Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2022, Cilt: 9 Sayı: 4, 207 - 216, 25.12.2022
https://doi.org/10.30897/ijegeo.1221898

Öz

Kaynakça

  • Abrishamchi, A., Ebrahimian, A., Tajrishi, M., Mariño, M.A. (2005). Case study: application of multicriteria decision making to urban water supply. J. water Resour. Plan. Manag. 131, 326–335.
  • Ahmed, F. E., Hashaikeh, R., Hilal, N. (2019). Solar powered desalination- technology, energy and future Outlook. Desalination 453: 54-76.
  • Al-Araidah, O., Hayajneh, M.T., Al-Rwabdah, R.A. (2020). Desalination membrane selection using group fuzzy analytical hierarchy process. Desalin. WATER Treat. 2020, 174, 79–89.
  • Aly, N. H., El-Fiqi, A. K. (2003). Thermal performance of seawater desalination systems. Desalination 158: 127-142.
  • Anqi, A. E., Mohammed, A. A. (2021). Evaluating Critical Influencing Factors of Desalination by Membrane Distillation Process—Using Multi-Criteria Decision-Making. Membranes, 11(3), 164.
  • Badi, I., Ballem, M., Shetwan, A. (2018). Site selection of desalination plant in libya by using combinative distance-based assessment (codas) method. International Journal for Quality Research, 12(3).
  • Behzadian, M., Kazemzadeh, R. B., Albadvi, A., Aghdasi, M. (2010). PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200 (1), 198-215.
  • Benitez, J., Delgado-Galván, X., Izquierdo, J., Pérez-Garcia, R. (2011). Achieving matrix consistency in AHP through linearization. Appl. Math. Model. 35, 4449–4457.
  • Bulut, Ayben Polat. (2021). "Artan Su İhtiyaci İçin Deniz Suyu Kullanimi Ve Aritma Teknolojileri." Türk Bilimsel Derlemeler Dergisi 14, no. 2: 124-137. Burak, S., Doğan, E., Gazioğlu, C. (2004). Impact of urbanization and tourism on coastal environment. Ocean Coast. Manag. 47, 515–527.
  • Cabrera Jr, E., Cobacho, R., Estruch, V., Aznar, J. (2011). Analytical hierarchical process (AHP) as a decision support tool in water resources management. J. Water Supply Res. Technol. 60, 343–351.
  • Chamblás, O., Pradeñas, L.(2018). Multi-criteria optimization for seawater desalination. Tecnol. y Ciencias del Agua, 9, 198–213.
  • Chang, N. B., Wen, C. G., Wu, S. L. (1995). Optimal management of environmental and land resources in a reservoir watershed by multiobjective programming. Journal of environmental management, 44(2), 144-161.
  • Chen, C.-T., Lin, C.-T., Huang, S.-F. (2006). A fuzzy approach for supplier evaluation and selection insupply chain management. Int. J. Prod. Econ. 102, 289–301.
  • Cinar, N., Ahiska, S.S. (2010). A decision support model for bank branch location selection. Int. J. Hum. Soc. Sci. 5, 846–851.
  • Clarivate Analytics. (2022). Web of Science databases. Retrieved November, 2022, from https://clarivate.com/products/web-of science/databases/
  • Compain, P. (2012). Solar energy for water desalination. Procedia Engineering 46: 220-22.
  • Dağdeviren, M. (2008). Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of intelligent manufacturing, 19(4), 397-406.
  • De Marchi, B., Funtowicz, S.O., Cascio, S. Lo, Munda, G. (2000). Combining participative and institutional approaches with multicriteria evaluation. An empirical study for water issues in Troina, Sicily. Ecol. Econ. 34, 267–282.
  • Dube, N. M., Tzoneva, R. (2007). Optimal closed-loop controller design for an ion exchange process used for desalination of water,” IFAC Proceedings Volumes, 40: 970-975.
  • Dweiri, F., Khan, S. A., Almulla, A. (2018). A multi-criteria decision support system to rank sustainable desalination plant location criteria. Desalination, 444, 26-34.
  • Ebrahimian, A., Wadzuk, B., Traver, R. (2019). Evapotranspiration in green stormwater infrastructure systems. Science of the total environment, 688, 797-810.
  • El-Ghonemy, A. M. K. (2018). Performance test of a sea water multi-stagef lash distillation plant: Case study. Alexandria Engineering Journal, 57: 2401-2413.
  • Faridirad, F., Zourmand, Z., Kasiri, N., Moghaddam, M. K., Mohammadi, T. (2014). Modeling of suspension fouling in nanofiltration. Desalination, 346: 80-90.
  • Fattahi, P., Fayyaz, S. (2010). A compromise programming model to integrated urban water management. Water Resour. Manag. 24, 1211–1227.
  • Flug, M., Seitz, H.L.H., Scott, J.F. (2000). Multicriteria decision analysis applied to Glen Canyon Dam. J. Water Resour. Plan. Manag. 126, 270–276.
  • Freitas, A.H.A., Magrini, A. (2013). Multi-criteria decision-making to support sustainable water management in a mining complex in Brazil. J. Clean. Prod. 47, 118–128.
