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Modeling the Effect of Occupants' Behavior on Household Carbon Emissions

机译:建模居住者行为对家庭碳排放的影响

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Occupant behavior has proven significant impact on building performance. The research on carbon emissions has therefore recommended the integration of the technical and behavioral disciplines in order to accurately predict buildings' carbon emissions. Although various models have been developed that consider the actions of occupants based on quantitative data, few efforts link the impact of occupant behavior to selected energy strategies while also considering the economic, technological, and environmental impacts. This research developed a dynamic model to simulate the interaction of occupant behavior with various energy-efficiency scenarios to reduce carbon emissions. The model will help test the effectiveness of certain energy-efficiency scenarios before implementation. This paper illustrates the structure and the application of the proposed model. The model results show that behavioral change can contribute enormously to carbon emissions reduction even without the installation of more-energy-efficient improvements.
机译:占用行为已经证明对建筑绩效的重大影响。因此,碳排放研究建议准确地预测建筑物排放的技术和行为学科的整合。虽然已经开发了各种模型,但考虑占用者的行动,少量努力将乘员行为的影响与所选能源策略联系起来,同时考虑到经济,技术和环境影响。本研究开发了一种动态模型,以模拟乘员行为与各种能源效率方案的相互作用,以减少碳排放。该模型将有助于在实施之前测试某些能源效率方案的有效性。本文说明了所提出的模型的结构和应用。模型结果表明,即使在没有安装更节能的改进的情况下,行为变化也可能导致碳排放量大贡献。

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