Quantifying method for buildings' demand response potential applied to market access condition determination

doi:10.3969/j.issn.2097-0706.2025.03.002

Abstract

Abstract:

Buildings are important potential resources for electricity demand response （DR）.But the features of the power grid including lack of demand response data， diversity of physical structures and building envelopes， and complexity of consumption behaviors and meteorological conditions make it difficult to accurately and quickly calculate the DR potential of buildings，hindering the development of the DR market. Most traditional potential quantification methods are applicable to a single building. They can hardly support the judgement on the market access conditions of diverse potential users， or select the qualified target users with a review on the reliability of the declared information. To solve the problems above， a data-driven method based on the quantification of buildings' DR potential is proposed. Firstly， the input and output variables are set by considering the factors influencing the building DR potential and the requirements for the declared information. Then， the tool chain called EnergyPlus-JEPlus-Eppy is used to generate a complete dataset， improving the model generalization. Finally， a data-driven modelling approach is used to develop a potential quantification model to achieve rapid quantification of DR potential. The effectiveness of the method is verified by a typical office building in Nanjing by choosing global temperature regulation as the peak-shaving means. The results of the case show that the proposed model can keep the mean squared error （MSE） of the predicted potential within 0.009 6 with a coefficient of determination（R²） higher than 0.9. The method enables accurate quantification on DR potential for different buildings in various scenarios.

Key words: demand response, electricity market, potential quantification, data-driven, flexibility load, "dual carbon" goal

CLC Number:

TK018

DI Liang, DONG Jie, YAN Xinyue, ZHEN Cheng, TIAN Zhe, NIU Jide. Quantifying method for buildings' demand response potential applied to market access condition determination[J]. Integrated Intelligent Energy, 2025, 47(3): 15-22.

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地区	单次响应能力/kW			最低响应时长/h
地区	直接参与工业	直接参与非工业	负荷聚合商	最低响应时长/h
浙江^[17]			≥1 000	0.5
山东^[7]	≥1 000	≥ 400
天津^[18]	≥500	≥100	≥1 000	0.5
贵州^[19]	≥100		≥1 000	1.0
云南^[20]	≥1 000	≥1 000	≥2 500

输入变量		取值范围
物理结构	宽度/m	25~100
	长宽比	1~2
	高度/m	15~100
围护结构	窗墙比	0.2~0.8
	围护结构总传热系数/[W·(m²·K)^-1]	3~35
	外墙蓄热系数/[W·(m²·K)^-1]	5~15
	屋面蓄热系数/[W·(m²·K)^-1]	5~15
用能行为	人员密度/（m²·人^-1)	7~13（整数）
	照明密度/（W·m^-2)	6.3~11.7
	设备密度/（W·m^-2)	10.5~19.5
	内扰水平	高，低
需求响应	温度上调大小/℃	1.0,1.5,2.0
	开始时间	12：00 —15：00
	持续时间/h	1,2