  • Friedman, T. (2022) Climate Change Will Destroy Arabs and Israelis Before They Destroy Each Other. The New York Times. https://www.nytimes.com/2022/12/06/opinion/how-biden-can-help-save-the-middle-east.html
  • Golfam, P., Ashofteh, P.-S., Loáiciga, H.A., (2019a). Evaluation of the VIKOR and FOWA Multi-Criteria Decision Making Methods for Climate-Change Adaptation of Agricultural Water Supply. Water Resour. Manag. 33, 2867–2884.
  • Golfam, P., Ashofteh, P.-S., Rajaee, T., Chu, X. (2019b). Prioritization of water allocation for adaptation to climate change using multi-criteria decision making (MCDM). Water Resour. Manag. 33, 3401–3416.
  • Gonçalves, J. M., Ferreira, S., Nunes, M., Eugénio, R., Amador, P., Filipe, O., Damásio, H. (2020). Developing irrigation management at district scale based on water monitoring: study on Lis valley, Portugal. AgriEngineering, 2(1), 78-95.
  • Grossowicz, M.; Ofir, E.; Shabtay, A.; Wood, J.; Biton, E.; Belkin, N.; Frid, O.; Sisma-Ventura, G.; Kress, N.; Berman-Frank, I.; et al. (2020). Modeling the Effects of Brine Outflow from Desalination Plants on Coastal Food-Webs of the Levantine Basin (Eastern Mediterranean Sea). Desalination, 496, 114757.
  • Hajeeh, M., Al-Othman, A. (2005). Application of the analytical hierarchy process in the selection of desalination plants. Desalination, 174(1), 97-108.
  • Hajeeh,M., Fuzzy approach for water desalination plants selection, (2010), 4th IASME/WSEAS International Conference on Geology and Seismology, University of Cambridge, UK, pp. 53–61.
  • He, T., Yan, L. (2009). Application of alternative energy integration technology in seawater desalination. Desalination 249, 104-108.
  • Hermoso-Orzáez, M. J., Lozano-Miralles, J. A., Lopez-Garcia, R., Brito, P. (2019). Environmental criteria for assessing the competitiveness of public tenders with the replacement of large-scale LEDs in the outdoor lighting of cities as a key element for sustainable development: Case study applied with PROMETHEE methodology. Sustainability, 11(21), 5982.
  • Huang, Q. (2022). Selecting sustainable renewable energy-powered desalination: an MCDM framework under uncertain and incomplete information. Clean Technologies and Environmental Policy, 1-18.
  • Joubert, A., Stewart, T.J., Eberhard, R. (2003). Evaluation of water supply augmentation and water demand management options for the City of Cape Town. J. Multi-Criteria Decis. Anal. 12, 17–25.
  • Kalogirou, S. A. (2005). Seawater desalination using renewable energy sources. Progress in Energy and Combustion Science 31: 242-281.
  • Karleuša, B., Hajdinger, A., Tadić, L. (2019). The application of multi-criteria analysis methods for the determination of priorities in the implementation of irrigation plans. Water 11, 501.
  • Khalil, M.I., Schmidhalter, U., Gutser, R. (2005). Turnover of chicken manure in some upland soils of Asia: Agricultural and Environmental Perspective, Hamburger Berichte. pp. 275–292.
  • Khawaji, A. D., Kutubkhanah, I. K., Wie, J. M. (2008). Advances in seawater desalination technologies. Desalination, 221(1-3), 47-69.
  • Kholghi, M. (2001). Multi-criterion decision-making tools for wastewater planning management. Journal Of Agrıcultural Scıence And Technology, 281-286.
  • Kim, D. H. (2011). A review of desalting process techniques and economic analysis of the recovery of salts from retentates. Desalination, 270(1-3), 1-8.
  • Koyuncu, İ. (2018). Su/Atıksu Arıtılması ve Geri Kazanılmasında Membran Teknolojileri ve Uygulamaları. TC Çevre ve Şehircilik Bakanlığı, 554s, Ankara.
  • Mahmoud, M.R., Garcia, L.A. (2000). Comparison of different multicriteria evaluation methods for the Red
  • Zamani, R., Ali, A. M. A., Roozbahani, A. (2020). Evaluation of adaptation scenarios for climate change impacts on agricultural water allocation using fuzzy MCDM methods. Water Resources Management, 34(3), 1093-1110.
  • Zamarrón-Mieza, I., Yepes, V., Moreno-Jiménez, J.M., (2017). A systematic review of application of multi-criteria decision analysis for aging-dam management. J. Clean. Prod. 147, 217–230.
  • Zarghami, M., Abrishamchi, A., Ardakanian, R. (2008). Multi-criteria decision making for integrated urban water management. Water Resour. Manag. 22, 1017–1029.
  • Zheng, J., Egger, C., Lienert, J. (2016). A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty. Journal of environmental management, 183, 895-908.
  • Zyoud, S.H., Kaufmann, L.G., Shaheen, H., Samhan, S., Fuchs-Hanusch, D. (2016). A framework for water loss management in developing countries under fuzzy environment: Integration of Fuzzy AHP with Fuzzy TOPSIS. Expert Syst. Appl. 61, 86–10.

