A novel robust optimization approach for an integrated municipal water distribution system design under uncertainty: A case study of Mashhad

Ghelichi, Zabih; Tajik, Javad; Pishvaee, Mir Saman

doi:10.1016/j.compchemeng.2017.11.017

Cited by 41 publications

(10 citation statements)

References 49 publications

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“…Another study [39] presented a review on the application of hybrid evolutionary algorithms in designing optimal water reservoirs. Studies [40], [41] have also developed multi-objective optimization problems for water distribution planning. Others [41] applied a two-stage stochastic programming to capture demand uncertainties.…”

Section: Methodsmentioning

confidence: 99%

The economic synergies of modelling the renewable energy-water nexus towards sustainability

2020

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Section: Methodsmentioning

confidence: 99%

The economic synergies of modelling the renewable energy-water nexus towards sustainability

2020

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“…Similarly, system analysis techniques have been case-study driven, geography-specific, rather than generic methodologies that are generally applicable. Some works have studied the water impact of natural gas production, the water-intensity of thermal power plants [1,2,[53][54][55][56], and the optimization of water pumps [57][58][59][60][61][62]. An interesting group of these system analysis techniques are those that co-optimize energy and water resources [63][64][65][66][67][68][69][70][71][72].…”

Section: Literature Gapmentioning

confidence: 99%

An enterprise control methodology for the techno-economic assessment of the energy water nexus

Muhanji

Farid

2020

Applied Energy

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In recent years, the energy-water nexus literature has recognized that the electricity and water infrastructure that enable the production, distribution, and consumption of these two precious commodities is fundamentally intertwined.Electric power is used to produce, treat, distribute, and recycle water while water is used to generate and consume electricity. In the meantime, significant attention has been given to renewable energy integration within the context of global climate change. While these two issues may seem unrelated, their resolution is potentially synergistic in that renewable energy technologies not only present low CO 2 emissions but also low water-intensities. Furthermore, because water is readily stored, it has the potential to act as a flexible energy resource on both the supply as well as the demand-side of the electricity grid. Despite these synergies, the renewable energy integration and energy-water nexus literature have yet to methodologically converge to systematically address potential synergies. This paper advances an enterprise control methodology as a means of assessing the techno-economic performance of the energy water nexus.The enterprise control methodology has been developed in recent years to advance the methodological state of the art of renewable energy integration studies and used recently to carry out a full-scale study for the Independent System Operator (ISO) New England system. The methodology quantifies day-ahead and real-time energy market production costs, dispatched energy mixes, required operating reserves, levels of curtailment, and grid imbalances. This energywater nexus methodological extension now includes flexible water-energy resources within the grid's energy resource portfolio and quantifies the amounts of water withdrawn and consumed. The simulation methodology is demonstrated on a modified version of the RTS-96 (RTS-GMLC) test case.

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“…using "multi-period mixed integer linear programming" to find cost-efficient solutions and meet both potable and non-potable consumer needs (Ghelichi et al 2018). A successful, large-scale instance of multi-period mixed integer linear programming in a water distribution system is found in Kuwait where the model was applied to energy and water co-generation (Alqattan 2014).…”

Section: Introductionmentioning

confidence: 99%

A Decision Support System to Enhance Electricity Grid Resilience against Flooding Disasters

Tavakol-Davani

Violante

Manshadi

2022

Preprint

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In different areas across the U.S., there are utility poles and other critical infrastructure that are vulnerable to flooding damage. The goal of this multidisciplinary research is to assess and minimize the probability of utility pole failure through conventional hydrological, hydrostatic, and geotechnical calculations embedded to a unique mixed-integer linear programming (MILP) optimization framework. Once the flow rates that cause utility pole overturn are determined, the most cost-efficient subterranean pipe network configuration can be created that will allow for flood waters to be redirected from vulnerable infrastructure elements. The optimization framework was simulated using the Julia scientific programming language, for which the JuMP interface and Gurobi solver package were employed to solve a minimum cost network flow objective function given the numerous decision variables and constraints across the network. We implemented our optimization framework in three different watersheds across the U.S. These watersheds are located near Whittier, NC; Leadville, CO; and London, AR. The implementation of a minimum cost network flow optimization model within these watersheds produced results demonstrating that the necessary amount of flood waters could be conveyed away from utility poles to prevent failure by flooding.

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A novel robust optimization approach for an integrated municipal water distribution system design under uncertainty: A case study of Mashhad

Cited by 41 publications

References 49 publications

The economic synergies of modelling the renewable energy-water nexus towards sustainability

The economic synergies of modelling the renewable energy-water nexus towards sustainability

An enterprise control methodology for the techno-economic assessment of the energy water nexus

A Decision Support System to Enhance Electricity Grid Resilience against Flooding Disasters

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