Energy intensity of treating drinking water: Understanding the influence of factors

To provide safe drinking water to urban populations, raw water must be treated in drinking water treatment plants, which are energy-intensive facilities. Previous studies have assessed energy intensity (EI: unit of energy required per unit of treated water) of conventional drinking water treatment plants, but they ignored variations related to water treatment trains. By modeling 179 facilities of four water treatment trains, we explored factors potentially affecting energy intensity, such as removal efficiencies of pollutants and treatment capacities of drinking water treatment plants. We also investigated the economies of scale in energy intensity of drinking water treatment plants. Our results illustrated that the energy intensity of water facilities using pressure filter systems is affected by several pollutant removal efficiencies, but not by plant capacity. In contrast, the volume of water treated is the main factor responsible for the energy intensity in plants using rapid gravity filter systems and, therefore, their energy intensities are significantly affected by economies of scale. The results of this study should be useful to policy makers planning new facilities and developing policies to reduce the carbon footprints of urban water treatment plants.

[1]  Rodney Anthony Stewart,et al.  Energy intensity of rainwater harvesting systems: A review , 2014 .

[2]  Pere J. Ferrando,et al.  Two SPSS programs for interpreting multiple regression results , 2010, Behavior research methods.

[3]  Bryan W. Karney,et al.  Life-cycle energy analysis of a water distribution system , 2004 .

[4]  Marianna Garfí,et al.  Life cycle assessment of drinking water: Comparing conventional water treatment, reverse osmosis and mineral water in glass and plastic bottles , 2016 .

[5]  Ravi Ranjan,et al.  Contribution of Water and Wastewater Infrastructures to Urban Energy Metabolism and Greenhouse Gas Emissions in Cities in India , 2013 .

[6]  Bin Chen,et al.  Linkage analysis for the water–energy nexus of city , 2017 .

[7]  Weiwei Mo,et al.  Energy-water nexus analysis of enhanced water supply scenarios: a regional comparison of Tampa Bay, Florida, and San Diego, California. , 2014, Environmental science & technology.

[8]  Christopher M. Bros,et al.  Energy and water quality management systems for water utility's operations: a review. , 2015, Journal of environmental management.

[9]  Gustaf Olsson,et al.  Impact of urban water supply on energy use in China: a provincial and national comparison , 2016, Mitigation and Adaptation Strategies for Global Change.

[10]  Bryan W. Karney,et al.  Life-Cycle Energy Use and Greenhouse Gas Emissions Inventory for Water Treatment Systems , 2007 .

[11]  María Molinos-Senante,et al.  Cost modelling for wastewater treatment processes , 2011 .

[12]  David A. Belsley.  A Guide to using the collinearity diagnostics , 1991, Computer Science in Economics and Management.

[13]  Andrew Fang,et al.  The energy and emissions footprint of water supply for Southern California , 2015 .

[14]  Bin Chen,et al.  Urban energy–water nexus based on modified input–output analysis , 2017 .

[15]  Christian Bouchard,et al.  Comparative life cycle assessment of water treatment plants , 2012 .

[16]  H. White.  A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[17]  J. Mihelcic,et al.  Embodied energy comparison of surface water and groundwater supply options. , 2011, Water research.

[18]  Harro von Blottnitz,et al.  Life-cycle assessments in the South African water sector: A review and future challenges , 2011 .

[19]  Mark V. E. Santana,et al.  Influence of water quality on the embodied energy of drinking water treatment. , 2014, Environmental science & technology.

[20]  B. Tansel,et al.  Life cycle based analysis of demands and emissions for residential water-using appliances. , 2012, Journal of environmental management.

[21]  M. Webber,et al.  Evaluating the energy consumed for water use in the United States , 2012 .

[22]  Fang Yu,et al.  Construction and Operation Costs of Wastewater Treatment and Implications for the Paper Industry in China. , 2016, Environmental science & technology.

[23]  David V. Budescu,et al.  Beyond Global Measures of Relative Importance: Some Insights from Dominance Analysis , 2004 .

[24]  Jeff W. Johnson.  Factors Affecting Relative Weights: The Influence of Sampling and Measurement Error , 2004 .

[25]  Angelo Facchini,et al.  The energy metabolism of megacities , 2017 .

[26]  C. Scott,et al.  Has water privatization peaked? The future of public water governance , 2012 .

[27]  Veera Gnaneswar Gude,et al.  Energy and water autarky of wastewater treatment and power generation systems , 2015 .

[28]  V. Bellon-Maurel,et al.  Life cycle assessments of urban water systems: a comparative analysis of selected peer-reviewed literature. , 2014, Water research.

[29]  P. W. Gerbens-Leenes,et al.  Energy for freshwater supply, use and disposal in the Netherlands: a case study of Dutch households , 2016, Energy for Water.

[30]  Bashir Ahmad,et al.  Energy consumption for water use cycles in different countries: A review , 2016 .

[31]  M. Molinos-Senante,et al.  Reducing CO2 emissions from drinking water treatment plants: A shadow price approach , 2018 .

[32]  Maarten A. Siebel,et al.  Environmental and financial life cycle impact assessment of drinking water production at Waternet , 2008 .

[33]  María Molinos-Senante,et al.  Cost modeling for sludge and waste management from wastewater treatment plants: an empirical approach for Spain , 2013 .