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Eversource and UI discuss barriers in school solar project bids

July 09, 2025 | Public Utilities Regulatory Authority, Departments and Agencies, Organizations, Executive, Connecticut


This article was created by AI summarizing key points discussed. AI makes mistakes, so for full details and context, please refer to the video of the full meeting. Please report any errors so we can fix them. Report an error »

Eversource and UI discuss barriers in school solar project bids
During the recent PURA meeting on July 9, 2025, significant discussions centered around the challenges and developments in the NRES program, particularly regarding solar projects in schools. Eversource and UI representatives highlighted potential barriers to project bids, including structural, administrative, and financial obstacles. These insights came in response to inquiries about the slow uptake of bids for school solar projects, which have only recently been launched.

Brian Rice from Eversource emphasized the importance of timing in the program's rollout. He noted that the newly established prerequisites for school projects may have contributed to a lower number of bids initially. However, he expressed optimism that as developers and communities adapt to the current criteria, more projects could emerge in future requests for proposals (RFPs).

The meeting also addressed the implications of bid preferences for distressed municipalities in relation to carport and canopy solar projects. Clarifications were made regarding how these preferences affect pricing and eligibility, ensuring that projects can still compete effectively within the established price caps.

As the meeting concluded, the focus shifted to the next presentation, indicating ongoing efforts to refine and enhance the NRES program. The discussions underscored the commitment of the EDCs to navigate the complexities of solar project implementation, aiming to foster greater participation and success in Connecticut's renewable energy landscape.

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Scribe from Workplace AI
Scribe from Workplace AI