{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/115793"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/115793","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"The influence of temporal detail and inter-annual resource variability on energy planning models","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","abstract_has_math":false,"creators":["Dotson, Samuel G."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Nuclear, Plasma, Radiolgc Engr","degree_department":null,"school":null,"contributors":["Munk, Madicken","Stubbins, James F"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:24:55Z","subjects":["Advanced Nuclear","Energy Systems","Linear Programming","Temporal Complexity","Resource Variability"],"languages":["en","eng"],"rights":["Copyright 2022 Samuel G. Dotson"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/115793","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Munk, Madicken","Stubbins, James F"]},{"key":"dc:creator","label":"Author","values":["Dotson, Samuel G."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-05","2022-04-29"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Nuclear, Plasma, Radiolgc Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Advanced Nuclear","Energy Systems","Linear Programming","Temporal Complexity","Resource Variability"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Samuel G. Dotson"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/115793"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","The student, Samuel Dotson, accepted the attached license on 2022-04-27 at 15:41.","The student, Samuel Dotson, submitted this Thesis for approval on 2022-04-27 at 15:54.","This Thesis was approved for publication on 2022-04-29 at 11:00.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17982 on 2022-11-11 at 17:54:04","Decarbonizing the United States energy system is a challenging task. The situation is exacerbated by the lack of strong federal climate policy, leaving individual states and institutions to drive the energy sector towards net-zero carbon emissions. ESOM tools use linear programming to develop policy insights that may help achieve full decarbonization. However, there is a widely recognized tradeoff between model complexity and computational cost. Adding spatial, temporal, and technological details make these models more realistic, but may make them computationally intractable. Previously, most ESOM studies prioritize technology options over spatial or temporal detail. This choice emphasizes the role of technology costs, such as fuel and capital costs, on energy policy without considering operational challenges. This thesis uses the ESOM, Temoa to model Illinois’ and the University of Illinois’ energy systems and develops the PyGenesys tool to facilitate sensitivity analysis. The sensitivities considered in this work are temporal resolution and the annual capacity factors of wind and solar energy, or the inter-annual variability. The results of the time resolution study showed that any temporal aggregation above an hourly level may generate misleading results that minimizes the roles of firm clean power and energy storage. Additionally, the role of wind energy is overestimated in models with less temporal detail, and the roles of solar energy and advanced nuclear reactors are underestimated. The study of inter-annual variability showed that energy systems with majority variable intermittent renewables, such as solar and wind, that exclude clean firm power from nuclear power plants exhibit higher energy costs with nearly 63 times the variance of systems that use a majority of clean firm power. Additionally, the amount of capacity necessary to meet electricity demand is greater and more uncertain in systems with high renewable penetration. Finally, based on the results in each of the sensitivity analyses, this thesis recommends that Illinois continues supporting its existing nuclear fleet with “zero emissions credits” and expand clean firm capacity with advanced nuclear reactors by lifting the moratorium on new nuclear builds."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["The influence of temporal detail and inter-annual resource variability on energy planning models"]}]}],"canonical_facts":{"dc:contributor":["Munk, Madicken","Stubbins, James F"],"dc:creator":["Dotson, Samuel G."],"dc:date":["2022-05","2022-04-29"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","The student, Samuel Dotson, accepted the attached license on 2022-04-27 at 15:41.","The student, Samuel Dotson, submitted this Thesis for approval on 2022-04-27 at 15:54.","This Thesis was approved for publication on 2022-04-29 at 11:00.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17982 on 2022-11-11 at 17:54:04","Decarbonizing the United States energy system is a challenging task. The situation is exacerbated by the lack of strong federal climate policy, leaving individual states and institutions to drive the energy sector towards net-zero carbon emissions. ESOM tools use linear programming to develop policy insights that may help achieve full decarbonization. However, there is a widely recognized tradeoff between model complexity and computational cost. Adding spatial, temporal, and technological details make these models more realistic, but may make them computationally intractable. Previously, most ESOM studies prioritize technology options over spatial or temporal detail. This choice emphasizes the role of technology costs, such as fuel and capital costs, on energy policy without considering operational challenges. This thesis uses the ESOM, Temoa to model Illinois’ and the University of Illinois’ energy systems and develops the PyGenesys tool to facilitate sensitivity analysis. The sensitivities considered in this work are temporal resolution and the annual capacity factors of wind and solar energy, or the inter-annual variability. The results of the time resolution study showed that any temporal aggregation above an hourly level may generate misleading results that minimizes the roles of firm clean power and energy storage. Additionally, the role of wind energy is overestimated in models with less temporal detail, and the roles of solar energy and advanced nuclear reactors are underestimated. The study of inter-annual variability showed that energy systems with majority variable intermittent renewables, such as solar and wind, that exclude clean firm power from nuclear power plants exhibit higher energy costs with nearly 63 times the variance of systems that use a majority of clean firm power. Additionally, the amount of capacity necessary to meet electricity demand is greater and more uncertain in systems with high renewable penetration. Finally, based on the results in each of the sensitivity analyses, this thesis recommends that Illinois continues supporting its existing nuclear fleet with “zero emissions credits” and expand clean firm capacity with advanced nuclear reactors by lifting the moratorium on new nuclear builds."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/115793"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Samuel G. Dotson"],"dc:subject":["Advanced Nuclear","Energy Systems","Linear Programming","Temporal Complexity","Resource Variability"],"dc:title":["The influence of temporal detail and inter-annual resource variability on energy planning models"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Nuclear, Plasma, Radiolgc Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:55Z"}