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Optimal operation of a potable water distribution network.
C Biscos1, M Mulholland, M V Le Lann
1Pollution Research Group, School of Chemical Engineering, University of Natal, Durban, South Africa. biscosc@nu.ac.za
Summary
This study optimizes potable water distribution networks by using Mixed Integer Non-linear Programming (MINLP) to maximize low-cost energy use while maintaining reservoir levels. The algorithm effectively controls the complex water distribution process.
Area of Science:
- Water resource management
- Operations research
- Control engineering
Background:
- Potable water distribution networks are complex systems with dynamic and discrete elements.
- Optimizing network operation is crucial for cost-efficiency and supply reliability.
- Balancing energy costs with maintaining minimum reservoir levels presents a significant challenge.
Purpose of the Study:
- To develop and present an optimal operation approach for potable water distribution networks.
- To maximize the utilization of low-cost power sources.
- To ensure minimum emergency water levels are maintained across all reservoirs.
Main Methods:
- The study employs Mixed Integer Non-linear Programming (MINLP) to address the predictive control and constrained optimization problem.
- The approach integrates dynamic elements (reservoirs) and discrete elements (pumps, valves, routing).
Main Results:
- Initial experimental results demonstrate the algorithm's effectiveness in controlling the water distribution process.
- The approach successfully balances the objectives of low-cost power maximization and reservoir level maintenance.
Conclusions:
- The proposed MINLP-based approach provides a viable solution for the optimal operation of potable water distribution networks.
- The algorithm shows promise for enhancing the efficiency and reliability of water supply systems.