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Renewable energy technology diffusion model for techno-economics feasibility

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  • Kumar, Rajesh
  • Agarwala, Arun

Abstract

Diffusion of Renewable Energy Technologies (RETs) governs by the status of technology in terms of efficiency and techno-economical feasibility. The states plan for the deployment of resources for the development with special reference to sustainable environment. The demand and supply energy model help to provide more focus on the long term goals. The theory of diffusion modeling allows analysis of diffusion processes and study of growth rates of different technologies and underlying diffusion factors of the particular states, particularly for Indian 8 National Missions implication factors concerning to National Action Plan for Climate Change (NAPCC).

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  • Kumar, Rajesh & Agarwala, Arun, 2016. "Renewable energy technology diffusion model for techno-economics feasibility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1515-1524.
    • Handle: RePEc:eee:rensus:v:54:y:2016:i:c:p:1515-1524
    DOI: 10.1016/j.rser.2015.10.109
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    as
    1. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    2. Hastik, Richard & Basso, Stefano & Geitner, Clemens & Haida, Christin & Poljanec, Aleš & Portaccio, Alessia & Vrščaj, Borut & Walzer, Chris, 2015. "Renewable energies and ecosystem service impacts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 608-623.
    3. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    4. Vidhisha Vyas & K. Narayanan & A. Ramanathan, 2013. "Mergers and acquisitions, technological efforts and exports: a study of pharmaceutical sector in India," Innovation and Development, Taylor & Francis Journals, vol. 3(2), pages 169-186, October.
    5. Behera, Sasmita & Sahoo, Subhrajit & Pati, B.B., 2015. "A review on optimization algorithms and application to wind energy integration to grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 214-227.
    6. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    7. Rakesh Basant & Pankaj Chandra, 2002. "Building Technological Capabilities In A Liberalising Developing Economy: Firm Strategies And Public Policy," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(4-5), pages 399-421.
    8. Dasgupta, Shyamasree & Roy, Joyashree, 2015. "Understanding technological progress and input price as drivers of energy demand in manufacturing industries in India," Energy Policy, Elsevier, vol. 83(C), pages 1-13.
    9. Umamaheswaran, Swarnalakshmi & Rajiv, Seth, 2015. "Financing large scale wind and solar projects—A review of emerging experiences in the Indian context," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 166-177.
    10. Kumar, Rajesh & Agarwala, Arun, 2013. "Renewable Energy Certificate and Perform, Achieve, Trade mechanisms to enhance the energy security for India," Energy Policy, Elsevier, vol. 55(C), pages 669-676.
    11. Menegaki, Angeliki N., 2011. "Growth and renewable energy in Europe: A random effect model with evidence for neutrality hypothesis," Energy Economics, Elsevier, vol. 33(2), pages 257-263, March.
    12. Gopalakrishnan, S. & Damanpour, F., 1997. "A review of innovation research in economics, sociology and technology management," Omega, Elsevier, vol. 25(1), pages 15-28, February.
    13. Frank M. Bass & Trichy V. Krishnan & Dipak C. Jain, 1994. "Why the Bass Model Fits without Decision Variables," Marketing Science, INFORMS, vol. 13(3), pages 203-223.
    14. Aliyu, Abubakar Sadiq & Dada, Joseph O. & Adam, Ibrahim Khalil, 2015. "Current status and future prospects of renewable energy in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 336-346.
    15. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.
    16. Kumar, Rajesh & Agarwala, Arun, 2013. "Energy certificates REC and PAT sustenance to energy model for India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 315-323.
    17. Kar, Sanjay Kumar & Sharma, Atul, 2015. "Wind power developments in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 264-275.
    18. Rakesh Basant & Pankaj Chandra, 2002. "Building technological capabilities in a liberalising developing economy: Firm strategies and public policy," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(6), pages 1-23.
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