Performance enhancement of commercial ethylene oxide reactor by artificial intelligence approach
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Somnath Chowdhury
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Abhiram Hens
Abstract
The present work emphasizes the development of a generic methodology that addresses the core issue of any running chemical plant, i.e., how to maintain a delicate balance between profit and environmental impact. Here, an ethylene oxide (EO) production plant has been taken as a case study. The production of EO takes place in a multiphase catalytic reactor, the reliable first principle-based model of which is still not available in the literature. Artificial neural network (ANN) was therefore applied to develop a data-driven model of the complex reactor with the help of actual industrial data. The model successfully built up a correlation between the catalyst selectivity and temperature with other operational parameters. A hybrid multi-objective metaheuristic optimization technique, namely ANN-multi-objective genetic algorithm (MOGA) algorithm was used to develop a Pareto diagram of selectivity versus reactor temperature. The Pareto diagram will help the plant engineers to make a strategy on what operating conditions to be maintained to make a delicate balance between profit and environmental impact. It was also found that by applying this hybrid ANN-MOGA modeling and optimization technique, for a 720 KTA ethylene glycol plant, approximately 32,345 ton/year of carbon-di-oxide emission into the atmosphere can be reduced. Along with the reduction of environmental impact, this hybrid approach enables the plant to reduce raw material cost of nine million USD per annum simultaneously.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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© 2021 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Articles
- CFD research on the influence of geometry characteristic on flow pattern and the transition mechanism in Rushton turbine stirred vessels
- Insight on micro bubbling mechanism in a 2D fluidized bed with Group D particles
- Parametric optimization of a coiled agitated vessel with TiO2/water nanofluid
- Highly efficient photo-degradation of cetirizine antihistamine with TiO2-SiO2 photocatalyst under ultraviolet irradiation
- DEM study of the angle of repose and porosity distribution of cylindrical particles with different lengths
- Analysis of flow pattern characteristics and strengthening mechanism of co-rotating and counter-rotating mixing with double impellers on different string shafts
- Comprehensive evaluation of the blast furnace status based on data mining and mechanism analysis
- Performance enhancement of commercial ethylene oxide reactor by artificial intelligence approach
- Study of catalytic hydrogenation performance for the Pd/CeO2 catalysts
- Performance of flow distribution in a microchannel parallel flow gas cooler with stepped protrusion depth header
Artikel in diesem Heft
- Frontmatter
- Articles
- CFD research on the influence of geometry characteristic on flow pattern and the transition mechanism in Rushton turbine stirred vessels
- Insight on micro bubbling mechanism in a 2D fluidized bed with Group D particles
- Parametric optimization of a coiled agitated vessel with TiO2/water nanofluid
- Highly efficient photo-degradation of cetirizine antihistamine with TiO2-SiO2 photocatalyst under ultraviolet irradiation
- DEM study of the angle of repose and porosity distribution of cylindrical particles with different lengths
- Analysis of flow pattern characteristics and strengthening mechanism of co-rotating and counter-rotating mixing with double impellers on different string shafts
- Comprehensive evaluation of the blast furnace status based on data mining and mechanism analysis
- Performance enhancement of commercial ethylene oxide reactor by artificial intelligence approach
- Study of catalytic hydrogenation performance for the Pd/CeO2 catalysts
- Performance of flow distribution in a microchannel parallel flow gas cooler with stepped protrusion depth header
