Dynamic control of a stand-alone syngas production system with near-zero CO2 emissions

A series combination of steam methane reforming (SMR) and dry reforming of methane (DRM) is developed as a stand-alone syngas production (SASP) system in which the heat recovery mechanism can fully replace the hot/cold utilities. The optimum operating conditions can be found by using the optimization algorithm to maximize the syngas yield subject to near-zero CO2 emission constraints. Since the syngas yield and CO2 emissions are strongly affected by process interactions and unknown perturbations, the process control method is utilized to stabilize the SASP system. Through the Hammerstein model identification, nonlinear inversion and model-based control methods, it is verified that the multi-loop nonlinear control strategy can ensure satisfactory control performance.

[1]  Z. Hou,et al.  Chapter 7 – Dry (CO2) Reforming , 2011 .

[2]  Francisco Jurado,et al.  Improving distribution system stability by predictive control of gas turbines , 2006 .

[3]  Thomas F. Edgar,et al.  Process Dynamics and Control , 1989 .

[4]  Tracy J. Benson,et al.  Process simulation and optimization of methanol production coupled to tri-reforming process , 2013 .

[5]  S. Oyama,et al.  Dry reforming of methane has no future for hydrogen production: Comparison with steam reforming at high pressure in standard and membrane reactors , 2012 .

[6]  Şeyma Özkara-Aydınoğlu,et al.  Thermodynamic equilibrium analysis of combined carbon dioxide reforming with steam reforming of methane to synthesis gas , 2010 .

[7]  R. J. Smith,et al.  Hydrogen production by onboard gasoline processing – Process simulation and optimization , 2013 .

[8]  X. Verykios Catalytic dry reforming of natural gas for the production of chemicals and hydrogen , 2003 .

[9]  N. Amin,et al.  Thermodynamic analysis of carbon dioxide reforming of methane in view of solid carbon formation , 2011 .

[10]  Helen H. Lou,et al.  Evaluation of the economic and environmental impact of combining dry reforming with steam reforming of methane , 2012 .

[11]  Przemyslaw Sliwinski,et al.  On-line wavelet estimation of Hammerstein system nonlinearity , 2010, Int. J. Appl. Math. Comput. Sci..

[12]  Michele Aresta,et al.  Carbon dioxide recovery and utilization , 2003 .

[13]  Chonghun Han,et al.  Optimal Design and Decision for Combined Steam Reforming Process with Dry Methane Reforming to Reuse CO2 as a Raw Material , 2012 .

[14]  Subhash Bhatia,et al.  Catalytic Technology for Carbon Dioxide Reforming of Methane to Synthesis Gas , 2009 .

[15]  S. Bhatia,et al.  Hydrogen production from carbon dioxide reforming of methane over Ni–Co/MgO–ZrO2 catalyst: Process optimization , 2011 .

[16]  M. M. and,et al.  Kinetic Analysis of Rate Data for Dry Reforming of Methane , 2007 .

[17]  Unni Olsbye,et al.  Kinetic and Reaction Engineering Studies of Dry Reforming of Methane over a Ni/La/Al2O3 Catalyst , 1997 .

[18]  Gao Qing Lu,et al.  Carbon Dioxide Reforming of Methane To Produce Synthesis Gas over Metal-Supported Catalysts: State of the Art , 1996 .

[19]  Azah Mohamed,et al.  An improved control method of battery energy storage system for hourly dispatch of photovoltaic power sources , 2013 .

[20]  Wei Wu,et al.  Design and evaluation of a heat-integrated hydrogen production system by reforming methane and carbon dioxide , 2013 .

[21]  Jun Liang,et al.  Multi-loop nonlinear internal model controller design under nonlinear dynamic PLS framework using ARX-neural network model , 2012 .

[22]  Franjo Jović,et al.  Process Control Systems , 1986 .

[23]  G. Froment,et al.  Methane steam reforming, methanation and water‐gas shift: I. Intrinsic kinetics , 1989 .

[24]  M. H. Chakrabarti,et al.  Fuel blending effects on the co-gasification of coal and biomass – A review , 2013 .

[25]  Wei Wu,et al.  A conceptual design of a stand-alone hydrogen production system with low carbon dioxide emissions , 2012 .

[26]  Wei Wei,et al.  Integration of H2/Syngas Production Technologies with Future Energy Systems , 2009 .