add >18 energy storage techologies

Snakefile

@@ -15,6 +15,7 @@ rule compile_cost_assumptions:
         dea_heating = "inputs/technologydatafor_heating_installations_marts_2018.xlsx",
         dea_industrial = "inputs/technology_data_for_industrial_process_heat.xlsx",
         dea_ccts = "inputs/technology_data_for_carbon_capture_transport_storage.xlsx",
+        parzen_energy_storage = "inputs/parzen-energy-storage-database.xlsx",
         manual_input = "inputs/manual_input.csv"
     output:
         expand("outputs/costs_{year}.csv", year = config["years"])

config.yaml

@@ -20,9 +20,12 @@ solar_rooftop_from_etip : false
 # add fuel cell/electrolysis efficiencies from Budischak (DEA assumptions very conservative)
 h2_from_budischak : false
 
+# add storage data from Parzen
+parzen_energy_storage: true
+
 # remove grid connection costs from DEA for offwind because they are calculated
 # seperately in pypsa-eur
-offwind_no_gridcosts : true
+offwind_no_gridcosts : false
 
 desalination:
     salinity: 35 # in PSU (Practical Salinity Unit) = kg/m^3

docs/release_notes.rst

@@ -18,6 +18,7 @@ Technology-Data 0.5.0 (08 Februrary 2023)
   - new biomass technologies (BioSNG, BtL, biogas, biogas plus hydrogen, digestible biomass,digestible biomass to hydrogen, electric boiler steam, gas boiler steam, industrial heat pump high temperature, solid biomass boiler steam, solid bioass to hydrogen, biomass boiler for decentral heating
   - hydrogen storage tank type 1: Low pressure hydrogen tank storage (up to 200 bar)
   - hydrogen storage compressor: Compressor for filling hydrogen storage tanks (compression from 30 to 250 bar)
+  - 18 new energy storage technologies from PNNL "Energy Storage Grand Challenge Cost and Performance Assessment 2022"
 
 * Changed technologies
   - Renamed "hydrogen storage tank incl. compressor" to "hydrogen storage tank type 1 including compressor" for more clarity on the technology and consistency

environment.yaml

@@ -11,7 +11,9 @@ dependencies:
   - beautifulsoup4
   - xlrd
   - openpyxl
+  - scipy
   - packaging
 
   - pip:
     - tabula-py
+    - currencyconverter

latex_tables/bib_transition.bib

@@ -1,3 +1,26 @@
+@techreport{Viswanathan_2022,
+	title = {2022 Grid Energy Storage Technology Cost and Performance Assessment},
+	url = {https://www.pnnl.gov/sites/default/files/media/file/ESGC%20Cost%20Performance%20Report%202022%20PNNL-33283.pdf},
+	urldate = {2022-12-27},
+	author = {Viswanathan, Vilayanur and Mongird, Kendall and Franks, Ryan and Li, Xiaolin and Sprenkle, Vincent and Baxter, Richard},
+	year = {2022},
+	institution = {PNNL},
+}
+
+@article{Georgiou_2018,
+	title = {A thermo-economic analysis and comparison of pumped-thermal and liquid-air electricity storage systems},
+	journal = {Applied Energy},
+	volume = {226},
+	pages = {1119-1133},
+	year = {2018},
+	issn = {0306-2619},
+	doi = {https://doi.org/10.1016/j.apenergy.2018.04.128},
+	url = {https://www.sciencedirect.com/science/article/pii/S0306261918306627},
+	author = {Solomos Georgiou and Nilay Shah and Christos N. Markides},
+	keywords = {Electricity storage, Liquid-air energy storage, Pumped-thermal electricity storage, Thermo-economic analysis},
+	abstract = {Efficient and affordable electricity storage systems have a significant potential to support the growth and increasing penetration of intermittent renewable-energy generation into the grid from an energy system planning and management perspective, while differences in the demand and price of peak and off-peak electricity can make its storage of economic interest. Technical (e.g., roundtrip efficiency, energy and power capacity) as well as economic (e.g., capital, operating and maintenance costs) indicators are anticipated to have a significant combined impact on the competitiveness of any electricity storage technology or system under consideration and, ultimately, will crucially determine their uptake and implementation. In this paper, we present thermo-economic models of two recently proposed medium- to large-scale electricity storage systems, namely ‘Pumped-Thermal Electricity Storage’ (PTES) and ‘Liquid-Air Energy Storage’ (LAES), focusing on system efficiency and costs. The LAES thermodynamic model is validated against data from an operational pilot plant in the UK; no such equivalent PTES plant exists, although one is currently under construction. As common with most newly proposed technologies, the absence of cost data results to the economic analysis and comparison being a significant challenge. Therefore, a costing effort for the two electricity storage systems that includes multiple costing approaches based on the module costing technique is presented, with the overriding aim of conducting a preliminary economic feasibility assessment and comparison of the two systems. Based on the results, it appears that PTES has the potential to achieve higher roundtrip efficiencies, although this remains to be demonstrated. LAES performance is found to be significantly enhanced through the integration and utilisation of waste heat (and cold) streams. In terms of economics on the other hand, and at the system size intended for commercial application, LAES (12 MW, 50MWh) is estimated in this work to have a lower capital cost and a lower levelised cost of storage than PTES (2 MW, 11.5 MWh), although it is noted that the prediction of the economic proposition of PTES technology is particularly uncertain if customised components are employed. However, when considering the required sell-to-buy price ratios, PTES appears (by a small margin) economically more competitive above an electricity buy price of ∼0.15 $/kWh, primarily due to its higher roundtrip efficiency. When considering the two systems at the same capacity, the costs are similar with a slight edge to PTES. Finally, it is of interest that the most expensive components in both systems are the compression and expansion devices, which suggests that there is a need to develop affordable high-performance devices for such systems.}
+}
+
 @techreport{govUK,
 	title = {Hydrogen supply chain: evidence base, {Department} for {Business}, {Energy} \& {Industrial} {Strategy}, {GovUK}},
 	url = {https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/760479/H2_supply_chain_evidence_-_publication_version.pdf},