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Dynamic operating characteristics of a compressed CO2 energy storage system
Institute for Advanced Technology, Shandong University, Jinan, 250061, China.
PowerChina HuaDong Engineering Corporation Limited, Hangzhou, 311122, China.
Tianjin Key Laboratory of Refrigeration Technology, Tianjin University of Commerce, Tianjin, 300134, China.
Institute for Advanced Technology, Shandong University, Jinan, 250061, China.
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2023 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 341, article id 120985Article in journal (Refereed) Published
Abstract [en]

For the first time, the study investigated the dynamic performances of a compressed CO2 energy storage (CCES) system based on a dynamic model, which was validated using experimental data. The dynamic round-trip efficiency (RTE) of a scaled-up CCES system in two typical operation modes was studied, including Mode 1: the basic operation mode, where the inlet pressure of the compressor or the expander is not controlled, and Mode 2: the controlled operation mode, where the capacity for compression or expansion is regulated to remain constant. Dynamic RTE varies in the range 16.7%-56.7% in various operation modes. A new key performance indicator, utilization of tank (UOT), was defined to reflect how much working gas is used in a charging or a discharging process. In general, high charging and high discharging capacities lead to low UOTs and low RTEs. Moreover, the comparison between the dynamic model and its equivalent steady-state model showed a significant difference in system performances. The RTE of the steady-state model reaches 68.5%, which is much higher than the corresponding dynamic RTE of 55.3%. © 2023

Place, publisher, year, edition, pages
Elsevier Ltd , 2023. Vol. 341, article id 120985
Keywords [en]
Compressed CO2 energy storage, Dynamic model, Experiment, Round-trip efficiency, Utilization of tank
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-62487DOI: 10.1016/j.apenergy.2023.120985ISI: 000989683200001Scopus ID: 2-s2.0-85154057791OAI: oai:DiVA.org:mdh-62487DiVA, id: diva2:1756130
Available from: 2023-05-10 Created: 2023-05-10 Last updated: 2023-06-14Bibliographically approved

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Li, Hailong

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