DOI: 10.1016/j.jcou.2017.10.014
Scopus记录号: 2-s2.0-85035041397
论文题名: Simulation and optimization of reforming reactors for carbon dioxide utilization using both rigorous and reduced models
作者: Balasubramanian P. ; Bajaj I. ; Hasan M.M.F.
刊名: Journal of CO2 Utilization
ISSN: 22129820
出版年: 2018
卷: 23 起始页码: 80
结束页码: 104
语种: 英语
英文关键词: Carbon dioxide utilization
; Optimization
; Reactor modeling
; Simulation
; Surrogate model
Scopus关键词: Algebra
; Carbon dioxide
; Fossil fuels
; Fuel additives
; Greenhouse gases
; Integer programming
; Methane
; Nonlinear programming
; Optimization
; Reforming reactions
; Small nuclear reactors
; Synthesis gas
; Carbon dioxide utilization
; Mixed-integer nonlinear optimization
; Reactor modeling
; Simulation
; Simulation and analysis
; Simulation and optimization
; Surrogate model
; Thermochemical Conversion
; Steam reforming
英文摘要: CO2 is a major greenhouse gas emitted at the global scale from burning fossil fuels. Converting CO2 to chemicals such as syngas is a promising way to reduce CO2 emissions from stationary sources. In this work, we explore technologies for the thermochemical conversion of CO2 to syngas using both rigorous and reduced order reactor models. Specifically, we study the CO2 utilization potentials of primary reforming such as dry reforming (DR), steam methane reforming (SMR) and partial oxidation (POX), and combined reforming such as combined dry and steam methane reforming (CDSMR), auto-thermal reforming (ATR), combined partial oxidation and dry reforming (PODR) and tri-reforming (TR). Through detailed simulation and analysis, we show the importance of considering rigorous models for accurate prediction. We also develop algebraic surrogate models for reactor outlets as functions of reactor design and operating conditions. The replacement of the high-fidelity models with their simpler algebraic surrogates provides an efficient way for superstructure-based reactor synthesis. Using a mixed-integer nonlinear optimization (MINLP)-based reactor synthesis model, the reactors are further optimized for maximizing CO2 utilization and syngas selectivity. PODR has been found to have the highest potential for converting CO2 for the range of syngas ratios (H2/CO) between 1 and 1.7, achieving almost 100% CO2 conversion with a syngas selectivity ranging 80–93%. We further improve the conversion and syngas selectivity by distributing the feeds to multiple reformers. A combination of DR, CDSMR and TR achieves the best CO2 conversion for syngas ratios up to 2.4. For higher syngas ratios, a combination of SMR, TR and RWGS are found to be optimal. These are non-intuitive results that need further attention. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111989
Appears in Collections: 气候减缓与适应
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作者单位: Artie McFerrin Department of Chemical Engineering, Texas A&M University, 3122 TAMU, College Station, TX 77843, United States
Recommended Citation:
Balasubramanian P.,Bajaj I.,Hasan M.M.F.. Simulation and optimization of reforming reactors for carbon dioxide utilization using both rigorous and reduced models[J]. Journal of CO2 Utilization,2018-01-01,23