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夏热冬冷地区居住建筑人员用能行为模型研究

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居民用能行为对于住宅实际用能负荷及其变化有重要影响,夏热冬冷地区居民一般采用部分空间、部分时间的室内环境调控模式,调控行为的不确定性给准确预测住宅用能特征带来困难.本研究以长沙地区为例,基于调研的实际用能行为数据开展聚类分析,将居民用能行为归为时间型、热感觉型、混合型和冬季不开空调型4类,总结其典型特征,并构建空调动作行为典型概率模型;继而将模拟结果与调研和实测的住宅采暖制冷能耗进行对比,以及将基于实测数据计算所得的行为概率与行为模型进行拟合分析,以验证用能行为模型的可靠性;最后讨论了用能行为模型及其构建方法的适用性.本研究将为该地区建筑节能政策和标准的预评估、节能技术的适宜性分析与预测以及基于需求侧调整的柔性用能体系的构建提供较为可靠的模拟基础,为同气候区的行为模型研究提供参考和借鉴.
Study on Models for Occupant Energy-using Behavior of Residential Buildings in Hot Summer Cold Winter Regions
Residents'energy use behavior has a major impact on the actual residential energy load and its changes.Residents in Hot Summer and Cold Winter Climate Zones generally adopt a part-space,part-time indoor environment regulation mode,and the uncertainty of the regulation behavior makes it difficult to accurately predict the characteristics of residential energy use.The study,with Changsha as an example,conducted cluster analysis based on research questionnaires and actual energy use data,classified occupant behavior into four categories:time-type,heat sensation-type,mixed-type,and no air-conditioning-type in winter.Their typical characteristics were summarized to build a typical probabilistic model of air-conditioning action behavior.The simulation results were compared with the residential heating and cooling energy consumption data from the study and the actual measurements,and the behavioral probability and behavioral model were fitted based on the actual measurements of the model to verify the reliability of the occupant behavior model.The applicability of the occupant behavior model and its construction method were further discussed.This study would provide a more reliable simulation basis for the pre-assessment of building energy-saving policies and standards,the analysis and prediction of the appropriateness of energy-saving technologies,and the construction of a flexible energy-use system based on demand-side adjustments in the region,and provide a reference for behavioral modeling study in the same climatic region.

occupant behaviorprobabilistic behavioral modelhot summer cold winter regionenergy consumption simulation

向俊米、刘宏成、李晓俊

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湖南大学建筑与规划学院,长沙 410082

丘陵地区城乡人居环境科学湖南省重点实验室,长沙 410082

居民用能行为 行为概率模型 夏热冬冷地区 能耗模拟

国家重点研发计划湖南省自然科学基金湖南省研究生科研创新项目资助

2017YFC0702904-032022JJ30140QL20210109

2024

建筑科学
中国建筑科学研究院

建筑科学

CSTPCD北大核心
影响因子:1.113
ISSN:1002-8528
年,卷(期):2024.40(8)