Drinking Water Engineering and Science
Drinking Water Engineering and Science
Drinking Water Engineering and Science
Articles | Volume 10, issue 2
Articles | Volume 10, issue 2
https://doi.org/10.5194/dwes-10-69-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/dwes-10-69-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 2
Research article
 | 
15 Aug 2017
Research article |  | 15 Aug 2017

Flow intake control using dry-weather forecast

Otto Icke, Kim van Schagen, Christian Huising, Jasper Wuister, Edward van Dijk, and Arjan Budding

Viewed

Total article views: 2,503 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,536 850 117 2,503 201 126 124
  • HTML: 1,536
  • PDF: 850
  • XML: 117
  • Total: 2,503
  • Supplement: 201
  • BibTeX: 126
  • EndNote: 124
Views and downloads (calculated since 03 Feb 2017)
Cumulative views and downloads (calculated since 03 Feb 2017)

Viewed (geographical distribution)

Total article views: 2,503 (including HTML, PDF, and XML) Thereof 2,424 with geography defined and 79 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Apr 2025
Download
Short summary
Flow intake based on predictive control using dry-weather flow and rainfall predictions offers reduced peak discharges on the waste water treatment plants. This results in a better performance of the waste water treatment plant and particularly the utilisation of the post-treatment phase. Results at waste water treatment plant Bennekom show that about 50 % of bypass volume of the post-treatment phase can be prevented with operational predictive control. This improves the surface water quality.
Read more
Share
Special Issue
Computing and Control for the Water Industry, CCWI 2016