Minimization of Water Losses in WDS through the Optimal Location of Valves and Turbines: A Comparison between Methodologies

Tapia, José Miguel Rodríguez; Salcedo, Camilo; Saldarriaga, Juan

doi:10.1061/9780784482353.041

Cited by 7 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, since the purchase of a PAT and its generator can be accounted as 26% of the total cost of the installation on average according to García et al. (2019), the cost

{c}_{k}^{T}

in Equation has been divided by 0.26 in order to achieve a quite real estimation of the total cost related to the device installation.…”

Section: The Two‐step Optimization Proceduresmentioning

confidence: 99%

“…Tricarico et al (2018) also addressed the problem of a fixed number of PATs within water distribution network using genetic algorithm, and real machines were considered by selecting a wide set of PAT characteristic curves. García et al (2019) searched for the optimal location of PATs within water distribution networks using a multi-objective approach with the aim of minimizing the unperceived profits due to water leakage, as well as maximizing the energy production. Several characteristic curves were considered in order to evaluate different machines.…”

Section: Optimal Location Of Turbines In Water Systemsmentioning

confidence: 99%

“…García et al. (2019) searched for the optimal location of PATs within water distribution networks using a multi‐objective approach with the aim of minimizing the unperceived profits due to water leakage, as well as maximizing the energy production. Several characteristic curves were considered in order to evaluate different machines.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Exploring the Optimal Location of Pumps as Turbines Within Branched Irrigation Networks by Global Optimization

Morani

Chacón

Morillo

et al. 2023

Water Resources Research

View full text Add to dashboard Cite

In this study a new procedure to address the optimization of the location and selection of pumps as turbines (PATs) within irrigation networks is presented in order to reduce network pressure and recover energy. The proposed procedure consists of two steps: in the first step the optimization of the location of devices is performed, then the optimal selection and regulation is investigated in the second step. Two new mixed integer non‐linear models have been developed and a global optimization solver has been employed to perform both optimization procedures. The procedure has been tested on a real irrigation network in Spain. The entire 2015 irrigation season has been used to properly model the water demand within the system. According to the results, the optimal solution consists of 5 PATs, installed in the middle region of the system. The investment cost has been estimated as 169,278 € with a payback period of almost 4.2 irrigation seasons. According to the solution, the effective amount of produced energy is equal to 289 MWh if the system is properly regulated and the pressure exceeding the minimum requirements is exploited to produce energy. Compared to other studies in literature focused on irrigated agriculture, the number of PATs is not fixed but rather it results from the maximization of the energy recovery and the minimization of capital costs, simultaneously. Moreover, the proposed procedure relies on a deterministic approach, achieving promising results in terms of accuracy.

show abstract

“…Moreover, since the purchase of a PAT and its generator can be accounted as 26% of the total cost of the installation on average according to García et al. (2019), the cost

{c}_{k}^{T}

in Equation has been divided by 0.26 in order to achieve a quite real estimation of the total cost related to the device installation.…”

Section: The Two‐step Optimization Proceduresmentioning

confidence: 99%

Section: Optimal Location Of Turbines In Water Systemsmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the Optimal Location of Pumps as Turbines Within Branched Irrigation Networks by Global Optimization

Morani

Chacón

Morillo

et al. 2023

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…In order to evaluate the annual income resulting from the energy production, an energy unit selling price equal to 0.1 €/kWh was assumed. With regard to the cost of the valve, the model cost suggested by Garcia et al (2019) [49] was adopted, according to which the total cost of PRVs is dependent on pipe diameter (Figure 12): With reference to the total cost of the turbines, since the analyzed turbine is a prototype, a function to properly model its cost is not actually available. Hence, in this study, the cost models of both a traditional turbine and a pump as turbine (PAT) (Figure 13) were alternatively used to carry out the optimization, since the effective cost model of the novel turbine is likely to comprise these two cost models.…”

Section: The Objective Functionmentioning

confidence: 99%

Pressure Drop and Energy Recovery with a New Centrifugal Micro-Turbine: Fundamentals and Application in a Real WDN

Morani

Simão

Gazur³

et al. 2022

Energies

View full text Add to dashboard Cite

Water distribution networks need to improve system efficiency. Hydropower is a clean and renewable energy that has been among the key solutions to environmental issues for many decades. As the turbine is the core of hydropower plants, high attention is paid to creating new design solutions and increasing the performance of turbines in order to enhance energy efficiency of leakage by pressure control. Hence, design and performance analysis of a new turbine is a crucial aspect for addressing the efficiency of its application. In this study, computational fluid dynamics (CFD) modeling is coupled with experimental tests in order to investigate the optimal performance of a new centrifugal turbine. The behavior of the flow through the turbine runner is assessed by means of velocity profiles and pressure contours at all components of the machine under different operating conditions. Finally, the turbine geometry is scaled to a real water distribution network and an optimization procedure is performed with the aim of investigating the optimal location of both the designed new centrifugal micro-turbines (CMT) and pressure reducing valves (PRV) in order to control the excess of pressure and produce energy at the same time.

show abstract

“…Specialized committees from the International Water Association (IWA) have suggested that active pressure management plays an important role for leakage control in a WDS [7]. Several researchers and experts have focused on pressure management for reducing leakages in WDSs [8][9][10][11][12]. One of the main objectives of pressure management is the reduction of background leakage, which is difficult to eliminate.…”

Section: Introductionmentioning

confidence: 99%

Nodal Matrix Analysis for Optimal Pressure-Reducing Valve Localization in a Water Distribution System

Gupta¹,

Bokde

Kulat

et al. 2020

Energies

View full text Add to dashboard Cite

The use of pressure-reducing valves is an efficient pressure management technique for leakage reduction in a water distribution system. It is recommended to place an optimized number and location of pressure-reducing valves in the water distribution system for better sustainability and management. A modified reference pressure algorithm is adopted from the literature for identifying the optimized localization of valves using a simplified algorithm. The modified reference pressure algorithm fails to identify the optimal valve localization in a large-scale water pipeline network. Nodal matrix analysis is proposed for further improvement of the modified reference pressure algorithm. The proposed algorithm provides the preferred pipeline for valve location among all the pressure-reducing valve candidate locations obtained from the modified reference algorithm in complex pipeline networks. The proposed algorithm is utilized for pressure management in a real water network located in Piracicaba, Brazil, called Campos do Conde II. It identifies four pipeline locations as optimal valve candidate locations, compared to 22 locations obtained from the modified reference pressure algorithm. Thus, the presented technique led to a better optimal localization of valves, which contributes to better network optimization, sustainability, and management. The results of the current study evidenced that the adoption of the proposed algorithm leads to an overall reduction in water leakages by 20.08% in the water network.

show abstract

Minimization of Water Losses in WDS through the Optimal Location of Valves and Turbines: A Comparison between Methodologies

Cited by 7 publications

References 6 publications

Exploring the Optimal Location of Pumps as Turbines Within Branched Irrigation Networks by Global Optimization

Exploring the Optimal Location of Pumps as Turbines Within Branched Irrigation Networks by Global Optimization

Pressure Drop and Energy Recovery with a New Centrifugal Micro-Turbine: Fundamentals and Application in a Real WDN

Nodal Matrix Analysis for Optimal Pressure-Reducing Valve Localization in a Water Distribution System

Contact Info

Product

Resources

About