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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorSimons, Kenneth L.
dc.contributorShawhan, Daniel L.
dc.contributorDuchin, Faye, 1944-
dc.contributorZimmerman, Brian E.
dc.contributor.authorMao, Biao
dc.date.accessioned2021-11-03T09:20:32Z
dc.date.available2021-11-03T09:20:32Z
dc.date.created2021-01-06T10:12:07Z
dc.date.issued2017-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/2572
dc.descriptionMay 2017
dc.descriptionSchool of Humanities, Arts, and Social Sciences
dc.description.abstractThis dissertation explains the detailed mathematic formulation of E4ST. It then presents a validation exercise by comparing the model’s predictions against actual outcome data from the North American Eastern Interconnection.
dc.description.abstractTo better examine and predict policy effects and assist decision-making in the power system, this dissertation presents a new model called the Engineering, Economic, and Environmental Electricity Simulation Tool (E4ST), which can be used to simulate the long-term operation and investment in the power system. Based on the simulation results, a benefit and cost analysis can be made to estimate the effects of electricity and environmental policies, as well as of changes in the power system.
dc.description.abstractFinally, E4ST is used to explore the impacts of three types of model sophistica-tion on the effects of a US Renewable Energy Portfolio Standard. Those types of sophistication are long-run price-responsive load, temporal granularity in wind and solar availability factors, and fuel price uncertainty.
dc.description.abstractFurthermore, E4ST shows great advantages and capability as a cost and benefit analysis tool to simulate a large number of available options for the offshore wind farms that are proposed to be built along the US east coast and west coast. These options are simulated under the consideration of several uncertainties such as future fuel prices and environmental policies.
dc.description.abstractSimulating the effects of policies on the power system in a manner that matches the real processes that determine the outcomes is complicated because those processes involve detailed interactions of technical, economic and environmental considerations. Uncertainties further complicate the endeavor.
dc.description.abstractPower system planning includes decision-making about new transmission lines as well as new generation capacity, which are influenced by the electricity policies and the environmental policies that affect the power system.
dc.description.abstractPolicy analysis in power systems involves estimating and examining the effects of electricity policies and environmental policies that apply to the power system. It plays an important role in the operation and planning of the power system because these policies may have large impacts on the electricity prices, generator retirements, and investments, as well as on emissions and the corresponding damages to environment and society.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectEconomics
dc.titleE4ST : modeling, simulation and benefit-cost analysis tools for power system planning and policy analysis
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid180210
dc.digitool.pid180211
dc.digitool.pid180212
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreePhD
dc.relation.departmentDept. of Economics


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