Evaluation of photovoltaic cells in a multi-criteria decision making process

Annals of Operations Research

Volumn 199, Issue 1, 2012, Pages 373-391

  Socorro Garcia Cascales M ^a   Teresa Lamata, M ^b   Miguel Sanchez Lozano J ^a  

^a TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

Fuzzy sets; Linguistic labels; Multi criteria decision making; Photovoltaic cells; TOPSIS

Indexed keywords

EID: 84866113542     PISSN: 02545330     EISSN: 15729338     Source Type: Journal    
DOI: 10.1007/s10479-011-1009-x     Document Type: Article

References (33)

1. Arán-Carrión, J., Espín-Estrella, A., Aznar-Dols, F., Zamorano-Toro, M., Rodríguez, M., & Ramos-Ridao, A. (2008). Environmental decision-support systems for evaluating the carrying capacity of land areas: Optimal site selection for grid-connected photovoltaic power plants. Renewable & Sustainable Energy Reviews, 12, 2358-2380.
2. Beccali, M., Cellura, M., & Ardente, D. (1998). Decision making in energy planning: the ELECTRE multicriteria analysis approach compared to a fuzzy-sets methodology. Energy Conversion and Management, 39(16-18), 1869-1881.
3. Cavallaro, F. (2009). Multi-criteria decision aid to assess concentrated solar thermal technologies. Renewable Energy, 34, 1678-1685.
4. Cavallaro, F. (2010a). Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems. Applied Energy, 87, 496-503.
5. Cavallaro, F. (2010b). A comparative assessment for thin-film photovoltaic production processes using the ELECTRE III method. Energy Policy, 38, 463-474.
6. Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1-9.
7. Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making: methods and applications. Berlin: Springer.
8. Chu, T. C. (2002a). Facility location selection using fuzzy TOPSIS under group decisions. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10, 687-701.
9. Chu, T. C. (2002b). Selecting plant location via a fuzzy TOPSIS approach. The International Journal of Advanced Manufacturing Technology, 20, 859-864.
10. Delgado, M., Verdegay, J. L., & Vila, M. A. (1992). Linguistic decision making models. International Journal of Intelligent Systems, 7, 479-492.
11. Dubois, D., & Prade, H. (1980). Fuzzy sets and systems: theory and applications. New York: Academic Press.
12. EPIA/Greenpeace (2008). Electricity for over one billion people and two million jobs by 2020. Solar Generation V, 8-10.
13. European Photovoltaic Technology Platform (2007). Strategic research agenda (SRA) for photovoltaic solar energy technology. http://www. eupvplatform. org/publications/strategic-research-agenda-implementation-plan. html.
14. García-Cascales, M. S., & Lamata, M. T. (2007). A modification to the index of Liou and Wang for ranking fuzzy number, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 411-424.
15. García-Cascales, M. S., & Lamata, M. T. (2011). Multi-criteria analysis for a maintenance management problem in an engine factory: rational choice. Journal of Intelligent Manufacturing. doi: 10. 1007/s10845-009-0290-x.
16. Georgopoulou, E., Lalas, D., & Papagiannakis, L. (1997). A multicriteria decision aid approach for energy planning problems: the case of renewable energy option. European Journal of Operational Research, 103, 38-54.
17. Green, M. A. (2001). Third generation photovoltaics: ultra-hight conversion efficiency at low cost. Progress in Photovoltaics: Research and Applications, 9, 123-135. doi: 10. 1002/pip. 360.
18. Green, M. A. (2002). Third generation photovoltaics: solar cells for 2020 and beyond. Physica. E, Low-Dimensional Systems and Nanostructures, 14, 65-70.
19. Green, M. A. (2009). Polycristalline silicon on glass for thin-film solar cells. Applied Physics. A, Materials Science & Processing, 96, 153-159.
20. Halls, J. J. M., & Friend, R. H. (2001). Organic photovoltaics devices. In M. D. Archer & R. Hill (Eds.), Clean electricity from photovoltaics (pp. 377-445). London: Imperial College Press.
21. Haralambopoulos, D. A., & Polatidis, H. (2003). Renewable energy projects: structuring a multi-criteria group decision-making framework. Renewable Energy, 28, 961-973.
22. Hegedus, E., & Luque, A. (2003). Handbook of photovoltaic science and engineering. New York: Wiley.
23. Herrera, F., Alonso, S., Chiclana, F., & Herrera-Viedma, E. (2009). Computing with words in decision making: foundations, trends and prospects. Fuzzy Optimization and Decision Making, 8, 337-364.
24. Huang, J. P., Poh, K. L., & Ang, B. W. (1995). Decision analysis in energy and environmental modelling. Energy, 20(9), 843-855.
25. Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision methods and applications. Berlin: Springer.
26. Kazmerski, L. L. (2006). Solar photovoltaics R& D at the tipping point: a 2005 technology overview. Journal of Electron Spectroscopy and Related Phenomena, 150, 105-135.
27. Keeney, R., & Raiffa, H. (1976). Decisions with multiple objectives: preferences and value tradeoffs. New York: Wiley.
28. Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic: theory and applications. New York: Prentice Hall.
29. Kwi-Seong, J., Won-Yong, L., & Chang-Soo, K. (2005). Energy management strategies of a fuel cell/battery hybrid system using fuzzy logics. Journal of Power Sources, 145, 319-326.
30. Luce, R. D., & Raiffa, H. (1957). Games and decisions: introduction and critical survey. New York: Wiley.
31. Messenger, R. A., & Ventre, J. (2004). Present and proposed PV cells. In Photovoltaic systems engineering (2nd ed.) (pp. 373-413). Boca Raton: CRC Press.
32. Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
33. Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338-353.