{"query_echo":{"q":"","filters":{"analysis_type":["technical walkthrough"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'technical walkthrough' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=technical+walkthrough","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"eninnova-000096","url":"https://climateinsightsdirectory.org/document/eninnova-000096","title":"GETTING STARTED WITH EPS","publisher":{"name":"Energy Innovation","organization":"energy-innovation"},"document_type":"guide","language":"en","date_published":"2025-07-30","source_url":"https://energyinnovation.org/wp-content/uploads/Getting-Started-with-EPS.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document is a quick start guide for the Energy Policy Simulator (EPS), a tool developed by Energy Innovation to help users model state-level energy systems and climate policies. Using Louisiana as an example, it explains how to access the simulator, apply specific policies such as a Clean Electricity Standard or Building Component Electrification, and analyze results through CO2e emission graphs and wedge diagrams. It also describes how to use pre-designed scenarios, including the NDC Scenario and the Federal Policy Repeal and Rollback scenario, to test different decarbonization pathways.","ai_generated":true,"unit":"eninnova-000096#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Energy Policy Simulator (EPS) allows users to model state energy systems by applying various policies to determine the most cost-effective and beneficial combinations for reducing carbon emissions, utilizing 1.7 million equations for each year of calculation.","ai_generated":true,"unit":"eninnova-000096#insight-1","date_modified":"2026-10-23"},{"text":"The simulator provides a range of output metrics beyond total CO2e emissions, including health impacts, financial data, and sector-specific results for industry, transportation, buildings, and electricity.","ai_generated":true,"unit":"eninnova-000096#insight-2","date_modified":"2026-10-23"},{"text":"Users can customize the implementation schedules of policies to account for the slow turnover of equipment; for example, accelerating building heating electrification to 2035 can shift emissions more effectively than a 2050 target.","ai_generated":true,"unit":"eninnova-000096#insight-3","date_modified":"2026-10-23"},{"text":"The tool includes pre-configured scenarios for comparison, such as the NDC Scenario for ambitious decarbonization and a Federal Policy Repeal and Rollback scenario that aligns with the \"One Big Beautiful Bill Act\" and proposed EPA rule repeals.","ai_generated":true,"unit":"eninnova-000096#insight-4","date_modified":"2026-10-23"}],"climate_tags":["carbon dioxide emissions","energy policy","sustainable energy","decarbonization"],"geography_discussed":["Louisiana"],"frame_perspective":[],"analysis_type":["user guide","technical walkthrough"]}]}