Abstract:

The metaverse represents the next generation of internet and is also an immersive virtual world connected to the real world on which it is having a profound effect. It is capable，for example，of real time rendering of digital twin scenarios and high-precision simulations that follow the laws of physics. Carbon Capture，Utilization，and Storage （CCUS） has come to be regarded as a critical core technology for China to achieve its double carbon goal. Compared with conventional Carbon Capture and Storage （CCS） technology，it offers tangible economic benefits and practical operability. The metaverse can energize every aspect of CCUS. However，current CCUS engineering technology is not standardized，which means high industrialization costs. Our analysis of the current development status of CCUS technology at home and abroad reveals that machine learning based on supervised and unsupervised algorithms can play a huge role in CO₂ capture using adsorption techniques；in particular on the selection of adsorbent materials. In addition，process simulation and optimization using quantum computing offers a lower cost option for CO₂ capture than the technologies currently in use. This paper proposes an intelligent，integrated，on and offline management system—using metaverse technology clusters （particularly machine learning）—as a vision for the future to solve the industrialization issues facing CCUS and help to achieve its large scale application.

Key words:

metaverse, CCUS, machine learning, carbon neutral, quantum computing, artificial intelligence

摘要：

元宇宙是下一代互联网的终极状态，是与现实世界互联的沉浸式虚拟世界，其用途包括数字孪生场景下的实时渲染，以及遵循物理定律的高精度模拟仿真，正不断影响着整个世界。碳捕集、封存与利用技术（CCUS）是中国实现“双碳”目标的重要技术之一，与传统的碳捕集和封存技术（CCS）相比，具有经济收益与现实可操作性。目前CCUS技术在工程规范化上存在不足导致产业化成本高昂，对当今国内外CCUS技术发展现状做出总结，发现基于监督算法与无监督算法的机器学习在吸附剂的选择以及基于吸附剂的CO₂捕获过程中能够发挥巨大作用，并且利用量子计算技术进行过程模拟和优化可以以较低成本捕获CO₂。提出一种利用元宇宙技术群（尤其是机器学习）实现线上线下相结合的智能集成化管理系统作为展望未来的构想，以解决当今CCUS面临的产业化问题，全面助力CCUS实现规模化应用。

关键词:

元宇宙, CCUS, 机器学习, 碳中和, 量子计算, 人工智能