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Building Thermal Network Model and Application to Temperature Regulation

机译:构建热网络模型及其在温度调节中的应用

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Residential and commercial facilities account for over 40% of energy consumption in the US. Our work shows how fine grain modeling and sensing of this consumption can lead to substantial savings. We construct a thermal network model of a building with the temperatures of the various rooms as states; with the room thermal capacitances and thermal resistances between the rooms as parameters; the external or ambient temperatures as uncontrolled input and heating and cooling loads as control inputs. We show the effects on energy consumption of the random opening and closing of doors or windows. We show that active management of room temperature set points saves up to 20% of energy costs. We also demonstrate the substantial savings-up to 30%-through strategies of keeping certain doors and windows closed.
机译:住宅和商业设施占美国能源消耗量的40%以上。我们的工作表明,谷物建模和传感如何储蓄可能导致大幅度储蓄。我们构建了一个建筑物的热网络模型,以及各种房间的温度;房间之间的房间热电容和热电阻作为参数;外部或环境温度作为不受控制的输入和加热和冷却负载作为控制输入。我们展示了对门或窗户随机开口和关闭的能耗的影响。我们表明,室温设定点的主动管理可节省高达能源成本的20%。我们还展示了高达30%的策略,以保持某些门和窗户关闭。

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