetworkSim/ directory, and the control method is in Controllers/NetVoltageControllerSim/

+
+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file