{"query_echo":{"q":"","filters":{"analysis_type":["technology mapping"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'technology mapping' 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=technology+mapping","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-000121","url":"https://climateinsightsdirectory.org/document/catf-000121","title":"Mapping opportunities to decarbonize the U.S. pulp and paper industry","publisher":{"name":"Clean Air Task Force","organization":"clean-air-task-force"},"document_type":"briefing","language":"en","date_published":"2025-12-02","source_url":"https://www.catf.us/2025/12/mapping-opportunities-decarbonize-us-pulp-paper-industry/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The U.S. pulp and paper industry, which accounts for 9% of industrial energy consumption, offers significant potential for net-negative emissions through CCS due to its reliance on waste biomass. A new mapping tool evaluates facilities based on capture costs, capture potential, storage costs, infrastructure clustering, and co-benefits. The analysis identifies the Gulf Coast—specifically Louisiana, Mississippi, and Texas—as having the highest opportunity scores. While private sector interest is growing, the document argues that the 45Q tax credit requires enhancement and regulatory certainty for transport infrastructure is needed to scale these technologies.","ai_generated":true,"unit":"catf-000121#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The U.S. pulp and paper industry represents 9 percent of total industrial energy consumption and 2.5 percent of domestic industrial greenhouse gas emissions, with the potential for net-negative CO2 emissions if carbon capture and storage (CCS) is applied to facilities using waste biomass.","ai_generated":true,"unit":"catf-000121#insight-1","date_modified":"2026-10-23"},{"text":"A mapping tool evaluates U.S. facilities using five metrics: capture cost (scoring high at or below $85/ton), capture potential (scoring high above 1,000,000 MT), storage cost (scoring high below $16/ton), infrastructure clustering (proximity to other emitters), and environmental/economic co-benefits.","ai_generated":true,"unit":"catf-000121#insight-2","date_modified":"2026-10-23"},{"text":"The Gulf Coast region, particularly Louisiana, Mississippi, and Texas, shows the highest potential for decarbonization due to lower storage costs, proximity to geologic formations, and existing CO2 infrastructure. Louisiana's seven facilities average a composite opportunity score of over 13 out of 15.","ai_generated":true,"unit":"catf-000121#insight-3","date_modified":"2026-10-23"}],"climate_tags":["carbon capture and storage","carbon dioxide removal","biomass","Industrial decarbonization","greenhouse gas emissions"],"geography_discussed":["Gulf Coast of the United States","Texas","Louisiana","Mississippi","Arkansas"],"frame_perspective":[],"analysis_type":["technology mapping","geographic assessment","policy analysis"]},{"id":"cdkn-000887","url":"https://climateinsightsdirectory.org/document/cdkn-000887","title":"Emerging and exponential technologies: New opportunities for low-carbon development","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"research paper","language":"en","date_published":"2017-11","source_url":"https://cdkn.org/sites/default/files/files/CDKN-emerging-tech_WEB-final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The paper explores the intersection of the Fourth Industrial Revolution (4IR) and climate goals, arguing that exponential technologies—those with rapidly falling costs and improving performance—can allow developing nations to 'leapfrog' obsolete infrastructure. By analyzing the NDCs of six priority countries, the authors map potential applications of AI, blockchain, IoT, and advanced materials across energy, transport, and agriculture sectors. While highlighting opportunities for decarbonization and financial inclusion, the document warns of risks including job displacement due to automation and the potential for energy-intensive technology lock-in.","ai_generated":true,"unit":"cdkn-000887#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Fourth Industrial Revolution (4IR) is driven by disruptive technologies and business models that are projected to have \"unprecedented speed, scope and scale\" in their impact on production and consumption systems.","ai_generated":true,"unit":"cdkn-000887#insight-1","date_modified":"2026-10-23"},{"text":"Exponential technologies are defined by continuous improvements where \"the power and/or speed doubles each year, and/or the cost drops by half\", a pattern seen in solar PV, wind, and battery storage.","ai_generated":true,"unit":"cdkn-000887#insight-2","date_modified":"2026-10-23"},{"text":"Developing countries have the potential to 'leapfrog' previous economic development patterns by adopting 4IR technologies, which can reduce the need for long-lived, infrastructure-intensive investments in sectors like energy and transport.","ai_generated":true,"unit":"cdkn-000887#insight-3","date_modified":"2026-10-23"},{"text":"In the energy sector, 4IR technologies such as blockchain can enable peer-to-peer energy trading and decentralized payment systems, facilitating a shift from state-owned utilities to \"a consumer-driven, highly competitive market\".","ai_generated":true,"unit":"cdkn-000887#insight-4","date_modified":"2026-10-23"},{"text":"The transport sector could be transformed by 'transportation as a service' enabled by autonomous electric vehicles, which may \"dramatically reducing the need for car ownership\" and lower CO2 emissions from light-duty vehicles by 90% by 2030 in some scenarios.","ai_generated":true,"unit":"cdkn-000887#insight-5","date_modified":"2026-10-23"},{"text":"In agriculture and forestry, 4IR tools like nano-satellites and drones provide \"real-time remote sensing of deforestation and land-use change\", which helps overcome data gaps in national emissions models.","ai_generated":true,"unit":"cdkn-000887#insight-6","date_modified":"2026-10-23"},{"text":"The transition to 4IR technologies poses significant social risks, including the potential for automation to displace jobs in haulage, manufacturing, and rural agriculture, which could \"exacerbate unemployment\" in developing countries.","ai_generated":true,"unit":"cdkn-000887#insight-7","date_modified":"2026-10-23"},{"text":"There is a risk of 'technology lock-in' to energy-inefficient 4IR applications; for example, Bitcoin's energy-inefficient blockchain is estimated to consume 16.22 terawatt hours annually.","ai_generated":true,"unit":"cdkn-000887#insight-8","date_modified":"2026-10-23"},{"text":"Effective 4IR implementation requires a 'Roadmap' involving awareness-raising, governance structures to incorporate innovation into national planning, and new innovation finance from multilateral development banks and the Green Climate Fund.","ai_generated":true,"unit":"cdkn-000887#insight-9","date_modified":"2026-10-23"}],"climate_tags":["Nationally Determined Contributions","Low carbon development","blockchain","autonomous vehicle","renewable energy","energy efficiency","electric vehicle","biofuel","Climate-smart agriculture","circular economy","climate finance","technology transfer"],"geography_discussed":["Bangladesh","Colombia","Ethiopia","India","Indonesia","Kenya","Philippines","Maldives","Tanzania","Dar es Salaam","Vietnam"],"frame_perspective":[],"analysis_type":["policy analysis","technology mapping"]}]}