Multi-objective optimization of multi-energy heating systems based on solar, natural gas, and air- energy

作     者：Guo, Fuqiang Li, Yan Xu, Zheng Qin, Jinghan Long, Liming 

作者机构：Ocean Univ China Mech Engn Coll Engn Qingdao 266100 Peoples R China Qingdao Energy Design & Res Inst Co Ltd Qingdao 266071 Peoples R China 

出 版 物：《SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS》 (可持续能源技术和评估)

年 卷 期：2021年第47卷

页      面：101394-101394页

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：Natural Science Foundation of Shandong Province [ZR2019ZD11, ZR2020ME186] Qingdao demon-stration and guidance project of benefiting people through science and technology [20-3-4-9-nsh] 

主　　题：Multi-objective optimization Multi-energy complementary Intelligent optimization algorithm Cluster analysis Transient numerical simulation 

摘      要：This study focuses on multi-objective optimization of multi-energy heating systems. By evaluating the heating load of the project, a mathematical model combining solar energy, natural gas, and air-energy is established to determine the comprehensive index that includes economic, environmental, and energy indicators. The heating load and the ratio of energy to temperature control are analyzed to optimize the design and operation of the project. Three types of algorithms are evaluated to solve the proposed model, and the chemical reaction optimization algorithm is chosen because of its stability and efficiency. The multi-energy heating systems is optimized via transient simulation using TRNSYS, and the energy consumption of the optimized system is 2.57% less than that of a conventional system. Moreover, the economic cost and CO2 emissions of the optimized system are reduced by 13.94% and 20.67%, respectively, compared with those of the conventional system.