The strongest influence of the output of solar farms is cloud cover. This can drastically reduce the maximum energy generated by the solar farm. This can have dire consequences on the stability of the energy grid and there is a need for better short term forecasting of the energy output of solar farms. The focus of the proposed work is to develop an inexpensive imager which can monitor cloud cover and via a series of acquired images, forecast the motion of clouds. Accurate forecasting of the motion of clouds will directly impact the ability to accurately estimate the output of solar farms.
Disciplines: Mechanical Engineering, Electrical Engineering
Student Skill-Set Needed: Ability to work independently, ability to design, fabricate and assemble mechanical and electronic components.
Compensation: Academic Credit, Volunteer
Available: Fall, Spring, Summer
For further information on this opportunity, or to apply, contact:
Faculty Member: Tarunraj Singh
Department: Mechanical And Aerospace Engineering
Office: 1009 Furnas Hall