Nagendra, Narayan Prasad, Narayanamurthy, Gopalakrishnan 
ORCID: 0000-0002-3119-5248, Moser, Roger and Singh, Akshit ORCID: 0000-0001-6498-4190
(2022)
Open innovation using satellite imagery for initial site assessment of solar photovoltaic projects.
IEEE Transactions on Engineering Management, 69 (2).
pp. 1-13.
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Abstract
One of the responses to the fight against climate change by the developing world has been the large-scale adoption of solar energy. The adoption of solar energy in countries like India is propagating mainly through the development of energy producing photovoltaic farms. The realization of solar energy producing sites involves complex decisions and processes in the selection of sites whose knowhow may not rest with all the stakeholders supporting (e.g., banks financing the project) the industry value chain. In this article, we use the region of Bangalore in India as the case study to present how open innovation using satellite imagery can provide the necessary granularity to specifically aid in an independent initial assessment of the solar photovoltaic sites. We utilize the established analytical hierarchy process over the information extracted from open satellite data to calculate an overall site suitability index. The index takes into account the topographical, climatic, and environmental factors. Our results explain how the intervention of satellite imagery-based big data analytics can help in buying the confidence of investors in the solar industry value chain. Our study also demonstrates that open innovation using satellites can act as a platform for social product development.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | photovoltaic systems, satellites, industries, technological innovation, solar energy, renewable energy sources, big data analytics, energy, open innovation, satellite imagery, solar industry |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 22 Nov 2019 08:42 |
| Last Modified: | 19 Jan 2023 00:19 |
| DOI: | 10.1109/TEM.2019.2955315 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3062957 |
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