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This case study by RMI examines the clean community financing ecosystem in Michigan to provide lessons for other US regions. It highlights how a dense network of green banks, CDFIs, and state-level initiatives, coordinated by the Michigan Climate Investment Hub, works to overcome barriers to clean energy investment in residential, small business, and MUSH sectors.

The "Electrify Your Community" guide by RMI provides a five-step framework for local governments and community-based organizations to implement residential heat pump deployment programs. The guide focuses on scaling air-source and ground-source heat pumps and heat pump water heaters to reduce residential greenhouse gas emissions, leveraging federal incentives from the Inflation Reduction Act (IRA) and Infrastructure Investment and Jobs Act (IIJA).

This briefing by RMI analyzes the potential for the Great Lakes region to lead the electric vehicle (EV) and battery supply chain. While the region possesses historical automotive strengths and significant R&D capacity, it faces competition from the 'Battery Belt' in the Deep South and gaps in state-level industrial policies. The document outlines the four stages of the supply chain—upstream, midstream, downstream, and reuse/recycling—and provides a gap analysis of regional policies compared to federal initiatives, urging Great Lakes states to coordinate on strategic coordination, production incentives, and end-of-life regulations to maintain competitiveness.

RMI has developed the Local Energy Action Framework (LEAF), a step-by-step process designed to help US cities and counties prioritize energy projects and map electricity needs holistically to reach 100 percent clean electricity or carbon-neutrality goals.

This guide by the World Resources Institute (WRI) provides local governments with a framework for sourcing and collecting the data necessary to conduct a 24/7 carbon-free energy (CFE) analysis. It outlines the three primary datasets required—hourly load data, grid mix and emissions data, and additional energy procurement or generation data—and offers various methodologies for estimating these values when actual data is unavailable.