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Strategic Power Plant Investment Planning Under Fuel and Carbon Price Uncertainty
Ansgar Geiger
2011
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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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Keywords
- Approximate Dynamic Programming
- Dynamic programming
- Fundamental Electricity Market Models
- Power Plant Investment Planning
- Real Options
Links
DOI: 10.5445/KSP/1000021824Editions