This project examines the complex interplay between energy storage, peak shaving strategies, and their integration within Smith College’s Geothermal initiative. With a strong emphasis on financial and environmental sustainability, the research addresses concerns related to tariffs, economic feasibility, and environmental impact. Computational models from HOMER, along with field data, were used to evaluate the performance and scalability of superconducting magnetic energy storage (SMES). The study then pivoted to adapting SMES within HOMER’s battery-specific framework to better align with the software’s capabilities. Through an in-depth assessment of grid purchases and financial advantages, the findings reveal valuable insights into how SMES could be incorporated into Smith College’s energy model beyond 2028. Notably, the results indicate potential annual utility bill savings nearing 1 million. However, refinements to the model are necessary to improve confidence in long-term projections—particularly in estimating battery-specific properties and accounting only for capital costs without operational expenses. This research was made possible through collaboration with esteemed advisors Judy Cardell and Joyce Palmer-Fortune and with significant support from the CEEDS department, at Smith College. Beyond contributing to the academic dialogue on the U. S. carbon commitment, this work provides actionable recommendations for strengthening the resilience and sustainability of Smith College’s energy infrastructure in the future.
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Asmaa Zoheiri
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Analyzing shared references across papers
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Asmaa Zoheiri (Thu,) studied this question.