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Capacity Optimization for Electrical and Thermal Energy Storage in Multi-energy Building Energy System
被引:10
作者:
Zhu, Qianwen
[1
]
Li, Qiqiang
[1
]
Zhang, Bingying
[1
]
Wang, Luhao
[2
]
Li, Guanguan
[1
]
Wang, Rui
[1
]
机构:
[1] Shandong Univ, Sch Control Sci & Engn, 17923 Jingshi Rd, Jinan 250061, Shandong, Peoples R China
[2] Univ Jinan, Sch Elect Engn, 336 Nanxinzhuang Rd, Jinan 250022, Shandong, Peoples R China
来源:
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS
|
2019年
/
158卷
关键词:
building energy;
capacity optimization;
electrical and thermal energy storage;
bi-level optimization model;
OPTIMAL-DESIGN;
MODEL;
HEAT;
D O I:
10.1016/j.egypro.2019.01.183
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
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.
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页码:6425 / 6430
页数:6
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