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A comprehensive techno-economic assessment of a novel compressed air energy storage (CAES) integrated with geothermal and solar energy

机译:对地热能集成的新型压缩空气储能(CAES)的全面技术经济评估

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摘要

Increasing the renewable energy share in most of the energy sectors is proven to be a vital option for most countries. Geothermal and solar energy have recently gained utmost attraction as green alternatives to replace fossil fuels. To take the most advantage of the renewable sources regarding their stochastic behavior, energy storage systems are employed for peak shaving and load leveling in power generation units. In this research, a novel configuration of a compressed air energy storage (CAES) integrated with Organic Rankin Cycle (ORC) which utilizes geothermal and solar energy as a green thermal source is designed, analyses and investigated. Energy, exergy, and exergoeconomic analyses are used as potential tools to observe and assess the performance of the designed system. To achieve a better understating of the effect of design parameters on the system performance, a parametric analysis is conducted. CAES inlet pressure and ORC operating pressure are chosen as decision variables to perform the multi-objective optimization using a genetic algorithm. Results show that the solar collector unit with a share of 47% is responsible for the highest exergy destruction rate in the system. Employing the proposed system at the design condition can produce 1314 kWh power for peak shaving and 0.3 kg/s hot water with 35.41% and 31.17% overall energy and exergy efficiency respectively. Besides, applying multi-objective optimization shows that at the optimum condition, the exergy efficiency and total cost rate of the system are 29% and 18 $/h, respectively.
机译:在大多数能源部门中增加可再生能源份额被证明是大多数国家的重要选择。地热和太阳能最近获得了最大的吸引力作为替代化石燃料的绿色替代品。为了充分利用可再生能源关于其随机行为的可再生能源,能量存储系统用于发电单元中的峰值剃刮和载荷调平。在本研究中,设计了与有机Rankin循环(ORC)集成的压缩空气能量存储(CAES)的新颖配置,其利用地热和太阳能作为绿色热源,分析和研究。能量,漏洞和exergo经济分析用作观察和评估设计系统性能的潜在工具。为了更好地低估设计参数对系统性能的影响,进行参数分析。选择Caes入口压力和兽人操作压力作为判定变量,使用遗传算法进行多目标优化。结果表明,占47%份额的太阳能收集器单元负责系统中最高的漏洞破坏率。在设计条件下采用所提出的系统可以生产1314千瓦的功率,用于峰值剃刮和0.3公斤/秒的热水,分别具有35.41%和31.17%的总能量和高级效率。此外,应用多目标优化表明,在最佳条件下,系统的高效率和总成本率分别为29%和18美元/小时。

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