Neutral Search Technique for Short-Term Pump Schedule Optimization

Bene, József Gergely; Selek, Istvan; Hős, Csaba

doi:10.1061/(asce)0733-9496(2010)136:1(133)

Cited by 32 publications

(10 citation statements)

References 10 publications

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“…The achieved optimal cost was 5830 ewhich is obviously better than the best solution found by the genetic algorithm (5865 e, [1]) or by a conventional DP approach (6170 e, [2]). The optimization process consumed about 0.02-0.03 second CPU time, the corresponding optimal schedule is shown in Fig.…”

Section: Resultsmentioning

confidence: 93%

“…1). By implementing this small network the obtained optimal control problem can be efficiently solved although its search space is still too large for complete enumeration (Section 5.1 and [1] The motivation behind this example is not to solve the test network and announce the superiority of our method, but to solve it with understanding. This system is small enough to track the state space and approach related quantities which would not be possible otherwise.…”

Section: The Investigated Networkmentioning

confidence: 99%

“…At first, the water flow of the well pump is assumed to be known priori (q well 0,t = 330 [m 3 / h]) resulting a combinatorial optimization problem where only discrete decisions are available as possible pump actions. This problem is used as a reference, for comparison see [1] and [2]. Motivated by the industry a mixed-combinatorial problem is introduced in the second case where (besides discrete delivery pumps) the flow rate of the well pump is considered as control variable as well having continuous decision space.…”

Section: The Investigated Networkmentioning

confidence: 99%

“…Currently metaheuristics dominate the research arena [1,5,6,31,32], they are widely applied due to their flexibility and robustness. However, they often provide poor solutions if the CPU time is limited for optimization making them unsuitable for online control [23].…”

Section: Introductionmentioning

confidence: 99%

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Water network operational optimization: Utilizing symmetries in combinatorial problems by dynamic programming

Bene

Selek

2012

Per. Pol. Civil Eng.

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This paper introduces a dynamic programming (DP) approach for solving deterministic combinatorial operational optimization problem of water distribution networks. The implementation of dynamic programming over control domain using permutational symmetries is suggested to replace the state space based DP procedures. To enhance the understanding an application on a ub-network of the water supply and distribution network of the city of Sopron (Hungary) is presented which is sufficiently small to track the (pseudo) state space and approach related quantities.Keywords dynamic programming · combinatorial operational optimization · water distribution systems AcknowledgementThe presented work has been carried out within Project OPUS (Project ID: 138349) funded by the Academy of Finland.This work was partially supported by the scientific program of the "Development of quality-oriented and harmonized R+D+I strategy and functional model at BME" project, New Hungary Development Plan (Project ID: TÁMOP-4.2.1/B-09/1/KMR-2010-0002).The authors would like to express their gratitude to Enso Ikonen, László Kullmann and Csaba Hős for the personal communication. József Gergely Bene

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Section: Resultsmentioning

confidence: 93%

Section: The Investigated Networkmentioning

confidence: 99%

Section: The Investigated Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Water network operational optimization: Utilizing symmetries in combinatorial problems by dynamic programming

Bene

Selek

2012

Per. Pol. Civil Eng.

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“…Most water distribution systems (WDSs) require the operation of pumps to deliver the necessary quantity of water with the adequate pressure to the final consumers. As reported by Lingireddy and Wood (1998) and Bene et al (2010), the electrical energy used to pump water is a significant portion of the total operational costs in WDSs.…”

Section: Introductionmentioning

confidence: 97%

Assessing variable speed pump efficiency in water distribution systems

Marchi

Simpson

Ertugrul

2012

Drink. Water Eng. Sci.

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Abstract. Energy savings and greenhouse gas emission reductions are increasingly becoming important design targets in many industrial systems where fossil fuel based electrical energy is heavily utilised. In water distribution systems (WDSs) a significant portion of operational cost is related to pumping. Recent studies have considered variable speed pumps (VSPs) which aim to vary the operating point of the pump to match demand to pumping rate. Depending on the system characteristics, this approach can lead to considerable savings in operational costs. In particular, cost reductions can take advantage of the demand variability and can decrease energy consumption significantly. One of the issues in using variable speed pumping systems, however, is the total efficiency of the electric motor/pump arrangement under a given operating condition. This paper aims to provide a comprehensive discussion about the components of WDS that incorporate variable speed pumps (including electric motors, variable frequency drives and the pumps themselves) to provide an insight of ways of increasing the system efficiency and hence to reduce energy consumption. In addition, specific attention is given to selection of motor types, sizing, duty cycle of pump (ratio of on-time and time period), losses due to installation and motor faults. All these factors affect the efficiency of motor drive/pump system.

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Modelling, Optimisation and Modernisation of Heating Systems

Sârbu

2021

Advances in Building Services Engineering

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Neutral Search Technique for Short-Term Pump Schedule Optimization

Cited by 32 publications

References 10 publications

Water network operational optimization: Utilizing symmetries in combinatorial problems by dynamic programming

Water network operational optimization: Utilizing symmetries in combinatorial problems by dynamic programming

Assessing variable speed pump efficiency in water distribution systems

Modelling, Optimisation and Modernisation of Heating Systems

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