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Content archived on 2024-05-27

Potable water distribution management

Objective

The aim is to establish the feasibility and efficacy of introducing real-time, optimal-control for water-distribution networks with a view to reducing operating costs and leakage. To that end, a generic methodology will be developed based on the use of a trained artificial neural network for predicting the consequences of control settings and a genetic algorithm to determine the optimal combination. Demand fluctuations, operating constraints and tariff structure will be taken into account. The prototype system will be applied to two networks of different complexities and the results compared with manual control. As a consequence of improved pressure management, it is confidently expected that optimal control will save some 20 percent of operating costs, particularly if leakage reduction is taken into account. Additionally, there will be improvements to system performance by ensuring that operational requirements are consistently met.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Call for proposal

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

CSC - Cost-sharing contracts

Coordinator

UNIVERSITY OF NEWCASTLE UPON TYNE
EU contribution
No data
Address
Cassie Building, Claremont Road
NE1 7RU NEWCASTLE UPON TYNE
United Kingdom

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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Participants (3)

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