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Collaboratively working together to make solar PV systems safer. Understanding the causes of solar PV-related fires and developing recommendations to reduce them.
The PV Fire Intelligence Network (PV-FIN) brings together leading industry partners with the essential aim of collaboratively working together to make solar PV systems safer. This is achieved by understanding the specific causes of solar PV-related fires and proposing recommendations and solutions intended to reduce these in the future.
Steering Group Members
ArcBox (Division of Viridian Solar) · Building Research Establishment (BRE) · CGM Group UK · Enphase Energy · Fire Industry Association · IMO Precision Controls · MCS Company · PVStop · Solar Energy UK · SolarEdge Technologies
Your data helps the industry identify risks and develop practical solutions. Choose a questionnaire below to get started.
Help us understand current installation and maintenance practices across the solar PV industry. Your responses will inform evidence-based recommendations for improving safety standards.
Start QuestionnaireThe following organisations are supporting PV-FIN through valued contributions.
Read articles, coverage, and website mentions featuring PV-FIN and its work.
PV-FIN is building the evidence base needed to turn shared industry insight into practical recommendations that reduce future solar PV fire risk.
Understanding when incidents occur, what warning signs are present, and which system conditions appear repeatedly.
Looking at installation, components, maintenance, and operating environments that can influence risk.
Turning shared evidence into clearer guidance that can help reduce future solar PV fire incidents.
If you have reliable data that may support this research, or would like to find out more about the PV Fire Intelligence Network, please get in touch.
Document near-miss events that could have resulted in a fire. Near-miss data provides early warning signals and helps the industry act before incidents occur.
Start QuestionnaireReport details of solar PV-related fire incidents. Accurate incident data is critical for identifying trends, root causes, and developing effective prevention strategies.
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