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2025中关村论坛碳达峰碳中和科技平行论坛: AI加速化工业绿色低碳转型
000931CENTEK(000931) 中国化工报·2025-04-02 02:57

Group 1 - The application of artificial intelligence (AI) technology across the entire energy production, consumption, and management chain is expected to significantly enhance energy efficiency and accelerate the transition of traditional high-carbon industries, including the chemical industry, towards green and low-carbon practices [1] - The integration of AI with various fields in the energy sector is seen as a crucial support for promoting green and low-carbon transformation, particularly in areas such as new energy consumption and smart energy use [1] - The Chinese Academy of Sciences plans to deepen collaboration with various sectors to foster innovation through interdisciplinary and cross-field integration, aiming to leverage AI for low-carbon energy development [1] Group 2 - Huawei is advancing the digitalization of energy by merging digital technologies with power electronics to facilitate the low-carbon transition in the industry, exemplified by their smart chemical park solutions implemented in various chemical enterprises [2] - The company has developed intelligent solutions based on AI and ICT technologies for equipment inspection, safety operations, and process optimization, which aim to reduce costs and enhance safety in chemical operations [2] - Huawei intends to continue innovating in areas such as new materials and catalyst development through AI technology, further accelerating the incubation of smart chemical models [2] Group 3 - The traditional development of new chemical technologies typically requires a lengthy process involving multiple stages, often taking over 10 years to establish demonstration plants, highlighting the need for a breakthrough in research paradigms [3] - A team led by an academician from the Chinese Academy of Engineering proposed a dual-driven approach using data and scientific theory to develop a chemical model that addresses the challenges of scaling up from laboratory to factory [3] - The intelligent chemical model 2.0 has established four key platforms for catalytic reactions, process development, pilot scale-up, and factory optimization, providing a new methodology for chemical technology development [3]