基于分段线性回归的风机盘管空调系统需求响应量化研究  

Quantification Study on the Demand Response of Fan-coil Air-conditioning Systems Based on the Piecewise Linear Regression Model

作　　者：宋佳明 彭晋卿 曹静宇 殷荣欣 李思慧 邰潆莹 SONG Jiaming;PENG Jinqing;CAO Jingyu;YIN Rongxin;LI Sihui;TAI Yingying(College of Civil Engineering,Hunan University,Changsha 410082,China;Key Laboratory of Building Safety and Energy Efficiency of Ministry of Education,Hunan University,Changsha 410082,China)

机构地区：[1]湖南大学土木工程学院,长沙410082 [2]建筑安全与节能教育部重点实验室,长沙410082

出　　处：《建筑科学》2023年第6期159-169,共11页Building Science

基　　金：国家自然科学基金项目(52278104,52208105);湖南省科技创新计划资助(2020RC5003);住房和城乡建设部2020年科学技术项目计划(2020-K-165);湖南创新型省份建设专项(2020RC4045);湖南省自然科学基金资助项目(2022JJ40057);中央高校基本科研业务费专项资金(531118010653);重庆市自然科学基金项目(CSTB2022NSCQ-MSX1215)。

摘　　要：建筑参与电网需求响应调度是缓解电网峰值时段供给不足的有效途径,然而对于广泛应用于国内商业建筑的风机盘管空调系统,却尚未有可应用于实际工程的需求响应负荷削减密度快速评估方法,且单体建筑在不同室外环境参数、不同室内负荷工况下的动态需求响应性能也有待量化分析。因此,本文采用敏感性分析方法筛选出对建筑负荷削减具有重要影响的关键气象参数,同时建立关键气象参数与负荷削减密度的分段线性回归模型,并将其作为代理模型以简化动态需求响应数据库的构建。研究发现,在内部负荷变化系数为0.40~1.05的工况下,采用干球温度和相对湿度分段线性回归模型可实现在相对误差8%以内的负荷削减密度准确预测,而且具有适用性强、计算速度快等优势。本文可为单体建筑的动态需求响应量化及精确控制提供决策支持,为建筑群参与动态需求响应的负荷削减密度快速估算及量化奠定理论基础。Building demand response(DR)is an effective way to alleviate the supply shortage in peak periods of power grid.However,for fan-coil air conditioning systems widely used in commercial buildings in China,there is no rapid assessment method of demand shedding intensity that can be applied to engineering practice.The quantification of dynamic DR of the single building under different outdoor environmental and different indoor load conditions also needs to be quantitatively analyzed.Therefore,sensitivity analysis methods were used to screen out the key meteorological parameters with major impacts on the building demand shedding,and a piecewise-linear regression model between the key meteorological parameters and the demand shedding intensity was established.The model was used as a proxy model to simplify the establishment of a dynamic DR database.Results show that the piecewise-linear regression model of dry bulb temperature and relative humidity can accurately quantify the demand shedding intensity with a maximum relative error of 8%under the condition of an internal load variation coefficient of 0.40~1.05,and has the advantages of strong applicability and high calculation speed.This paper can provide decision support for the quantification and accurate control of the dynamic DR of buildings,and lay a theoretical foundation for the rapid estimation and quantification of demand shedding intensity of building complexes DR.

关 键 词：需求响应 空调 风机盘管 敏感性分析 分段线性回归 

分 类 号：TU831[建筑科学—供热、供燃气、通风及空调工程]