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

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Short summary

Cited articles

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Bakker, M., Vreeburg, J. H. G., Palmen, L. J., Sperber, V., Bakker, G., and Rietveld, L. C.: Better water quality and higher energy efficiency by using model predictive flow control at water supply systems, J. Water Supply Res. T., 62, 1–13, 2013b.
de Koning, M., van Schagen, K. M., Agarwalla, B., Trolio R., and Domuard, M. (Eds.): Predictive control in wastewater treatment, OZ Water '13 Conference, Perth, Australia, 2013.
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Hooijman, N.: Vergelijkende verificatie van neerslagverwachtingen van de modellen HARMONIE, HIRLAM en ECMWF (Comparative verification of precipitation forecasts from the models HARMONIE, HIRLAM and ECMWF), Tech. rep., KNMI Internal Report, IR-2014-09, 2014.
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.