E4ST : modeling, simulation and benefit-cost analysis tools for power system planning and policy analysis
Authors
Mao, Biao
ORCID
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Other Contributors
Simons, Kenneth L.
Shawhan, Daniel L.
Duchin, Faye, 1944-
Zimmerman, Brian E.
Shawhan, Daniel L.
Duchin, Faye, 1944-
Zimmerman, Brian E.
Issue Date
2017-05
Keywords
Economics
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
To 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.
Description
May 2017
School of Humanities, Arts, and Social Sciences
School of Humanities, Arts, and Social Sciences
Department
Dept. of Economics
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.