Water-Use Info provides a good understanding of water demand and water discharge, in quantity as well as in quality. These aspects can be examined for a variety of design or operational scenarios for networks and installations.
For example, for different demographic scenarios with different household compositions, or for technical developments in water-using appliances, involving increased or decreased water use, or the use of different water sources, such as rain water.
Water-Use Info benefits
- Understanding of water use over the course of the day, broken down by end-use – how much water is needed, and when, for what purpose (e.g., toilet flushing, showering, consumption).
- Understanding of required water quality and quality of discharged water over the course of the day. Insight into quantitative and qualitative water demand in the design stage of the drinking water installation and distribution network.
- Insight into quantitative and qualitative water discharge for the recovery of thermal energy and nutrients from wastewater. Insight into quantitative and qualitative water demand and discharge when matching water demand with alternative sources of water, such as recycled water and rain water.
- Insight into quantitative and qualitative water demand in the operating stage of the drinking water distribution network.
How does it work?
Water-Use Info contains a comprehensive manual on the necessary data and how to collect them from various easily available sources. The input for the tool consists of household data, time budget data and water-using appliances data.
It describes how the tool uses this information and how to read and save the data. Finally, it elaborates on how to use demand patterns in a network model.
Water-Use Info provides a good understanding of water demand:
- when water is needed,
- in what quantity,
- at what temperature,
- whether there is a need for potable or non-potable water and
- at what location in the house, building or drinking water distribution network.
It also gives a good understanding of the discharge of water:
- when water is discharged to the sewer,
- how much is discharged,
- at what temperature and
- containing what substances.
The results can be translated into design parameters or applied in hydraulic and water quality models.
Water-Use Info consists of the SIMDEUM® demand pattern generator and the SIMSEM water discharge model. These tools generate a set of possible demand and discharge patterns, that will allow you to extract the most suitable parameters to design or operate an installation or network.
Water-Use Info implementation steps:
- Information collection:
1) information on households from the national statistical office
2) information from time allocation research, and
3) information on water use.
- Information processing:
information on one’s own country, possibly complemented with database information, saved and loaded into the SIMDEUM® Pattern Generator (SPG), and water-use simulation.
- Results presentation:
visualize and save water-use patterns.
water-use patterns can be analysed so as to gain insight into water-saving possibilities or, for example, to be applied in a distribution network calculation program.
There are several forms of support available to ensure that you optimize your use of Water-Use Info and that you are updated on all the latest developments. Specifically, you can make use of the following options to suit your particular situation:
- A short introductory – or more elaborate – course on sustainable Water-Use Info for you and your clients.
- Expanded or modified Water-Use Info functionalities to create tailored solutions.
- Consultancy services, including technical and organizational process management, raising support for change and reporting.
- Access to Water-Use Info-related projects or research.
Mentioned in: 5 Publications
Enrolled in: 2 Cases in 1 Country
- Blokker, M.
"Stochastic water demand modelling; Hydraulics in water distribution networks"
London: IWA publishing, 2011.
- Blokker, M.,
"Fixture level demand modelling for improved network knowledge”
Water 21 (December 2011), 36-37.
- Blokker, E.J.M., Vreeburg, J.H.G., and Van Dijk, J.C.
"Simulating residential water demand with a stochastic end-use model"
Journal of Water Resources Planning and Management, 136(1), 19-26, doi:10.1061/(ASCE)WR.1943-5452.0000002.
- Blokker, E.J.M., Beverloo, H., Vogelaar, A.J., Vreeburg, J.H.G., and Van Dijk, J.C.
"A bottom-up approach of stochastic demand allocation in a hydraulic network model; a sensitivity study of model parameters"
Journal of Hydroinformatics, 13(4), 714-728, doi:10.2166/hydro.2011.067.
- Blokker, E.J.M., Vreeburg, J.H.G., Beverloo, H., Klein Arfman, M., and Van Dijk, J.C.
"A bottom-up approach of stochastic demand allocation in water quality modelling"
Drinking Water Engineering Science, 3(1) (2010), 43-51.