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<p class="MsoNormal">Rajni Kant Bansal will give a follow up presentation (continuing from his May 31 presentation):<o:p></o:p></p>
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<p class="MsoNormal">Title: Impact of Storage Losses on Grid Capacity Expansion Modeling: A case study in the WECC and California region
<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Short Abstract:<o:p></o:p></p>
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<p class="MsoNormal">Energy storage, whether short-term (SDES) or long-term (LDES), is crucial to decarbonizing the electricity grid. While current capacity planning tools establish a benchmark level for future deployment, they often use an ideal model that
fails to account for losses, which can result in unintended target levels. In this work, we model the impact of storage losses, such as self-discharge loss and capacity degradation, in power systems planning. We use SWITCH WECC, a capacity expansion model
with a geographical resolution of 50 representative load zones corresponding to the 11 states in the Western Interconnect region, for various zero-emissions scenarios. Our analysis shows that capacity expansion modeling that does not account for storage losses
can overestimate the optimal energy capacity deployed by up to 70%.<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Speaker Bio:<o:p></o:p></p>
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<p class="MsoNormal">Rajni Kant Bansal works as a Postdoctoral Researcher at the Center for Energy Research at the University of California San Diego. He has a Ph.D. in Mechanical Engineering, and an M.S.E in Applied Mathematics and Statistics from Johns Hopkins
University. During his studies at JHU, he also worked alongside the Grid Operations and Planning team at the Electric Power Research Institute. Apart from this, he completed his B.Tech. in Mechanical Engineering from the Indian Institute of Technology Kanpur
and has prior experience as a financial analyst at Credit Suisse Investment Bank.<o:p></o:p></p>
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