{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/90743"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/90743","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A conceptual framework for the assessment of integrated energy storage resources","abstract":"Concerns regarding climate change impacts, energy security and sustainability are key drivers of the growing deployment of renewable energy resources. The variability, uncertainty and intermittency associated with the integration of these resources make the operation of the conventional power grid particularly challenging. Energy storage resources (ESRs) are one of the most promising solutions to address these challenges. The unique and versatile nature of storage finds its use in applications over a broad time spectrum. Furthermore, fast acting storage helps smoothen out the variable renewable output, minimize spillage of clean energy and manage the steep ramps associated with renewable energy integration. Storage also finds its use across all three domains of the electrical network, i.e., generation, transmission and distribution. Cost reductions, technological innovations and regulatory initiatives have invigorated the interest in storage. However, the rapid growth of the storage sector is met by daunting challenges to the implementation of storage in the grid, especially since storage is very different from the conventional grid assets. The nature of storage is unique and its implementation has to be treated as such to fully harness the value it brings to the system it is integrated into. To this end, we outline a framework in this thesis for the integration of energy storage resources into the grid. The framework provides a systematic construct to study the various aspects of ESR integration in a system. The framework is comprehensive as it reflects the physical, information, environmental and financial aspects of storage operations. The thrust of the framework is its flexibility to accommodate the wide range of applications that storage provides on different time-scales. Furthermore, the framework explicitly captures the nature of deployment of storage for a particular application and shows the necessary interactions between ESR and the various players that interact with the ESR. Case studies to illustrate the implementation of the information, environmental and financial layers of the framework are also presented in the thesis. The studies and their results establish that the framework is an extremely useful construct for the development of tools and models to aid in planning and operational studies and the formulation of policy and incentives and as such, is helpful in bringing the vision of energy storage closer to reality.","abstract_html":"Concerns regarding climate change impacts, energy security and sustainability are key drivers of the growing deployment of renewable energy resources. The variability, uncertainty and intermittency associated with the integration of these resources make the operation of the conventional power grid particularly challenging. Energy storage resources (ESRs) are one of the most promising solutions to address these challenges. The unique and versatile nature of storage finds its use in applications over a broad time spectrum. Furthermore, fast acting storage helps smoothen out the variable renewable output, minimize spillage of clean energy and manage the steep ramps associated with renewable energy integration. Storage also finds its use across all three domains of the electrical network, i.e., generation, transmission and distribution. Cost reductions, technological innovations and regulatory initiatives have invigorated the interest in storage. However, the rapid growth of the storage sector is met by daunting challenges to the implementation of storage in the grid, especially since storage is very different from the conventional grid assets. The nature of storage is unique and its implementation has to be treated as such to fully harness the value it brings to the system it is integrated into. To this end, we outline a framework in this thesis for the integration of energy storage resources into the grid. The framework provides a systematic construct to study the various aspects of ESR integration in a system. The framework is comprehensive as it reflects the physical, information, environmental and financial aspects of storage operations. The thrust of the framework is its flexibility to accommodate the wide range of applications that storage provides on different time-scales. Furthermore, the framework explicitly captures the nature of deployment of storage for a particular application and shows the necessary interactions between ESR and the various players that interact with the ESR. Case studies to illustrate the implementation of the information, environmental and financial layers of the framework are also presented in the thesis. The studies and their results establish that the framework is an extremely useful construct for the development of tools and models to aid in planning and operational studies and the formulation of policy and incentives and as such, is helpful in bringing the vision of energy storage closer to reality.","abstract_has_math":false,"creators":["Manjunath, Archana Shivaram"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Sauer, Peter"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-07-07T20:27:12Z","date_published":"2016-07-07T20:27:12Z","updated_at":"2026-07-22T22:26:34Z","subjects":["Energy storage","framework","emissions","security","levelized costs of energy (LCOE)","electric vehicles"],"languages":["en"],"rights":["Copyright 2016 Archana Manjunath"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/90743","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sauer, Peter"]},{"key":"dc:creator","label":"Author","values":["Manjunath, Archana Shivaram"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-07-07T20:27:12Z","2018-07-08T09:15:20Z","2016-04-13","2016-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer 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":["Energy