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Optimal green energy planning for sustainable development: A review

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  • Bhowmik, Chiranjib
  • Bhowmik, Sumit
  • Ray, Amitava
  • Pandey, Krishna Murari

Abstract

Globalization leads the modern world towards green sources of energy. Green energy is clean sources of energy that have a lower environmental impact compared to conventional energy technology. Green energy plays a significant role in the strategic energy planning process for any country. Regarding energy resources, India plays an important part on the world scene. However, the energy systems of the different regions and territories varied on various parameters. Therefore, a detailed green energy planning for sustainable development has been studied extensively to find the most suitable common strategy for energy management to answer the following questions: (i) which approaches were predominantly applied in a particular region? (ii) Which evaluating criteria were paid more intentness to energy planning for sustainable development in that region? (iii) Is there any inadequacy of the approaches?. Various decision-making strategies, integrated approaches, combined methods have proposed to characterize the energy management problem by different researchers. In modern power management, the performance of different green energy is evaluated against multiple criteria rather than considering a single factor-consumption. This paper reviews the various work on distinct approaches, integrated approaches, multi-criteria decision-making methods, etc., for green energy planning and scheduling problem. This research not only provides confirmation that the energy management strategies are better than the traditional methods, but also aids the researchers and decision makers in applying the procedures.

Suggested Citation

  • Bhowmik, Chiranjib & Bhowmik, Sumit & Ray, Amitava & Pandey, Krishna Murari, 2017. "Optimal green energy planning for sustainable development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 796-813.
    • Handle: RePEc:eee:rensus:v:71:y:2017:i:c:p:796-813
    DOI: 10.1016/j.rser.2016.12.105
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