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dc.contributor.authorDeshmukh, Ranjit Amod
dc.date2013/2015
dc.date.accessioned2017-11-01T17:27:33Z
dc.date.available2017-11-01T17:27:33Z
dc.date.issued2016
dc.identifier.citationDeshmukh, Ranjit Amod.(2016).High-Resolution, Stochastic Electricity System Models are Key to Driving Low Carbon Policies in India.(Link Foundation Fellowship Final Reports: Energy Program.) Retrieved from The Scholarship Repository of Florida Institute of Technology website: https://repository.lib.fit.edu/en_US
dc.identifier.urihttp://hdl.handle.net/11141/2156
dc.descriptiongeospatial technique, energy economics, solar photovoltaic,en_US
dc.description.abstractWind and solar generation sources have the potential to significantly replace fossil fuel-based generation in electricity grids and mitigate anthropogenic climate change. Their rapidly decreasing costs, along with policy incentives, have made them the world’s fastest growing generation sources. With the support of the Link Foundation Fellowship, I focused on the first topic of my dissertation – Multicriteria Analysis for Planning Renewable Energy. Under this topic, I conducted two studies in collaboration with colleagues at the Lawrence Berkeley National Laboratory, University of California at Berkeley, and the International Renewable Energy Agency. One focused on 20 countries in the Eastern and Southern African Power Pools (Wu et al. 2017) and the other on India (Deshmukh et al. 2017). Both study regions are expected to double or triple their electricity demand by 2030 from present levels. Policymakers and planners have the option to meet this demand through conventional generation sources such as coal and large hydro, or via much more environment and climate-friendly sources of wind and solar. Our studies show that strategic site selection can help identify “no-regrets” siting options – or those that are low cost, low impact, and highly accessible and thus can be justified from multiple-stakeholder perspectives of risk – and make wind and solar viable alternatives for large-scale development.en_US
dc.language.isoen_USen_US
dc.rights© 2016. the authoren_US
dc.rights.urihttps://repository.lib.fit.edu/handle/11141/1665en_US
dc.titleHigh-Resolution, Stochastic Electricity System Models are Key to Driving Low Carbon Policies in India.en_US
dc.typeTechnical Reporten_US
dc.identifier.doihttp://hdl.handle.net/11141/2155
thesis.degree.levelDoctoral
thesis.degree.disciplineEnergy and Resources
thesis.degree.grantorUniversity of California, Berkeley


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