Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/6266
Title: Diffusion modelling of selected renewable energy technologies in India
Researcher: Rao, K Usha
Guide(s): Kishore, V V N
Keywords: renewable energy
Energy
Environment
Upload Date: 9-Jan-2013
University: Teri University
Completed Date: 2010
Abstract: Many developing countries are increasingly making commitments to promote low carbon economy by adopting sustainable energy technologies. Diffusion and large-scale adoption of renewable energy and energy conservation technologies have enormous potential to mitigate carbon emissions. The estimated technical potential of renewable power alone in India is over 100,000 MW. India s adoption of a 15% renewable energy is likely to avoid about 1.3 Giga Tonnes of CO2 emissions during the period 2010-2020. Since 1970s, the Government of India has made significant allocation of capital resources as well as institutional and policy support to the development and deployment of renewable energy technologies. However, renewable energy technology adoptions are not widespread. There are several factors that influence their diffusion in a given market. Diffusion studies have been mainly limited to private sector initiatives and commercial goods or services. There is a gap in literature with respect to a theoretical basis for understanding the underlying factors that contributes to successful diffusion of renewable energy technologies. Though several policy instruments are designed to support the diffusion process of RETs, their influences on the extent of diffusion is not studied. This thesis presents an approach to apply diffusion modeling technique to review policies supporting RET deployment and possibly use diffusion parameters to provide inputs for designing future programmes. Two RETs, wind power and biogas are selected for detailed analysis. The Bass diffusion model is applied to estimate the diffusion parameters by forcing the diffusion of RETs to follow S curve. The diffusion parameters are estimated and used to compare the two distinct policy regimes market mechanisms in the case of wind energy sector and social orientation for biogas sector. Wind energy sector receives several financial and fiscal incentives, whereas biogas is influenced by the social goals and supported through direct capital subsidy.
Pagination: 178p.
URI: http://hdl.handle.net/10603/6266
Appears in Departments:Centre for Bioresources and Biotechnology

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02_certificate.pdf52.2 kBAdobe PDFView/Open
03_research committee.pdf51.03 kBAdobe PDFView/Open
04_acknowledgements.pdf75.84 kBAdobe PDFView/Open
05_contents.pdf124.16 kBAdobe PDFView/Open
06_list of figures.pdf80.44 kBAdobe PDFView/Open
07_list of tables.pdf82.21 kBAdobe PDFView/Open
08_list of symbols.pdf65.28 kBAdobe PDFView/Open
09_acronyms.pdf68.14 kBAdobe PDFView/Open
10_abstract.pdf69.66 kBAdobe PDFView/Open
11_chapter 1.pdf148.16 kBAdobe PDFView/Open
12_chapter 2.pdf257.4 kBAdobe PDFView/Open
13_chapter 3.pdf886.81 kBAdobe PDFView/Open
14_chapter 4.pdf815.18 kBAdobe PDFView/Open
15_chapter 5.pdf268.47 kBAdobe PDFView/Open
16_chapter 6.pdf192.76 kBAdobe PDFView/Open
17_chapter 7.pdf145.85 kBAdobe PDFView/Open
18_references.pdf118.14 kBAdobe PDFView/Open
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