(576b) Modular Gas-to-Liquids Process with Membrane Steam-Methane Reformer, Fischer–Tropsch Reactive Distillation and Integrated Product Refining
AIChE Annual Meeting
2019
2019 AIChE Annual Meeting
Topical Conference: Advances in Fossil Energy R&D
Design and Optimization of Environmentally Sustainable Advanced Fossil Energy Systems
Wednesday, November 13, 2019 - 3:55pm to 4:20pm
Zhang et al. [3] developed an equation-oriented framework for optimal synthesis of integrated reactive distillation (RD) systems for FischerâTropsch processes in GAMS which has recently been implemented in PYOMO. To produce synthesis gas at the required H2/CO ratio for the RD process, we are developing an membrane steam-methane reforming (SMR) model. This optimization-based model provides flexibility in both process design and operation. The excess hydrogen from the reformer is used to optimize gasoline and diesel production in the product refining sections.
The models are developed in Python and the optimization of the integrated flowsheet is implemented in PYOMO. The use of the SMR with internal hydrogen separation greatly improves conversion and lowers operating conditions. This type of modular design and integration of processes, which is suitable for small-scale plants, also has the potential to ease the scalability of the process.
[1] W.D. Shafer, M.K. Gnanamani, U. Graham, J. Yang, C.M. Masuku, G. Jacobs, B.H. Davis, FischerâTropsch: product distribution â The fingerprint of synthetic fuels, Catalysts 9 (2019) 259.
[2] C.M. Masuku, L.T. Biegler, Recent advances in gas-to-liquids process intensification with emphasis on reactive distillation, Curr. Opin. Chem. Eng. (2019) https://doi.org/10.1016/j.coche.2018.12.009.
[3] Y. Zhang, C.M. Masuku, L.T. Biegler, Equation-oriented framework for optimal synthesis of integrated reactive distillation systems for the FischerâTropsch processes, Energy Fuels 32 (2018) 7199â7209.
Keywords: Equation-Oriented Optimization Framework, Detailed Kinetic Model, Small-Scale GTL, FischerâTropsch Synthesis, Process Intensification.