Economic assessment for compressed air energy storage business model alternatives

Bibliographic Details
Main Author: Matos, Catarina R.
Publication Date: 2023
Other Authors: Pereira, Patrícia da Silva, Carneiro, Júlio F.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10316/103458
https://doi.org/10.1016/j.apenergy.2022.120273
Summary: Compressed air energy storage (CAES) is a large-scale energy storage system with long-term capacity for utility applications. This study evaluates different business models’ economic feasibility of CAES pre-selected reservoir case studies. It assesses several scenarios for each case study and analyzes two business models: one for the storage of excess renewable energy sources (RES) and another for energy arbitrage. The novelty of this work is performing the economic investment assessment using a Monte Carlo Simulation (MCS) methodology applied to CAES, considering the uncertainties associated with such types of projects and evaluating different business models for the technology. The results suggest a better performance from the CAES RES business model than the CAES arbitrage business model. Furthermore, the diabatic CAES assessed scenarios seem to have more attractive results than their equivalent adiabatic CAES systems in the CAES RES business model. However, adiabatic CAES can be economically feasible in both business models. In addition, it was observed that CAES is viable in specific scenarios and can be profitable for the storage of energy from RES, facilitating the management of their variability, decreasing their dependence on weather, and helping their integration into the grid. However, CAES does not seem a good fit for grid energy arbitrage in the generality of the scenarios evaluated.
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spelling Economic assessment for compressed air energy storage business model alternativesCompressed air energy storageEconomic analysisBusiness modelsMonte Carlo simulationCompressed air energy storage (CAES) is a large-scale energy storage system with long-term capacity for utility applications. This study evaluates different business models’ economic feasibility of CAES pre-selected reservoir case studies. It assesses several scenarios for each case study and analyzes two business models: one for the storage of excess renewable energy sources (RES) and another for energy arbitrage. The novelty of this work is performing the economic investment assessment using a Monte Carlo Simulation (MCS) methodology applied to CAES, considering the uncertainties associated with such types of projects and evaluating different business models for the technology. The results suggest a better performance from the CAES RES business model than the CAES arbitrage business model. Furthermore, the diabatic CAES assessed scenarios seem to have more attractive results than their equivalent adiabatic CAES systems in the CAES RES business model. However, adiabatic CAES can be economically feasible in both business models. In addition, it was observed that CAES is viable in specific scenarios and can be profitable for the storage of energy from RES, facilitating the management of their variability, decreasing their dependence on weather, and helping their integration into the grid. However, CAES does not seem a good fit for grid energy arbitrage in the generality of the scenarios evaluated.E111-E588-9345 | Patrícia Pereira da Silvainfo:eu-repo/semantics/publishedVersionElsevier2023-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://hdl.handle.net/10316/103458https://hdl.handle.net/10316/103458https://doi.org/10.1016/j.apenergy.2022.120273eng0306-2619cv-prod-3076428https://www.sciencedirect.com/science/article/pii/S0306261922015306Matos, Catarina R.Pereira, Patrícia da SilvaCarneiro, Júlio F.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2022-12-07T09:00:16Zoai:estudogeral.uc.pt:10316/103458Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:53:21.829149Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Economic assessment for compressed air energy storage business model alternatives
title Economic assessment for compressed air energy storage business model alternatives
spellingShingle Economic assessment for compressed air energy storage business model alternatives
Matos, Catarina R.
Compressed air energy storage
Economic analysis
Business models
Monte Carlo simulation
title_short Economic assessment for compressed air energy storage business model alternatives
title_full Economic assessment for compressed air energy storage business model alternatives
title_fullStr Economic assessment for compressed air energy storage business model alternatives
title_full_unstemmed Economic assessment for compressed air energy storage business model alternatives
title_sort Economic assessment for compressed air energy storage business model alternatives
author Matos, Catarina R.
author_facet Matos, Catarina R.
Pereira, Patrícia da Silva
Carneiro, Júlio F.
author_role author
author2 Pereira, Patrícia da Silva
Carneiro, Júlio F.
author2_role author
author
dc.contributor.author.fl_str_mv Matos, Catarina R.
Pereira, Patrícia da Silva
Carneiro, Júlio F.
dc.subject.por.fl_str_mv Compressed air energy storage
Economic analysis
Business models
Monte Carlo simulation
topic Compressed air energy storage
Economic analysis
Business models
Monte Carlo simulation
description Compressed air energy storage (CAES) is a large-scale energy storage system with long-term capacity for utility applications. This study evaluates different business models’ economic feasibility of CAES pre-selected reservoir case studies. It assesses several scenarios for each case study and analyzes two business models: one for the storage of excess renewable energy sources (RES) and another for energy arbitrage. The novelty of this work is performing the economic investment assessment using a Monte Carlo Simulation (MCS) methodology applied to CAES, considering the uncertainties associated with such types of projects and evaluating different business models for the technology. The results suggest a better performance from the CAES RES business model than the CAES arbitrage business model. Furthermore, the diabatic CAES assessed scenarios seem to have more attractive results than their equivalent adiabatic CAES systems in the CAES RES business model. However, adiabatic CAES can be economically feasible in both business models. In addition, it was observed that CAES is viable in specific scenarios and can be profitable for the storage of energy from RES, facilitating the management of their variability, decreasing their dependence on weather, and helping their integration into the grid. However, CAES does not seem a good fit for grid energy arbitrage in the generality of the scenarios evaluated.
publishDate 2023
dc.date.none.fl_str_mv 2023-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10316/103458
https://hdl.handle.net/10316/103458
https://doi.org/10.1016/j.apenergy.2022.120273
url https://hdl.handle.net/10316/103458
https://doi.org/10.1016/j.apenergy.2022.120273
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0306-2619
cv-prod-3076428
https://www.sciencedirect.com/science/article/pii/S0306261922015306
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eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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