Detection methods for common problems in solar home systems

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dc.contributor.advisorChang, Peter
dc.contributor.authorLomaskin, Mark
dc.contributor.authorMahony, Rebecca
dc.contributor.authorMooney, Lindsay
dc.contributor.authorRobinson, Ryan
dc.contributor.authorTeitelbaum, Adam
dc.date.accessioned2009-05-15T14:45:13Z
dc.date.available2009-05-15T14:45:13Z
dc.date.issued2009-05
dc.descriptionGemstone Team SHINE (Students Helping to Implement Natural Energy)
dc.description.abstractSolar power is a valuable source of electricity for users in the developing world, yet many solar home systems are working at marginal capacity or not functioning at all. This study has two purposes: (1) to determine how common problems afflicting these systems affect the voltage output, and (2) to use patterns in voltage as a means of detecting these problems, via diagnostic tools. Team SHINE simulated common problems on experimental systems, collecting voltage data from the batteries and panels. Using these data, we created computer algorithms to detect the problem affecting the system. After testing several detection methods, it was found that the most successful performed at 86.5% accuracy. The algorithms can be used in future research to create a device for detecting these problems, allowing them to be addressed earlier.en
dc.format.extent1618986 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/9077
dc.language.isoen_USen
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtGemstone Program, University of Maryland (College Park, Md)
dc.subjectsolar energyen
dc.subjectvoltageen
dc.subjectGemstone Team SHINE (Students Helping to Implement Natural Energy)
dc.titleDetection methods for common problems in solar home systemsen
dc.typeThesisen

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