TY - GEN
T1 - Modeling Building Energy Demand for Distributed Renewable Energy System Planning
AU - Liu, Jinhui
AU - Zhao, Yanling
AU - Xu, Zhanbo
AU - Wu, Jiang
AU - Liu, Kun
AU - Guan, Xiaohong
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Due to the mismatch between the time-varying energy demand profiles and intermittent and fluctuating renewable energy supply, the excessive redundancy or severely deficiency planning results of the distributed renewable energy system typically emerge. This study develops a parameter-based model for the demand of electricity, space heating or cooling, and hot water in buildings. The impact of the energy demand profiles on the results of the planning problem is investigated based on a typical distributed renewable energy system. The numerical results demonstrate that there are significant differences between the energy demand profiles of different categories of public buildings in terms of demand level, variability, and volatility. Furthermore, the annualized capital and operating costs for the distributed renewable energy system significantly vary depending on the demand patterns and characteristics, sometimes by an order of magnitude, highlighting the significance of the demand profiles for the planning problem.
AB - Due to the mismatch between the time-varying energy demand profiles and intermittent and fluctuating renewable energy supply, the excessive redundancy or severely deficiency planning results of the distributed renewable energy system typically emerge. This study develops a parameter-based model for the demand of electricity, space heating or cooling, and hot water in buildings. The impact of the energy demand profiles on the results of the planning problem is investigated based on a typical distributed renewable energy system. The numerical results demonstrate that there are significant differences between the energy demand profiles of different categories of public buildings in terms of demand level, variability, and volatility. Furthermore, the annualized capital and operating costs for the distributed renewable energy system significantly vary depending on the demand patterns and characteristics, sometimes by an order of magnitude, highlighting the significance of the demand profiles for the planning problem.
KW - building energy demand
KW - demand patterns
KW - distributed energy system
KW - planning
KW - renewable energy system
UR - https://www.scopus.com/pages/publications/85153332004
U2 - 10.1109/SPIES55999.2022.10082627
DO - 10.1109/SPIES55999.2022.10082627
M3 - 会议稿件
AN - SCOPUS:85153332004
T3 - 2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022
SP - 2040
EP - 2045
BT - 2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022
Y2 - 9 December 2022 through 12 December 2022
ER -
