文献类型：期刊文献

英文题名：Optimal emission management of photovoltaic and wind generation based energy hub system using compromise programming

作者：Miao, Pei[1];Yue, Zhaojuan[2];Niu, Tong[3];Alizadeh, As'ad[4];Jermsittiparsert, Kittisak[5,6]

第一作者：Miao, Pei

通讯作者：Niu, T[1];Jermsittiparsert, K[2]

机构：[1]China Univ Min & Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China;[2]Chinese Acad Sci, Ctr Comp Network Informat, Beijing 100190, Peoples R China;[3]Zhengzhou Univ, Ctr Energy Environm & Econ Res, Zhengzhou 450001, Peoples R China;[4]Univ Zakho, Coll Engn, Dept Mech Engn, Zakho, Iraq;[5]Henan Univ Econ & Law, MBA Sch, Zhengzhou, Peoples R China;[6]Kasetsart Univ, Polit Sci Assoc, Bangkok, Thailand

第一机构：China Univ Min & Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China

通讯机构：[1]corresponding author), Zhengzhou Univ, Ctr Energy Environm & Econ Res, Zhengzhou 450001, Peoples R China;[2]corresponding author), Henan Univ Econ & Law, MBA Sch, Zhengzhou, Peoples R China.|[1048419]河南财经政法大学MBA学院;[10484]河南财经政法大学;

年份：2021

卷号：281

外文期刊名：JOURNAL OF CLEANER PRODUCTION

收录：;EI(收录号：20204309402680);Scopus(收录号：2-s2.0-85093691236);WOS:【SCI-EXPANDED(收录号:WOS:000609019300004)】；

语种：英文

外文关键词：Heating hub and power hub; Multi-objective model; Max-min fuzzy technique; Compromise programming; CO2 emission management

摘要：The pollution of fossil fuels uses and low efficiency performance of energy systems are the main issues which threaten the environment and cause extra cost. Many solutions are presented and the one which is performed in this study is using energy hub which is composed of several parts. Sub energy hub and combined cooling, heating and power combining with the renewable energies such as wind turbine and photovoltaic are the component parts of this novel energy hub. The optimum flow of energy plus using energy storage devices brings coordination and reliability to the system. The model proposed is multi-objective and the goal is to investigate the effects of accomplishment real-time based demand response program in reducing operation cost and CO2 emission. The mathematical methods like compromise programming and fuzzy approach are implemented to gain the Pareto solutions and obtain trade-off between economic and environmental performances. Two cases which are investigated in this paper are without and with demand response program. The linear model with mixed-integer programming is implemented in general algebraic modeling system to solve the proposed model. The comparison results illustrate that the operation cost and CO2 emission is decreased 4.05% and 1.52% respectively due to demand response program. (C) 2020 Published by Elsevier Ltd.