%0 Journal Article %A Sunela, Markus I. %A Puust, Raido %D 2017 %T CCWI2017: F38 'Real-time Whole-cost Optimization of Water Production and Distribution' %U https://orda.shef.ac.uk/articles/journal_contribution/CCWI2017_F38_Real-time_Whole-cost_Optimization_of_Water_Production_and_Distribution_/5364061 %R 10.15131/shef.data.5364061.v1 %2 https://orda.shef.ac.uk/ndownloader/files/9218584 %K CCWI2017 %K pump scheduling %K real-time %K case-study %K Civil Engineering not elsewhere classified %X 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.
%I The University of Sheffield