Real-time Whole-cost Optimization of Water Production and Distribution Framework
Sunela, Markus I; Puust, Raido (2017-09)
Sunela, Markus I
Puust, Raido
09 / 2017
Computing and Control for the Water Industry
Kuvaus
Peer reviewed
Tiivistelmä
Optimizing water production and distribution in near real-time can result in significant savings in energy and chemical costs. This paper presents a novel, generic optimization framework, based on a single-solution meta-heuristic optimization algorithm called modified hybrid discrete dynamically dimensioned search (MHD-DDS). The optimization framework finds optimal settings for all stations in the network and optimal frequencies for all variable-speed driven pumps (VSP) for the 24 hours following the optimization run start. Tampere water supply system was used as a large-scale case- study, and the optimization was able to reduce production and distribution costs by almost 20 % while ensuring better quality of service (QoS) than before. Keywords:
Kokoelmat
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