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Case Studies
See How Communities are Leveraging the Energy Equity Explorer
This section provides a brief overview of how the Energy Equity Explorer (EEE) tool has been utilized by different communities to address energy equity challenges, secure funding, and implement impactful solutions. The EEE tool has been used in several presentations to help stakeholders understand where energy burdens are most severe and shared with partners to identify high-need areas, effectively painting a picture of target areas for grants. Learn from these case studies to see how data-driven insights can guide effective policy and program development in your area.
Case Study: Advancing Healthy and Energy-Efficient Housing in Georgia's House District 98
The Energy Equity Explorer (EEE) tool was used in a collaborative project led by the Southeast Energy Efficiency Alliance (SEEA), the Gwinnett Housing Corporation (GHC), and State Representative Marvin Lim to address energy and housing challenges in Georgia's House District 98. The project identified significant energy burdens among low- and moderate-income households, with many facing unaffordable energy costs exceeding 6-10% of their income. Additionally, the analysis highlighted environmental vulnerabilities, such as limited green spaces and poor air quality, which impact community health and resilience. Engaging stakeholders from various sectors, the project developed a strategic plan to leverage federal and local funding, improve energy efficiency, and enhance access to healthy housing, culminating in a resource guide and policy playbook to support long-term, cross-sector solutions for community development.
Case Study: Using the Energy Equity Explorer to Model Electricity Affordability in ERCOT
TEPRI used the Energy Equity Explorer (EEE) to support its analysis of residential electricity affordability in ERCOT. The tool provided baseline data on low-to-moderate income households in the Oncor, CenterPoint, and AEP Texas service areas, including electricity usage, annual costs, electricity burden, and household counts. These inputs were used to model how projected electricity price increases could affect household affordability through 2030. The case study shows how EEE can help translate local household data into forward-looking insights for affordability planning and policy.
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