Multi-Criteria Decision-Making Analysis for the Selection of Desalination Technologies

Yıl 2022, Cilt: 9 Sayı: 4, 207 - 216, 25.12.2022
https://doi.org/10.30897/ijegeo.1221898

Öz

Accessible fresh water resources for drinking and usage are very limited in our world. Furthermore, these limited fresh water resources are gradually decreasing due to climate change, industrialization, and population growth. Despite the ever-increasing need for water, the inadequacies in our resources have made it critical to develop alternative drinking and utility water production methods. Desalination, one of the most important alternatives for fresh water supply, is on the rise on a global scale. Desalination facilities use various thermal and membrane techniques to separate water and salt. Concentrated brine, which contains desalination chemicals and significant amounts of salt, and is formed in high volumes from desalination processes, is also a concern. This article compares various desalination techniques using a multi-criteria decision-making method. The findings show that the Reverse Osmosis & Membrane Crystallization process is the most preferred technology due to its cost advantages as well as operational efficiency. Similarly, Multistage flash &Electrodialysis, the least preferred alternative, has been criticized for its low cost-effectiveness. These results suggest that cost and operational efficiency will continue to be the main drivers in the evaluation of desalination technologies in the near future.

Kaynakça

  • Abrishamchi, A., Ebrahimian, A., Tajrishi, M., Mariño, M.A. (2005). Case study: application of multicriteria decision making to urban water supply. J. water Resour. Plan. Manag. 131, 326–335.
  • Ahmed, F. E., Hashaikeh, R., Hilal, N. (2019). Solar powered desalination- technology, energy and future Outlook. Desalination 453: 54-76.
  • Al-Araidah, O., Hayajneh, M.T., Al-Rwabdah, R.A. (2020). Desalination membrane selection using group fuzzy analytical hierarchy process. Desalin. WATER Treat. 2020, 174, 79–89.
  • Aly, N. H., El-Fiqi, A. K. (2003). Thermal performance of seawater desalination systems. Desalination 158: 127-142.
  • Anqi, A. E., Mohammed, A. A. (2021). Evaluating Critical Influencing Factors of Desalination by Membrane Distillation Process—Using Multi-Criteria Decision-Making. Membranes, 11(3), 164.
  • Badi, I., Ballem, M., Shetwan, A. (2018). Site selection of desalination plant in libya by using combinative distance-based assessment (codas) method. International Journal for Quality Research, 12(3).
  • Behzadian, M., Kazemzadeh, R. B., Albadvi, A., Aghdasi, M. (2010). PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200 (1), 198-215.
  • Benitez, J., Delgado-Galván, X., Izquierdo, J., Pérez-Garcia, R. (2011). Achieving matrix consistency in AHP through linearization. Appl. Math. Model. 35, 4449–4457.
  • Bulut, Ayben Polat. (2021). "Artan Su İhtiyaci İçin Deniz Suyu Kullanimi Ve Aritma Teknolojileri." Türk Bilimsel Derlemeler Dergisi 14, no. 2: 124-137. Burak, S., Doğan, E., Gazioğlu, C. (2004). Impact of urbanization and tourism on coastal environment. Ocean Coast. Manag. 47, 515–527.
  • Cabrera Jr, E., Cobacho, R., Estruch, V., Aznar, J. (2011). Analytical hierarchical process (AHP) as a decision support tool in water resources management. J. Water Supply Res. Technol. 60, 343–351.
  • Chamblás, O., Pradeñas, L.(2018). Multi-criteria optimization for seawater desalination. Tecnol. y Ciencias del Agua, 9, 198–213.
  • Chang, N. B., Wen, C. G., Wu, S. L. (1995). Optimal management of environmental and land resources in a reservoir watershed by multiobjective programming. Journal of environmental management, 44(2), 144-161.
