Skip to main content

Advertisement

Log in

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

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

The requirements to satisfy the energy needs of today without compromising those of future generations have forced humans to adopt rules that permit a better use of the available resources, of which the sun is an inexhaustible energy source. Amongst the energy sources that offer the possibility of exploiting the resources offered by the Earth, solar energy has acquired great strength. Photovoltaic energy has presented a major evolution and it is forecasted as being an important contributor to power generation and an alternative to other non-renewable energy sources. The high cost of solar electricity is today the main reason why electricity from photovoltaic systems has not been introduced in a more widespread way. In this context, the aim of this paper is the study and analysis of the decision criteria to be used when searching for the best photovoltaic cell, studying both the criteria that exert most influence or their manufacture (defined by quantitative and qualitative values) and the alternatives which will be the decision problem to be solved; each alternative will correspond to one type of photovoltaic cell. Thus, relevant information has been provided by three experts and the TOPSIS method has been used to aggregate all the information combined with the use of fuzzy sets which will model the use of linguistic labels in the process.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

AHP:

Analytic Hierarchy Process

MCDM:

Multi-Criteria Decision Making

PV:

Photovoltaic

EPIA:

European Association of Photovoltaic Industry

CIGS:

Copper indium gallium diselenide

TFN:

Triangular fuzzy number

TOPSIS:

Technique for Order Performance by Similarity to Ideal Solution

GIS:

Geographic Information System

References

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Cavallaro, F. (2009). Multi-criteria decision aid to assess concentrated solar thermal technologies. Renewable Energy, 34, 1678–1685.

    Article  Google Scholar 

  • Cavallaro, F. (2010a). Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems. Applied Energy, 87, 496–503.

    Article  Google Scholar 

  • Cavallaro, F. (2010b). A comparative assessment for thin-film photovoltaic production processes using the ELECTRE III method. Energy Policy, 38, 463–474.

    Article  Google Scholar 

  • Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1–9.

    Article  Google Scholar 

  • Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making: methods and applications. Berlin: Springer.

    Book  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Chu, T. C. (2002b). Selecting plant location via a fuzzy TOPSIS approach. The International Journal of Advanced Manufacturing Technology, 20, 859–864.

    Article  Google Scholar 

  • Delgado, M., Verdegay, J. L., & Vila, M. A. (1992). Linguistic decision making models. International Journal of Intelligent Systems, 7, 479–492.

    Article  Google Scholar 

  • Dubois, D., & Prade, H. (1980). Fuzzy sets and systems: theory and applications. New York: Academic Press.

    Google Scholar 

  • EPIA/Greenpeace (2008). Electricity for over one billion people and two million jobs by 2020. Solar Generation V, 8–10.

  • 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.

  • 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.

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Green, M. A. (2002). Third generation photovoltaics: solar cells for 2020 and beyond. Physica. E, Low-Dimensional Systems and Nanostructures, 14, 65–70.

    Article  Google Scholar 

  • Green, M. A. (2009). Polycristalline silicon on glass for thin-film solar cells. Applied Physics. A, Materials Science & Processing, 96, 153–159.

    Article  Google Scholar 

  • 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.

    Chapter  Google Scholar 

  • Haralambopoulos, D. A., & Polatidis, H. (2003). Renewable energy projects: structuring a multi-criteria group decision-making framework. Renewable Energy, 28, 961–973.

    Article  Google Scholar 

  • Hegedus, E., & Luque, A. (2003). Handbook of photovoltaic science and engineering. New York: Wiley.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Huang, J. P., Poh, K. L., & Ang, B. W. (1995). Decision analysis in energy and environmental modelling. Energy, 20(9), 843–855.

    Article  Google Scholar 

  • Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision methods and applications. Berlin: Springer.

    Book  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Keeney, R., & Raiffa, H. (1976). Decisions with multiple objectives: preferences and value tradeoffs. New York: Wiley.

    Google Scholar 

  • Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic: theory and applications. New York: Prentice Hall.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Luce, R. D., & Raiffa, H. (1957). Games and decisions: introduction and critical survey. New York: Wiley.

    Google Scholar 

  • Messenger, R. A., & Ventre, J. (2004). Present and proposed PV cells. In Photovoltaic systems engineering (2nd ed.) (pp. 373–413). Boca Raton: CRC Press.

    Google Scholar 

  • Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.

    Google Scholar 

  • Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Socorro García-Cascales.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Socorro García-Cascales, M., Teresa Lamata, M. & Miguel Sánchez-Lozano, J. Evaluation of photovoltaic cells in a multi-criteria decision making process. Ann Oper Res 199, 373–391 (2012). https://doi.org/10.1007/s10479-011-1009-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-011-1009-x

Keywords

Navigation