Using digital twins for greening the chemical industry

The article describes the potential benefits of implementing and using a digital twin of petrochemical plants as a virtual representation of the production process, including its technological parameters and real-time analytics to ensure an environmentally responsible approach to production. The authors point out the possibility of optimizing production by using sensors and automatic control systems, as well as using the digital twin for testing and refining assumptions. In addition, the implementation of a digital twin in a chemical plant, including with elements of AI, will allow for operational process management. The decision tree proposed by the authors allows a chemical enterprise to reduce its impact on the environment by using a decision support system to manage wastewater treatment at a petrochemical plant. Laborious calculations for forecasting modernization taking into account production, economic, and environmental factors can be obtained using a digital twin not only promptly but also with a specified degree of variation and reliability.