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  • 标题:A Novel Approach to Predict Power Generation using Raspberry Pi
  • 本地全文:下载
  • 作者:Yamuna Yadwad ; Vidyashri Kagale ; Pooja Kademani
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:5
  • 页码:9495
  • DOI:10.15680/IJIRSET.2017.0605298
  • 出版社:S&S Publications
  • 摘要:The installation cost of a wind mill is enormous installing one wind mill is a great deal of investment.Therefore selecting the best place to install the wind mill is extremely crucial. Selecting a wrong place can result in reinstallation,which can be more expensive. Hence we are motivated with the fact that our system will avoid thesituation of installing the wind mill in a wrong place. The proposed system deals with monitoring the wind speed. Thisis used in cases where one has to construct a wind mill/turbine wherein he will have to know wind speed at a particularlocation. The location of the wind turbine is crucial for maximizing its overall performance. Therefore we need thisdevice to check whether there are any obstructions such as trees and buildings nearby (which slow the wind down andcause turbulence), the height above ground level. The purpose of this system is to measure average, minimum andmaximum wind speed as well as how much turbulence there is at the site, store the details and send it to the serveralong with other details, like graphical representations of the time in a day is when wind speed is maximum.
  • 关键词:Anemometer; IR sensor; Raspberry Pi and Wind mill.
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