Skip to main content
Top
Published in: Energy Systems 3/2015

01-09-2015 | Original Paper

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

Authors: Deepak Sharma, Rahul Vaish, Sarita Azad

Published in: Energy Systems | Issue 3/2015

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Saaty, T.: How to make a decision: the analytic hierarchy process. Eur. J. Oper. Res. 48, 9–26 (1990)CrossRefMATH Saaty, T.: How to make a decision: the analytic hierarchy process. Eur. J. Oper. Res. 48, 9–26 (1990)CrossRefMATH
2.
go back to reference Opricovic, S., Tzeng, G.H.: Extended VIKOR method in comparison with outranking methods. Eur. J. Oper. Res. 178, 514–529 (2007)CrossRefMATH Opricovic, S., Tzeng, G.H.: Extended VIKOR method in comparison with outranking methods. Eur. J. Oper. Res. 178, 514–529 (2007)CrossRefMATH
3.
go back to reference Deng, H., Yeh, C.H., Willis, R.J.: Inter-company comparison using TOPSIS with objective weights. Comput. Oper. Res. 27, 963–973 (2000)CrossRefMATH Deng, H., Yeh, C.H., Willis, R.J.: Inter-company comparison using TOPSIS with objective weights. Comput. Oper. Res. 27, 963–973 (2000)CrossRefMATH
4.
go back to reference Roy, B., Vincke, P.: Multi-criteria analysis: survey and new directions. Eur. J. Oper. Res. 158, 378–389 (1981)MathSciNet Roy, B., Vincke, P.: Multi-criteria analysis: survey and new directions. Eur. J. Oper. Res. 158, 378–389 (1981)MathSciNet
5.
go back to reference Pratyyush, S., Jian-Bo, Y.: Multiple Criteria Decision Support in Engineering Design. Springer, Berlin (1998) Pratyyush, S., Jian-Bo, Y.: Multiple Criteria Decision Support in Engineering Design. Springer, Berlin (1998)
6.
go back to reference Chauhan, A., Vaish, R.: Magnetic material selection using multiple attribute decision making approach. Mater. Des. 36, 1–5 (2012)CrossRef Chauhan, A., Vaish, R.: Magnetic material selection using multiple attribute decision making approach. Mater. Des. 36, 1–5 (2012)CrossRef
7.
go back to reference Chauhan, A., Vaish, R.: A comparative study on material selection for micro-electromechanical systems. Mater. Des. 41, 177–181 (2012)CrossRef Chauhan, A., Vaish, R.: A comparative study on material selection for micro-electromechanical systems. Mater. Des. 41, 177–181 (2012)CrossRef
8.
go back to reference Chauhan, A., Vaish, R.: Hard coating material selection using multi-criteria decision making. Mater. Des. 44, 40–45 (2013)CrossRef Chauhan, A., Vaish, R.: Hard coating material selection using multi-criteria decision making. Mater. Des. 44, 40–45 (2013)CrossRef
9.
go back to reference Topcu, Y.I., Ulengin, F.: Energy for the future: an integrated decision aid for the case of Turkey. Energy 29, 137–154 (2004)CrossRef Topcu, Y.I., Ulengin, F.: Energy for the future: an integrated decision aid for the case of Turkey. Energy 29, 137–154 (2004)CrossRef
10.
go back to reference 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)CrossRef 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)CrossRef
11.
go back to reference 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)CrossRef 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)CrossRef
12.
go back to reference 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) 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.
go back to reference 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)MathSciNetCrossRefMATH 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)MathSciNetCrossRefMATH
14.
go back to reference 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 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.
go back to reference 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)CrossRef 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)CrossRef
16.
go back to reference 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)CrossRef 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)CrossRef
17.
go back to reference Opricovic, S.: Fuzzy VIKOR with an application to water resources planning. Expert Syst. Appl. 38, 12983–90 (2011)CrossRef Opricovic, S.: Fuzzy VIKOR with an application to water resources planning. Expert Syst. Appl. 38, 12983–90 (2011)CrossRef
18.
go back to reference Report-Energy Statistics 2012, Central Statistics Office. National Statistical Organisation. Ministry of Statistics and Programme Implementation, Government of India Report-Energy Statistics 2012, Central Statistics Office. National Statistical Organisation. Ministry of Statistics and Programme Implementation, Government of India
19.
go back to reference Chandrasekharam, D.: Geothermal energy resources of India: past and the present. In: World Geothermal Congress 2005, Antalya, Turkey, 24–29 April 2005 (2005) Chandrasekharam, D.: Geothermal energy resources of India: past and the present. In: World Geothermal Congress 2005, Antalya, Turkey, 24–29 April 2005 (2005)
20.
go back to reference Kumar, A.A., Karthick, K.: Clean energy resources available in India. Int. J. Environ. Sci. Dev. 2(1), 1–7 (2011)CrossRef Kumar, A.A., Karthick, K.: Clean energy resources available in India. Int. J. Environ. Sci. Dev. 2(1), 1–7 (2011)CrossRef
21.
go back to reference Dreaming with BRICs: the path to 2050. Global Economics Paper No. 99, Goldman Sachs, 1st October 2003 Dreaming with BRICs: the path to 2050. Global Economics Paper No. 99, Goldman Sachs, 1st October 2003
22.
go back to reference 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)CrossRef 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)CrossRef
23.
go back to reference 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)CrossRef 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)CrossRef
24.
go back to reference 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)CrossRef 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)CrossRef
25.
go back to reference 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)CrossRefMATH 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)CrossRefMATH
26.
go back to reference 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) 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.
go back to reference Chauhan, A., Vaish, R.: Pareto optimal microwave dielectric materials. Adv. Sci. Eng. Med. 5, 149–155 (2013) Chauhan, A., Vaish, R.: Pareto optimal microwave dielectric materials. Adv. Sci. Eng. Med. 5, 149–155 (2013)
28.
go back to reference Yang, H., Lu, L., Zhou, W.: A novel optimization sizing model for hybrid solar-wind power generation system. Sol. Energy 81, 76–84 (2007)CrossRef Yang, H., Lu, L., Zhou, W.: A novel optimization sizing model for hybrid solar-wind power generation system. Sol. Energy 81, 76–84 (2007)CrossRef
Metadata
Title
Selection of India’s energy resources: a fuzzy decision making approach
Authors
Deepak Sharma
Rahul Vaish
Sarita Azad
Publication date
01-09-2015
Publisher
Springer Berlin Heidelberg
Published in
Energy Systems / Issue 3/2015
Print ISSN: 1868-3967
Electronic ISSN: 1868-3975
DOI
https://doi.org/10.1007/s12667-015-0149-5

Other articles of this Issue 3/2015

Energy Systems 3/2015 Go to the issue