Journal article
Predicting water consumption from energy data: Modeling the residential energy and water nexus in the integrated urban metabolism analysis tool (IUMAT)
Energy and buildings, v 158, pp 1683-1693
01 Jan 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
•Residential energy use data can be used as a proxy for water consumption.•Water heater characteristics are critical in calculating energy and water use.•Renewable water heater industry needs more federal and utility incentive programs.
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.
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Details
- Title
- Predicting water consumption from energy data: Modeling the residential energy and water nexus in the integrated urban metabolism analysis tool (IUMAT)
- Creators
- Nariman Mostafavi - Drexel UniversityFernanda Gándara - University of Massachusetts AmherstSimi Hoque - Drexel University
- Publication Details
- Energy and buildings, v 158, pp 1683-1693
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000428010300063
- Scopus ID
- 2-s2.0-85037540849
- Other Identifier
- 991019167424304721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Construction & Building Technology
- Energy & Fuels
- Engineering, Civil