A Statistical Analysis and Fuzzy Logic Approach in Assessing the Performance of Wind Turbine in Ohio
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2010
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1266607469 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu12666074692021-08-03T05:58:46Z A Statistical Analysis and Fuzzy Logic Approach in Assessing the Performance of Wind Turbine in Ohio Mikail, Suleiman Civil Engineering The global demand for petroleum products has caused the rise in their cost. In fact, the cost of petroleum products to generate electricity supply to meet the United States’ energy demand is on a continuous rise. As a result, this rise in cost of petroleum products has challenged our nation to seek an alternative source of renewable energy generation. Wind energy generation is one of the fastest growing forms of electricity generation in the world today compared to other sources of renewable energy. According to the National Renewable Energy Laboratory, the United States currently generate more than 25,000 megawatts (MW) of electricity from the wind, which is enough to power electricity supply to almost 7 million homes, and experts in wind power development predict that, with proper development, wind energy could provide 20% of the nation's energy needs. To perform an assessment for a feasible wind energy project and wind turbine performance, an empirical analysis using statistical models was performed on wind speed data collected at a proposed site for wind energy development. Because of the variability in wind speed and wind turbine location, a subjective description of wind turbine location using a fuzzy logic approach was used to define the two variables, and quantify the different components and elements of the wind turbine performance and wind turbine location, and subsequently to evaluate the total wind farm development project performance using two forms of fuzzy member. Two software programs were developed using the concept of fuzzy logic, which transforms the linguistic expressions such as “Low,” “Fairly Low,” “Medium,” “Fairly High” and “High,” into mathematical representations. The two fuzzy logic models created were the “angular model” and the “triangular model,” which were used to complement the statistical models in assessing the wind turbine location and turbine performance. The angular model and triangular model incorporate users’ subjective preferences and choices based on the information available to them. This study advances the assessment of a wind energy development project by harnessing the available wind resource to help meet the nation’s goal of providing 20% of the nation electricity demand 2030. If properly implemented, wind energy development would help reduce the consumption of 4 trillion gallons of water and reduce CO2 emissions, reduce total natural gas consumption by 11%, reduce electric utility coal consumption by 18%, reduce electric utility natural gas consumption by 50% and avoid construction of 80 GW of new coal power plants through year 2030. 2010-08-20 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1266607469 http://rave.ohiolink.edu/etdc/view?acc_num=osu1266607469 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Civil Engineering |
| spellingShingle |
Civil Engineering Mikail, Suleiman A Statistical Analysis and Fuzzy Logic Approach in Assessing the Performance of Wind Turbine in Ohio |
| author |
Mikail, Suleiman |
| author_facet |
Mikail, Suleiman |
| author_sort |
Mikail, Suleiman |
| title |
A Statistical Analysis and Fuzzy Logic Approach in Assessing the Performance of Wind Turbine in Ohio |
| title_short |
A Statistical Analysis and Fuzzy Logic Approach in Assessing the Performance of Wind Turbine in Ohio |
| title_full |
A Statistical Analysis and Fuzzy Logic Approach in Assessing the Performance of Wind Turbine in Ohio |
| title_fullStr |
A Statistical Analysis and Fuzzy Logic Approach in Assessing the Performance of Wind Turbine in Ohio |
| title_full_unstemmed |
A Statistical Analysis and Fuzzy Logic Approach in Assessing the Performance of Wind Turbine in Ohio |
| title_sort |
statistical analysis and fuzzy logic approach in assessing the performance of wind turbine in ohio |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2010 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1266607469 |
| work_keys_str_mv |
AT mikailsuleiman astatisticalanalysisandfuzzylogicapproachinassessingtheperformanceofwindturbineinohio AT mikailsuleiman statisticalanalysisandfuzzylogicapproachinassessingtheperformanceofwindturbineinohio |
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