  • Chen, C.-T., Lin, C.-T., Huang, S.-F. (2006). A fuzzy approach for supplier evaluation and selection insupply chain management. Int. J. Prod. Econ. 102, 289–301.
  • Cinar, N., Ahiska, S.S. (2010). A decision support model for bank branch location selection. Int. J. Hum. Soc. Sci. 5, 846–851.
  • Clarivate Analytics. (2022). Web of Science databases. Retrieved November, 2022, from https://clarivate.com/products/web-of science/databases/
  • Compain, P. (2012). Solar energy for water desalination. Procedia Engineering 46: 220-22.
  • Dağdeviren, M. (2008). Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of intelligent manufacturing, 19(4), 397-406.
  • De Marchi, B., Funtowicz, S.O., Cascio, S. Lo, Munda, G. (2000). Combining participative and institutional approaches with multicriteria evaluation. An empirical study for water issues in Troina, Sicily. Ecol. Econ. 34, 267–282.
  • Dube, N. M., Tzoneva, R. (2007). Optimal closed-loop controller design for an ion exchange process used for desalination of water,” IFAC Proceedings Volumes, 40: 970-975.
  • Dweiri, F., Khan, S. A., Almulla, A. (2018). A multi-criteria decision support system to rank sustainable desalination plant location criteria. Desalination, 444, 26-34.
  • Ebrahimian, A., Wadzuk, B., Traver, R. (2019). Evapotranspiration in green stormwater infrastructure systems. Science of the total environment, 688, 797-810.
  • El-Ghonemy, A. M. K. (2018). Performance test of a sea water multi-stagef lash distillation plant: Case study. Alexandria Engineering Journal, 57: 2401-2413.
  • Faridirad, F., Zourmand, Z., Kasiri, N., Moghaddam, M. K., Mohammadi, T. (2014). Modeling of suspension fouling in nanofiltration. Desalination, 346: 80-90.
  • Fattahi, P., Fayyaz, S. (2010). A compromise programming model to integrated urban water management. Water Resour. Manag. 24, 1211–1227.
  • Flug, M., Seitz, H.L.H., Scott, J.F. (2000). Multicriteria decision analysis applied to Glen Canyon Dam. J. Water Resour. Plan. Manag. 126, 270–276.
  • Freitas, A.H.A., Magrini, A. (2013). Multi-criteria decision-making to support sustainable water management in a mining complex in Brazil. J. Clean. Prod. 47, 118–128.
  • Friedman, T. (2022) Climate Change Will Destroy Arabs and Israelis Before They Destroy Each Other. The New York Times. https://www.nytimes.com/2022/12/06/opinion/how-biden-can-help-save-the-middle-east.html
  • Golfam, P., Ashofteh, P.-S., Loáiciga, H.A., (2019a). Evaluation of the VIKOR and FOWA Multi-Criteria Decision Making Methods for Climate-Change Adaptation of Agricultural Water Supply. Water Resour. Manag. 33, 2867–2884.
  • Golfam, P., Ashofteh, P.-S., Rajaee, T., Chu, X. (2019b). Prioritization of water allocation for adaptation to climate change using multi-criteria decision making (MCDM). Water Resour. Manag. 33, 3401–3416.
  • Gonçalves, J. M., Ferreira, S., Nunes, M., Eugénio, R., Amador, P., Filipe, O., Damásio, H. (2020). Developing irrigation management at district scale based on water monitoring: study on Lis valley, Portugal. AgriEngineering, 2(1), 78-95.
  • Grossowicz, M.; Ofir, E.; Shabtay, A.; Wood, J.; Biton, E.; Belkin, N.; Frid, O.; Sisma-Ventura, G.; Kress, N.; Berman-Frank, I.; et al. (2020). Modeling the Effects of Brine Outflow from Desalination Plants on Coastal Food-Webs of the Levantine Basin (Eastern Mediterranean Sea). Desalination, 496, 114757.
  • Hajeeh, M., Al-Othman, A. (2005). Application of the analytical hierarchy process in the selection of desalination plants. Desalination, 174(1), 97-108.
  • Hajeeh,M., Fuzzy approach for water desalination plants selection, (2010), 4th IASME/WSEAS International Conference on Geology and Seismology, University of Cambridge, UK, pp. 53–61.
