Skip to main content

Advertisement

SpringerLink
Log in

Selection of India’s energy resources: a fuzzy decision making approach

  • Original Paper
  • Published:
Energy Systems Aims and scope Submit manuscript

Abstract

An optimum selection of potential future energy resources is now need of all the nations. This study aim1s to rank viable energy resources for India. We consider six sources of energy namely, hydropower, solar, wind, coal and lignite, gas and liquid, and nuclear energy. The objective is to provide a quantitative analysis for the selection of most feasible and sustainable source of energy by critically analyzing them based on six criteria namely: feasibility, investment ratio, useful life, operational and management cost, risk in operation and pollutants emission. We have employed fuzzy and interval-based multiple attribute decision making approaches in order to consider uncertainty associated with the data. The criteria understudy are prioritized using modified digital logic method. Our results show that wind and solar energy are the most effective sources of energy due to their ease of access, lack of risk and eco-friendly nature.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Saaty, T.: How to make a decision: the analytic hierarchy process. Eur. J. Oper. Res. 48, 9–26 (1990)

    Article  MATH  Google Scholar 

  2. Opricovic, S., Tzeng, G.H.: Extended VIKOR method in comparison with outranking methods. Eur. J. Oper. Res. 178, 514–529 (2007)

    Article  MATH  Google Scholar 

  3. Deng, H., Yeh, C.H., Willis, R.J.: Inter-company comparison using TOPSIS with objective weights. Comput. Oper. Res. 27, 963–973 (2000)

    Article  MATH  Google Scholar 

  4. Roy, B., Vincke, P.: Multi-criteria analysis: survey and new directions. Eur. J. Oper. Res. 158, 378–389 (1981)

    MathSciNet  Google Scholar 

  5. Pratyyush, S., Jian-Bo, Y.: Multiple Criteria Decision Support in Engineering Design. Springer, Berlin (1998)

  6. Chauhan, A., Vaish, R.: Magnetic material selection using multiple attribute decision making approach. Mater. Des. 36, 1–5 (2012)

    Article  Google Scholar 

  7. Chauhan, A., Vaish, R.: A comparative study on material selection for micro-electromechanical systems. Mater. Des. 41, 177–181 (2012)

    Article  Google Scholar 

  8. Chauhan, A., Vaish, R.: Hard coating material selection using multi-criteria decision making. Mater. Des. 44, 40–45 (2013)

    Article  Google Scholar 

  9. Topcu, Y.I., Ulengin, F.: Energy for the future: an integrated decision aid for the case of Turkey. Energy 29, 137–154 (2004)

    Article  Google Scholar 

  10. San Cristóbal, J.R.: Multi-criteria decision-making in the selection of a renewable energy project in Spain: the Vikor method. Renew. Energy 36, 498–502 (2011)

    Article  Google Scholar 

  11. Wanga, B., Kocaoglu, D.F., Daim, T.U., Yang, J.: A decision model for energy resource selection in China. Energy Policy 38, 7130–7141 (2010)

    Article  Google Scholar 

  12. Meng, Z., Jingsong, Y., Rongrong, R.: The method of interval multi-attribute decision-making based on cross entropy. In: 2012 IEEE 3rd International Conference on Software Engineering and Service Science (ICSESS), pp. 461–464 (2012)

  13. Sayadi, M.K., Heydari, M., Shahanaghi, K.: Extension of VIKOR method for decision making problem with interval numbers. Appl. Math. Model. 33, 2257–2262 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  14. Chauhan, A., Vaish, R.: A comparative study on decision making methods with interval data. J. Comput. Eng. 2014, Article ID 793074 (2014). doi:10.1155/2014/793074

  15. Girubha, R.J., Vinodh, S.: Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component. Mater. Des. 37, 478–486 (2012)

    Article  Google Scholar 

  16. Shemshadi, A., Shirazi, H., Toreihi, M., Tarokh, M.J.: A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Syst. Appl. 38, 12160–7 (2011)

    Article  Google Scholar 

  17. Opricovic, S.: Fuzzy VIKOR with an application to water resources planning. Expert Syst. Appl. 38, 12983–90 (2011)

    Article  Google Scholar 

  18. Report-Energy Statistics 2012, Central Statistics Office. National Statistical Organisation. Ministry of Statistics and Programme Implementation, Government of India

  19. Chandrasekharam, D.: Geothermal energy resources of India: past and the present. In: World Geothermal Congress 2005, Antalya, Turkey, 24–29 April 2005 (2005)

  20. Kumar, A.A., Karthick, K.: Clean energy resources available in India. Int. J. Environ. Sci. Dev. 2(1), 1–7 (2011)

    Article  Google Scholar 

  21. Dreaming with BRICs: the path to 2050. Global Economics Paper No. 99, Goldman Sachs, 1st October 2003

  22. Chang, S.L., Wang, R.C., Wang, S.Y.: Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle. Int. J. Prod. Econ. 100, 348–359 (2006)

    Article  Google Scholar 

  23. Boran, F.E., Boran, K., Menlik, T.: The evaluation of renewable energy technologies for electricity generation in Turkey using intuitionistic fuzzy TOPSIS. Energy Sources Part B: Econ. Plan. Policy 7, 81–90 (2012)

    Article  Google Scholar 

  24. Manshadi, B.D., et al.: A novel method for material selection in mechanical design: combination of non-linear normalization and a modified DLM. Mater. Des. 28, 8–15 (2007)

    Article  Google Scholar 

  25. Jahanshahloo, G.R., Lotfi, F.H., Izadikhah, M.: Extension of the TOPSIS method for decision-making problems with fuzzy data. Appl. Math. Comput. 181, 1544–1551 (2006)

    Article  MATH  Google Scholar 

  26. Wang, T.C., Chang, T.H.: Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Syst. Appl. 33, 870–880 (2007)

  27. Chauhan, A., Vaish, R.: Pareto optimal microwave dielectric materials. Adv. Sci. Eng. Med. 5, 149–155 (2013)

  28. Yang, H., Lu, L., Zhou, W.: A novel optimization sizing model for hybrid solar-wind power generation system. Sol. Energy 81, 76–84 (2007)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Engineering, Indian Institute of Technology Mandi, Mandi, 175001, Himachal Pradesh, India

    Deepak Sharma & Rahul Vaish

  2. School of Basic Sciences, Indian Institute of Technology Mandi, Mandi, 175001, Himachal Pradesh, India

    Sarita Azad

Authors
  1. Deepak Sharma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rahul Vaish
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sarita Azad
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sarita Azad.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sharma, D., Vaish, R. & Azad, S. Selection of India’s energy resources: a fuzzy decision making approach. Energy Syst 6, 439–453 (2015). https://doi.org/10.1007/s12667-015-0149-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12667-015-0149-5

Keywords

Search

Navigation