AI based technique can be applied in all projects listed in this report to help in real-time monitoring, diagnosis and notiﬁcation in a chemical process system. The amine index project represents an example of how AI can be implemented; Artiﬁcial Neural Network (ANN) based methods are used to build an expert system to help in constructing a real-time monitoring, diagnosis, and notiﬁcation system to identify the on-set of amine degradation in the carbon capture plant.
AI can be used to program and train the expert system on the inter-relationships of thermo-physical and chemical properties and amine degradation so as to identify effective diagnostic plans and action needed to be taken by the plant operator when the plant deviates from the set rules.
We are continuing to build on this capacity to complete the amine index project.
- Essien, E., Ibrahim, H., Mehrandezh, M., Idem , R., 2019, Adaptive neuro-fuzzy inference system (ANFIS)– based model predictive control (MPC) for carbon dioxide reforming of methane (CDRM) in a plug flow tubular reactor for hydrogen production, Thermal Science and Engineering Progress, 9, 148-161
Selected Refereed Conference Proceedings:
- Helei Liu, Paitoon (PT) Tontiwachwuthikul, Raphael Idem, Zhiwu Liang, hermodynamics and ANN models for correlation and predication of the equilibrium CO2 solubility of seven tertiary amine solvents, 4th International Conference on Post-Combustion Carbon Capture (PCCC4) in Alabama, United States, 5th – 8th September 2017.