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Performance optimization for a novel combined cooling, heating and power-organic Rankine cycle system with improved following electric load strategy based on different objectives

机译:基于不同目标的电负荷策略改进的新型冷却,加热和电力有机朗肯循环系统的性能优化

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摘要

In this paper, a novel combined cooling, heating and power-organic Rankine cycle system is proposed. The purpose of the system is to enrich the approach of energy cascade utilization by using different grades of waste heat flexibly. In addition, an improved following electric load strategy for the system is introduced, which could control the prime mover and organic Rankine cycle to share electric demand. To explore the optimization potential of the system under the new strategy, several configuration parameters and operation parameters are synergistically optimized by using enumeration method. Herein, the optimization variables are rated capacity of prime mover, exhaust smoke temperature, exhaust smoke distribution coefficient and cooling load distribution coefficient. The optimization objectives are annual total cost saving, primary energy consumption saving, carbon dioxide emission reduction and comprehensive benefit. The results indicate that the optimal values of above objectives are 38.11%, 21.05%, 47.61% and 35.38%, respectively. Moreover, the variable characteristics, the system performance indexes and the energy dispatch for different objectives are compared and analyzed. To enhance the system flexibility, the variables are further optimized according to the load characteristics of different seasons by using genetic algorithm. The results show that the optimal values of above objectives are further increased by 4.8%, 10.7%, 3.7% and 5.9% respectively. The change of exhaust smoke temperature is conducive to improve the heat utilization efficiency in winter. These findings could promote the sustainable development of the integrated system.
机译:本文提出了一种新的组合冷却,加热和动力 - 有机朗肯循环系统。该系统的目的是通过使用不同等级的废热灵活地丰富能量级联利用的方法。此外,还引入了系统的改进后的电负载策略,可以控制主要动力和有机朗肯循环以共享电气需求。要在新策略下探讨系统的优化潜力,通过使用枚举方法协同优化多个配置参数和操作参数。这里,优化变量是主要动器的额定容量,排气烟雾温度,排气烟雾分布系数和冷却载荷分布系数。优化目标是年度总成本节约,初级能耗节省,二氧化碳排放减少和综合效益。结果表明,上述目标的最佳值分别为38.11%,21.05%,47.61%和35.38%。此外,比较和分析了不同目标的可变特征,系统性能指标和能量调度。为了提高系统灵活性,通过使用遗传算法根据不同季节的负载特性进一步优化变量。结果表明,上述目标的最佳价值进一步增加了4.8%,10.7%,3.7%和5.9%。排气温度的变化有利于冬季提高热利用效率。这些调查结果可以促进综合体系的可持续发展。

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