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Critical pressure-deficient operating conditions frequently occur in water distribution networks. Head driven analysis (HDA) of water distribution networks allows for the pressure-dependent nature of nodal flows and, therefore, yields the actual nodal flows and heads for both normal and subnormal pressure conditions. Hence, HDA simulation models are more practical than demand driven analysis models that assume that all demands are satisfied in full even under pressure-deficient conditions. This paper describes an approach in which a new pressure-dependent demand function that has no discontinuities has been incorporated in the Gradient Method. The procedure has been tested extensively and demonstrated to be capable of effectively simulating both normal and pressure-deficient operating conditions. The algorithm's convergence is smooth and rapid thanks to a line search and backtracking procedure that ensures progress towards the solution in each iteration. The results presented herein would appear to confirm that the proposed method is robust and efficient. Results for a real network are also included.
- demand-driven analysis
- head-dependent modelling
- head-flow relationship
- pressure-deficient water distribution system
- pressure-dependent demand
PF-MOEA: Penalty-free feasibility boundary-convergent multi-objective evolutionary approach for water distribution
1/10/09 → 31/03/13
Jun 2014, In : Proceedings of the ICE - Water Management . 167, 6, p. 342-355 14 p.
Research output: Contribution to journal › ArticleOpen AccessFile15 Citations (Scopus)293 Downloads (Pure)
Penalty-free feasibility boundary convergent multi-objective evolutionary algorithm for the optimization of water distribution systemsSiew, C. & Tanyimboh, T., Dec 2012, In : Water Resources Management. 26, 15, p. 4485-4507 23 p.
Research output: Contribution to journal › ArticleOpen AccessFile23 Citations (Scopus)103 Downloads (Pure)