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Optimization of Size and Operation of Energy Hub Considering Uncertainty

karvani, Mohsen | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 45699 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ranjbar, Ali Mohammad
  7. Abstract:
  8. Nowadays the growing demand for energy, and, on the other hand, the limited resources of fossil consuming energy in the world have caused the energy operation and consumption management to be taken into consideration much more than the past. Based on this background, improving the efficiency of feed conversion technologies in supplying the energy demanded by the consumers is the foremost and the most crucial solution to preventing energy loss. Another approach to reducing the losses through energy generation and transmission is the use of distributed energy generation systems in small scale. The advantages of applying this type of technology are the possibility of installing near the load centers and providing two or more sorts of energy required by the consumers. Among existing technologies, the combined heat and power production technologies is of special interest and is rapidly expanding in industrial and semi-industrial areas due to the possibility of industrial manufacturing in small-scale, simple installation, medium installation and operation costs, high thermal efficiency and utilizing clean fuel (gas). Furthermore, the thermal load which can be supplied by the central boilers is a fundamental problem and will be greatly taken into consideration in near future. Regarding the various technologies of distributed generation, for the optimal selection of these technologies, it is necessary to set up a portfolio to maximize the investor's interest. A series of converters, generators, and energy storage devices are called together an energy hub. The investment portfolio is determined considering the energy requirements of the consumers in the study area and performing uncertainty analysis. In this thesis, the main objective is modeling and determination of the optimal technologies of distributed generation in energy hubs and offering a control method for increasing the efficiency of energy hubs
  9. Keywords:
  10. Uncertainty Modeling ; Electric Motor Vehicles ; Combined Heat and Power Generation ; Stochastic Programming

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