storage","framework","emissions","security","levelized costs of energy (LCOE)","electric vehicles"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Archana Manjunath"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/90743"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Concerns regarding climate change impacts, energy security and sustainability are key drivers of the growing deployment of renewable energy resources. The variability, uncertainty and intermittency associated with the integration of these resources make the operation of the conventional power grid particularly challenging. Energy storage resources (ESRs) are one of the most promising solutions to address these challenges. The unique and versatile nature of storage finds its use in applications over a broad time spectrum. Furthermore, fast acting storage helps smoothen out the variable renewable output, minimize spillage of clean energy and manage the steep ramps associated with renewable energy integration. Storage also finds its use across all three domains of the electrical network, i.e., generation, transmission and distribution. Cost reductions, technological innovations and regulatory initiatives have invigorated the interest in storage. However, the rapid growth of the storage sector is met by daunting challenges to the implementation of storage in the grid, especially since storage is very different from the conventional grid assets. The nature of storage is unique and its implementation has to be treated as such to fully harness the value it brings to the system it is integrated into. To this end, we outline a framework in this thesis for the integration of energy storage resources into the grid. The framework provides a systematic construct to study the various aspects of ESR integration in a system. The framework is comprehensive as it reflects the physical, information, environmental and financial aspects of storage operations. The thrust of the framework is its flexibility to accommodate the wide range of applications that storage provides on different time-scales. Furthermore, the framework explicitly captures the nature of deployment of storage for a particular application and shows the necessary interactions between ESR and the various players that interact with the ESR. Case studies to illustrate the implementation of the information, environmental and financial layers of the framework are also presented in the thesis. The studies and their results establish that the framework is an extremely useful construct for the development of tools and models to aid in planning and operational studies and the formulation of policy and incentives and as such, is helpful in bringing the vision of energy storage closer to reality.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-05-01","The student, Archana Manjunath, accepted the attached license on 2016-04-09 at 13:31.","The student, Archana Manjunath, submitted this Thesis for approval on 2016-04-09 at 13:43.","This Thesis was approved for publication on 2016-04-13 at 11:07.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9172 on 2016-07-07 at 13:49:01","Made available in DSpace on 2016-07-07T20:27:12Z (GMT). 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The variability, uncertainty and intermittency associated with the integration of these resources make the operation of the conventional power grid particularly challenging. Energy storage resources (ESRs) are one of the most promising solutions to address these challenges. The unique and versatile nature of storage finds its use in applications over a broad time spectrum. Furthermore, fast acting storage helps smoothen out the variable renewable output, minimize spillage of clean energy and manage the steep ramps associated with renewable energy integration. Storage also finds its use across all three domains of the electrical network, i.e., generation, transmission and distribution. Cost reductions, technological innovations and regulatory initiatives have invigorated the interest in storage. However, the rapid growth of the storage sector is met by daunting challenges to the implementation of storage in the grid, especially since storage is very different from the conventional grid assets. The nature of storage is unique and its implementation has to be treated as such to fully harness the value it brings to the system it is integrated into. To this end, we outline a framework in this thesis for the integration of energy storage resources into the grid. The framework provides a systematic construct to study the various aspects of ESR integration in a system. The framework is comprehensive as it reflects the physical, information, environmental and financial aspects of storage operations. The thrust of the framework is its flexibility to accommodate the wide range of applications that storage provides on different time-scales. Furthermore, the framework explicitly captures the nature of deployment of storage for a particular application and shows the necessary interactions between ESR and the various players that interact with the ESR. Case studies to illustrate the implementation of the information, environmental and financial layers of the framework are also presented in the thesis. The studies and their results establish that the framework is an extremely useful construct for the development of tools and models to aid in planning and operational studies and the formulation of policy and incentives and as such, is helpful in bringing the vision of energy storage closer to reality.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-05-01","The student, Archana Manjunath, accepted the attached license on 2016-04-09 at 13:31.","The student, Archana Manjunath, submitted this Thesis for approval on 2016-04-09 at 13:43.","This Thesis was approved for publication on 2016-04-13 at 11:07.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9172 on 2016-07-07 at 13:49:01","Made available in DSpace on 2016-07-07T20:27:12Z (GMT). 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