为解决传统耦合太阳能辅热的先进绝热压缩空气储能（AA-CAES+CSP）系统热能损失大的问题,提出其释能过程的改进方案。从热力学和经济学角度对改进前后的系统性能进行比较分析。结果表明,改进系统的热、冷能性能系数及年利润率显著提高。同时,进行参数敏感性分析,结果表明：集热温度升高,改进系统的冷能性能系数下降,两系统其他指标上升;储气室压差越大,系统年利润率越高,而其他指标越低;压缩/膨胀功率增大,年利润率减小,而其他指标增大。此外,以循环效率和年利润率为目标函数,采用灰狼算法对系统进行多目标优化,设置较高集热温度、压缩/膨胀功率和较低储气室压比时,更易获得最佳系统性能。
Abstract
In order to solve the problem of large thermal energy loss in the conventional advanced adiabatic compressed air energy storage concentrating solar power （AA-CAES+CSP） system coupled with solar auxiliary heat, the energy release process of the system is modified. From the perspective of thermodynamics and economics, a comparatively analysis of the performances of conventional and modified system is conducted. The results show that the coefficient of performance of heating and cooling, annual profit margins of the modified system are significantly improved. Meanwhile, the parameter sensitivity analysis is carried out. The results indicate that, as the collector temperature rises. The coefficient of performance of cooling the improved system decreases, and other indexes of the two systems rise; the greater the pressure difference in the gas storage chamber, the higher annual profit margin of the system, and the lower other indexes. As the compression/expansion power increases, the annual profit margin decreases, while other indexes increase. Moreover, the cycle efficiency and annual profit margin are selected as the objective function, and the gray wolf algorithm is applied to implement the multi-objective optimization. It is easier to obtain the best system performance when higher heat collection temperature, compression/expansion power and lower gas storage pressure ratio are set.
关键词
AA-CAES+CSP /
比较性分析 /
敏感性分析 /
多目标优化
Key words
AA-CAES+CSP /
comparatively analysis /
sensitivity analysis /
multi-objective optimization
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基金
河北省自然科学基金（E2018502059）
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