Optimal design of water treatment processes

Koleva, Mariya; Polykarpou, Eleftheria M.; Liu, Songsong; Styan, Craig A.; Papageorgiou, Lazaros G.

doi:10.1080/19443994.2016.1173595

Cited by 9 publications

(8 citation statements)

References 59 publications

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“…This work presents a superstructure optimisation approach for the synthesis of water and water -related treatment processes. The current paper extends the work by Koleva et al (2016) efficiencies.…”

Section: 1951 2014supporting

confidence: 69%

“…In some of those works, synthesis and optimisation of wastewater treatment with single and multiple contaminants have been proposed (Tsiakis & Papageorgiou, 2005;Skiborowski et al, 2012;Gabriel et al, 2015; Skiborowski et al (2012); Gabriel et al (2015); González-Bravo et al (2015b) chemical and biochemical Khor et al (2012); Sueviriyapan et al (2016); Koleva et al (2016) novel method for the design of shale gas supply chain with wastewater management where total dissolved solids are considered.…”

Section: 1951 2014mentioning

confidence: 99%

“…The costs have been converted to SI units and the inflation has been accounted for. Additional performance Lu et al (2006); Bastaki (2004); Hassan et al (1999); Adham et al (2006);European Commission (2003); Wang et al (2010); Whitman et al (2002); University of New Hampshire (2016); Mallevialle et al (1996); Contra Costa Water District et al (2007); FilterWater (2016); US Inflation Calculator 2016and costing parameters for models can be found in Table 5 and the remaining of the data are reported elsewhere (Koleva et al, 2016). It must be noted that in Table 5, the replacement cost, rc M t , for MMF and the membrane technologies differs significantly as the former is the cost per cubic metres media while the latter is the cost per filtrate produced.…”

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confidence: 99%

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Optimisation approaches for the synthesis of water treatment plants

Koleva

Styan

Papageorgiou

2017

Computers & Chemical Engineering

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Efficient water treatment design has progressively been growing in importance as the usage of water resources increases with population rise and industrial development. Their availability has been reduced with the more evident effects of climate change. Addressing this challenge necessitates more and efficient purification plants which can be realised by optimal design at conceptual stage. In this work, a mixed integer nonlinear programming (MINLP) model for the synthesis and optimisation of water treatment processes is proposed. Due to its numerous non-linearities and consequently, its non-stability, various linearisation, approximation and reformulation techniques have been implemented. Consequently, two improved formulations are derived, i.e. a partially linearised MINLP (plMINLP) and a mixed integer linear fractional programming (MILFP) models. The applicability of the mathematical formulations are investigated in case studies of seawater desalination and surface water treatment for the production of potable water. Finally, the models performance is analysed and compared against each other.

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Section: 1951 2014supporting

confidence: 69%

Section: 1951 2014mentioning

confidence: 99%

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confidence: 99%

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Optimisation approaches for the synthesis of water treatment plants

Koleva

Styan

Papageorgiou

2017

Computers & Chemical Engineering

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“…Water management encompasses fresh water procurement as well as flowback and produced water (wastewater) disposal or treatment for re-use, recycle, or discharge [68,89]. Re-use generally involves treatment of the waste water to remove total suspended…”

Section: Regional and Local Context 221 Regional Water-energy Nexusmentioning

confidence: 99%

Disclosing water-energy-economics nexus in shale gas development

et al. 2018

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Shale gas has gained importance in the energy landscape in recent decades. However, its development has raised environmental concerns, especially, those associated with water management. Thus, the assessment of water management aspects which inevitably impact the economic aspects, is crucial in evaluating the merits of any project exploiting this energy source. This paper provides a review of the economic and environmental implications of shale gas development around the world. Furthermore, to demonstrate the interplay between the various technical, environmental and economic factors in concrete terms, we report on a specific set of case studies conducted using an integrated decisionsupport tool that has been implemented to model and optimize shale gas development projects. The case study results confirm that the gas breakeven price decreases with expansion in scale of the shale gas development, i.e. increasing the number of well-pads in the system. However, scale also increases the options for water re-use and recycle in drilling and fracturing operations, which can result in lower freshwater withdrawal intensity. Moreover, under water scarcity scenarios, the choice of well-pad designs that are 2 inherently less water intensive was found to be more cost-effective than water re-use or/and recycle strategies at reducing net freshwater demand. Similar trends were observed when the impact of wastewater quality, i.e. total dissolved solids concentration, on the optimal development strategy of shale gas plays was investigated. The results of these case studies reveal that greater efforts are needed at characterizing freshwater availability and wastewater quality for the evaluation of both the economic and environmental aspects of shale gas development.

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“…Ray et al [2010] addressed the issue through a linear programming model for the minimum cost configuration of future water supply, wastewater disposal, and reuse options for the city of Beirut. Koleva et al [2016Koleva et al [ , 2017 proposed linear and non-linear programming models for the optimal design of water and water-related treatment processes. Li et al [2009] developed a multi-stream, multi-reservoir and multi-period mixed integer linear programming (MILP) model that was integrated into an inexact multistage joint-probabilistic programming to investigate the decision under uncertainty and surplus-flow diversions.…”

Section: Introductionmentioning

confidence: 99%

Integration of environmental aspects in modelling and optimisation of water supply chains

Koleva

Calderón

Zhang

et al. 2018

Science of The Total Environment

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Climate change becomes increasingly more relevant in the context of water systems planning. Tools are necessary to provide the most economic investment option considering the reliability of the infrastructure from technical and environmental perspectives. Accordingly, in this work, an optimisation approach, formulated as a spatially-explicit multi-period Mixed Integer Linear Programming (MILP) model, is proposed for the design of water supply chains at regional and national scales. The optimisation framework encompasses decisions such as installation of new purification plants, capacity expansion, and raw water trading schemes. The objective is to minimise the total cost incurring from capital and operating expenditures. Assessment of available resources for withdrawal is performed based on hydrological balances, governmental rules and sustainable limits. In the light of the increasing importance of reliability of water supply, a second objective, seeking to maximise the reliability of the supply chains, is introduced. The epsilon-constraint method is used as a solution procedure for the multi-objective formulation. Nash bargaining approach is applied to investigate the fair trade-offs between the two objectives and find the Pareto optimality. The models' capability is addressed through a case study based on Australia. The impact of variability in key input parameters is tackled through the implementation of a rigorous global sensitivity analysis (GSA). The findings suggest that variations in water demand can be more disruptive for the water supply chain than scenarios in which rainfalls are reduced. The frameworks can facilitate governmental multi-aspect decision making processes for the adequate and strategic investments of regional water supply infrastructure.

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Optimal design of water treatment processes

Cited by 9 publications

References 59 publications

Optimisation approaches for the synthesis of water treatment plants

Optimisation approaches for the synthesis of water treatment plants

Disclosing water-energy-economics nexus in shale gas development

Integration of environmental aspects in modelling and optimisation of water supply chains

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