Journal cover Journal topic
Drinking Water Engineering and Science An interactive open-access journal

Journal metrics

  • CiteScore<br/> value: 0.79 CiteScore
    0.79
  • SNIP value: 0.813 SNIP 0.813
  • SJR value: 0.228 SJR 0.228
  • IPP value: 0.719 IPP 0.719
Drink. Water Eng. Sci., 10, 1-12, 2017
http://www.drink-water-eng-sci.net/10/1/2017/
doi:10.5194/dwes-10-1-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review article
26 Apr 2017
Review of applications for SIMDEUM, a stochastic drinking water demand model with a small temporal and spatial scale
Mirjam Blokker1, Claudia Agudelo-Vera1, Andreas Moerman1, Peter van Thienen1, and Ilse Pieterse-Quirijns2 1KWR Watercycle Research Institute, 3433 PE Nieuwegein, the Netherlands
2Amsterdam University of Applied Science, Faculty of Technology, Hogeschool van Amsterdam, Amsterdam, the Netherlands
Abstract. Many researchers have developed drinking water demand models with various temporal and spatial scales. A limited number of models is available at a temporal scale of 1 s and a spatial scale of a single home. The reasons for building these models were described in the papers in which the models were introduced, along with a discussion on their potential applications. However, the predicted applications are seldom re-examined. SIMDEUM, a stochastic end-use model for drinking water demand, has often been applied in research and practice since it was developed. We are therefore re-examining its applications in this paper. SIMDEUM's original purpose was to calculate maximum demands in order 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 for 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 the requirements for demand models in various applications.
Please read the corrigendum first before accessing the article.


Citation: Blokker, M., Agudelo-Vera, C., Moerman, A., van Thienen, P., and Pieterse-Quirijns, I.: Review of applications for SIMDEUM, a stochastic drinking water demand model with a small temporal and spatial scale, Drink. Water Eng. Sci., 10, 1-12, doi:10.5194/dwes-10-1-2017, 2017.
Publications Copernicus
Download
Short summary
SIMDEUM, a tool to predict and explain drinking water demand over the day for a single household, has many applications from designing a water network to hydraulic and water quality modelling in the drinking water network. We give an overview of the applications and the relation between the type of application and the required model detail. The design requires a temporal scale of 1 s and a spatial scale of 20 homes or more; water quality modelling requires 5 min and a single home.
SIMDEUM, a tool to predict and explain drinking water demand over the day for a single...
Share