CFD-based multi-objective optimization of a quench reactor design
| Autor: | Uwe Prüfert, Bernd Meyer, Philip Rößger, Konrad Uebel, Andreas Richter |
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| Rok vydání: | 2016 |
| Předmět: |
Computer simulation
business.industry 020209 energy General Chemical Engineering Computation Flow (psychology) Energy Engineering and Power Technology Robust optimization 02 engineering and technology Computational fluid dynamics Multi-objective optimization Fuel Technology 020401 chemical engineering Genetic algorithm 0202 electrical engineering electronic engineering information engineering 0204 chemical engineering Reduction (mathematics) business Process engineering |
| Zdroj: | Fuel Processing Technology. 149:290-304 |
| ISSN: | 0378-3820 |
| DOI: | 10.1016/j.fuproc.2016.04.008 |
| Popis: | The combination of advances in Computational Fluid Dynamics (CFD) reactive flow predictions together with mature, robust optimization techniques provides the opportunity to evolve promising design development methods. A quench conversion reactor concept has been chosen to perform a CFD-based multi-objective optimization on the basis of an optimization concept for turbulent, reactive flows using a Multi-Objective Genetic Algorithm (MOGA-II). The study includes the pre-optimization of the numerical setup as well as the reduction of a detailed chemical mechanism to reduce computation time and also fit the specific quench concept syngas and reaction conditions. Geometric and process parameters have been defined as control parameters to maximize the H 2 /CO ratio in the syngas and minimize the corresponding exit temperature. To achieve this, three cases with different optimization strategies, including a Pareto optimization, are investigated and discussed. Optimized, feasible design options for the quench reactor were obtained. |
| Databáze: | OpenAIRE |
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