Conference paper Open Access

Developing and testing a Fuzzy Logic algorithm to alleviate the risk of flooding by controlling a flow control device in a laboratory setting

Abdel-Aal, Mohamad; Shepherd, Will; Ostojin, Sonja; Mounce, Stephen; Shucksmith, James; Schellart, Alma; Skipworth, Pete; Steinhardt, Joerg; Tait, Simon

The aim of the CENTAUR project (Cost Effective Neural Technique for Alleviation of Urban flood Risk) is to develop a low cost system that is able to mobilise unused distributed storage within sewer networks during rainfall events and so reduce local flood risk. The current system uses a Fuzzy Logic algorithm to regulate a flow control device to reduce the risk of downstream flooding in sewers by maximising the usage of existing upstream storage capacity.

This paper presents results from a laboratory study using a full scale pilot system and work undertaken to refine and prove the methodology before implementation in a sewer network.

CENTAUR is an Innovation action funded by European Union’s (EU) Horizon 2020 research and innovation programme under grant agreement No 641931.

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