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A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithm
Energy Reports ( IF 5.2 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.egyr.2020.01.010
Yan Cao , Qiangfeng Wang , Zhijie Wang , Kittisak Jermsittiparsert , Mohammadreza Shafiee

Abstract One of the best ways to optimally consuming fossil fuel thermal energy is to utilize combined cooling, heating, and power (CCHP) systems. In such systems, by recycling heat wasted from hot gases simultaneously generating power, heat, and refrigeration from combustion, as well as water and cooling oil in electricity production systems, the overall system energy utilization efficiency can be increased to more than 85%. Analysis and optimization of the CCHP systems are mostly in accordance to the operating cost reduction without considering the emissions reduction and actual energy utilization. The present study proposes an energy flow for CCHP system to decrease the main power consumption based on a building thermal demand in Kerman area, Iran. The method introduced a developed version of the owl search algorithm to increase the efficiency of the CCHP system in comparison with the separation production system. Final simulations declare well efficient results for the presented method.

中文翻译:

基于开发的猫头鹰搜索算法的热电联供系统容量和运行改进的新优化配置

摘要 优化消耗化石燃料热能的最佳方法之一是利用冷热电联供 (CCHP) 系统。在此类系统中,通过回收同时发电、燃烧产生的热量和制冷的热气产生的热量,以及电力生产系统中的水和冷却油,可以将整个系统的能源利用效率提高到85%以上。冷热电联供系统的分析和优化大多是根据运行成本的降低而没有考虑减排和实际能源利用。本研究根据伊朗克尔曼地区的建筑热需求,提出了一种用于 CCHP 系统的能量流,以减少主要电力消耗。与分离生产系统相比,该方法引入了 owl 搜索算法的开发版本,以提高 CCHP 系统的效率。最终模拟声明了所提出方法的高效结果。
更新日期:2020-11-01
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