Understanding Correlated Threats to Department of Defense Energy Systems

Climate change poses an existential threat to the United States military’s energy systems. We researched current trends in energy, economics, and weather, translating those trends into quantifiable threats to the military’s secondary power systems. We also assembled a data set about secondary power...

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Bibliographic Details
Main Author: Adams, Katherine E.
Other Authors: Roozbehani, Mardavij
Format: Thesis
Published: Massachusetts Institute of Technology 2022
Online Access:https://hdl.handle.net/1721.1/139375
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author Adams, Katherine E.
author2 Roozbehani, Mardavij
author_facet Roozbehani, Mardavij
Adams, Katherine E.
author_sort Adams, Katherine E.
collection MIT
description Climate change poses an existential threat to the United States military’s energy systems. We researched current trends in energy, economics, and weather, translating those trends into quantifiable threats to the military’s secondary power systems. We also assembled a data set about secondary power systems on domestic U.S. military bases. Because that data set was missing critical information, we formulated and then evaluated an imputation method to complete the data set. This imputation method successfully predicted expected cost for the missing installation data. We ran simulations using our quantified trends and data set on existing software to predict the effects of those trends on certain U.S. military bases. Ultimately, we identified threats that could potentially cost 150 million dollars and cause more than a week of additional electrical downtime for those select bases.
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spelling mit-1721.1/1393752022-01-15T04:03:57Z Understanding Correlated Threats to Department of Defense Energy Systems Adams, Katherine E. Roozbehani, Mardavij Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Climate change poses an existential threat to the United States military’s energy systems. We researched current trends in energy, economics, and weather, translating those trends into quantifiable threats to the military’s secondary power systems. We also assembled a data set about secondary power systems on domestic U.S. military bases. Because that data set was missing critical information, we formulated and then evaluated an imputation method to complete the data set. This imputation method successfully predicted expected cost for the missing installation data. We ran simulations using our quantified trends and data set on existing software to predict the effects of those trends on certain U.S. military bases. Ultimately, we identified threats that could potentially cost 150 million dollars and cause more than a week of additional electrical downtime for those select bases. M.Eng. 2022-01-14T15:07:50Z 2022-01-14T15:07:50Z 2021-06 2021-11-02T13:44:53.332Z Thesis https://hdl.handle.net/1721.1/139375 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology
spellingShingle Adams, Katherine E.
Understanding Correlated Threats to Department of Defense Energy Systems
title Understanding Correlated Threats to Department of Defense Energy Systems
title_full Understanding Correlated Threats to Department of Defense Energy Systems
title_fullStr Understanding Correlated Threats to Department of Defense Energy Systems
title_full_unstemmed Understanding Correlated Threats to Department of Defense Energy Systems
title_short Understanding Correlated Threats to Department of Defense Energy Systems
title_sort understanding correlated threats to department of defense energy systems
url https://hdl.handle.net/1721.1/139375
work_keys_str_mv AT adamskatherinee understandingcorrelatedthreatstodepartmentofdefenseenergysystems