Hybrid genetic algorithm in the optimization of energy costs in water supply networks

Costa, Luis Henrique Magalhães; Ramos, Helena M.; Castro, Marco Aurélio Holanda de

doi:10.2166/ws.2010.194

Cited by 15 publications

(6 citation statements)

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“…Investigating efforts in new technological innovations are aimed to improving the energy efficiency of the several production sectors, which also applies to water supply companies [1,2]. Energy consumption due to the pumping systems represents the biggest parcel of the energy expenses in the water sector-sometimes up to 90% [3]-and there are several practical solutions which can enable a reduction in these costs.…”

Section: Introductionmentioning

confidence: 99%

Energy Cost Optimization in a Water Supply System Case Study

Moreira¹,

Ramos²

2013

Journal of Energy

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The majority of the life cycle costs (LCC) of a pump are related to the energy spent in pumping, with the rest being related to the purchase and maintenance of the equipment. Any optimizations in the energy efficiency of the pumps result in a considerable reduction of the total operational cost. The Fátima water supply system in Portugal was analyzed in order to minimize its operational energy costs. Different pump characteristic curves were analyzed and modeled in order to achieve the most efficient operation point. To determine the best daily pumping operational scheduling pattern, genetic algorithm (GA) optimization embedded in the modeling software was considered in contrast with a manual override (MO) approach. The main goal was to determine which pumps and what daily scheduling allowed the best economical solution. At the end of the analysis it was possible to reduce the original daily energy costs by 43.7%. This was achieved by introducing more appropriate pumps and by intelligent programming of their operation. Given the heuristic nature of GAs, different approaches were employed and the most common errors were pinpointed, whereby this investigation can be used as a reference for similar future developments.

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Section: Introductionmentioning

confidence: 99%

Energy Cost Optimization in a Water Supply System Case Study

Moreira¹,

Ramos²

2013

Journal of Energy

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“…The operating conditions of the megapolis WSS are formed under the influence of many factors that depend on the reserves and quality of natural waters, the technical parameters of the WSS, and the way of life of people. The WSS should provide the population of the megapolis with drinking water that meets quality standards, under-regulated pressure, and in the required quantities [5,60,61]. The optimal balance between consumer demand and water supply, which excludes water shortage and ensures a reliable water supply for social and production purposes, is the main guarantee for the vital activity and functioning of the CMFMCs of the metropolis.…”

Section: Aspects Of the Energy-efficient Operation Of The Water Suppl...mentioning

confidence: 99%

“…Water consumption is uneven over the course of the day [57,69], as well as over the course of the week, month, and year, and arises under the influence of many independent factors: seasonal, climatic (precipitation, air temperature) [59], social (working hours of companies and organizations of the CMFMCs, weekdays, weekends, governmental and religious holidays). Effective planning and optimization of the operating mode of pumping stations improve the efficiency of energy consumption [61,68,70].…”

Section: Aspects Of the Energy-efficient Operation Of The Water Suppl...mentioning

confidence: 99%

Efficient Energy Management for the Smart Sustainable City Multifloor Manufacturing Clusters: A Formalization of the Water Supply System Operation Conditions Based on Monitoring Water Consumption Profiles

Davydenko

Deja

et al. 2023

Energies

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This study is devoted to improving the energy efficiency of urban infrastructure systems (UISs), in particular, the centralized water supply of a city multifloor manufacturing cluster (CMFMC), by developing the principles of effective energy consumption management. The CMFMCs are located in the residential area of a megapolis and include manufacturing and service enterprises, residential and non-residential buildings, and a city logistics node. Demand monitoring and identification of the influence of seasonal and social environmental factors on its fluctuations is considered as a tool for identifying changes in the operating conditions of the water supply system (WSS) for the CMFMC facilities. To identify the typical operating conditions of water supply facilities, an approach is proposed that involves the analysis of daily water consumption profiles (WCPs). The formation of a database, the formation of groups of the same type of daily WCPs, and the construction of typical daily WCPs for typical groups and their description are the main stages of the proposed approach. The database contains a set of classification characteristics that describe the daily water consumption and its unevenness, as well as the shape of the daily WCP. The principal component analysis was applied to determine the dominant components of daily water consumption. A set of morphometric parameters was used to describe the shape of the daily WCPs. The methods of cluster and discriminant analysis were used to identify the influence of seasonality and social factors on water consumption and to form groups of the same type of daily WCPs. The analysis of sets of similar type of daily WCPs for typical days of typical seasons was carried out for a formalized description of the typical operating conditions of water supply facilities. The results of the analysis are the clarification of the equations of the dominant components of daily water consumption, the determination of the average values of the characteristics of daily water consumption, and the construction and description of typical daily WCPs for typical operating conditions of water supply facilities. The research results were obtained on the basis of the data of the monitoring systems for water supply enterprises in Ukraine and Poland in 2021–2022. The obtained results are the basis for planning the water supply process and adjusting the operation modes of WSS pumping stations for the CMFMC, as well as planning power consumption for typical operating conditions, which will contribute to increasing the efficiency of water and electricity use.

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“…Goldman et al (2002) provide a detailed list of optimization models developed for pump operations. Models optimizing pump operations in water distribution systems (WDS) developed after 2002 include: Rao and Salomons (2007); Sakarya and Mays (2000); Salomons et al (2007); Shamir and Salomons (2008); Ramos and Ramos (2009); Cohen et al (2009); Costa et al (2010); Kurek and Ostfeld (2013); Goldman et al (2002); Hashemi et al (2014); Ghaddar et al (2015) and Khatavkar and Mays (2017).…”

Section: Table 1 Guidelines For Tank Turnover Rates (Awwa 2002b)mentioning

confidence: 99%

“…The optimization-simulation methodology is based upon linking the EPANET model with a genetic algorithm. Costa et al (2010) developed a branch-and-bound algorithm interfaced with EPANET for optimal pump operation of WDS. Kurek and Ostfeld (2013) linked EPANET to a multi-objective methodology using a strength Pareto evolutionary algorithm to demonstrate the tradeoffs between pumping cost, water quality and tank sizing of WDS.…”

Section: Previous Optimization Models For Pump Operationmentioning

confidence: 99%

Testing an Optimization–Simulation Model for Optimal Pump and Valve Operations with Required Storage Tank Turnovers

Khatavkar

Mays

2019

JWMM

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An optimization-simulation model is developed for the operation of pumps and valves in water distribution systems (WDS) requiring storage tank turnover. The purpose of the model is to determine the pump and valve operation schedules that minimize the power costs or energy used for pump operations which satisfy demand, pressure, and tank turnover requirements. The modeling approach interfaces a genetic algorithm optimization procedure with the WDS hydraulic and water quality simulator (EPANET) in the framework of an optimal control problem. The interfacing of the genetic algorithm and the EPANET model is implemented within the framework of MATLAB. The application of the optimization-simulation model to a physical water distribution system verifies the importance of such an approach for practical applications.

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Hybrid genetic algorithm in the optimization of energy costs in water supply networks

Cited by 15 publications

References 0 publications

Energy Cost Optimization in a Water Supply System Case Study

Energy Cost Optimization in a Water Supply System Case Study

Efficient Energy Management for the Smart Sustainable City Multifloor Manufacturing Clusters: A Formalization of the Water Supply System Operation Conditions Based on Monitoring Water Consumption Profiles

Testing an Optimization–Simulation Model for Optimal Pump and Valve Operations with Required Storage Tank Turnovers

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