不久前，中国科学院大连化学物理研究所(以下简称"大连化物所")与科大讯飞股份有限公司等联合研发 的智能化工大模型2.0Pro亮相。这是我国化工行业首个大模型，它的问世，为化工行业实现"实验室一 步跨入工厂"目标提供了技术支撑。 该模型研发由中国工程院院士、大连化物所所长刘中民团队牵头。刘中民长期从事煤化工、石油化工领 域应用催化研究与技术开发，在甲醇制烯烃(DMTO)的基础研究和工业应用方面作出重大贡献。近日， 刘中民向科技日报记者解读了我国煤制烯烃产业的发展思路。 人物档案 记者：您提出的"甲醇经济"战略如何与传统石化产业升级形成协同效应? 刘中民，中国工程院院士、中国科学院大连化学物理研究所所长。长期从事应用催化研究。获国家技术 发明奖一等奖1项、国家科技进步奖一等奖1项、辽宁省科技最高奖1项、省部级以上科技奖励10余项， 以及周光召应用科学奖、何梁何利基金科学与技术产业创新奖等多项个人奖励。DMTO技术引领煤制烯 烃产业发展 记者：您主导研发的DMTO技术已实现工业化应用。这一技术对降低石化行业碳排放、提升资源利用效 率有何突破性意义? 刘中民：大连化物所从上世纪80年代起便致力于DMTO技术的研究。2 ...

Core Viewpoint - The development of DMTO technology is pivotal for the coal-to-olefins industry in China, significantly reducing carbon emissions and enhancing resource utilization efficiency [6][8]. Group 1: DMTO Technology and Its Impact - DMTO technology has been under research since the 1980s, with the first industrial application successfully launched in 2010, producing 1.8 million tons annually [6]. - The technology has evolved to its third generation, with a single unit capable of processing 3.6 million tons of methanol per year, and contracts for 36 units have been signed, totaling over 24 million tons of olefins per year [6]. - DMTO technology is crucial for alleviating oil supply shortages and ensuring energy security, with a significant reduction in CO2 emissions compared to traditional coal utilization methods [6][8]. Group 2: Market Trends and Future Prospects - The shift towards "chemical new materials" in the petrochemical industry is accelerating, driven by the dual carbon goals and increasing renewable energy capacity [8][9]. - The demand for high-end chemical products and new materials is expected to grow, despite a projected decline in refined oil demand by 2050 [8]. - DMTO technology, utilizing coal as a stable and cost-effective raw material, is positioned to meet the increasing demand for olefins and chemical products [8][9]. Group 3: Challenges in Energy Transition - The complexity of China's energy and industrial systems poses challenges for scientific decision-making and the identification of effective technological pathways for energy transition [12]. - The integration of artificial intelligence in research and production processes is still in the exploratory phase, with significant potential to enhance efficiency and innovation in the chemical industry [12][23]. Group 4: Strategic Recommendations - To achieve a successful energy transition, a systematic approach combining original breakthroughs and technological integration is essential, particularly in hydrogen energy and carbon capture, utilization, and storage (CCUS) [15]. - The collaboration between traditional coal chemical processes and renewable energy sources is vital for achieving low-carbon and zero-carbon production methods [16][17]. Group 5: Innovation and Research Development - The relationship between basic research and industrial application can create a virtuous cycle, as demonstrated by the development of DMTO technology over the past decades [21][22]. - The rapid advancement of artificial intelligence presents new opportunities for the chemical industry, enabling a shift from laboratory experiments to industrial applications [23].