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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- Publication date:
- September 11, 2017
- DOI:
-
- Keyword(s):
- Flow Control Fuzzy Logic Urban Flood Risk Reduction Real Time Control Urban Drainage Horizon 2020
- Grants:
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European Commission:
- CENTAUR - Cost Effective Neural Technique for Alleviation of Urban Flood Risk (641931)
- Meeting:
- 14th IWA / IAHR International Conference on Urban Drainage (ICUD2017), Prague, Czech Republic, 10-15 September 2017 (Session 5.12, Part 3)
- Communities:
- License (for files):
- Creative Commons Attribution Share Alike 4.0 International