Optimizing The Energy Efficiency of a Building in Turin (+IoT)
- Modeling of a dummy house. Output: IDF file. SW: Design Builder;
- IDF file parameters optimization to reduce the building power consumption regarding cooling, heating and electricity. Optimized parameters: insulation, glazing, WWR, and orientation. SW: Besos/EnergyPlus (Python);
- 3-years simulation of power consumption (for cooling and heating), electricity, inside and ouside temperatures. SW: Besos/EnergyPlus (Python);
- Upload of the simulated data into a local database (InfluxDB);
- Connection of a local platform (Grafana) with the local database (InfluxDB), and creation of a dashboard in Grafana to visualize the data;
- InfluxDB data retrieval in SQL-like language, and energy signature characterization. Language: Python;
- Forecasting of total power consumption (cooling power+heating power) with Arima model. Language: Python.
Design Building Software (Student Edition); Python; InfluxDB; Grafana
