Performance analysis of a counter flow wet cooling tower and selection of optimum operative condition by MCDM-TOPSIS method

Keshtkar, Mohammad Mehdi

doi:10.1016/j.applthermaleng.2016.12.043

Cited by 26 publications

(12 citation statements)

References 12 publications

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“…Based on a previous practice [42], the calculation steps of the classic TOPSIS process are listed in Figure 4.…”

Section: Methodsmentioning

confidence: 99%

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Implementation of an Expanded Decision-Making Technique to Comment on Sweden Readiness for Digital Tourism

Sorooshian

2021

Systems

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Tourism provides many advantages for Sweden and the whole world, as well as its travelers. Since almost all types of tourism are currently in crisis as a result of the current COVID-19 pandemic, information and communication technology is expected to play a role, not only during the crisis but also in the post-COVID-19 era. Thus, with no expectations from types of tourism, Sweden needs to broaden its digital tours. As a result, this letter aims to classify the transition readiness of industry clusters for this digitalization move. An extended version of the TOPSIS technique was formulated and validated, plus a new framework for measuring digitalization readiness for this purpose. Lastly, analysis of the collected data proves that business tourism could lead the change, though adventure and rural tourism are at the farthest point from being considered ready to change.

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“…Based on a previous practice [42], the calculation steps of the classic TOPSIS process are listed in Figure 4.…”

Section: Methodsmentioning

confidence: 99%

“…Based on a previous practice [42], the calculation steps of the classic TOPSIS process are listed in Figure 4. To utilize TOPSIS and due to a lack of literature and the novelty of the COVID-19 situation, primary data were required for this study.…”

Section: Methodsmentioning

confidence: 99%

Implementation of an Expanded Decision-Making Technique to Comment on Sweden Readiness for Digital Tourism

Sorooshian

2021

Systems

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“… Arıkan et al, 2017 ; Awasthi et al, 2011 ; Bellman and Zadeh, 1970 ; Brans and Vincke, 1985 ; Chauhan and Singh, 2016 ; Chen, 2000 ; Ding and Zeng, 2015 ; Girubha and Vinodh, 2012 ; Gupta and Barua, 2017 ; Hauri et al, 2004 ; AuthorAnonymous, 2012 ; Kang and Park, 2014 ; Kang et al, 2016 ; Kannan et al, 2009 ; Keshtkar, 2017 ; Kim and Chung, 2013 ; Kuo and Liang, 2011 ; Li and Zhao, 2016 ; Liu et al, 2013 ; Liu et al, 2012 ; Liu et al, 2013 ; Liu et al, 2015 ; Mohsen and Fereshteh, 2017 ; Moreira and Günther, 2013 ; MUNDIAL, 1999 ; Onat et al, 2016 ; Opricovic, 2011 ; Opricovic and Tzeng, 2004 ; Perçin, 2017 ; Qin et al, 2008 ; Rostamzadeh et al, 2014 ; Roy, 1968 ; Sakthivel et al, 2017 ; Sanayei et al, 2010 ; Senvar et al, 2016 ; Shemshadi et al, 2011 ; Shen et al, 2013 ; Sindhu et al, 2017 ; Singh and Benyoucef, 2011 ; Soner et al, 2017 ; Torlak et al, 2011 ; Yang et al, 2015 ; Yücenur and Demirel, 2012 .…”

Section: Uncited Referencesmentioning

confidence: 99%

Selection of the best healthcare waste disposal techniques during and post COVID-19 pandemic era

Manupati

Ramkumar

Baba

et al. 2021

Journal of Cleaner Production

100

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In recent years, municipal authorities especially in the developing nations are battling to select the best health care waste (HCW) disposal technique for the effective treatment of the medical wastes during and post COVID-19 era. As evaluation of various disposal alternatives of HCW and selection of the best technique requires considering various tangible and intangible criteria, this can be framed as multi-criteria decision-making (MCDM) problem. In this paper, we propose an assessment framework for the selection of the best HCW disposal technique based on socio-technical and triple bottom line perspectives. We have identified 10 criteria on which the best HCW disposal techniques to be selected based on extant literature review. Next, we use Fuzzy VIKOR method to evaluate 9 HCW disposal alternatives. The effectiveness of the proposed framework has been demonstrated with a real-life case study in Indian context. To check the robustness of the proposed methodology, we have compared the results obtained with Fuzzy TOPSIS (Technique of Order Preference Similarity to the Ideal Solution). The results help the municipal authorities to establish a methodical approach to choose the best HCW disposal techniques. Our findings indicate that incineration is the best waste disposal technique among the available alternatives. Even if the dataset indicates 'incineration' is the best method, we must not forget about the environmental concerns arising from this method. In COVID time, incineration may be the best method as indicated by the data analysis, but "COVID" should not be an excuse for causing "Environmental Pollution".

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“…The optimized answers were chosen from the results using three decision-making methods. There are some other works in the literature that studied the optimization of thermal systems [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of a R744/R134a Cascade Refrigeration System: Exergetic, Economic, Environmental, and Sensitive Analysis (3es)

Keshtkar¹

2019

Journal of Thermal Engineering

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This work presents the optimization of a two stage-cascade refrigeration system (TS-CRS), based on exergetic, economic, environmental, and sensitive analysis (3ES). R134a and R744 are considered as the refrigerants of high and low temperature circuits, respectively. Two single-optimization strategies including exergetic and economic optimizations and a multi-objective optimization are applied on the problem. In the first step, a comprehensive performance evaluation of different effective parameters, based on the genetic algorithm, used to indicate the optimum operative conditions in single objective strategies. In the next step, a multiobjective optimization is performed with considering a decision-making strategy based on the Pareto frontier using TOPSIS method. The higher exergetic efficiency and lower cost found in the exergetic and economic single-optimization, respectively. The multi-objective optimization results demonstrate that, the total system cost and the exergetic efficiency increase 28.6% and 99.5%, respectively, compared to the base design, and 46.6% higher energy can be saved in the compressors.

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Performance analysis of a counter flow wet cooling tower and selection of optimum operative condition by MCDM-TOPSIS method

Cited by 26 publications

References 12 publications

Implementation of an Expanded Decision-Making Technique to Comment on Sweden Readiness for Digital Tourism

Implementation of an Expanded Decision-Making Technique to Comment on Sweden Readiness for Digital Tourism

Selection of the best healthcare waste disposal techniques during and post COVID-19 pandemic era

Multi-Objective Optimization of a R744/R134a Cascade Refrigeration System: Exergetic, Economic, Environmental, and Sensitive Analysis (3es)

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