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Advanced Exergy Analysis of Adiabatic Underwater Compressed Air Energy Storage System

Rapid development in the renewable energy sector require energy storage facilities. Currently, pumped storage power plants provide the most large-scale storage in the world. Another option for large-scale system storage is compressed air energy storage (CAES). This paper discusses a particular case...

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Autores principales: Szablowski, Lukasz, Morosuk, Tatiana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858203/
https://www.ncbi.nlm.nih.gov/pubmed/36673218
http://dx.doi.org/10.3390/e25010077
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author Szablowski, Lukasz
Morosuk, Tatiana
author_facet Szablowski, Lukasz
Morosuk, Tatiana
author_sort Szablowski, Lukasz
collection PubMed
description Rapid development in the renewable energy sector require energy storage facilities. Currently, pumped storage power plants provide the most large-scale storage in the world. Another option for large-scale system storage is compressed air energy storage (CAES). This paper discusses a particular case of CAES—an adiabatic underwater energy storage system based on compressed air—and its evaluation using advanced exergy analysis. The energy storage system is charged during the valleys of load and discharged at peaks. The model was built using Aspen HYSYS software. Advanced exergy analysis revealed interactions between system components and the potential for improving both system components individually and the system as a whole. The most significant reduction in exergy destruction can be achieved with heat exchangers. The round-trip efficiency of this system is 64.1% and 87.9% for real and unavoidable operation conditions, respectively.
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spelling pubmed-98582032023-01-21 Advanced Exergy Analysis of Adiabatic Underwater Compressed Air Energy Storage System Szablowski, Lukasz Morosuk, Tatiana Entropy (Basel) Article Rapid development in the renewable energy sector require energy storage facilities. Currently, pumped storage power plants provide the most large-scale storage in the world. Another option for large-scale system storage is compressed air energy storage (CAES). This paper discusses a particular case of CAES—an adiabatic underwater energy storage system based on compressed air—and its evaluation using advanced exergy analysis. The energy storage system is charged during the valleys of load and discharged at peaks. The model was built using Aspen HYSYS software. Advanced exergy analysis revealed interactions between system components and the potential for improving both system components individually and the system as a whole. The most significant reduction in exergy destruction can be achieved with heat exchangers. The round-trip efficiency of this system is 64.1% and 87.9% for real and unavoidable operation conditions, respectively. MDPI 2022-12-30 /pmc/articles/PMC9858203/ /pubmed/36673218 http://dx.doi.org/10.3390/e25010077 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Szablowski, Lukasz
Morosuk, Tatiana
Advanced Exergy Analysis of Adiabatic Underwater Compressed Air Energy Storage System
title Advanced Exergy Analysis of Adiabatic Underwater Compressed Air Energy Storage System
title_full Advanced Exergy Analysis of Adiabatic Underwater Compressed Air Energy Storage System
title_fullStr Advanced Exergy Analysis of Adiabatic Underwater Compressed Air Energy Storage System
title_full_unstemmed Advanced Exergy Analysis of Adiabatic Underwater Compressed Air Energy Storage System
title_short Advanced Exergy Analysis of Adiabatic Underwater Compressed Air Energy Storage System
title_sort advanced exergy analysis of adiabatic underwater compressed air energy storage system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858203/
https://www.ncbi.nlm.nih.gov/pubmed/36673218
http://dx.doi.org/10.3390/e25010077
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