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Selecting The Optimum Location for Offshore Renewable Energy Farms;(Case Study: Coasts of Bushehr Province, Persian Gulf)

Aghvami, Mohammad Hossein | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50860 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Raie, Mohammad
  7. Abstract:
  8. Limited fossil energy resources and problems with greenhouse gas emissions, has increasingly focused attentions on renewable energy as a solution to this issue. Marine energy due to the the vast amount of wind, current and wave available resources, can play a major role in providing renewable energy and reducing CO2 emissions. However, using one renewable energy, in some cases due to its high volatility and high costs is impractical. Combining different marine renewable energies, can be mentioned as a solution to increase competitiveness with fossil fuels. The aim of the current research, is to introduce a method to select the best location in terms of renewable energy farms wind, current and wave simultaneous optimum energy absorption, due to technical limitations and evaluation of available resources. For evaluation of using wind, current and wave marine renewable energies, as co-located offshore energy farms, as a case study, Persian Gulf waters near the Bushehr province coast were selected. First, due to technical and operational limitations, Includes distance to the coast and limit in the depths of the sea, a specified strip of the sea was selected as a suitable place for the construction of co-located farms. The required wind and current data were prepared using a related database and wave information was generated by numerical modeling of wind data. Then the type and arrangement of energy converters in each computational mesh unit were determined. By using wind speed, current speed, and wave height, The extractable power of three sources in each computational mesh was calculated. The results of the mesh are determined and mapped by various statistical indices. In this method, in addition to the individual evaluation of resources by mean extractable power, using the cross correlation index, the correlation between the powers of various sources combinations, was also determined. Finally considering synergy between energies and with balancing different effective parameters in selecting optimum location, two indices with the name of farm power index for single farms and co-location feasibility index for co-Located farms was introduced. As a result, by these two indices, different areas for the construction of farms was rated and the optimum areas for the construction of single farms and co-located farms was proposed. With correcting how to calculate the power of resources and co-location feasibility index, optimum location was calculated more accurately than previous work. Case study location surveys, showed that optimum location is effective 2 to 14 times on increasing farm efficiency and also combining two energy sources with low instantaneous correlation, like wind and current instead wind and wave, lead to a smoother outlet of energy. In one case study, it was shown that the combination of three resources of wind, current and wave as co-located farm, compared to a single wind farm, increased 540 percent of the firm power from 0.79 megawatts to 5.07 megawatts and reduced the down time from 42 days to 5 days per year
  9. Keywords:
  10. Wave Power ; Cross Correlation ; Renewable Energy Resources ; Wind Force ; Marine Renewable Energy ; Current Power ; Single Energy Farms ; Co-Location Feasibility Index ; Single Energy Farms

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