Extending Municipal Water Demand Forecasting Capacities by Incorporating Behavioural Responses
Principal Investigator - Dr. Steven Renzetti, Professor, Brock University, 2013-2014
Outputs
Outputs include:
Construction of a demand forecasting computer model and user manual
Facilitation of a water demand forecasting workshop
Real-world case studies of cities who have adopted the demand forecasting model
Renzetti et al. (2015). Using demand elasticity as an alternative approach to modeling future community water demand under a conservation-oriented pricing system: An exploratory investigation. Canadian Water Resources Journal. Volume 40(1): 62-70
Study featured in Water Canada publication ǮSmall demands: How to bring water demand forecasting to small utilitiesǯ, April 17, 2015. URL: http://watercanada.net/2015/small-demands/
Outcomes
Anticipated Outcomes Include:
With the estimation of residential water demand models, the calculation of price and other elasticities and the construction of a demand forecasting model, the outputs of stage 1 are expected to produce the following outcomes:
Greater capacity for Guelph, Calgary and the CRD to undertake enhanced water demand forecasting
Increased awareness of the potential for improved demand forecasting through peer-reviewed publications and conference presentations
By holding a water demand forecasting workshop, the project is expected to produce the following outcomes
Contributing to the achievement of the CWWA National Water and Energy Efficiency Committeeǯs listed purpose and functions
Improved understanding of water demand forecasting demonstrated by workshop attendees
Extending Municipal Water Demand Forecasting Capacities by Incorporating Behavioural Responses
Principal Investigator - Dr. Steven Renzetti, Professor, Brock University, 2013-2014