useofsmartmetersforenergysavings节能智能-digitaliserdk.ppt

* * * * * * * * * Green IT visit in China [ ] , * October, 2005 Bradford meeting Use of Smart Meters for Energy Savings节能智能测量仪的使用 Henrik Madsen Professor 教授 Contents内容 Smart Meters and Energy Savings智能测量仪和节能 Problem setting 问题设定 Simple tool 简单工具 Advanced tool 先进工具 Large Scale Integration of Renewable Energy in Denmark 丹麦可再生能源大规模一体化 Possibilities using Smart Meters使用智能测量仪的可能性 Estimation of UA and gA values UA和gA值的估算 Estimation of energy signature/labelling 能量标签的估算 Estimation of dynamic energy signature 动态能量标签的估算 Estimation of time constants 时间恒定的估算 Full dynamic model of the building 建筑的全动态模型 Energy Labelling of Buildings 建筑的能源标签 Today building experts make judgements of the energy performance of buildings based on drawings and prior knowledge. 今天，建筑专家根据图和先进知识来判断建筑能源的表现 This leads to Energy labelling of the building 这导致了建筑能源的标签 However, it is noticed that two independent experts can predict very different consumptions for the same house. 然而，值得关注的是两个独立的专家对相同房屋做出不同的消耗估计 Simple estimation of UA-valuesUA值的简单估计 Consider the following model (t=day No.) estimated by kernel-smoothing: 考虑以下模型（t=天） The estimated UA-value is: 估计的UA值是： Estimated UA-values估计的UA值 Model for the Energy Dynamics of Buildings 建筑能源动态模型 Physical Model Measurements: 测量 (Indoor air temperature) 室内气温 Heat supply 热量供应 Ambient air temperature 周围气温 Solar radiation 太阳辐射 Data 数据 Model A 模型A A first proposal for a model (Aw=Window Area) 模型的第一个假设（Aw=窗户区域） Model Validation (Model A)模型确认（模型A） The Final Model最后一个模型 The model found by statistical modelling of the building: 本模型是由建筑的统计模型产生 Model Validation (Final Model)模型确认（最后的模型） Conclusions – Smart Meters总结—智能测量仪 Reliable Energy Signature. 可靠的能源标签 Proposals for Energy Sav