Exergy analysis and particle swarm optimization of clean energy router based on a solar‐thermal‐assisted advanced adiabatic compressed air energy storage system
نویسندگان
چکیده
The clean Energy router based on advanced adiabatic compressed air energy storage (AA-CAES) has the characteristics of large capacity, high efficiency and zero carbon emission which are an effective mitigation scheme for integration renewables peak-shaving a new technology storing in world. A novel solar-thermal-assisted AA-CAES (ST-AA-CAES) is proposed this paper, integrating variable thermal to improve system electric (E2E) round-trip (RTE). exergy evaluation ST-AA-CAES carried out determine performance ST-AA -CAES. results illustrate that E2E, RTE, can reach 56.4%, 95.5%, 55.9%, respectively. Meanwhile, details destruction each subsystem demonstrated. Particle swarm optimization algorithm applied analyse economy optimally integrated systems advantages accuracy, convenient implementation fast convergence. be abundant solar resources area with multi-energy supply capability.
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ژورنال
عنوان ژورنال: Iet Renewable Power Generation
سال: 2023
ISSN: ['1752-1424', '1752-1416']
DOI: https://doi.org/10.1049/rpg2.12758