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NTIS 바로가기Thermal science and engineering progress, v.9, 2019년, pp.148 - 161
Essien, Ememobog , Ibrahim, Hussameldin , Mehrandezh, Mehran , Idem, Raphael
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Energy Sources, Part A: Recovery, Utilization, Environ. Effects Balat 31 39 2008 10.1080/15567030701468068 Possible methods for hydrogen production
Li 2010 2010 International Conference Mechanic Automation and Control Engineering (MACE)
Int. J. Hydrogen Energy Padin 25 295 2000 10.1016/S0360-3199(99)00028-2 Hybrid solar high-temperature hydrogen production system
Int. J. Hydrogen Energy Abbas 35 1160 2010 10.1016/j.ijhydene.2009.11.036 Hydrogen production by methane decomposition: a review
Energy Saxe 32 42 2007 10.1016/j.energy.2006.01.021 Advantages of integration with industry for electrolytic hydrogen production
Chem. Rev. Navarro 107 3952 2007 10.1021/cr0501994 Hydrogen production reactions from carbon feedstocks: fossil fuels and biomass
Renew. Sustain. Energy Rev. Sharma 43 1151 2015 10.1016/j.rser.2014.11.093 Hydrogen the future transportation fuel: from production to applications
Renew. Sustain. Energy Rev. Kothari 12 553 2008 10.1016/j.rser.2006.07.012 Comparison of environmental and economic aspects of various hydrogen production methods
Int. J. Hydrogen Energy Momirlan 30 795 2005 10.1016/j.ijhydene.2004.10.011 The properties of hydrogen as fuel tomorrow in sustainable energy system for a cleaner planet
Renew. Sustain. Energy Rev. Momirlan 3 219 1999 10.1016/S1364-0321(98)00017-3 Recent directions of world hydrogen production
Renew. Sustain. Energy Rev. Momirlan 6 141 2002 10.1016/S1364-0321(02)00004-7 Current status of hydrogen energy
J. Fuel Chem. Technol. Li 38 195 2010 10.1016/S1872-5813(10)60029-1 Carbon dioxide reforming of methane to synthesis gas by an atmospheric pressure plasma jet
Int. J. Hydrogen Energy Li 33 2507 2008 10.1016/j.ijhydene.2008.02.051 Thermodynamic analysis of autothermal steam and CO2 reforming of methane
Chem. Eng. Sci. Akpan 62 4012 2007 10.1016/j.ces.2007.04.044 Kinetics, experimental and reactor modeling studies of the carbon dioxide reforming of methane (CDRM) over a new Ni/CeO2-ZrO2 catalyst in a packed bed tubular reactor
Int. J. Hydrogen Energy Arbag 35 2296 2010 10.1016/j.ijhydene.2009.12.109 Activity and stability enhancement of Ni-MCM-41 catalysts by Rh incorporation for hydrogen from dry reforming of methane
Int. J. Hydrogen Energy Barroso-Quiroga 35 6052 2010 10.1016/j.ijhydene.2009.12.073 Catalytic activity and effect of modifiers on Ni-based catalysts for the dry reforming of methane
Int. J. Hydrogen Energy Fidalgo 33 4337 2008 10.1016/j.ijhydene.2008.05.056 Microwave-assisted dry reforming of methane
ChemEng. Mohamedali 2 9 2018 Recent advances in supported metal catalysts for syngas production from methane
J. Process Control Aguilar 12 695 2002 10.1016/S0959-1524(01)00034-8 Temperature control in catalytic cracking reactors via a robust PID controller
Chem. Eng. Sci. Wu 58 2023 2003 10.1016/S0009-2509(03)00051-4 Nonlinear inferential control for an exothermic packed-bed reactor: geometric approaches
Chem. Eng. Sci. Chen 46 1041 1991 10.1016/0009-2509(91)85097-H Adaptive inferential control of packed-bed reactors
J. Process Control Luyben 9 301 1999 10.1016/S0959-1524(99)00002-5 Temperature control of autorefrigerated reactors
Int. J. Hydrogen Energy Vernon 34 877 2009 10.1016/j.ijhydene.2008.11.028 Implications of sensor location in steam reformer temperature control
Comput. Chem. Eng. Karafyllis 26 1087 2002 10.1016/S0098-1354(02)00027-3 Control of hot spots in plug flow reactors
Chem. Eng. Commun. Fonseca 203 1251 2016 10.1080/00986445.2016.1172484 Experimental fuzzy/split-range control: novel strategy for biodiesel batch reactor temperature control
Zahran 172 2017 2017 13th International Computer Engineering Conference (ICENCO) Fluid catalytic cracking unit control using model predictive control and adaptive neuro fuzzy inference system: Comparative study
Fuel Process. Technol. Nouralishahi 89 667 2008 10.1016/j.fuproc.2007.12.004 Determination of optimal temperature profile in an OCM plug flow reactor for the maximizing of ethylene production
Chem. Eng. Sci. Logist 62 4675 2007 10.1016/j.ces.2007.05.027 Optimal temperature profiles for tubular reactors implemented through a flow reversal strategy
J. Process Control Logist 18 92 2008 10.1016/j.jprocont.2007.05.001 Derivation of generic optimal reference temperature profiles for steady-state exothermic jacketed tubular reactors
J. Process Control Scattolini 19 723 2009 10.1016/j.jprocont.2009.02.003 Architectures for distributed and hierarchical model predictive control - A review
J. Process Control Tsai 13 423 2003 10.1016/S0959-1524(02)00067-7 Developing a robust model predictive control architecture through regional knowledge analysis of artificial neural networks
Baocang 2009 Modern Predictive Control
Camacho 2013 Model Predictive Control
J. Process Control Escano 19 1566 2009 10.1016/j.jprocont.2009.07.016 Neurofuzzy model based predictive control for thermal batch processes
10.1109/TAC.1997.633847 J.-S.R. Jang, C.-T. Sun, E. Mizutani, Neuro-fuzzy and soft computing; a computational approach to learning and machine intelligence, 1997.
IFAC-PapersOnLine Abrashov 50 11331 2017 10.1016/j.ifacol.2017.08.1668 Model predictive control tuning: methods and issues. application to steering wheel position control
IFAC-PapersOnLine Odgaaard 48 327 2015 10.1016/j.ifacol.2015.12.399 On practical tuning of model uncertainty in wind turbine model predictive control
Energy Build. Maasoumy 77 377 2014 10.1016/j.enbuild.2014.03.057 Handling model uncertainty in model predictive control for energy efficient buildings
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