Multi-objective optimization of a combined cooling, heating and power system driven by solar energy

有机朗肯循环 热能储存 太阳能 工艺工程 集中太阳能 工程类 吸收式制冷机 制冷 传热 涡轮机 机械工程 环境科学 核工程 余热 电气工程 热力学 热交换器 物理
作者
Man Wang,Jiangfeng Wang,Pan Zhao,Yiping Dai
出处
期刊:Energy Conversion and Management [Elsevier BV]
卷期号:89: 289-297 被引量:172
标识
DOI:10.1016/j.enconman.2014.10.009
摘要

• A solar-powered CCHP system using flat-plate solar collectors is modeled. • Multi-objective optimization are conducted to obtain optimum performance. • The system performance is obtained from thermodynamic and economic aspects. This paper presented a multi-objective optimization of a combined cooling, heating and power system (CCHP) driven by solar energy. The flat-plate solar collector was employed to collect the solar radiation and to transform it into thermal energy. The thermal storage unit was installed to storage the thermal energy collected by the collectors to ensure a continuous energy supplement when solar energy was weak or insufficient. The CCHP system combined an organic Rankine cycle with an ejector refrigeration cycle to yield electricity and cold capacity to users. In order to conduct the optimization, the mathematical model of the solar-powered CCHP system was established. Owing to the limitation of the single-objective optimization, the multi-objective optimization of the system was carried out. Four key parameters, namely turbine inlet temperature, turbine inlet pressure, condensation temperature and pinch temperature difference in vapor generator, were selected as the decision variables to examine the performance of the overall system. Two objective functions, namely the average useful output and the total heat transfer area, were selected to maximize the average useful output and to minimize the total heat transfer area under the given conditions. NSGA-II (Non-dominated Sort Genetic Algorithm-II) was employed to achieve the final solutions in the multi-objective optimization of the system operating in three modes, namely power mode, combined heat and power (CHP) mode, and combined cooling and power (CCP) mode. For the power mode, the optimum average useful output and total heat transfer area were 6.40 kW and 46.16 m 2 . For the CCP mode, the optimum average useful output and total heat transfer area were 5.84 kW and 58.74 m 2 . For the CHP mode, the optimum average useful output and total heat transfer area were 8.89 kW and 38.78 m 2 . Results also indicated that the multi-objective optimization provided a more comprehensive solution set so that the optimum performance could be achieved according to different requirements for system.
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