Title : Mathematical modeling, optimization and design of control schemes for chemical reactors applied to the production of clean energy
Abstract:
The use of technology to develop clean energy from renewable raw materials (biomass) is increasing as a result of the fight against high consumption of fossil fuels (oil, gas, and coal). This is due to their contribution to the increase in greenhouse gases, which are responsible for environmental problems such as global warming and atmospheric pollution. Strategies to reduce pollutant emissions often involve designing chemical reactors, such as bioreactors, photocatalytic reactors, and biomass gasifiers, to produce clean fuels. The performance of a chemical reactor, at any scale (bench, pilot, semi-industrial, and industrial), depends on the development of an accurate mathematical model. This model should describe the reactor's behavior under a wide range of operating conditions and consider the effects of different process variables. However, to ensure the chemical reactor's robustness in complex operation scenarios, the use of optimization techniques, both conventional and non-conventional, is crucial. However, the high exothermicity of clean energy production processes requires careful analysis and a deep understanding of temperature dynamics and the temperature runaway phenomenon to develop optimal control schemes for the various chemical reactors involved. It is therefore essential to have a precise mathematical model, optimization and control scheme for the design and simulation of a chemical reactor used in different processes to ensure its optimum performance.
Audience Takeaway Notes:
- The audience will understand the significance of using tools like mathematical models, optimization techniques (both conventional and non-conventional), and control schemes for analyzing, designing, and simulating chemical reactors and other process equipment used in catalytic processes. These processes include the conversion of renewable raw materials into clean energy.
- Professionals in industrial catalysis and process engineering understand the significance of developing mathematical models and applying optimization and control techniques to comprehensively analyze chemical process equipment, including chemical reactors used in various complex catalytic processes. This enables the development of efficient simulations for optimal process design. Furthermore, technical staff will comprehend how the control and optimization algorithms are integrated into a reliable simulation.
- The application of mathematical modeling tools, optimization and control techniques enables researchers and technical staff to explore crucial aspects of process engineering, including process dynamics, high dimensionality, non-linearities, and stability analysis.
