4E (Energy, Exergy, Economic, Environment) analysis and optimization of a multigeneration system integrating two energy storage systems for remote islands

被引:0
作者
Zhang, Yuan [1 ]
Wang, Yu [1 ]
Tian, Zhen [1 ]
Yang, Chao [1 ]
Peng, Hao [2 ]
Kan, Ankang [1 ]
Gao, Wenzhong [1 ]
Yang, Ke [3 ]
机构
[1] Shanghai Maritime Univ, Merchant Marine Coll, Shanghai 201306, Peoples R China
[2] Hainan Univ, Lab Marine Resource Utilizat South China Sea, Haikou 570228, Peoples R China
[3] Chinese Acad Sci, Inst Engn Thermophys, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
Remote island; Solar and wind energy; Carnot battery; Seawater reverse osmosis; 4E analysis; Underwater compressed CO2 energy storage system; DESIGN; POWER;
D O I
10.1016/j.applthermaleng.2025.126523
中图分类号
O414.1 [热力学];
学科分类号
摘要
Remote island areas, due to their unique geographical locations, possess abundant renewable energy resources. However, fluctuations in these resources make it essential to integrate energy storage systems to enhance energy reliability and improve the energy consumption situation for residents. Therefore, this paper presents a multi-generation system based on underwater compressed CO2 energy storage and the Carnot battery, which supplies electricity, thermal energy, and freshwater. The system includes an underwater CO2 storage subsystem, a Carnot battery subsystem, and a reverse osmosis desalination subsystem. Performance is evaluated across energy, exergy, economic, and environmental aspects, with key factors such as heat storage temperature, underwater pipeline diameter, compressor pressure ratio, and CO2 mass flow rate analyzed. Results show that increasing thermal storage temperature and pipeline diameter improves overall system efficiency, and round trip efficiency rises from 52.70% to 67.54% as temperature increases from 95 degrees C to 135 degrees C. However, a higher compressor pressure ratio and CO2 mass flow rate reduce performance. Under optimal conditions, the system achieves a round-trip efficiency of 66.46% and a levelized cost of electricity of 0.4134 $/kWh. A multi-objective optimization shows that a round-trip efficiency of 63.38% and a reduced electricity cost of 0.3874 $/kWh are achievable.
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页数:19
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