Technical Papers
Feb 16, 2017

Models for Generating Household Water Demand Pulses: Literature Review and Comparison

Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 6

Abstract

In the context of household water demand generation with high time resolution (down to 1 s), two different categories of models have been proposed, aimed at representing instantaneous demand as the superimposition of pulses with constant intensity. The two categories differ in the spatial scale considered for demand generation. In detail, the models of the first category generate the demand as a whole at the household spatial scale. Those of the second category instead generate the demand at the scale of the microcomponents—that is, the various fixtures producing water demand pulses—and sum the microcontributions to obtain the total instantaneous demand of the household. The models of the first category are parameterized based on demand measurements. The models of the second category (actually, only one model exists, named SIMDEUM, standing for SIMulation of water Demand, an End-Use Model) are instead parameterized as a function of information derived from surveys, such as household occupants’ age and behavior, number and kind of household fixtures. This paper presents a review of the models for water demand pulse generation. In this review, the main differences in the modeling structure are described and the various parameterization methods are presented. Though the two categories of model operate at different spatial scales, three models—that is, two models of the first category, Poisson rectangular pulse (PRP) and PRP with correlated pulse durations and intensities (cor-PRP), and model SIMDEUM for the second category—are chosen as representative and are applied to a case study in Milford, Ohio, for which demand measurements and information about the household fixtures and occupants are all available. The merits and limits of the models are highlighted in the applications.

