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A Study on the Impact of Household Occupantsa?? Behavior on Energy Consumption Using an Integrated Computer Model

机译:家庭住户的影响研究a?使用集成计算机模型的能耗行为

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In this paper, several models are integrated into a thermal model to study the impact of occupantsa?? behaviors on the building energy consumption. An air flow model is developed to simulate ventilation related to the occupanta??s patterns of window opening and closing. An electric consumption model is developed to simulate the usage pattern and the electricity input to household electric appliances. The thermostat setpoint temperature and window shading schemes are varied with different occupantsa?? behavior norms and are included in the model. The simulation was applied to a typical household located in the city of Oshawa in Ontario, Canada. The results show that the window opening has the greatest impact on the energy consumption during the heating season, and the shading scheme has the greatest impact on the A/C energy consumption during the cooling season. The electricity consumption of the A/C can be significantly reduced by appropriately applying the shading and opening schemes and resetting the thermostat setpoint temperature to a slightly higher degree. Keeping the windows closed and allowing the solar radiation to be transmitted through the window in winter help reduce the energy usage to heat the house.
机译:在本文中,将几种模型集成到热模型中,以研究乘员的影响。行为对建筑能耗的影响。开发了一个气流模型来模拟与窗户开闭模式有关的通风。开发了电耗模型来模拟使用模式和向家用电器输入的电。恒温器设定点温度和窗户遮光方案随不同的乘员而变化。行为规范,并包含在模型中。该模拟应用于位于加拿大安大略省奥沙瓦市的典型家庭。结果表明,开窗对采暖季节能耗的影响最大,遮阳方案对降温季节空调能耗的影响最大。通过适当地应用阴影和打开方案并将恒温器设定点温度重置为稍高的程度,可以大大降低A / C的电力消耗。保持窗户关闭并在冬季允许太阳辐射通过窗户传播,有助于减少房屋供暖的能源消​​耗。

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