标题:Capacity Optimization for Electrical and Thermal Energy Storage in Multi-energy Building Energy System
作者:Zhu, Qianwen; Li, Qiqiang; Zhang, Bingying; Wang, Luhao; Li, Guanguan; Wang, Rui
通讯作者:Li, Qiqiang;Li, QQ
作者机构:[Zhu, Qianwen; Li, Qiqiang; Zhang, Bingying; Li, Guanguan; Wang, Rui] Shandong Univ, Sch Control Sci & Engn, 17923 Jingshi Rd, Jinan 250061, Shandong, 更多
会议名称:10th International Conference on Applied Energy (ICAE)
会议日期:AUG 22-25, 2018
来源:INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS
出版年:2019
卷:158
页码:6425-6430
DOI:10.1016/j.egypro.2019.01.183
关键词:building energy; capacity optimization; electrical and thermal energy; storage; bi-level optimization model
摘要:In a multi-energy building energy system, the key to improve the energy efficiency and economy is coordinating the capacity configuration and operation scheduling of both electrical and thermal energy storage. Considering the electricity storage characteristics of electricity feedback arbitrage and degradation, as well as part load rate and ON/OFF time constraints for the combined operation of thermal energy storage and ground source heat pump, this paper presents a bi-level optimization method, including upper capacity optimization and lower operation optimization. The simulation results show that, compared to the system without energy storage, the proposed method significantly reduces total annualized cost, shifts large amounts of peak load and increases renewable energy self-consumption rate. (C) 2019 The Authors. Published by Elsevier Ltd.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063905274&doi=10.1016%2fj.egypro.2019.01.183&partnerID=40&md5=392a232dc2b80bf3bc3d71f4426b646c
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