Review of applications of SIMDEUM, a stochastic drinking water demand model with small temporal and spatial scale
Mirjam Blokker1, Claudia Agudelo-vera1, Andreas Moerman1, Peter van Thienen1, and Ilse Pieterse-Quirijns21KWR Watercycle Research Institute, Nieuwegein, 3433 PE, the Netherlands 2Hogeschool van Amsterdam, Amsterdam, the Netherlands
Received: 25 Jan 2017 – Accepted for review: 26 Jan 2017 – Discussion started: 27 Jan 2017
Abstract. Many researchers have developed drinking water demand models with various temporal and spatial scales. A limited number of models are available at a temporal scale of one second and a spatial scale of a single home. Reasons for building these models were described in the papers in which the models were introduced, along with a discussion on potential applications. However, the predicted applications are seldom re-examined. As SIMDEUM, a stochastic end-use model for drinking water demand, has often been applied in research and practice since it was developed, we are re-examining its applications in this paper. SIMDEUM’s original purpose was to calculate maximum demands in order to be able to design self-cleaning networks. Yet, the model has been useful in many more applications. This paper gives an overview of the many fields of application of SIMDEUM and shows where this type of demand model is indispensable and where it has limited practical value. This overview also leads to an understanding of requirements on demand models in various applications.
Blokker, M., Agudelo-vera, C., Moerman, A., van Thienen, P., and Pieterse-Quirijns, I.: Review of applications of SIMDEUM, a stochastic drinking water demand model with small temporal and spatial scale, Drink. Water Eng. Sci. Discuss., doi:10.5194/dwes-2017-4, in review, 2017.