Energy Transition

Stuck in the Queue | Suspensions Are Higher Than You Think

byMarc De Guzman

Interconnection queue durations across independent system operators (ISOs) have lengthened and the proportion of projects successfully reaching completion is shrinking. To explore this in detail, Enverus Intelligence® Research captures the average duration of each phase in a project’s lifecycle, the delays encountered at each stage and suspension trends across the project lifecycle.

Variations in the probability of project completion across ISOs from 2022-24 are depicted in Figure 1. In ERCOT, CAISO and MISO, suspensions are concentrated earlier in the project lifecycle, leading to a linear increase in completion probability as projects near construction. In contrast, NYISO, SPP, PJM and ISONE have higher suspension rates later in the project lifecycle, with interconnection agreement suspension rates ranging from 46% to 79%, compared to around 20% in ERCOT, CAISO and MISO. Projects in these markets show minimal improvement in completion probability until reaching construction. Notably, projects in CAISO and ERCOT in the System Impact Study phase are over twice as likely to reach operation as those with an interconnection agreement in ISONE.

Highlights:

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 Marc De Guzman

Marc De Guzman

Marc De Guzman joined the Enverus Intelligence® Research team as an Research Associate in October 2024, focusing on supporting Power Markets. He holds a degree in Business Technology Management from the UBC Sauder School of Business and brings hands-on experience in data modelling and analytics. Marc is passionate about leveraging data-driven insights to support ESG initiatives and help drive the energy transition.

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