![]() ![]() The model aimed to maximize water supply reliability while constraining cost. In this study, an optimization model for the operation of a joint system of a single reservoir and seawater desalination plant was developed for urban water supply. Thus, a comprehensive model for the operation of a joint system to systematically optimize both water supply reliability and economic efficiency is required. Although some studies have been done to combine seawater desalination with other options like reservoir and wastewater reuse for supplying high water demand, they either emphasize too much on economic cost rather than system operation, or lack quantitative investigation into the operation of an integrated or joint system. However, doing so introduces a tradeoff between water supply reliability and cost, as seawater desalination is relatively expensive because of its high energy consumption. In view of this, many coastal places are resorting to seawater desalination as a means of supplementing existing supplies from reservoirs. doi:10.1109/ use this identifier to cite or link to this item: Optimal operating rules for joint system of water supply reservoir and seawater desalination plant using genetic programming Bibliographic Details Authorĭue to climate change, population growth and industrial development, there is increasing scarcity of freshwater resources amidst rising demands. William E, Northern J Genetic Programming Lab (GPLab) Tool Set Version 3.0.GPlab toolbox (for Tree-based Genetic programing): Williams, Gaussian processes for machine learning, MIT Press, Cambridge, Mass., 2006. ![]() In order to run the source codes, you need the following MATLAB toolboxes. They may not be working below MATLAB R2018b. Note) These source codes are developed in MATLAB R2018b. If you have any questions, please feel free to contact me: (Seung-Seop Jin).
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