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"Climate Change Impact on Hydropower Generation"

Ansari, Sajedeh | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 43045 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Abrishamchi, Ahmad
  7. Abstract:
  8. Industry Success leads to the use of fossil fuels in communities that result to climate change in the world. Among these effects, there is the effect on the severity, extent and duration of precipitation. Hydroelectric plants are clean and cheap energy resources in the world that due to the use of water, the phenomenon of climate change are very impressionable. Regarding high costs of construction and maintenance of these dams in order to exploit their lengthy; Impact of climate change on them is important issue.
    In this research, first a nonlinear optimization model to maximize hydroelectric power generation by genetic algorithms in the MATLAB software environment has been developed. The model that has been developed is called genetic algorithm. In addition, a non-linear model in LINGO software environment in order to the production of hydroelectric power was generated and the performance of two models was evaluated. In this study the Karkheh river basin was used. This basin is the second largest basin in the West and South West of Iran. This complex reservoir system consists of 6 large storage tank that has size about twenty-one billion cubic meters. After running the model with Karkheh River Basin input data, the proposed genetic algorithm has much better answer than the second model. Finally, for different climate change time series, the effects of climate change that previously made was used. In this context, several models have been implemented to obtain the best parameters for time series models. The model was running 10 times with the best parameters obtained and among them, the best answer was chosen as the final answer. The results indicate that the highest climate change impact is happening under AB1s scenario and B1c scenario also has the least effect on reducing the production of hydroelectric energy
  9. Keywords:
  10. Climate Change ; Optimization ; Genetic Algorithm ; Karkheh Dam River Basin ; Hydroelectric Power Plant

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