Abstract
Energy costs can be a major component of operational costs for water utilities. Operational efficiencies including optimising energy costs while maintaining continuity of supply is one area to reduce overall operational costs. To address the challenge, we have proposed an effective optimisation model to minimise the energy cost for water distribution networks. A simulation of the model over a water distribution network in Sydney demonstrated that 15% saving in energy cost could be achieved using this approach, as compared with the existing rule-based method.
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Acknowledgement
We’d like to thank the Sydney Water Corporation for partially funding this research and also for providing data and domain knowledge.
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Zhao, Y. et al. (2019). Optimising Pump Scheduling for Water Distribution Networks. In: Liu, J., Bailey, J. (eds) AI 2019: Advances in Artificial Intelligence. AI 2019. Lecture Notes in Computer Science(), vol 11919. Springer, Cham. https://doi.org/10.1007/978-3-030-35288-2_35
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DOI: https://doi.org/10.1007/978-3-030-35288-2_35
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