Capturing Magnetic Patterns on Legacy Tapes_P2B

Renewable energy asset management is immature resulting in underperformance, electrical failures, thermal events, safety hazards, and reliability risks. As the decarbonization of the electric grid accelerates in the coming decade, these risks become more pronounced. With clarity of renewable asset health, project performance can be improved and operational issues can be identified and addressed before they become hazards. Current asset management is typically limited to energy meters and component alarms, but this is a narrow view of the physical asset. In Phase 1 of this SBIR, HelioVolta began developing an asset-based data model for on-site fieldwork data, a class of data that digitizes the work performed on-site by technicians. On-site fieldwork data gives a fuller picture of asset health by incorporating the fieldwork performed by technicians, which is not yet appreciated in data analysis. In Phase 2 of this SBIR, HelioVolta will prototype, validate, and commercialize this software development. As field data is collected and structured, these efforts will identify patterns in reliability and performance issues. This will inform fleet performance improvements, predictive maintenance, and industry benchmarking. The software, once fully developed, will increase project performance by 8%, promote system reliability, and streamlined project integration, therein promoting more solar generation on the grid.