Model-based control of temperature and energy requirements in a fluidised furnace reactor

Spyros S. Voutetakis, Panos Seferlis, Simira Papadopoulou and Yorgos Kyriakos

Energy, 2006, vol. 31, issue 13, 2418-2427

Abstract: The main objective is to improve the control performance during catalyst processing experiments in a furnace heated fluidised bed reactor. A model-based predictive control strategy is implemented for the tight control of the reactor temperature and the overall energy requirements. A detailed dynamic model is developed for the furnace reactor and validated using open-loop experimental data. Dynamic programming techniques are used for the calculation of the optimal sequence of manipulated variables that minimise the difference between the desired and the predicted reactor temperature trajectories. The model predictive control strategy leads to superior performance than the previously installed system that consisted of conventional PID controllers.

Keywords: FCC catalyst deactivation; Model predictive control; Dynamic programming (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:31:y:2006:i:13:p:2418-2427

DOI: 10.1016/j.energy.2005.10.019

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