Optimizing the operation of the Haifa-A water-distribution network

Salomons, Elad; Goryashko, Alexander; Shamir, Uri; Rao, Z.; Alvisi, Stefano

doi:10.2166/hydro.2006.017

Cited by 68 publications

(43 citation statements)

References 3 publications

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“…While both were anticipated at the model formulation stage, the complexities they induced were not known until later. However, all of these issues have, of necessity, been addressed when applying the control system developed to the two case studies (see Salomons et al 2007;Martinez et al 2007). …”

Section: Resultsmentioning

confidence: 99%

Development of a real-time, near-optimal control process for water-distribution networks

Rao

Salomons

2007

Journal of Hydroinformatics

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This paper presents a new approach for the real-time, near-optimal control of water-distribution networks, which forms an integral part of the POWADIMA research project. The process is based on the combined use of an artificial neural network for predicting the consequences of different control settings and a genetic algorithm for selecting the best combination. By this means, it is possible to find the optimal, or at least near-optimal, pump and valve settings for the present time-step as well as those up to a selected operating horizon, taking account of the short-term demand fluctuations, the electricity tariff structure and operational constraints such as minimum delivery pressures, etc. Thereafter, the near-optimal control settings for the present time-step are implemented. Having grounded any discrepancies between the previously predicted and measured storage levels at the next update of the monitoring facilities, the whole process is repeated on a rolling basis and a new operating strategy is computed. Contingency measures for dealing with pump failures, pipe bursts, etc., have also been included. The novelty of this approach is illustrated by the application to a small, hypothetical network. Its relevance to real networks is discussed in the subsequent papers on case studies.

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Section: Resultsmentioning

confidence: 99%

Development of a real-time, near-optimal control process for water-distribution networks

Rao

Salomons

2007

Journal of Hydroinformatics

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“…x c x c c P (13) where c0 … c9 are the coefficients of the objective function depending on the parameters a, b, α, β, r0, q0, and L as shown in [38]. The minimum of the objective Equation (13) is evaluated using an interpolation numerical method, based on a searching algorithm with an accelerated step coupled with square interpolation (modified Broyden-Fletcher-Goldfarb-Shann general method) [39], which were implemented in a computer program.…”

Section: Pumped Storage Tanksmentioning

confidence: 99%

“…In most cases, optimisation of operations has only considered fixed speed pumps and the cost savings that may be obtained by exploiting a multi-pattern electric tariff [11][12][13][14][15]. Pump and motor upgrades to more efficient solutions, either being technologically more advanced or because they are more properly adjusted to the system, often allow significant energy savings [2].…”

Section: Introductionmentioning

confidence: 99%

A Study of Energy Optimisation of Urban Water Distribution Systems Using Potential Elements

Sârbu

2016

Water

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Energy use in water supply systems represents a significant portion of the global energy consumption. The electricity consumption due to the water pumping represents the highest proportion of the energy costs in these systems. This paper presents several comparative studies of energy efficiency in water distribution systems considering distinct configurations of the networks and also considers implementation of the variable-speed pumps. The main objective of this study is the energy optimisation of urban systems using optimal network configurations that reduce energy consumption and improve energy efficiency. The paper describes in detail four strategies for improving energy efficiency of water pumping: control systems to vary pump speed drive according to water demand, pumped storage tanks, intermediary pumping stations integrated in the network, and elevated storage tanks floating on the system. The improving energy efficiency of water pumping is briefly reviewed providing a representative real case study. In addition, a different approach for the hydraulic analysis of the networks and the determination of the optimal location of a pumped storage tank is provided. Finally, this study compares the results of the application of four water supply strategies to a real case in Romania. The results indicate high potential operating costs savings.

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“…Evolutionary algorithms are the most generic search methods and they work efficiently if a simulator of the considered system is available. The simulator can be called tens of thousands of times during the search and in order to reduce the calculation time simplified simulation models are employed, such approach was used for instance by Salomons et al (2007) and is used by Darwin Scheduler from Bentley Systems (2014). The approach presented by Derceto Aquadapt from Derceto (2014) relies on preparing a highly specialised model of the considered system which is solved using linear and non-linear programming combined with advanced heuristics, the technical details about the algorithm are not available in the literature.…”

Section: Introductionmentioning

confidence: 99%

Pump schedules optimisation with pressure aspects in complex large-scale water distribution systems

Skworcow

Paluszczyszyn

Ulanicki

2014

Drink. Water Eng. Sci.

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Abstract. This paper considers optimisation of pump and valve schedules in complex large-scale water distribution networks (WDN), taking into account pressure aspects such as minimum service pressure and pressuredependent leakage. An optimisation model is automatically generated in the GAMS language from a hydraulic model in the EPANET format and from additional files describing operational constraints, electricity tariffs and pump station configurations. The paper describes in details how each hydraulic component is modelled. To reduce the size of the optimisation problem the full hydraulic model is simplified using module reduction algorithm, while retaining the nonlinear characteristics of the model. Subsequently, a nonlinear programming solver CONOPT is used to solve the optimisation model, which is in the form of Nonlinear Programming with Discontinuous Derivatives (DNLP). The results produced by CONOPT are processed further by heuristic algorithms to generate integer solution. The proposed approached was tested on a large-scale WDN model provided in the EPANET format. The considered WDN included complex structures and interactions between pump stations. Solving of several scenarios considering different horizons, time steps, operational constraints, demand levels and topological changes demonstrated ability of the approach to automatically generate and solve optimisation problems for a variety of requirements.

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Optimizing the operation of the Haifa-A water-distribution network

Cited by 68 publications

References 3 publications

Development of a real-time, near-optimal control process for water-distribution networks

Development of a real-time, near-optimal control process for water-distribution networks

A Study of Energy Optimisation of Urban Water Distribution Systems Using Potential Elements

Pump schedules optimisation with pressure aspects in complex large-scale water distribution systems

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