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Strategic power plant investment planning under fuel and carbon price uncertainty

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The profitability of power plant investments depends strongly on uncertain fuel and carbon prices. In this doctoral thesis, we combine fundamental electricity market models with stochastic dynamic programming to evaluate power plant investments under uncertainty. The application of interpolation-based stochastic dynamic programming and approximate dynamic programming allows us to consider a greater variety of stochastic fuel and carbon price scenarios compared to other approaches
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Detail Information

Series Title

-

Call Number

650 GEI s

Publisher

: KIT Scientific Publishing., 2011

Collation

-

Language

English

ISBN/ISSN

978-3-86644-633-5

Classification

650

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Business and management

Specific Detail Info

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Statement of Responsibility

Ansgar Geiger

Other Information

Cataloger

Jemadi

Source

-

Validator

maya

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