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Use of Smart Meters for Energy Savings 节能智能测量仪的使用

Henrik Madsen Professor 教授. Use of Smart Meters for Energy Savings 节能智能测量仪的使用. 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.

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Use of Smart Meters for Energy Savings 节能智能测量仪的使用

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  1. Henrik Madsen Professor 教授 Use of Smart Meters for Energy Savings节能智能测量仪的使用

  2. 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

  3. 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

  4. 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

  5. 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：

  6. Estimated UA-values估计的UA值

  7. Model for the Energy Dynamics of Buildings 建筑能源动态模型 • 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 Physical Model

  8. Data数据

  9. 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）

  10. Model Validation (Model A)模型确认（模型A）

  11. The model found by statistical modelling of the building: 本模型是由建筑的统计模型产生 The Final Model最后一个模型

  12. Model Validation (Final Model)模型确认（最后的模型）

  13. Conclusions – Smart Meters总结—智能测量仪 • Reliable Energy Signature. • 可靠的能源标签 • Proposals for Energy Saving: • 节能的提议 • Replace the windows? • 重置窗户 • Put more insulation on the roof? • 加大屋顶隔热材料的使用 • Is the house too untight? • ...... • Will be implemented in ‘My House‘将被作为“我的家”的补充 • Optimized Control最适当的控制 • Optimized use of Solar and Wind Power.最适当的太阳能和风能的使用

  14. Integration of Renewable Energy可再生能源一体化 In Denmark wind power counts for about 22 pct of the total power. 在丹麦，风能占了所有能量的22% We have tools for: 我们的工具 Wind power forecasting 风能预报 Solar power forecasting 太阳能预报 Optimal planing 最佳规划 First 8 weeks of 2007 2007年的最初8个星期 Total power and wind power:总能量和风能

  15. Wind Power Prediction Tool风能预报工具

  16. Conclusions总结 Smart Meters can provide 智能测量仪能提供 Energy signatures / labels of buildings 建筑的能源标签 Time constants for optimal control 时间恒定的最佳控制 Advanced knowledge about potentials for energy savings 潜在节能的先进知识 Denmark has a leading position in integrating renewable energy in the power system 丹麦在能源系统中可再生能源的一体化方面具有一定地位 A number of IT-tools are established to facilitate this integration 建立许多IT工具来辅助一体化

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