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Ranking renewable energy production methods based on economic and environmental criteria using multi-criteria decision analysis

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Abstract

These days, the excessive industrialization, elevated levels of pollution, and increased energy crisis have led nations towards the use of renewable energy sources. Moving towards renewable energy not only helps in reducing our dependence on fossil fuels but also aids in eliminating increased levels of pollution. Through the use of renewable energy sources, global warming can also be decreased which is currently the biggest environmental issue worldwide. This reduction in global warming will result in a guaranteed sustainable future. Renewable energy, despite being expensive, contributes to the national economy in the longer run. Moreover, renewable energy sources help in the elimination of load shedding, having a positive impact on quality of life. This research tends to acknowledge the significance of renewable energy by considering several factors. These include investment, operations and management costs, the capacity of energy production, and environmental impacts. This paper employs Fuzzy VIKOR and Fuzzy TOPSIS methods. It ranks different renewable energy alternatives on the bases of different criteria such as installation cost, operations, and maintenance cost, area required, the importance of location, return on investment, payback period, and efficiency. The outcomes of this research suggested that continued reliance on exhaustible sources of energy has negative impacts on environment, economy, and quality of life. Through this research, an energy policy will be formulated, which will not only lead us towards finding solutions to the above-stated problems but also ensure sustainable and viable future for generations to come.

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Abbreviations

MCDM:

Multi-criteria decision making

TOPSIS:

Technique for order performance by similarity to ideal solution

PIS:

Positive ideal solution

NIS:

Negative ideal solution

CSP:

Concentrated solar power

PV:

Photovoltaic

REN21:

The renewable energy for the twenty-first century

BNPi:

Best non-fuzzy performance

COA:

Center of area

LoI:

Letter of intent

AEDB:

Alternative energy development board

O&M:

Operations and maintenance

IFC:

International finance corporation

LCOE:

Levelised cost of electricity

IRENA:

International renewable energy agency

MW:

Megawatt

NJP:

Neelum Jhelum hydropower plant

RES:

Renewable energy sources

References

  • Ali Y, Butt M, Sabir M, Mumtaz U, Salman A (2018a) Selection of suitable site in Pakistan for wind power plant installation using analytic hierarchy process (AHP). J Control Decis 5(2):117–128

    Article  Google Scholar 

  • Ali Y, Rasheed Z, Muhammad N, Yousaf S (2018b) Energy optimization in the wake of China Pakistan Economic Corridor (CPEC). J Control Decis 5(2):129–147

    Article  Google Scholar 

  • Begy RC, Simon H, Vasilache D, Kelemen S, Cosma C (2017) 137 Cs contamination over Transylvania region (Romania) after Chernobyl nuclear power plant accident. Sci Total Environ 599:627–636

    Article  CAS  Google Scholar 

  • Bhattacharya M, Paramati SR, Ozturk I, Bhattacharya S (2016) The effect of renewable energy consumption on economic growth: evidence from top 38 countries. Appl Energy 162:733–741

    Article  Google Scholar 

  • Capellán-Pérez I, Mediavilla M, de Castro C, Carpintero Ó, Miguel LJ (2014) Fossil fuel depletion and socio-economic scenarios: an integrated approach. Energy 77:641–666

    Article  Google Scholar 

  • Chen C-T (2000) Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Set Syst 114(1):1–9

    Article  Google Scholar 

  • Connolly D, Lund H, Mathiesen BV (2016) Smart energy Europe: the technical and economic impact of one potential 100% renewable energy scenario for the European Union. Renew Sustain Energy Rev 60:1634–1653

    Article  Google Scholar 

  • Ellabban O, Abu-Rub H, Blaabjerg F (2014) Renewable energy resources: Current status, future prospects and their enabling technology. Renew Sustain Energy Rev 39:748–764

    Article  Google Scholar 

  • European Commission (2015) Report From The Commission To The European Parliament, The Council, The European Economic and Social Committee and The Committee Of The Regions. s.n, Brussels

  • Federal Ministry for Economic Affairs and Energy (2018) Renewable energy sources in figure: national and international development. Berlin: Federal Ministry for Economic Affairs and Energy. Available at: https://www.bmwi.de/Redaktion/EN/Publikationen/renewable-energy-sources. Accessed 2 Aug 2018

  • Hanif M (2011) Sun solar energy. Available at: http://sunsolarpk.blogspot.com/2011/11/700-villages-to-be-electrified-with.html. Accessed 10 Feb 2018

  • Hasuike H, Yoshizawa Y, Suzuki A, Tamaura Y (2006) Study on design of molten salt solar receivers for beam-down solar concentrator. Solar Energy 80(10):1255–1262

    Article  CAS  Google Scholar 

  • Hwang CL, Yoon K (1981) Methods for multiple attribute decision making. In: Multiple attribute decision making. Springer, Berlin, pp 58–191

    Chapter  Google Scholar 

  • International Renewable Energy Agency (2012a) Renewable energy technologies: cost analysis series. Available at: https://www.irena.org/documentdownloads/publications/re_technologies_cost_analysis-solar_pv.pdf. Accessed 10 Feb 2018

