Resource Library
NREL: Clean Energy to Communities Program: Peer-Learning Cohorts
Overview
Clean Energy to Communities (C2C) offers peer-learning cohorts to advance local clean energy goals.
Clean Energy to Communities (C2C) offers peer-learning cohorts to advance local clean energy goals. Cohorts are funded by the U.S. Department of Energy and managed by NREL with support from the World Resources Institute.
Peer-learning cohorts are multicommunity engagements that convene regularly for approximately 6 months to exchange strategies and best practices, learn in a collaborative environment, and workshop policy or program proposals, action plans, or strategies to overcome challenges around a common clean energy transition topic.
Lab experts provide a cohort of up to 15 communities with education, case studies, analysis and modeling tools, templates, trainings, and facilitated collaboration to enable accelerated clean energy progress.
Eligibility
Peer-learning cohorts are intended for eligible primary applicants that have decision-making power or influence in their community but need access to additional clean energy expertise to inform upcoming opportunities. Eligible primary applicants for the current cohort topics may include:
- Tribes
- City, town, or county (local) governments
- Metropolitan planning organizations (select cohort topics)
- Regional planning organizations (select cohort topics)
- Utilities (select cohort topics)
- Community-based organizations (select cohort topics)
- Other public entities, such as transit agencies, school districts, and housing authorities (select cohort topics).
Primary applicants may benefit from including secondary partners (e.g., electric utilities, community-based organizations, Clean Cities coalitions, and other public agencies) on their application, especially those who may play a significant role in planning, decision-making processes, and implementation efforts. Future cohort topics may allow other organization types as prime applicants, and they will be indicated as such on the cohort descriptions and applications.
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