(734f) Real-Time Control and Balancing of a Reformer Furnace
AIChE Annual Meeting
Friday, November 2, 2018 - 9:25am to 9:42am
Motivated by the above considerations, the present work utilizes the framework for the furnace-balancing scheme , the valve-to-flow-rate converter , the statistical-based model identification  and a heuristic search algorithm to create a real-time balancing procedure, which recursively tests different total fuel flow rates of which the respective spatial distribution to burners is optimized in real-time until key operational specifications are satisfied. The ability to adjust the total fuel flow rate of the balancing procedure is of special interest for the hydrogen manufacturing industry as it can potentially lead to substantial savings in the re-tubing cost of the reformer. Subsequently, a computational fluid dynamic (CFD) model of the furnace developed in  is used to characterize the previously unstudied dynamic behavior of the reformer, based on which we develop an optimal strategy to implement the optimized total fuel flow rate to maximize the reformer throughput. Finally, a case study in which the balancing procedure is implemented on the reformer initially operated under the nominal reformer input is proposed, and the results are used to demonstrate that the furnace-balancing scheme successfully determines the optimized reformer fuel input to increase the reformer throughput while meeting the OTWT limits.
 Simpson, A.P., Lutz, A.E., 2007. Exergy analysis of hydrogen production via steam methane reforming. International Journal of Hydrogen Energy 32, 4811â4820.
 Latham, D.A., McAuley, K.B., Peppley, B.A., Raybold, T.M., 2011. Mathematical modeling of an industrial steam-methane reformer for on-line deployment. Fuel Processing Technology 92, 1574â1586.
 Tran, A., Aguirre, A., Crose, M., Durand, H., Christofides, P.D., 2017a. Temperature balancing in steam methane reforming furnace via an integrated CFD/databased optimization approach. Computers & Chemical Engineering 104, 185â200.
 Tran, A., Pont, M., Aguirre, A., Durand, H., Crose, M., Christofides, P.D., in press, 2018. Bayesian model averaging for estimating the spatial temperature distribution in a steam methane reforming furnace. Chemical Engineering Researchand Design.
 Tran, A., Aguirre, A., Durand, H., Crose, M., Christofides, P.D., 2017b. CFD modeling of a industrial-scale steam methane reforming furnace. Chemical Engineering Science 171, 576â598.