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References

Alcocer-Yamanaka, V. H., Tzatchkov, V., and Buchberger, S. G. (2006). “Instantaneous water demand parameter estimation from coarse meter readings.” Proc., Water Distribution Systems Analysis Symp., ASCE, Reston, VA, 1–14.
Alcocer-Yamanaka, V. H., and Tzatchkov, V. G. (2012). “Modeling of drinking water distribution networks using stochastic demand.” Water Resour. Manage., 26(7), 1779–1792.
Alvisi, S., Franchini, M., and Marinelli, A. (2003). “A stochastic model for representing drinking water demand at residential level.” Water Resour. Manage., 17(3), 197–222.
Beal, C. D., Gurung, T. R., and Stewart, R. A. (2016). “Demand-side management for supply-side efficiency: Modeling tailored strategies for reducing peak residential water demand.” Sustainable Prod. Consumption, 6, 1–11.
Blokker, E. J. M., Buchberger, S. G., Vreeburg, J. H. G., and van Dijk, J. C. (2008a). “Comparison of water demand models: PRP and SIMDEUM applied to Milford, Ohio, data.” WDSA 2008, J. E. van Zyl, A. A. Ilemobade, and H. E. Jacobs, ed., Kruger National Park, South Africa, 182–195.
Blokker, E. J. M., Vreeburg, J. H. G., Buchberger, S. G. and van Dijk, J. C. (2008b). “Importance of demand modelling in network water quality models: A review.” Drink. Water Eng. Sci., 1(1), 27–38.
Blokker, E. J. M., Vreeburg, J. H. G., and van Dijk, J. C. (2010). “Simulating residential water demand with a stochastic end-use model.” J. Water Resour. Plann. Manage., 19–26.
Blokker, M. (2011). Stochastic water demand modeling: Hydraulics in water distribution networks, IWA Publishing, London.
Buchberger, S. G., Carter, J. T., Lee, Y. H., and Schade, T. G. (2003). “Random demands, travel times and water quality in dead-ends, prepared for American Water Works Association Research Foundation.”, American Water Works Association Research Foundation, Denver.
Buchberger, S. G., and Wells, G. J. (1996). “Intensity, duration and frequency of residential water demands.” J. Water Resour. Plann. Manage., 11–19.
Buchberger, S. G., and Wu, L. (1995). “Model for instantaneous residential water demands.” J. Hydraul. Eng., 232–246.
Creaco, E., et al. (2016a). “Methods for preserving duration–intensity correlation on synthetically generated water-demand pulses.” J. Water Resour. Plann. Manage., .
Creaco, E., Farmani, R., Kapelan, Z., Vamvakeridou-Lyroudia, L., and Savic, D. (2015a). “Considering the mutual dependence of pulse duration and intensity in models for generating residential water demand.” J. Water Resour. Plann. Manage., .
Creaco, E., Farmani, R., Vamvakeridou-Lyroudia, L., Buchberger, S. G., Kapelan, Z., and Savic, D. A. (2015b). “Correlation or not correlation? This is the question in modelling residential water demand pulses.” Procedia Eng., 119(1), 1455–1462.
Creaco, E., Kossieris, P., Vamvakeridou-Lyroudia, L., Makropoulos, C., Kapelan, Z., and Savic, D. (2016b). “Parameterizing residential water demand pulse models through smart meter readings.” Environ. Modell. Software, 80, 33–40.
DeOreo, W. B. (2011). “Analysis of water use in new single family homes.” ⟨www.aquacraft.com⟩ (Dec. 19, 2016).
Donkor, E., Mazzuchi, T., Soyer, R., and Alan Roberson, J. (2014). “Urban water demand forecasting: Review of methods and models.” J. Water Resour. Plann. Manage., 146–159.
Garcıa, V. J., Garcıa-Bartual, R., Cabrera, E., Arregui, F., and Garcıa-Serra, J. (2004). “Stochastic model to evaluate residential water demands.” J. Water Resour. Plann. Manage., 386–394.
Gleick, P. H., et al. (2003). Waste not, want not: The potential for urban water conservation in California, Pacific Institute for Studies in Development, Environment, and Security, Oakland, CA.
Guercio, R., Magini, R., and Pallavicini, I. (2001). “Instantaneous residential water demand as stochastic point process.” Water Resources Management, C. A. Brebbia, et al., ed., WIT, Southampton, U.K., 129–138.
Hall, A. R. (2004). “Generalized method of moments.” Advanced Texts in Econometrics, Oxford University Press, Oxford, U.K.
Kim, S. and Kavvas, M. (2006). “Stochastic point rainfall modeling for correlated rain cell intensity and duration.” J. Hydrol. Eng., 29–36.
Kossieris, P., Makropoulos, C., Creaco, E., Vamvakeridou-Lyroudia, L., and Savic, D. (2016). “Assessing the applicability of the Barlett-Lewis model in simulating residential water demands.” Procedia Eng., 154, 123–131.
Maddaus, W. O. (1987). "The effectiveness of residential water conservation measures (pdf)." J. Am. Water Works Assoc., 79(3), 52–58.
Mayer, P. W., et al. (1999). Residential end uses of water, AWWARF, Denver.
Rodriguez-Iturbe, I., Cox, D. R., and Isham, V. (1987). “Some models for rainfall based on stochastic point processes.” Proc. Soc. London Math. Phys. Sci., 410(1839), 269–288.
Rodriguez-Iturbe, I., Cox, D. R., and Isham, V. (1988). “A point process model for rainfall: Further developments.” Proc. Soc. London Math. Phys. Eng. Sci., 417(1853), 283–298.
Walski, M., Chase, D., Savic, D., Grayman, W., Beckwith, S., and Koelle, E. (2003). Advanced water distribution modelling and management, Haestad, Waterbury, CT.

Information & Authors

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 143Issue 6June 2017

History

Received: Aug 29, 2016
Accepted: Nov 21, 2016
Published online: Feb 16, 2017
Published in print: Jun 1, 2017
Discussion open until: Jul 16, 2017

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Authors

Affiliations

Enrico Creaco, Ph.D. [email protected]
Assistant Professor, Dipartimento di Ingegneria Civile e Architettura, Univ. of Pavia, Via Ferrata 3, Pavia 27100, Italy; Honorary Senior Research Fellow, College of Engineering, Mathematics and Physical Sciences, Univ. of Exeter, Prince of Wales Rd., Exeter EX4, U.K.; Adjunct Senior Lecturer, Faculty of Engineering, Computer and Mathematical Sciences, Univ. of Adelaide, SA 5005, Australia (corresponding author). E-mail: [email protected]
Mirjam Blokker, Ph.D. [email protected]
Researcher, KWR Watercycle Research Institute, Groningenhaven 7, 3433 PE Nieuwegein, Netherlands. E-mail: [email protected]
Steven Buchberger, Ph.D., M.ASCE [email protected]
Professor, College of Engineering and Applied Science, Univ. of Cincinnati, 2600 Clifton Ave., Cincinnati, OH 45220. E-mail: [email protected]

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