  • He, T., Yan, L. (2009). Application of alternative energy integration technology in seawater desalination. Desalination 249, 104-108.
  • Hermoso-Orzáez, M. J., Lozano-Miralles, J. A., Lopez-Garcia, R., Brito, P. (2019). Environmental criteria for assessing the competitiveness of public tenders with the replacement of large-scale LEDs in the outdoor lighting of cities as a key element for sustainable development: Case study applied with PROMETHEE methodology. Sustainability, 11(21), 5982.
  • Huang, Q. (2022). Selecting sustainable renewable energy-powered desalination: an MCDM framework under uncertain and incomplete information. Clean Technologies and Environmental Policy, 1-18.
  • Joubert, A., Stewart, T.J., Eberhard, R. (2003). Evaluation of water supply augmentation and water demand management options for the City of Cape Town. J. Multi-Criteria Decis. Anal. 12, 17–25.
  • Kalogirou, S. A. (2005). Seawater desalination using renewable energy sources. Progress in Energy and Combustion Science 31: 242-281.
  • Karleuša, B., Hajdinger, A., Tadić, L. (2019). The application of multi-criteria analysis methods for the determination of priorities in the implementation of irrigation plans. Water 11, 501.
  • Khalil, M.I., Schmidhalter, U., Gutser, R. (2005). Turnover of chicken manure in some upland soils of Asia: Agricultural and Environmental Perspective, Hamburger Berichte. pp. 275–292.
  • Khawaji, A. D., Kutubkhanah, I. K., Wie, J. M. (2008). Advances in seawater desalination technologies. Desalination, 221(1-3), 47-69.
  • Kholghi, M. (2001). Multi-criterion decision-making tools for wastewater planning management. Journal Of Agrıcultural Scıence And Technology, 281-286.
  • Kim, D. H. (2011). A review of desalting process techniques and economic analysis of the recovery of salts from retentates. Desalination, 270(1-3), 1-8.
  • Koyuncu, İ. (2018). Su/Atıksu Arıtılması ve Geri Kazanılmasında Membran Teknolojileri ve Uygulamaları. TC Çevre ve Şehircilik Bakanlığı, 554s, Ankara.
  • Mahmoud, M.R., Garcia, L.A. (2000). Comparison of different multicriteria evaluation methods for the Red
  • Zamani, R., Ali, A. M. A., Roozbahani, A. (2020). Evaluation of adaptation scenarios for climate change impacts on agricultural water allocation using fuzzy MCDM methods. Water Resources Management, 34(3), 1093-1110.
  • Zamarrón-Mieza, I., Yepes, V., Moreno-Jiménez, J.M., (2017). A systematic review of application of multi-criteria decision analysis for aging-dam management. J. Clean. Prod. 147, 217–230.
  • Zarghami, M., Abrishamchi, A., Ardakanian, R. (2008). Multi-criteria decision making for integrated urban water management. Water Resour. Manag. 22, 1017–1029.
  • Zheng, J., Egger, C., Lienert, J. (2016). A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty. Journal of environmental management, 183, 895-908.
  • Zyoud, S.H., Kaufmann, L.G., Shaheen, H., Samhan, S., Fuchs-Hanusch, D. (2016). A framework for water loss management in developing countries under fuzzy environment: Integration of Fuzzy AHP with Fuzzy TOPSIS. Expert Syst. Appl. 61, 86–10.
Toplam 50 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Mustafa Hekimoğlu 0000-0001-9446-0582

Başak Savun-hekimoğlu 0000-0003-4213-6216

Barbaros Erbay 0000-0002-5540-2889

Cem Gazioğlu 0000-0002-2083-4008

Yayımlanma Tarihi 25 Aralık 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 9 Sayı: 4

Kaynak Göster

APA Hekimoğlu, M., Savun-hekimoğlu, B., Erbay, B., Gazioğlu, C. (2022). Multi-Criteria Decision-Making Analysis for the Selection of Desalination Technologies. International Journal of Environment and Geoinformatics, 9(4), 207-216. https://doi.org/10.30897/ijegeo.1221898