Hybrid solution and pump-storage optimization in water supply system efficiency: A case study

Vieira, Filipe; Ramos, Helena M.

doi:10.1016/j.enpol.2008.07.040

Cited by 70 publications

(30 citation statements)

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“…The adaptation of water supply systems to produce energy has the advantage of leveraging components that already exist. Furthermore, continuous supply is guaranteed by consumption throughout the day (Ramos et al 2010;Vieira and Ramos 2008;Kougias et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Simulated Annealing in Optimization of Energy Production in a Water Supply Network

Samora

Franca

Schleiss

et al. 2016

Water Resour Manage

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In water supply systems, the potential exists for micro-hydropower that uses the pressure excess in the networks to produce electricity. However, because urban drinking water networks are complex systems in which flows and pressure vary constantly, identification of the ideal locations for turbines is not straightforward, and assessment implies the need for simulation. In this paper, an optimization algorithm is proposed to provide a selection of optimal locations for the installation of a given number of turbines in a distribution network. A simulated annealing process was developed to optimize the location of the turbines by taking into account the hourly variation of flows throughout an average year and the consequent impact of this variation on the turbine efficiency. The optimization is achieved by considering the characteristic and efficiency curves of a turbine model for different impeller diameters as well as simulations of the annual energy production in a coupled hydraulic model. The developed algorithm was applied to the water supply system of the city Lausanne (Switzerland). This work focuses on the definition of the neighborhood of the simulated annealing process and the analysis of convergence towards the optimal solution for different restrictions and numbers of installed turbines.Water Resour Manage

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Section: Introductionmentioning

confidence: 99%

Simulated Annealing in Optimization of Energy Production in a Water Supply Network

Samora

Franca

Schleiss

et al. 2016

Water Resour Manage

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“…In [62], an hourly discretized optimization model for the determination of operational planning in a pump-hydro system is presented. This pumping system is designed to supply water, as well as to regularize the irrigation flows and produce electric energy.…”

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

“…References [39] to [50] are EE oriented pump operation controls. The focus of these articles is on ensuring that energy consumption is kept to a minimum during operation.…”

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

“…The focus of these articles is on ensuring that energy consumption is kept to a minimum during operation. These include modifying impellers [39]; minimizing the power consumption for a given demand by operating with the optimal combinations of different sized pumps, [40] to [43]; using VSD, [40] to [49]; and generating power by using a pump as a turbine during peak hours [50].…”

Section: Department Of Electrical Electronic and Computer Engineerinmentioning

confidence: 99%

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Optimal sizing and operation of pumping systems to achieve energy efficiency and load shifting

Zhang

Xia

Zhang

2012

Electric Power Systems Research

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Degree: Master of Engineering (Electrical)Keywords: Pump, energy efficiency, load shifting, operational cost, POET, optimal capacity selection, optimal control, MPC, variable speed drive, mixed integer PSO.This dissertation presents a pumping system operation efficiency improvement solution that includes optimal selection and control of the water pump. This solution is formulated based on the performance, operation, equipment and technology (POET) framework. The focus is on the minimization of the operational energy cost. This efficiency improvement solution is divided into three stages in accordance with the operation category of the POET framework. The first stage is to select the optimal pump capacity by considering both energy efficiency and load shifting requirements. The second stage is to develop a flexible pump controlling strategy that combines and balances the contributions from energy efficiency and load shifting. The last stage is to improve the robustness of the control system using the closed-loop model predictive control approach.An optimal pump capacity selection model is formulated. In this model, additional capacity requirements for load shifting are considered along with the traditional energy i efficiency requirements. By balancing the contributions from load shifting and energy efficiency, the operational energy cost can be reduced by up to 37%.An optimal pump control is formulated. The objective of this control model is to balance the energy efficiency and load shifting contributions during the operation and minimize the operational energy cost. This control model is tested under different operational conditions and it is compared to other existing control strategies. The simulation and comparison results show that the proposed control strategy achieves the lowest operational energy cost in comparison to other strategies.This optimal pump control model is further modified into the closed-loop model predictive control format to increase the robustness of the control system under operation uncertainties.A mixed integer particle swarm optimization algorithms is employed to solve the optimization problems in this research. Hierdie verhandeling bied 'n verbeterde oplossing vir die operasionele doeltreffendheid van pompstelsels wat die optimale keuse en beheer van die waterpomp insluit. Hierdie oplossing is geformuleer op 'n raamwerk wat werkverrigting, bedryf, toerusting en tegnologie in ag neem. Die oplossing fokus op die vermindering van bedryfsenergie koste. Hierdie oplossing is onderverdeel in drie fases soos bepaal deur die bedryfskategorie gegrond op die bogenoemde raamwerk: Die eerste fase is die keuse van die optimale pompkapasiteit deur beide energiedoeltreffendheid en lasverskuiwing in ag te neem. Die tweede fase is om 'n buigbare pompbeheer strategie te ontwikkel wat 'n goeie balans handhaaf tussen die onderskeie bydraes van energiedoeltreffendheid en lasverskuiwing.iii Die derde fase is om die stabiliteit van die beheerstelsel te verbeter deur gebruik te maak van 'n geslote-lus behee...

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“…This nexus refers to the fact that water and energy are basic needs with similar demands and, consequently, should have an integrated base-management. Even though these are some of the essential goods in modern societies, few authors have presented globalscale water and energy foot-printing analyses (Vieira and Ramos, 2008;Hoekstra et al, 2009;Ramos et al, 2011) being traditionally managed independently (Beaulieu, 2010;Lindström and Granit, 2012;Howe and Mitchell, 2012).…”

Section: Introductionmentioning

confidence: 99%

Energy recovery in SUDS towards smart water grids: A case study

et al. 2013

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An innovative solution for Sustainable Urban Drainage Systems (SUDS).Use of retention ponds to reduce risks of urban flooding while producing energy. Use of recently developed hydropower converters for low heads. Solution to be integrated in future smart water networks for increasing efficiency. Water and energy nexus for sustainable operation towards future smart cities. a r t i c l e i n f o a b s t r a c tThe development of a methodology for urban flood adaptation and energy recovery solutions is resting on the concept of Sustainable Urban Drainage Systems (SUDS) as a measure to reduce risks of urban flooding while fully utilizing the available resources. Flood drainage systems are infrastructures essential in urban areas, which include retention ponds that can be used as water storage volumes to damp floods and simultaneously to produce energy, constituting innovative solutions to be integrated in future smart water grid′s designs.The consideration of urban flooding as a problem caused by excess water that can be harvested and reused is expected to provide a comprehensive representation of a water-energy nexus for future urban areas. The study comprises an optimization of energy recovery in SUDS of a small district area of Lisbon down-town through the use of a low-head hydropower converter.The status-quo solution based on a basin catchment for the average expected runoff is analysed, with influence of the tidal backwater effect of the Atlantic Ocean which causes difficulties to the drainage of excess flow. The methodology used to reach the flow damping and the optimized solution for energy production is presented.

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Hybrid solution and pump-storage optimization in water supply system efficiency: A case study

Cited by 70 publications

References 1 publication

Simulated Annealing in Optimization of Energy Production in a Water Supply Network

Simulated Annealing in Optimization of Energy Production in a Water Supply Network

Optimal sizing and operation of pumping systems to achieve energy efficiency and load shifting

Energy recovery in SUDS towards smart water grids: A case study

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