Energy Transition

Queue Update | Decoding Project Probabilities

byBrynna Foley

As renewable energy development accelerates, interconnection queues have become increasingly congested with an influx of projects looking to connect to the grid. This surge in requests has outpaced administrative capacity, leading to high levels of project suspension and cancellation.

In our latest report, Enverus Intelligence® Research (EIR) valued some of the largest power portfolios, leveraging our proprietary machine learning model to evaluate project viability and risk-adjusted valuations. Our analysis highlights key factors influencing success across the independent system operators, determining project status, developer, type, and planned and suspended capacity at the substation to be valuable across the board. Portfolios with a higher proportion of operational capacity command greater overall value, reflecting developers’ willingness to pay a premium for reduced risk. Since our last queue analysis, developer portfolios have appreciated in value, suggesting progress in the queue and a decline in associated risks.

Enverus Intelligence® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations and macro-economic forecasts and helps make intelligent connections for energy industry participants, service companies and capital providers worldwide. See additional disclosures here.

Picture of Brynna Foley

Brynna Foley

Brynna Foley joined the Enverus Intelligence Research® team as a Power & Renewables Analyst in October 2024, focusing on Power Assets. She holds a degree in Electrical Engineering from Queen’s University and brings two years of industry experience in engineering design and corporate strategy. With a solid foundation in electrical systems and market analysis, Brynna is passionate about leveraging data analytics to drive the energy transition.

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