Clir Launches Optimization Platform for Solar Assets

Clir Launches Optimization Platform for Solar Assets

Clir Renewables, a provider of performance assessment software for renewable energy, has launched its optimization platform for solar assets. 

Responding to requests from its existing clients to open the firm’s AI-driven monitoring and optimization offering to multi-tech renewable portfolios, Clir will be phasing the roll-out of the solar platform over the coming months in order to guarantee the platform addresses the gaps in the solar market. In 2022, globally utility-scale wind and solar PV electricity generation could lose $22 billion from fixable technical underperformance issues. 

“A lack of O&M innovation in recent years has resulted in project owners missing out on the performance potential of their solar assets,” says Gareth Brown, CEO of Clir.

“The market has become a race to the bottom, with everyone spending as little as possible on O&M and asset management – a key part of which is high-quality, comprehensive and properly-labelled data collection. This has not gone unnoticed by our long-standing wind clients that also hold solar assets,” he adds.

To date, solar O&M has been shaped by an over-reliance on inward-looking SCADA data. This data must be set in its geospatial context and be fed through a common model that considers all available on-site sensors or else owners simply do not know whether underperformance is due to a fault with the panel, cloud cover or shade caused by the immediate environment.

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Clir’s artificial intelligence analyzes solar asset health and performance data in the context of their environment, building an algorithm designed to support owners in developing a true understanding of the behavior of each asset and its relationship not just to its peers, but to the fleet and, eventually, the industry as a whole. This means that asset owners can identify not only when there is underperformance, but the root cause.

Clir has been working to tackle the issue of industry-wide underperformance for wind since 2017, with the firm’s AI-driven analysis and expert team supporting asset owners in increased AEP by up to 5% across more that 6 GW of onshore and offshore wind – with multiple solar projects already onboarded for phase one.

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