期刊
ENERGY REPORTS
卷 6, 期 -, 页码 315-324出版社
ELSEVIER
DOI: 10.1016/j.egyr.2020.01.010
关键词
Combined cooling heating and power system; Owl search algorithm; Improved; Operation strategy; Capacity
资金
- Open Research Fund Program of Shaanxi Key Laboratory of Non-Traditional Machining [2017SXTZKFJG04]
- Shaanxi Key Research and development Plan [2017ZDXM-G-10-2]
- Project of Joint Postgraduate Training Base of Xi'an Technological University
- Research Project of Graduate Education and Teaching Reform of Xi'an Technological University in 2017
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. (C) 2020 The Authors. Published by Elsevier Ltd.
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