volume 277 pages 116656

Sizing-design method for compressed air energy storage (CAES) systems: A case study based on power grid in Ontario

Publication typeJournal Article
Publication date2023-02-01
scimago Q1
wos Q1
SJR2.659
CiteScore19.8
Impact factor10.9
ISSN01968904, 18792227
Energy Engineering and Power Technology
Fuel Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Abstract
Correctly sizing a compressed energy storage (CAES) system by considering external power grid requirements, component limitations, and operation restrictions is essential to successfully enhancing a CAES system’s usability and effectiveness. A new method, referred to as the coverage-percentage method, is developed and applied to Ontario as a case study, to size a CAES system based on its percentage ability to capture excess energy and deliver energy during a shortage. The coverage-percentage method builds upon and improves upon the frequency-of-occurrence method proposed by Rouindej et al. (2019) by adding time dependent operation considerations (cavern pressure and temperature), and component limitations (compressor, expander, and cavern sizes). These additional considerations improve both sizing accuracy and usability understanding. One major advantage of the coverage-percentage method is that it rectifies the overestimation of the frequency-of-occurrence method with regards to the percentage of excess energy that can be stored, and stored energy that can be delivered, for a given sized expander, compressor, and cavern. For example, it is observed that a cavern size of 950 MWh for Ontario can capture and deliver 85% of excess energy, while the coverage-percentage method results reveal that a cavern of 950 MWh can actually only cover 48% of Ontario’s charging potential. These significantly differing results between the frequency-of-occurrence method and the coverage-percentage method because of the interplay of expander, compressor, and cavern sizes not considered in the frequency-of-occurrence method, but most critically because cavern damaging pressure and temperature limits are not considered in the frequency-of-occurrence method. By applying the coverage-percentage method to 2018 to 2020 Ontario electrical grid data, and to a salt cavern with pressure limits between 5 MPa and 14 MPa, it is revealed that compressors sized between 30 MW to 70 MW, expanders sized between 40 MW to 90 MW, and cavern energy capacities between 630 MWh and 770 MWh would be sufficient to capture at least 42% and 26% of charging and discharging opportunities, respectively.
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Sarmast S. et al. Sizing-design method for compressed air energy storage (CAES) systems: A case study based on power grid in Ontario // Energy Conversion and Management. 2023. Vol. 277. p. 116656.
GOST all authors (up to 50) Copy
Sarmast S., Rouindej K., Fraser R. A., Dusseault M. Sizing-design method for compressed air energy storage (CAES) systems: A case study based on power grid in Ontario // Energy Conversion and Management. 2023. Vol. 277. p. 116656.
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RIS Copy
TY - JOUR
DO - 10.1016/j.enconman.2023.116656
UR - https://doi.org/10.1016/j.enconman.2023.116656
TI - Sizing-design method for compressed air energy storage (CAES) systems: A case study based on power grid in Ontario
T2 - Energy Conversion and Management
AU - Sarmast, Sepideh
AU - Rouindej, Kamyar
AU - Fraser, Roydon A.
AU - Dusseault, Maurice
PY - 2023
DA - 2023/02/01
PB - Elsevier
SP - 116656
VL - 277
SN - 0196-8904
SN - 1879-2227
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Sarmast,
author = {Sepideh Sarmast and Kamyar Rouindej and Roydon A. Fraser and Maurice Dusseault},
title = {Sizing-design method for compressed air energy storage (CAES) systems: A case study based on power grid in Ontario},
journal = {Energy Conversion and Management},
year = {2023},
volume = {277},
publisher = {Elsevier},
month = {feb},
url = {https://doi.org/10.1016/j.enconman.2023.116656},
pages = {116656},
doi = {10.1016/j.enconman.2023.116656}
}