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Cost-availability curves for hierarchical implementation of residential energy-efficiency measures

机译：分层实施住宅节能措施的成本－收益曲线

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摘要

Historical residential electricity data and natural gas consumption data were collected for, respectively, 1,200 and 178 residences in a small town in the USA. These data were merged with local building and weather databases, and energy consumption models were developed for each residence, revealing substantial variation in heating and cooling intensity. After estimating approximate physical building characteristics, energy profiles for each residence were calculated, and savings from adoption of the most cost-effective energy-efficiency measures for each residence were estimated. Effectively, we wish to leverage commonly available data sets to infer characteristics of building envelopes and equipment, without the need for detailed on-site audits. This study evaluates the potential energy savings for the residences studied and, by extrapolation, for the entire town, as a function of cost if the savings measures were to be implemented in rank-order of cost effectiveness to show that savings penetration for the community comes with nonlinearly increasing cost. The results show that nearly a 32 % collective savings in HVAC energy use could be achieved with a collective levelized cost for energy-saving measures of $10/mmBTU saved if the most cost-effective measures among the entire community are implemented first.
机译：分别收集了美国一个小镇中1200个和178个住宅的历史居民用电数据和天然气消耗数据。这些数据与当地建筑和天气数据库合并，并为每个住宅开发了能耗模型，揭示了供暖和制冷强度的巨大差异。在估算出大致的物理建筑特征后，计算出每个住宅的能源分布，并估算出采用每个住宅的最具成本效益的能效措施所节省的成本。实际上，我们希望利用通用的数据集来推断建筑物围护结构和设备的特征，而无需进行详细的现场审核。这项研究评估了所研究的住宅和整个城镇的潜在节能量，如果要按成本效益的排名顺序实施节能措施，以显示整个社区的节能潜力，则可以推断出整个城镇作为成本的函数非线性增加成本。结果表明，如果首先实施整个社区中最具成本效益的措施，则将节能措施的集体平均成本节省为10美元/ mmBTU，即可实现HVAC能源使用的集体节省近32％。

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