Assessment of household water use efficiency using performance indices

Abstract This paper presents a novel methodology for evaluating the efficiency of indoor household water use based on performance assessment functions that convert state variables (e.g., flow rate, volume) into performance indices, considering efficient flow rates or volumes of the most common water use devices. Performance indices are dimensionless and range from 0 (the lowest performance) to 300 (excellent performance). An overall household water use index is calculated from the individual water use device indices by weighting each device in accordance with the water end use consumption breakdown. The application of this methodology to 43 households enabled the quantification of potential water savings and the identification of device-specific measures to increase the water use efficiency. In addition, a clustering analysis of performance indices and households’ characteristics provided evidence of the existence of relationships between household water use efficiency and socio-demographic variables. The outcomes of this study and the application of the proposed efficiency indices allow demand managers to better tailor urban water conservation strategies to most water use devices and to groups of consumers with specific socio-demographic characteristics.

[1]  D. Covas,et al.  Efficiency assessment of household water use , 2018, Urban Water Journal.

[2]  Afreen Siddiqi,et al.  Quantifying End-Use Energy Intensity of the Urban Water Cycle , 2013 .

[3]  Rodney Anthony Stewart,et al.  SEQ RESIDENTIAL END USE STUDY , 2011 .

[4]  P. Vieira,et al.  Assessment of Water use Efficiency in the Household Using Cluster Analysis , 2015 .

[5]  Steven G. Buchberger,et al.  Estimating Water Demands in Buildings , 2014 .

[6]  Kriengsak Panuwatwanich,et al.  Quantifying the influence of environmental and water conservation attitudes on household end use water consumption. , 2011, Journal of environmental management.

[7]  Rodney Anthony Stewart,et al.  Smart meter enabled disaggregation of urban peak water demand: precursor to effective urban water planning , 2013 .

[8]  Dídia Covas,et al.  Novel Performance Assessment Indices for Domestic Water Use , 2015 .

[9]  Dexter V. L. Hunt,et al.  Socio-Technological Influences on Future Water Demands , 2014 .

[10]  João Varajão,et al.  An exploratory study on the influence of socio-demographic characteristics on water end uses inside buildings. , 2014, The Science of the total environment.

[11]  C. Matos,et al.  Domestic water uses: characterization of daily cycles in the north region of Portugal. , 2013, The Science of the total environment.

[12]  Rodney Anthony Stewart,et al.  Gold Coast Domestic Water End Use Study , 2009 .

[13]  P. Vieira,et al.  Household water use: a Portuguese field study , 2007 .

[14]  Berrin Tansel,et al.  Influence of residential water use efficiency measures on household water demand: A four year longitudinal study , 2011 .

[15]  Enrique Cabrera,et al.  Low-flow devices in Spain: how efficient are they in fact? An accurate way of calculation , 2004 .

[16]  Rodney Anthony Stewart,et al.  End use water consumption in households: impact of socio-demographic factors and efficient devices , 2013 .

[17]  Ana Castillo-Martinez,et al.  A New System for Households in Spain to Evaluate and Reduce Their Water Consumption , 2014 .

[18]  Jacinta Burke Water Efficiency Labelling and Standards (WELS) Scheme , 2009 .

[19]  Rodney Anthony Stewart,et al.  Quantifying the influence of residential water appliance efficiency on average day diurnal demand patterns at an end use level: A precursor to optimised water service infrastructure planning , 2012 .

[20]  Christopher D. F. Rogers,et al.  A Benchmarking System for Domestic Water Use , 2014 .