文献类型：期刊文献

英文题名：Optimal design of a proton exchange membrane fuel cell-based combined cooling, heating, and power system by an enhanced version of farmland fertility optimizer

作者：Zhang, Huili[1];Li, Songbo[2];Jermsittiparsert, Kittisak[3,4]

通讯作者：Zhang, HL[1];Jermsittiparsert, K[2];Jermsittiparsert, K[3]

机构：[1]Baotou Vocat & Tech Coll, Sch Elect Engn, Baotou 014030, Peoples R China;[2]Inner Mongolia Univ Sci & Technol, Sch Chem & Chem Engn, Baotou, Peoples R China;[3]Ton Duc Thang Univ, Informetr Res Grp, Ho Chi Minh City, Vietnam;[4]Ton Duc Thang Univ, Fac Social Sci & Humanities, Ho Chi Minh City, Vietnam

第一机构：Baotou Vocat & Tech Coll, Sch Elect Engn, Baotou 014030, Peoples R China

通讯机构：[1]corresponding author), Baotou Vocat & Tech Coll, Sch Elect Engn, Baotou 014030, Peoples R China;[2]corresponding author), Henan Univ Econ & Law, MBA Sch, Zhengzhou, Peoples R China;[3]corresponding author), Kasetsart Univ, Polit Sci Assoc, Bangkok, Thailand.|[1048419]河南财经政法大学MBA学院;[10484]河南财经政法大学;

年份：0

外文期刊名：ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS

收录：;EI(收录号：20204309383594);Scopus(收录号：2-s2.0-85092759451);WOS:【SCI-EXPANDED(收录号:WOS:000581104300001)】；

语种：英文

外文关键词：Combined cooling; heating; power; proton Exchange Membrane Fuel Cell; enhanced Farmland Fertility Optimizer; multi-objective optimization; exergy; energy

摘要：A multiple-objective optimization method has been suggested for a combined cooling, heating, and power (CCHP) system in this study. The combined CHP system includes a heat-recovery system, a humidifier, a gas compressor, and a small size absorption chiller along with a 5-kilowatts Proton Exchange Membrane (PEM) Fuel Cell stack. An enhanced version of Farmland Fertility Optimizer has been suggested for developing the system efficiency concerning economics, environment, and thermodynamics. For system efficiency validation, it has been analyzed in terms of exergy and energy effectiveness, pollutant emission decline, and yearly expense and a comparison of the results with NSGA-II from the literature, and the basic FFO algorithm is carried out. The results show that the maximum value for the exergy efficiency and the annual GHG reduction is 48.08% and 5.45e7 g, respectively. Also, the annual cost has been decreased to 28.30e3 $. Simulation results show 35.12% energy effectiveness which is better than the compared methods.