(724c) Replicating Indian Point’s Energy Generation Using Renewable Energy Pathways: A Technical and Economic Stochastic Analysis | AIChE

(724c) Replicating Indian Point’s Energy Generation Using Renewable Energy Pathways: A Technical and Economic Stochastic Analysis

Authors 

Frank, J. - Presenter, State University of New York - College of Environmental Science & Forestry
Brown, T., State University of New York - College of Environmental Science & Forestry
Malmsheimer, R., State University of New York - College of Environmental Science & Forestry
Volk, T. A., SUNY College of Environmental Science and Forestry
Bhonagiri, R., State University of New York - College of Environmental Science & Forestry
McGiver, K., State University of New York - College of Environmental Science & Forestry, Syracuse, NY
Fortier, M. O., State University of New York - College of Environmental Science & Forestry
Currently, the Indian Point Nuclear Center supplies approximately 25% of New York City and its surrounding areas with electricity. This is the closest nuclear facility to New York City. For this reason, it’s imperative to keep a constant baseload power supply while keeping the surrounding area safe. The Indian Point Nuclear Center is scheduled to shutdown in 2020 and 2021. This study assesses the following five renewable energy pathways’ ability to replace Indian Point’s generation by assessing their renewable electricity productivity in terms of kWh/hectare: solar PV, willow biomass, onshore wind, onshore wind + solar PV, and onshore wind + willow biomass. More specifically, this study examines how to maximize the electricity productivity of the land while simultaneously minimizing land-use in Southeastern New York State and replicating Indian Point’s generation profile. Stochastic analysis is performed in order to achieve the most realistic financial and technical outputs. This study is novel in its stochastic analysis of renewable energy pathways to replace Indian Point’s generation.