{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/70735"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/70735","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Regional Coordination in Electricity Supply and Investment Financing","abstract":"The particular models formulated in this dissertation are designed to address the problem of determining optimum strategies for guiding utility industry investment planning in the face of: (1) anticipated changes in electricity rate structures; (2) the large number and high costs of various power generation activities; and (3) the corresponding large number, high costs and complexities of different technical alternatives for controlling the environmental consequences associated with power generation activities. Inputs into the models include information on unit costs and resource requirements; current and potential locations; pollutant emission rates and emission controls for existing and potential power generation activities; seasonal electricity loads; and economic and demographic variables. The models determine the optimal sizes, types, locations, and pollution control alternatives for power generation activities needed to meet future demands for electricity.","abstract_html":"The particular models formulated in this dissertation are designed to address the problem of determining optimum strategies for guiding utility industry investment planning in the face of: (1) anticipated changes in electricity rate structures; (2) the large number and high costs of various power generation activities; and (3) the corresponding large number, high costs and complexities of different technical alternatives for controlling the environmental consequences associated with power generation activities. Inputs into the models include information on unit costs and resource requirements; current and potential locations; pollutant emission rates and emission controls for existing and potential power generation activities; seasonal electricity loads; and economic and demographic variables. The models determine the optimal sizes, types, locations, and pollution control alternatives for power generation activities needed to meet future demands for electricity.","abstract_has_math":false,"creators":["Wu, Chunchi"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Economics","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-12-16T04:04:50Z","date_published":"2014-12-16T04:04:50Z","updated_at":"2026-07-22T22:26:03Z","subjects":["Economics, General"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(UMI)AAI8303030"],"render_values":[{"text":"(UMI)AAI8303030","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/70735","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Wu, Chunchi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-12-16T04:04:50Z","10000-01-01","1982"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Economics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Economics, General"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/70735","(UMI)AAI8303030"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The particular models formulated in this dissertation are designed to address the problem of determining optimum strategies for guiding utility industry investment planning in the face of: (1) anticipated changes in electricity rate structures; (2) the large number and high costs of various power generation activities; and (3) the corresponding large number, high costs and complexities of different technical alternatives for controlling the environmental consequences associated with power generation activities. Inputs into the models include information on unit costs and resource requirements; current and potential locations; pollutant emission rates and emission controls for existing and potential power generation activities; seasonal electricity loads; and economic and demographic variables. The models determine the optimal sizes, types, locations, and pollution control alternatives for power generation activities needed to meet future demands for electricity.","Made available in DSpace on 2014-12-16T04:04:50Z (GMT). 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Inputs into the models include information on unit costs and resource requirements; current and potential locations; pollutant emission rates and emission controls for existing and potential power generation activities; seasonal electricity loads; and economic and demographic variables. The models determine the optimal sizes, types, locations, and pollution control alternatives for power generation activities needed to meet future demands for electricity.","Made available in DSpace on 2014-12-16T04:04:50Z (GMT). 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