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https://hdl.handle.net/2142/85952
Description
Title
Energy Economic Modeling and Optimization
Author(s)
Zhang, Junli
Issue Date
2000
Doctoral Committee Chair(s)
Singer, Clifford E.
Department of Study
Nuclear Engineering
Discipline
Nuclear Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Economics, Theory
Language
eng
Abstract
In this work, we have established a multisector utility optimization model to study energy futures. This model can be used to study energy evolution within a particular geographical region or in a number of such regions. To construct a general solution method, a one-sector economic model serves as a starting point. Population growth, labor force participation and labor productivity are assumed as exogenous inputs to a utility optimization calculation. A one-group dynamic population model is used to project population growth. With these preliminaries in hand, several computational tools are developed for the underlying model of overall economic growth. A completely numerical shooting method is developed. The computational results are extended with power series expansion methods. The effects of varying input parameters on simulation of Indian population and economic growth are examined. A maximum likelihood method is developed for calibrating parameters upon which the results depend most sensitively. In order to examine overall energy use, a two-sector model has been established to compute energy production coupled with the rest of economy. The numerical method developed for one-sector model has also been tested for the two-sector model. A multisector model suitable for examining the economic competitiveness of nuclear energy and fossil fuel is also defined to motivate this work and for possible use in future studies. This work also focuses on the development of accurate and efficient analytic and computational methods to provide a sound basis for solving multisector energy economics optimization.
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