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contributor authorMarcelo Manteigas
contributor authorAntónio Andrade-Campos
contributor authorAndré Antunes
contributor authorBernardete Coelho
date accessioned2022-05-07T20:33:36Z
date available2022-05-07T20:33:36Z
date issued2021-10-22
identifier other(ASCE)WR.1943-5452.0001491.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4282604
description abstractModern cities have water supply systems (WSS) that reliably meet the water demand of every individual household. If inefficiently managed, these energy-consuming systems can become very costly. To produce the most cost-efficient operational strategies, many techniques using emerging computer power, simulation technologies, and sensing devices have been developed. Some of these techniques rely on water consumption predictions to provide optimal pumping strategies. However, predicted consumptions contain errors, and these techniques do not automatically adjust to sudden changes in demand. To solve this problem, a cost-adaptive finite-horizon controller to efficiently update the pumping operation strategy based on monitored deviations against the predicted consumption is proposed. This methodology takes into account the tariffs of electricity over time and an optimized reference to continuously make the most cost-efficient updates in the pumping strategy. To validate the cost-adaptive controller, two case studies were used: (1) a single pump-tank network; and (2) the Richmond benchmark network. Both evaluations delivered positive results achieving the desired control reliability while improving cost efficiency. The combination of water consumption predictions and adaptive control methodologies provides a reliable and cost-efficient solution for the automatic operation of WSS.
publisherASCE
titleCost-Efficient Algorithms for a Pump Horizon Control in Water Supply System
typeJournal Paper
journal volume148
journal issue1
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/(ASCE)WR.1943-5452.0001491
journal fristpage04021091
journal lastpage04021091-15
page15
treeJournal of Water Resources Planning and Management:;2021:;Volume ( 148 ):;issue: 001
contenttypeFulltext


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