Comparison of Pumping Regimes for Water Distribution Systems to Minimize Cost and Greenhouse Gases

Abstract

A single-objective optimization model has been developed for water distribution system (WDS) pumping operations, considering five different types of pump operating regimes. These regimes use tank trigger levels, scheduling and a combination of both to control pumps. A new toolkit development to alter rule-based controls in EPANET has allowed more complex pump operating regimes than have previously been considered to be optimized. The performance of each of the regimes is compared with respect to two different objectives; cost and greenhouse gas (GHG) emissions, which were optimized separately to allow the comparison of regimes to be made more clearly. Two case study networks, including one that represents a segment of the South Australian WDS, illustrate the effectiveness of the model. Time-based scheduling operating strategies were found to perform better than the other types of pump operating regimes.Significant cost savings were achieved for the South Australian case study network compared to its current operation.

Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs

“…where the result N B,i is rounded up to the next integer. Finally, the number of VSPs (n i ) can be determined using Equation (8). There must always be at least one VSP.…”

“…This control system is responsible for adjusting the amount of water pumped according to public demand at every moment [8]. Different approaches for improving PS performance in WDNs have been explored [1,9,10].…”

Development of a decision support system for the maintenance of water distribution network

“…Blinco ve diğ. [8] yaptıkları çalışmada, su dağıtım sistemlerinde farklı pompa işletme rejim tipleri için en uygun pompa işletme çalışmasının belirlenmesi amacıyla optimizasyon yöntemi olan Genetik Algoritmayı uygulamıştır. González Perea ve diğ.…”

Minimizing Pumping Energy Cost in Real-Time Operations of Water Distribution Systems Using Economic Model Predictive Control

“…Early studies on WDS operation optimization focused on deterministic approaches, such as dynamic programming (DP) (Sterling and Coulbeck 1975), linear programming (LP) (Giacomello et al 2013;Kurian et al 2018), nonlinear programming (NLP) (Brion and Mays 1991;Ormsbee and Reddy 1995), and mixed integer non-linear programming (MINLP) (Biscos et al 2003;Bagirov et al 2013). Recently, meta-heuristic algorithms, such as genetic algorithms (Paschke et al 2001;Kazantzis et al 2002;van Zyl et al 2004;Wang et al 2009;Wu et al 2010;Wu et al 2012a;Wu et al 2012b;Blinco et al 2016), simulated annealing (da Conceição Cunha and Sousa 1999; Goldman and Mays 1999), particle swarm optimization (Wegley et al 2000), and ant colony optimization (Ostfeld and Tubaltzev 2008;López-Ibáñez et al 2008)…”