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Predicting water consumption from energy data: Modeling the residential energy and water nexus in the integrated urban metabolism analysis tool (IUMAT)

机译：根据能源数据预测用水量：在综合城市新陈代谢分析工具（IUMAT）中对住宅能源和水关系建模

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This paper describes a method for residential water use modeling predicated on metered energy data. Actual measured hot water volumes for major indoor consumption are used to verify and adjust the outputs in gallons of hot water consumption based on climate variables, water heater technical features, and set-point and intake temperatures. Three independent datasets for residential energy (RECS 2009), water heater efficiency (Air-conditioning, Heating and Refrigeration Institute-AHRI), and end-use domestic water (Residential End Uses of Water, Version 2-REU II) are applied to identify specific demographic, built environment and geographic factors that relate patterns of energy demand to water consumption. The proposed model acts within the broader Integrated Urban Metabolism Analysis Tool (IUMAT), a system-based analytical framework for evaluating the environmental performance of the built environment. The method described in this paper offers an alternative approach to residential water consumption modeling by implementing volume of hot water consumption as a proxy for indoor water use. It provides utilities with the potential to parse and prioritize energy and water conservation measures. (C) 2017 Elsevier B.V. All rights reserved.
机译：本文介绍了一种基于计量能源数据的住宅用水模型的方法。实际测量的主要室内消耗热水量用于根据气候变量，热水器技术特征以及设定点和进水温度来验证和调整以加仑热水为单位的输出。应用了三个独立的住宅能源数据集（RECS 2009），热水器效率（空调，暖气和制冷学会-AHRI）和最终用途生活用水（住宅最终用途水，版本2-REU II）进行识别特定的人口统计，建筑环境和地理因素，这些因素将能源需求的模式与用水量相关联。该模型在更广泛的城市综合代谢分析工具（IUMAT）中起作用，IUMAT是一种基于系统的分析框架，用于评估建筑环境的环境绩效。本文描述的方法通过实现热水消耗量作为室内用水的替代方法，为住宅用水量建模提供了另一种方法。它为公用事业提供了分析和优先考虑节能和节水措施的潜力。 （C）2017 Elsevier B.V.保留所有权利。

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