Dynamic Simulation Optimization And Control Of Flexible Chemical Looping Combustion Processes

Dynamic Simulation, Optimization, and Control of Flexible Chemical-looping Combustion Processes

Dynamic Simulation of the Chemical Looping Combustion Process

In this Ph.D. thesis a system of coupled fluidized bed reactors is modelled and simulated dynamically. Chemical Looping Combustion was used as an exemplary process in both the numerical and the experimental part of this work. For the simulation purpose a novel flowsheeting software was used and models for the needed process units developed and integrated into this software. The needed unit models were three interconnected fluidized bed reactors in circulating and bubbling operation conditions, a cyclone for gas-solid separation and loop seals, which ensured solids transport and gas separation between the reactors. Additionally, lab scale experiments on the reactivity of the used solids, oxygen carrier and solid fuels, were conducted and kinetic parameters extracted. All unit models were connected to a process flowsheet and simulated dynamically. The simulation results were compared to experimental data from a 25 kWth pilot plant operated at the university by the author. It could be shown that a detailed and dynamic simulation of the whole process can be carried out over a time period of more than 45 minutes and the experimental results from start-up, steady state operation and shutdown of the plant were predicted accurately.

Simulation and Optimization in Process Engineering

Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Process Industry brings together examples where the successful transfer of progress made in mathematical simulation and optimization has led to innovations in an industrial context that created substantial benefit. Containing introductory accounts on scientific progress in the most relevant topics of process engineering (substance properties, simulation, optimization, optimal control and real time optimization), the examples included illustrate how such scientific progress has been transferred to innovations that delivered a measurable impact, covering details of the methods used, and more. With each chapter bringing together expertise from academia and industry, this book is the first of its kind, providing demonstratable insights. - Recent mathematical methods are transformed into industrially relevant innovations. - Covers recent progress in mathematical simulation and optimization in a process engineering context with chapters written by experts from both academia and industry - Provides insight into challenges in industry aiming for a digitized world.