2021
DOI: 10.3390/w13091141
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Impact of the Pumping Regime on Electricity Cost Savings in Urban Water Supply System

Abstract: The main purpose of the presented research is to raise the efficiency of pumping stations’ operational work by developing a model for reducing energy costs in urban water supply systems. Pumping systems are responsible for a significant portion of the total electrical energy use. Significant opportunities exist to reduce the pumping energy through smart design, retrofitting, and operating practices. Today, considering the increase in pumping energy prices in water conveyance systems, the problem of optimal ope… Show more

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Cited by 16 publications
(5 citation statements)
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References 33 publications
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“…The test results above show that all of the efficiency programs implemented are able to reduce the average daily cost of using compressed gas CNG energy to reach 78.49%. This is in line with previous studies such as the research of Dadar et al (2021) regarding the success of the pump station energy cost efficiency program which was able to contribute to reducing power consumption by around 15.4% -17% per day, through operational work by developing a model to reduce energy costs in urban water supply systems showed that optimization of cost efficiency programs with Genetic Algorithm Optimization (GAO). Or even if it's only 10% daily efficiency the value will be equivalent to a cost savings of 83,220,000 Riyals (1,666.46€) per day.…”
Section: Comparison Of Operating Cost Performance Before and After Th...supporting
confidence: 90%
See 1 more Smart Citation
“…The test results above show that all of the efficiency programs implemented are able to reduce the average daily cost of using compressed gas CNG energy to reach 78.49%. This is in line with previous studies such as the research of Dadar et al (2021) regarding the success of the pump station energy cost efficiency program which was able to contribute to reducing power consumption by around 15.4% -17% per day, through operational work by developing a model to reduce energy costs in urban water supply systems showed that optimization of cost efficiency programs with Genetic Algorithm Optimization (GAO). Or even if it's only 10% daily efficiency the value will be equivalent to a cost savings of 83,220,000 Riyals (1,666.46€) per day.…”
Section: Comparison Of Operating Cost Performance Before and After Th...supporting
confidence: 90%
“…According to the research results of Dadar et al (2021) on pump station efficiency research, using Genetic Algorithm Optimization (GAO) to achieve a minimum energy cost showed that optimization with GAO reduces energy cost consumption by about 15-20%. There is a significant e-ISSN: 2337-3067…”
Section: Comparison Of Operating Cost Performance Before and After Th...mentioning
confidence: 99%
“…Scenarios 2 and 3 were found to have low water supply efficiency downstream of the YRB. Dadar et al [49] noted that pumping stations and wastewater processing units are the vital centers and main arteries of water transmission. They are major sources of water generation in water distribution networks.…”
Section: Changes In Water Shortage Due To Application Of Water Supply Scenariosmentioning
confidence: 99%
“…In addition, Mehzad 12 and Hashemi et al 13 applied ant colony optimizations to a water transmission network to form a cost-minimizing pumping schedule. Dadar et al 14 on the other hand, used a genetic algorithm to derive the optimal method of operating the pumping system, thus minimizing the energy cost. For the optimization of pumping systems in water supply systems, Candilejo et al 15 on the other hand, used the Granados optimization system to predict the expected effects of pumping systems and compare proposed optimization cases.…”
Section: Introductionmentioning
confidence: 99%