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Thermal Characterization Based on High Time Resolution End-Use Metered Data

机译：基于高分辨率终端计量数据的热特性分析

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High time resolution electrical end-use data, along with supporting weather and characteristics information, is becoming available from several major metering projects. We have developed a general approach to characterization of residential thermal performance based on such data. Our approach provides: Estimates of total annual heating loads under standardized conditions; Estimates of the impact of wood heat, temperature control strategy, and other occupant-controlled factors on heating load; and Detailed insight into the factors that control heating requirements on a daily basis in single residences or groups of homes. We begin by deriving a non-parametric relationship between space heating requirements and inside-outside temperature difference from data aggregated to the daily level. The statistical method used is resistant to outliers. Data that is contaminated by wood heat use, or is not reflective of normal occupancy patterns are excluded prior to the fitting process. The resulting model can be used with a reference set of temperature data to derive a standardized measure of annual space heating load. Simple adjustments can be used to permit comparison of homes operated using different control strategies. Because no linear model is imposed, the method can be used for data which does not display an approximate linear relationship between heating load and temperature. 9 refs., 6 figs. (ERA citation 14:000814)

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