{"query_echo":{"q":"","filters":{"analysis_type":["infrastructure modeling"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'infrastructure modeling' 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=infrastructure+modeling","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":"catf-000611","url":"https://climateinsightsdirectory.org/document/catf-000611","title":"Oceankind: CCS Potential in the US Mid-Atlantic using Offshore Storage","publisher":{"name":"Clean Air Task Force","organization":"clean-air-task-force"},"document_type":"report","language":"en","date_published":"2023-05-19","source_url":"https://cdn.catf.us/wp-content/uploads/2024/01/11161350/Carbon-Solutions-Offshore-Atlantic-CCS-Report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report evaluates the potential for offshore carbon capture and storage (CCS) in the US mid-Atlantic to compensate for limited onshore capacity. Using the SimCCS modeling toolset, the study identifies 199 facilities across 15 industry sectors with a total of 31.47 Mt of annual capturable CO2. It finds that while offshore storage capacity is vast—estimated at 621,221 MtCO2 across 125 candidate sites—the costs are significantly higher than onshore benchmarks, ranging from 95.5 to 147.9 $/tCO2. This cost disparity is primarily driven by offshore pipeline installation and storage expenses. The analysis suggests that capturing the full 31.47 MtCO2 would require a 7,789 km branched pipeline network and that emission prices between $95.5 and $103.5 per tonne could incentivize initial capture efforts.","ai_generated":true,"unit":"catf-000611#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The mid-Atlantic offshore region possesses significant CO2 storage capacity, with 125 candidate sites offering a cumulative capacity of 621,221 MtCO2, which could store the region's current annual capturable emissions for nearly 20,000 years.","ai_generated":true,"unit":"catf-000611#insight-1","date_modified":"2026-10-23"},{"text":"The study identified 199 facilities across 15 industry sectors in a region spanning from Maine to South Carolina that produce 31.47 Mt of capturable CO2 annually. Over half of these emissions originate in South Carolina, Pennsylvania, and Maryland.","ai_generated":true,"unit":"catf-000611#insight-2","date_modified":"2026-10-23"},{"text":"Offshore CCS costs in the mid-Atlantic are substantially higher than the US onshore benchmark of approximately 85 $/tCO2, with estimated costs ranging from 95.5 to 147.9 $/tCO2. This is largely due to transportation and storage costs, with offshore pipeline installation costing approximately 3-4 times more than onshore.","ai_generated":true,"unit":"catf-000611#insight-3","date_modified":"2026-10-23"},{"text":"To capture the total annual emissions of 31.47 MtCO2, the region would require a branched pipeline network totaling 7,789 km, with more than 50% of the network consisting of small-diameter pipes (4 and 6 inches).","ai_generated":true,"unit":"catf-000611#insight-4","date_modified":"2026-10-23"},{"text":"The economic viability of starting capture operations depends on emission prices; the report suggests that prices between $95.5 and $103.5 per tonne of CO2 could provide sufficient incentives.","ai_generated":true,"unit":"catf-000611#insight-5","date_modified":"2026-10-23"}],"climate_tags":["carbon capture and storage","industrial emission","carbon price"],"geography_discussed":["Maine","South Carolina","Pennsylvania","Maryland","New Jersey","North Carolina","Connecticut","Massachusetts","New York","Virginia"],"frame_perspective":[],"analysis_type":["techno-economic analysis","infrastructure modeling"]}]}