Читать книгу Profit Maximization Techniques for Operating Chemical Plants - Sandip K. Lahiri - Страница 71

If data is the new oil in a modern chemical industry, then the data‐driven modeling technique is a combustion engine. Industrial chemical processes are complex to understand and difficult to model. However, to increase profit and run the chemical processes at their optimum, availability of a reliable mathematical model is very crucial. Chemical engineering has not developed to accurately develop the phenomenological model of complex chemical processes like catalytic reactors, adsorption, etc. As the chemical industry has a huge amount of historical operating data available in its server, a data‐driven process modeling technique has emerged as a viable option. How to use various data‐driven modeling techniques to increase profit in plants is a key challenge. Data‐driven modeling is an important tool used to increase profit by modeling major process equipment and then optimizing various process parameters associated with it so that performance of the equipment is maximized. In this step, big ticket items like a reactor, major distillation columns, and major compressors are identified where developing a model and later optimizing it can have a big impact on plant profitability.