关键词:

元宇宙, CCUS, 机器学习, 碳中和, 量子计算, 人工智能

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