  • International Renewable Energy Agency (2012b) Renewable energy technologies: cost analysis series. Available at: https://www.irena.org/documentdownloads/publications/re_technologies_cost_analysis-hydropower.pdf. Accessed 10 Feb 2018

  • Ishfaq S, Ali S, Ali Y (2018) Selection of optimum renewable energy source for energy sector in Pakistan by using MCDM approach. Process Integr Optim Sustain 2(1):61–71

    Article  Google Scholar 

  • Jacobs D (2016) Renewable energy policy convergence in the EU: the evolution of feed-in tariffs in Germany, Spain and France. Routledge

  • Khalil HB, Zaidi SJH (2014) Energy crisis and potential of solar energy in Pakistan. Renew Sustain Energy Rev 31:194–201

    Article  Google Scholar 

  • Logiuratto E (2016) Brazil uses dammed lake surface for floating solar panels. Available at: https://phys.org/news/2016-03-brazil-lake-surface-solar-panels.html. Accessed 28 Oct 2017

  • Lund H (2007) Renewable energy strategies for sustainable development. Energy 32(6):912–919

    Article  Google Scholar 

  • Mills PS (2016) The evolving land rights of the Sami people: 30 years after the Chernobyl disaster

  • Mumtaz U, Ali Y, Petrillo A, De Felice F (2018) Identifying the critical factors of green supply chain management: environmental benefits in Pakistan. Sci Total Environ 640:144–152

    Article  CAS  Google Scholar 

  • Nawaz S, Ali Y (2018) Factors affecting the performance of water treatment plants in Pakistan. Water Conserv Sci Eng 3:1–13

    Article  Google Scholar 

  • Opricovic S (1998) Multicriteria optimization of civil engineering systems. Fac Civil Eng Belgrade 2(1):5–21

    Google Scholar 

  • Rogel A, Motreff Y, Pirard P, Bernier MO, Clero E, Laurier D (2016) Epidemiology of thyroid cancer 30 years after the Chernobyl disaster: occurrence, risk factors and impact of diagnostic practices. Bull Epidemiol Hebdomadaire, 200–206

  • Scarlat N, Dallemand JF, Monforti-Ferrario F, Banja M, Motola V (2015) Renewable energy policy framework and bioenergy contribution in the European Union–an overview from national renewable energy action plans and progress reports. Renew Sustain Energy Rev 51:969–985

    Article  Google Scholar 

  • Shahan Z (2011) Cost of wind power—Kicks Coal’s Butt, better than natural gas (& could power your EV for $0.70/gallon). Available at: https://cleantechnica.com/2011/05/01/cost-of-wind-power-kicks-coals-butt-better-than-natural-gas-could-power-your-ev-for-0-70gallon/. Accessed 10 Feb 2018

  • Shahbaz M (2015) Measuring economic cost of electricity shortage: current challenges and future prospects in Pakistan

  • Shahbaz M, Loganathan N, Zeshan M, Zaman K (2015) Does renewable energy consumption add in economic growth? An application of auto-regressive distributed lag model in Pakistan. Renew Sustain Energy Rev 44:576–585

    Article  Google Scholar 

  • Thomson H, Kempton W (2017) Perceptions and attitudes of residents living near a wind turbine compared with those living near a coal power plant. Renew Energy 123:301–311

    Article  Google Scholar 

  • U.S. Energy Information Administration (2017) How much does it cost to generate electricity with different types of power plants? Available at: https://www.eia.gov/tools/faqs/faq.php?id=19&t=3. Accessed 28 Oct 2017

  • Wang Y-J, Lee H-S (2007) Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Comput Math Appl 53(11):1762–1772

    Article  Google Scholar 

  • Warburg P (2016) Floating solar: a win-win for drought-stricken lakes in U.S. Available at: http://e360.yale.edu/features/floating_solar_a_win-win_for_drought-stricken_lakes_in_us. Accessed 28 Oct 2017

  • World Nuclear Association (2016) Nuclear power in Italy. Available at: http://www.world-nuclear.org/information-library/country-profiles/countries-g-n/italy.aspx. Accessed 28 Oct 2017

  • Yang T, Hung CC (2007) Multiple-attribute decision making methods for plant layout design problem. Robot Comput Integr Manuf 23:126–137

    Article  Google Scholar 

  • Zaigham N, Nayyer Z (2004) PROSPECTS OF RENEWABLE ENERGY SOURCES IN PAKISTAN. Lahore, COMSATS Lahore, pp. 65–81

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Authors and Affiliations

  1. Faculty of Management Sciences, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi, KPK, Pakistan

    Muhammad Razi

  2. Department of Management Sciences, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi, KPK, Pakistan

    Yousaf Ali

Authors
  1. Muhammad Razi
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  2. Yousaf Ali
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Correspondence to Yousaf Ali.

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Razi, M., Ali, Y. Ranking renewable energy production methods based on economic and environmental criteria using multi-criteria decision analysis. Environ Syst Decis 39, 198–213 (2019). https://doi.org/10.1007/s10669-018-9713-6

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  • DOI: https://doi.org/10.1007/s10669-018-9713-6

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