A multi expert decision support tool for the evaluation of advanced wastewater treatment trains: A novel approach to improve urban sustainability

Sadr, Seyed M. K.; Saroj, Devendra; Mierzwa, José Carlos; McGrane, Scott J.; Skouteris, George; Farmani, Raziyeh; Kazos, Xenofon; Aumeier, Benedikt M.; Kouchaki, Samaneh; Ouki, Sabeha K.

doi:10.1016/j.envsci.2018.09.006

Cited by 25 publications

(12 citation statements)

References 41 publications

(56 reference statements)

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“…Multi-Criteria Decision Analysis (MCDA) is a decision making method which can be used to make a comparative assessment of alternatives based on multiple evaluation criteria [30]. MCDA is a method for resolving decision problems with many alternatives, which are evaluated based on user weighted criteria [31,37]. A large (growing) number of MCDA methods have been developed.…”

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

“…Figure 2b also shows the contribution of each criterion to the performance of different technology combinations, where each color is assigned for a criterion. If a technology receives high contributions from all or most criteria, it is most likely to perform well in that scenario and vice versa [31]. Furthermore, the effect of the weightings on the groups can be seen from this.…”

Section: Evaluation Of Centralized Drinking Water Treatment Trains VImentioning

confidence: 99%

“…However, the main drawback of this tool was related to the process of generating treatment trains, which was very time consuming and required users' experience and familiarity with treatment processes. In addition to the above, Joksimovic et al [23], Bottero et al [24], Adewumi [25], Kalbar et al [26,27], Loo et al [28], Garrido-Baserba et al [29], and Sadr et al [30][31][32] developed decision support tools in different contexts. The most recent decision support tool developed is called "Poseidon" [33]; the tool considers over 30 processes and 12 water quality parameters.…”

Section: Introductionmentioning

confidence: 99%

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Development and Application of a Multi-Objective-Optimization and Multi-Criteria-Based Decision Support Tool for Selecting Optimal Water Treatment Technologies in India

Sadr

Johns

Memon

et al. 2020

Water

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Despite considerable efforts to improve water management, India is becoming increasingly water stressed due to multiple factors, including climate change, increasing population, and urbanization. We address one of the most challenging problems in the design of water treatment plants: how to select a suitable technology for a specific scenario or context. The process of decision making first requires the identification of feasible treatment configurations based on various objectives and criteria. In addition, the multiplicity of water quality parameters and design variables adds further complexity to the process. In this study, we propose a novel Decision Support Tool (DST), designed to address and support the above challenges. In this user-friendly tool, both Multi-Criteria Decision Analysis (MCDA) and Multi-Objective Optimization (MOO) methods are employed. The integration of MCDA with MOO facilitates the generation of feasible drinking water treatment solutions, identifies optimal options, and ultimately, improves the process of decision making. This implemented approach has been tested for different contexts, including for different types of raw water sources and system implementation scales. The results show that this tool can enhance the process of decision making, supporting the user (e.g., stakeholders and decision makers) to implement the most suitable water treatment systems, keeping in view the trade-offs.

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Section: Multi-criteria Decision Analysismentioning

confidence: 99%

Section: Evaluation Of Centralized Drinking Water Treatment Trains VImentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development and Application of a Multi-Objective-Optimization and Multi-Criteria-Based Decision Support Tool for Selecting Optimal Water Treatment Technologies in India

Sadr

Johns

Memon

et al. 2020

Water

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“…In conventional development of membrane process plants, the modification of membranes and the design of membrane processes are decoupled [1]. On the one hand, process design of water treatment plants uses numerical optimization methods to find the right connectivity of membranes, pumps, and mixers [2][3][4][5][6][7][8][9][10][11]. On the other hand, recent developments in membrane science deliver better performance, balancing the delicate trade-off between permeability and selectivity in membrane design [1,12] by changing the material systems, using composite membranes or modifying the membrane surface [13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous rational design of ion separation membranes and processes

Rall

Schweidtmann

Aumeier

et al. 2020

Journal of Membrane Science

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Economically viable water treatment process plants for drinking water purification are a prerequisite for sustainable supply of safe drinking water in the future. However, modern membrane process development experiences a disconnect in this domain: the synthesis of the membrane and the design of the process are decoupled. We propose an optimization strategy to simultaneously design the performance of layer-by-layer nanofiltration membrane modules and the separation process. This approach achieves overall optimal performance by extending the search space and thus exploiting synergies. Better separation performances at a lower cost as compared to conventional optimization strategies can be achieved. The key feature of this optimization framework is the integration of artificial neural networks. This machine-learning technique describes membrane performance as a function of its synthesis protocol. We optimize the design problem rigorously by a deterministic global nonlinear optimization method. Thus, this framework yields membrane synthesis protocols and membrane processes that are optimally tailored to the desired separation task. In a showcase, the simultaneous membrane synthesis and process optimization design achieve immediately favorable results with lower impurities at comparable costs. The process investment and operation costs are compared to a state of the art commercially available membrane for nanofiltration.

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“…Researchers have developed decision support systems using different MCDM techniques such as fuzzy logic, TOPSIS and AHP for evaluation and selection of treatment trains for wastewater reuse based on local conditions, cultural, economic, technological or social issues (Dinesh and Dandy, 2003; Hidalgo et al ., 2007; Avramenko et al ., 2010; Sadr et al , 2018). A Multi‐criteria decision analysis (MCDA) was applied to find reuse applications for the treated wastewater and sludge in Greece considering various spatial, technological, environmental, social and economic criteria.…”

Section: Introductionmentioning

confidence: 99%

Multi‐criteria analysis to identify the factors affecting water reuse scheme in India

Goyal

Kumar

2020

Water & Environment J

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The growing interest in alternative water supplies is impelling societies, government bodies and industries throughout the world to conduct research and discuss the feasibility of reuse of treated wastewater. Treated wastewater has emerged as an affordable source of water supply worldwide. Designing of wastewater reuse systems involves consideration of multiple criteria such as technical, social, economic, environmental, legal as well as multiple stakeholders. The objective of the present study is to develop a multi‐criteria decision‐making (MCDM) approach using Analytical Hierarchical Process (AHP) for the selection of significant criteria and sub‐criteria governing the planning and execution of water reuse systems considering the local conditions and end users. The weightage of the individual parameters is obtained. The results indicate that the weightage of different criteria varies for different stakeholders. The analysis may help in developing a holistic approach for reuse of treated wastewater inducing improved decision‐making at authoritative levels.

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A multi expert decision support tool for the evaluation of advanced wastewater treatment trains: A novel approach to improve urban sustainability

Abstract: Wastewater Treatment (WWT) for water reuse applications has been accepted as a strategic solution in improving water supplies across the globe; however, there are still various challenges that should be overcome. Selection of practical solutions is then

Cited by 25 publications

References 41 publications

Development and Application of a Multi-Objective-Optimization and Multi-Criteria-Based Decision Support Tool for Selecting Optimal Water Treatment Technologies in India

Development and Application of a Multi-Objective-Optimization and Multi-Criteria-Based Decision Support Tool for Selecting Optimal Water Treatment Technologies in India

Simultaneous rational design of ion separation membranes and processes

Multi‐criteria analysis to identify the factors affecting water reuse scheme in India

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