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An empirically grounded model for simulating normative energy use feedback interventions

机译:基于经验的模型,用于模拟规范的能源使用反馈干预

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Researchers have begun developing simulation models as a cost-effective and expeditious means to explore and enhance our understanding of energy use behavior interventions. These models have provided unique insights into potential energy savings as a result of improved occupant behavior, but have not yet reached the capability to be used for predictive modeling purposes. Therefore, this paper attempts to build on previous modeling efforts and develops an empirically and conceptually grounded occupant behavior model for simulating normative feedback interventions based on literature from the social science and field data. This model is then used to conduct "what if" analyses testing three novel normative feedback intervention strategies and the effect of social network structure on intervention outcomes. The most successful and immediately applicable strategy consists of sending normative feedback only to individuals who use more energy than the group norm. This strategy resulted in a mean energy use reduction of 1.4 kW h per week per occupant, 2.2%, relative to traditional individual and normative feedback strategies used today. Lastly, it was found that the social network structure in which the interventions took place affected the absolute outcomes (i.e., net change) of the simulations but not the relative outcomes (i.e., strategy ranking). (C) 2016 Elsevier Ltd. All rights reserved.
机译:研究人员已开始开发仿真模型,作为一种经济高效的手段,以探索和增强我们对能源使用行为干预措施的理解。这些模型为改善乘员行为提供了潜在节能方面的独特见解,但尚未达到可用于预测建模目的的能力。因此,本文试图以先前的建模工作为基础,并开发基于经验和概念的乘员行为模型,以基于来自社会科学和现场数据的文献来模拟规范性反馈干预措施。然后,该模型用于进行“假设”分析,以测试三种新颖的规范反馈干预策略以及社交网络结构对干预结果的影响。最成功,最直接适用的策略是仅向使用能量高于小组规范的个人发送规范反馈。与当今使用的传统个人和规范反馈策略相比,此策略导致每位乘员每周平均减少1.4 kWh能源,即2.2%。最后,发现进行干预的社交网络结构影响模拟的绝对结果(即净变化),而不影响相对结果(即策略排名)。 (C)2016 Elsevier Ltd.保留所有权利。

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