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Clir to optimize 200-MW Cotton Plains wind portfolio in Texas

By WPED Staff | November 3, 2022

Market intelligence platform Clir Renewables has been selected by Northleaf Capital Partners to help optimize production at Cotton Plains, two wind farms in Texas with a combined capacity of 200 MW.

This follows the successful use of the Clir platform in optimizing production at Northleaf’s Canadian Breaks wind farm in Texas. The new mandate brings the scope of work in the state with Clir to 410 MW.

Clir will use its extensive dataset – drawn from over 200 GW of assets across different OEMs, technologies, regions and ages – to prepare and perform analytics on Northleaf’s Cotton Plains wind farms in conjunction with the operations and maintenance teams, to ensure energy output is optimized while maximizing financial returns.

“We are delighted to continue working with Northleaf following our successful collaboration on the Canadian Breaks project and look forward to expanding our services to optimize a further 200 MW across their Cotton Plains wind farms,” said Craig McCall, CRO at Clir Renewables. “With our available benchmarking data, we can continue to provide Northleaf with comprehensive insight into the output of its investments, giving them the power to make informed decisions in the rapidly growing U.S. wind sector.”

Kaushik Ramki, Director at Northleaf said, “ At a time of increased volatility in the energy market, we are seeing a continued push for expanded renewable energy generation across the United States. Optimizing our assets through the Clir platform is important from an asset management perspective to help maximize the value of our investment and deliver enhanced returns for our investors.”

“It is critical that we use high quality data to optimize our wind farms’ output and analyze technical and financial opportunities to increase projects’ value,” adds Ramki. “Building on our previous successes, we look forward to working with Clir’s market intelligence technology at our Cotton Plains wind farms to generate insight on how best to maximize their performance.”

News item from Clir


Filed Under: News

 

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