SBIR/STTR Research Award

15,f Fieldwork Data Management & Analysis Software for Reliable Assets

Award identifier 47207363113a0898c4406730f9e0a626d211923b0c7986d18a8c5f0719ee8f1cAwarding agency Department of Energy

Award amount

$200,000

Program and phase

SBIR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
HELIOVOLTA LLC
Proposal award date
2023-07-10
Contract end date
2024-04-09
UEI
F61KM7QCTBT1
Solicitation number
DE-FOA-0002903
Topic code
C56-15f

Research abstract

Renewable energy asset management is immature resulting in 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, 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 will create 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. This effort will then create and define open-sourced data connections to other data sources. Once a data model is created for on-site fieldwork data, it is paired with metered data for a very robust understanding of asset health. This pairing is the pursuit of Phase II of this grant and promotes system reliability and better project integration therein promoting more solar generation on the grid.

Technology keywords

Not reported

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Agency intelligence

Department of Energy

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