Intelligent Decision Making Tool for Small Wind Turbines in Ohio
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The Ohio State University / OhioLINK
2011
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1306914305 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu13069143052021-08-03T06:02:58Z Intelligent Decision Making Tool for Small Wind Turbines in Ohio Nagra, Sukhdeep Civil Engineering <p>Sustainable energy use is an important factor in the construction industry’s future. Commercial and residential buildings currently consume large amounts of energy in construction and operation. Nearly all our buildings depend on a conventional grid system powered by fossil fuels that contribute to global warming. Civil engineers are obligated to find and use alternative power sources for buildings while meeting the growing demand for clean energy.</p><p>Much research has been done on the use of renewable energy sources, with solar and wind the fastest-growing. Solar and wind energy are the fastest-growing renewable energy resources. Wind power has been harnessed on a large scale by wind farm construction, using large turbines beyond the fiscal reach of an individual owner.. Small wind energy systems offer opportunities for investment and growth, suitable for individual property owners to harness wind energy affordably.</p><p>This research consists of developing an Intelligent Decision Making Tool to recommend the most suitable small wind turbine for users in Ohio. In order to help this process, this research has developed an Intelligent Decision Making Tool to recommend the most suitable turbine for Ohio users. This tool will take all aspects of the user’s property and budget into consideration, resulting in a recommendation for the most appropriate wind turbine for the site, an explanation of the logic used with advantages and disadvantages of turbine installation, the total cost associated with the turbine, and the LEED points earned. A feasibility check on a fuzzy model can be carried out by the user in which he/she can select both the rules and facts.</p><p>Further improvements for greater accuracy in the tool include accounting for wind turbulence, wind shear, surface roughness, and including more detailed readings of local wind conditions. These improvements will make the Intelligent Decision Making Tool more helpful to the small wind turbine buyer.</p> 2011-07-29 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1306914305 http://rave.ohiolink.edu/etdc/view?acc_num=osu1306914305 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 Nagra, Sukhdeep Intelligent Decision Making Tool for Small Wind Turbines in Ohio |
| author |
Nagra, Sukhdeep |
| author_facet |
Nagra, Sukhdeep |
| author_sort |
Nagra, Sukhdeep |
| title |
Intelligent Decision Making Tool for Small Wind Turbines in Ohio |
| title_short |
Intelligent Decision Making Tool for Small Wind Turbines in Ohio |
| title_full |
Intelligent Decision Making Tool for Small Wind Turbines in Ohio |
| title_fullStr |
Intelligent Decision Making Tool for Small Wind Turbines in Ohio |
| title_full_unstemmed |
Intelligent Decision Making Tool for Small Wind Turbines in Ohio |
| title_sort |
intelligent decision making tool for small wind turbines in ohio |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2011 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1306914305 |
| work_keys_str_mv |
AT nagrasukhdeep intelligentdecisionmakingtoolforsmallwindturbinesinohio |
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