AI Technology to Drive Energy Efficiency
During a forum focused on carbon peak and carbon neutrality science and technology at the Zhongguancun Forum, experts emphasized that the application of artificial intelligence (AI) technology can significantly enhance energy utilization efficiency and accelerate the transition of traditional high-carbon industries towards green, low-carbon development.
‘AI technology is one of the key points in the innovation chain for the future energy structure. It plays a crucial role in promoting green energy transition and achieving carbon neutrality,’ said Ding Chibiao, vice-president of the Chinese Academy of Sciences, at the forum held in Beijing.
Ding highlighted that this trend not only boosts the efficiency of the chemical industry but also promotes energy conservation and emission reduction, thereby contributing to China’s dual carbon goals of peaking carbon emissions before 2030 and achieving carbon neutrality before 2060.
Researcher Ye Mao from the Dalian Institute of Chemical Physics noted that some chemical companies have already pioneered the application of AI models, sparking greater interest across the industry. According to a survey by his team, nearly half of the chemical companies have engaged engineers and technicians in exploring intelligent chemical models, a number that continues to grow.
Since 2016, Liu Zhongmin’s team has focused on integrating AI technology into chemical engineering. Their efforts resulted in the launch of the chemical engineering large model ChemELLM, which achieved significant strides in the autonomous design and optimization of chemical processes. The recent release of ChemELLM 2.0 boasts improvements in industrial catalysis and chemical safety, broadening its applicability in various chemical scenarios.
‘We have found in our interactions with companies that traditional engineers and AI model-based human-machine collaboration will coexist for a long time, necessitating a period of adjustment. It will take time to build an intelligent chemical ecosystem,’ Ye stated.
Ye expressed hope that these advancements would assist the chemical industry in its intelligent upgrading, enhancing production efficiency and safety, and further supporting the energy revolution and new industrialization.
Looking forward, Ding conveyed that the Chinese Academy of Sciences will deepen collaborative innovation across all sectors to collectively advance AI-assisted low-carbon energy development.
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- Carbon Neutrality
- Chemical Engineering
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