This paper presents a method to acquire runtime distribution ratio of building air conditioning system under part load condition (part load coefficient of system) through practical energy consumption data. By utilizin...This paper presents a method to acquire runtime distribution ratio of building air conditioning system under part load condition (part load coefficient of system) through practical energy consumption data. By utilizing monthly energy consumption data of the entire year as the analysis object,this paper identifies data distribution,verifies distribution characteristics and analyzes distribution probability density for the issue of running time distribution ratio of air conditioning system in part load zones in the whole operation period,thus providing a basic calculation basis for an overall analysis of energy efficiency of air conditioning system. In view of the general survey of public building energy consumption carried by the government of Chongqing,this paper takes the governmental office building as an example,the part load ratio coefficient corresponding to practical running of air conditioning system of governmental office building in Chongqing is obtained by utilizing the above probability analysis and the solving method of probability density function. By utilizing the ratio coefficient obtained using this method,the part load coefficient with any running ratio of air conditioning system can be obtained according to the requirement of analysis,which can be used in any load ratio for analyzing running energy efficiency of air conditioning system.展开更多
需求侧调峰资源是新型电力系统调峰资源的重要组成部分。然而,受用户行为不确定性和设备状态异常等内外因素影响,部分负荷往往无法可靠响应。针对工业园区需求侧资源在实际调峰中响应可靠性低的问题,提出了一种兼顾负荷响应可靠性与聚...需求侧调峰资源是新型电力系统调峰资源的重要组成部分。然而,受用户行为不确定性和设备状态异常等内外因素影响,部分负荷往往无法可靠响应。针对工业园区需求侧资源在实际调峰中响应可靠性低的问题,提出了一种兼顾负荷响应可靠性与聚合商调度经济性的需求侧精准调峰策略。首先,建立直控中央空调负荷与工业负荷的调控模型,结合多样化特性负荷,分析影响其响应可靠性的相关因素。然后,定义负荷响应可靠性指数来定量刻画内外因素对负荷响应可靠性的影响程度,与负荷调控成本共同作为负荷聚合商决策变量,通过迭代算法求解需求侧调峰响应优化方案。最后,基于美国Open Energy Data Initiative(OEDI)数据集内的中央空调负荷数据与中国湖北省某工业园区负荷数据,以经济激励为唯一手段,将所提精准调峰策略与仅考虑经济性的调峰策略进行对比仿真,并以负荷聚合商调度总成本、实际响应率作为评价指标进行分析,验证了所提策略的有效性。展开更多
针对空调为二次泵变流量系统时,考虑分区域供冷工况下,采用多目标回归方式解决负荷预测问题将有利于提高负荷预测准确性的情况,提出了两种多目标回归的中央空调负荷预测模型,即多目标支持向量回归(support vector regression,SVR)负荷...针对空调为二次泵变流量系统时,考虑分区域供冷工况下,采用多目标回归方式解决负荷预测问题将有利于提高负荷预测准确性的情况,提出了两种多目标回归的中央空调负荷预测模型,即多目标支持向量回归(support vector regression,SVR)负荷预测模型和多目标长短期记忆(long short term memory,LSTM)神经网络负荷预测模型,利用上海市某医院的二次泵变流量系统数据对两个模型进行训练和预测,并与单目标回归预测模型进行比较.研究结果表明:相较单目标回归预测模型,两种多目标预测模型的预测精度更高;多目标SVR负荷预测模型较多目标LSTM负荷预测模型的预测准确性更高.展开更多
基金Project(50838009) supported by the National Natural Science Foundation of ChinaProjects(2006BAJ02A09,2006BAJ02A13-4) supported by the National Key Technologies R & D Program of ChinaProject(CSTC,2008AB7110) supported by the Key Technologies R & D Programme of Chongqing,China
文摘This paper presents a method to acquire runtime distribution ratio of building air conditioning system under part load condition (part load coefficient of system) through practical energy consumption data. By utilizing monthly energy consumption data of the entire year as the analysis object,this paper identifies data distribution,verifies distribution characteristics and analyzes distribution probability density for the issue of running time distribution ratio of air conditioning system in part load zones in the whole operation period,thus providing a basic calculation basis for an overall analysis of energy efficiency of air conditioning system. In view of the general survey of public building energy consumption carried by the government of Chongqing,this paper takes the governmental office building as an example,the part load ratio coefficient corresponding to practical running of air conditioning system of governmental office building in Chongqing is obtained by utilizing the above probability analysis and the solving method of probability density function. By utilizing the ratio coefficient obtained using this method,the part load coefficient with any running ratio of air conditioning system can be obtained according to the requirement of analysis,which can be used in any load ratio for analyzing running energy efficiency of air conditioning system.
文摘需求侧调峰资源是新型电力系统调峰资源的重要组成部分。然而,受用户行为不确定性和设备状态异常等内外因素影响,部分负荷往往无法可靠响应。针对工业园区需求侧资源在实际调峰中响应可靠性低的问题,提出了一种兼顾负荷响应可靠性与聚合商调度经济性的需求侧精准调峰策略。首先,建立直控中央空调负荷与工业负荷的调控模型,结合多样化特性负荷,分析影响其响应可靠性的相关因素。然后,定义负荷响应可靠性指数来定量刻画内外因素对负荷响应可靠性的影响程度,与负荷调控成本共同作为负荷聚合商决策变量,通过迭代算法求解需求侧调峰响应优化方案。最后,基于美国Open Energy Data Initiative(OEDI)数据集内的中央空调负荷数据与中国湖北省某工业园区负荷数据,以经济激励为唯一手段,将所提精准调峰策略与仅考虑经济性的调峰策略进行对比仿真,并以负荷聚合商调度总成本、实际响应率作为评价指标进行分析,验证了所提策略的有效性。
文摘针对空调为二次泵变流量系统时,考虑分区域供冷工况下,采用多目标回归方式解决负荷预测问题将有利于提高负荷预测准确性的情况,提出了两种多目标回归的中央空调负荷预测模型,即多目标支持向量回归(support vector regression,SVR)负荷预测模型和多目标长短期记忆(long short term memory,LSTM)神经网络负荷预测模型,利用上海市某医院的二次泵变流量系统数据对两个模型进行训练和预测,并与单目标回归预测模型进行比较.研究结果表明:相较单目标回归预测模型,两种多目标预测模型的预测精度更高;多目标SVR负荷预测模型较多目标LSTM负荷预测模型的预测准确性更高.
