{"query_echo":{"q":"","filters":{"analysis_type":["ex-ante analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'ex-ante analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=ex-ante+analysis","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":"clipolin-000013","url":"https://climateinsightsdirectory.org/document/clipolin-000013","title":"The Value of Tropical Forests to Hydropower","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2024-06-24","source_url":"https://www.climatepolicyinitiative.org/working-papers/the-value-of-tropical-forests-to-hydropower/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research establishes a method to quantify the impact of tropical deforestation on hydropower capacity. Using the Teles Pires plant in Brazil as a case study, the author analyzes the value of restoring deforested Amazon regions and the potential costs associated with deforesting Indigenous Territories, demonstrating the critical link between forest preservation and energy sector stability.","ai_generated":true,"unit":"clipolin-000013#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Tropical forests influence water supply for hydropower energy generation by significantly impacting rainfall patterns on a continental scale.","ai_generated":true,"unit":"clipolin-000013#insight-1","date_modified":"2026-10-23"},{"text":"The study applies a new valuation method to the Teles Pires hydropower plant in Brazil, which is among the ten largest plants in a nation where hydropower serves as the primary energy source.","ai_generated":true,"unit":"clipolin-000013#insight-2","date_modified":"2026-10-23"},{"text":"The research provides evidence for the energy sector's reliance on tropical forest ecosystem services through ex-post mapping of restoration values in the Amazon and ex-ante mapping of the costs of deforesting Indigenous Territories.","ai_generated":true,"unit":"clipolin-000013#insight-3","date_modified":"2026-10-23"}],"climate_tags":["hydropower","ecosystem service","rain"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["econometric modeling","ex-post analysis","ex-ante analysis"]},{"id":"sei-002247","url":"https://climateinsightsdirectory.org/document/sei-002247","title":"Develop a LEAP GHG Ireland Analytical Tool for 2050","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":null,"source_url":"https://cdn.leap.sei.org/documents/DevelopLEAPGHGIreland2020.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report details the creation of the LEAP Ireland 2050 model to simulate GHG emissions from Ireland's energy and agriculture sectors. It evaluates the impact of the 2019 Climate Action Plan (CAP) targets, specifically electric vehicle (EV) penetration and residential retrofitting, while introducing the Application Script Editing Tool (ASET) to improve model topology and sensitivity analysis.","ai_generated":true,"unit":"sei-002247#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The LEAP Ireland 2050 model accounts for approximately 95% of all GHG emissions in Ireland, covering industry, transport, residential, services, agriculture, and electricity generation.","ai_generated":true,"unit":"sei-002247#insight-1","date_modified":"2026-10-23"},{"text":"An ex-post analysis of residential retrofitting from 2010–2015 indicates that alternative retrofit choices could have yielded an additional 86% in energy savings, amounting to 643 GWh per annum, though this would have increased grant costs by 30% from €130 million to €169 million.","ai_generated":true,"unit":"sei-002247#insight-2","date_modified":"2026-10-23"},{"text":"Ex-ante analysis of the 2019 Climate Action Plan (CAP) targets shows that prioritizing early action over delayed action between 2021 and 2030 could result in an additional 2 Mt CO2eq reduction, with 1.2 Mt CO2eq coming from electric vehicle diffusion and 0.8 Mt CO2eq from residential retrofitting.","ai_generated":true,"unit":"sei-002247#insight-3","date_modified":"2026-10-23"},{"text":"Achieving the CAP target of 840,000 electric vehicles by 2030 is described as requiring an \"unprecedented effort\" given the short time horizon, with cumulative emissions reductions estimated at approximately 7 Mt CO2eq over 2020–2030.","ai_generated":true,"unit":"sei-002247#insight-4","date_modified":"2026-10-23"},{"text":"The CAP residential retrofitting target of 500,000 dwellings by 2030 would require a massive scale-up in activity, increasing from approximately 200 deep retrofits in 2019 to over 70,000 per annum by 2030, potentially reducing emissions by 6 Mt CO2eq between 2020 and 2030.","ai_generated":true,"unit":"sei-002247#insight-5","date_modified":"2026-10-23"},{"text":"The project developed the Application Script Editing Tool (ASET), which enables rapid creation of complex model topologies, facilitates sensitivity analysis, and allows for the production of marginal abatement cost curves (MACC) within the LEAP framework.","ai_generated":true,"unit":"sei-002247#insight-6","date_modified":"2026-10-23"},{"text":"The model identifies significant data gaps in the industrial and public services sectors, noting that current business energy use surveys do not allow for sector-specific energy efficiency targeting by NACE category.","ai_generated":true,"unit":"sei-002247#insight-7","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","energy modeling","electric vehicle","electricity generation","energy efficiency","carbon budget"],"geography_discussed":["Norway","Vietnam","United Kingdom"],"frame_perspective":[],"analysis_type":["ex-post analysis","ex-ante analysis","scenario analysis"]}]}