The Experts below are selected from a list of 177579 Experts worldwide ranked by ideXlab platform
Dexian Huang - One of the best experts on this subject based on the ideXlab platform.
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CASE - Reaction Temperature estimation in Shell coal gasification process
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), 2019Co-Authors: Kangcheng Wang, Chao Shang, Fan Yang, Yongheng Jiang, Dexian HuangAbstract:The Reaction Temperature plays an important role in the Shell coal gasification process (SCGP). Research on the estimation of the Reaction Temperature is investigated, and a modeling method, which integrates mechanism analysis and data analytics, is adopted in this work. The SCGP is briefly introduced, and a typical fault closely related to the Reaction Temperature is analyzed. Mechanistic models of main building blocks are developed, and state-space models are established. The Kalman Filter algorithm is applied to estimate the Reaction Temperature. An industrial case study is performed to validate the effectiveness of the proposed method. The estimated Reaction Temperature has a reasonable range, and it is validated by CO 2 concentration. By monitoring the estimated Reaction Temperature, operators can observe the changes in operating conditions much earlier. The failure-free time length can be increased, and more economic benefits can be achieved.
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Reaction Temperature estimation in Shell coal gasification process
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), 2019Co-Authors: Kangcheng Wang, Chao Shang, Fan Yang, Yongheng Jiang, Dexian HuangAbstract:The Reaction Temperature plays an important role in the Shell coal gasification process (SCGP). Research on the estimation of the Reaction Temperature is investigated, and a modeling method, which integrates mechanism analysis and data analytics, is adopted in this work. The SCGP is briefly introduced, and a typical fault closely related to the Reaction Temperature is analyzed. Mechanistic models of main building blocks are developed, and state-space models are established. The Kalman Filter algorithm is applied to estimate the Reaction Temperature. An industrial case study is performed to validate the effectiveness of the proposed method. The estimated Reaction Temperature has a reasonable range, and it is validated by CO2 concentration. By monitoring the estimated Reaction Temperature, operators can observe the changes in operating conditions much earlier. The failure-free time length can be increased, and more economic benefits can be achieved.
Kangcheng Wang - One of the best experts on this subject based on the ideXlab platform.
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CASE - Reaction Temperature estimation in Shell coal gasification process
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), 2019Co-Authors: Kangcheng Wang, Chao Shang, Fan Yang, Yongheng Jiang, Dexian HuangAbstract:The Reaction Temperature plays an important role in the Shell coal gasification process (SCGP). Research on the estimation of the Reaction Temperature is investigated, and a modeling method, which integrates mechanism analysis and data analytics, is adopted in this work. The SCGP is briefly introduced, and a typical fault closely related to the Reaction Temperature is analyzed. Mechanistic models of main building blocks are developed, and state-space models are established. The Kalman Filter algorithm is applied to estimate the Reaction Temperature. An industrial case study is performed to validate the effectiveness of the proposed method. The estimated Reaction Temperature has a reasonable range, and it is validated by CO 2 concentration. By monitoring the estimated Reaction Temperature, operators can observe the changes in operating conditions much earlier. The failure-free time length can be increased, and more economic benefits can be achieved.
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Reaction Temperature estimation in Shell coal gasification process
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), 2019Co-Authors: Kangcheng Wang, Chao Shang, Fan Yang, Yongheng Jiang, Dexian HuangAbstract:The Reaction Temperature plays an important role in the Shell coal gasification process (SCGP). Research on the estimation of the Reaction Temperature is investigated, and a modeling method, which integrates mechanism analysis and data analytics, is adopted in this work. The SCGP is briefly introduced, and a typical fault closely related to the Reaction Temperature is analyzed. Mechanistic models of main building blocks are developed, and state-space models are established. The Kalman Filter algorithm is applied to estimate the Reaction Temperature. An industrial case study is performed to validate the effectiveness of the proposed method. The estimated Reaction Temperature has a reasonable range, and it is validated by CO2 concentration. By monitoring the estimated Reaction Temperature, operators can observe the changes in operating conditions much earlier. The failure-free time length can be increased, and more economic benefits can be achieved.
Burtron H. Davis - One of the best experts on this subject based on the ideXlab platform.
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Fischer–Tropsch Synthesis: Effect of Reaction Temperature for Aqueous-Phase Synthesis Over a Platinum Promoted Co/Alumina Catalyst
Catalysis Letters, 2014Co-Authors: Venkat Ramana Rao Pendyala, Wilson D. Shafer, Gary Jacobs, Burtron H. DavisAbstract:The effect of Reaction Temperature on the performance of a traditional Fischer–Tropsch cobalt catalyst (0.5 % Pt–25 % Co/Al_2O_3) was investigated during aqueous-phase Fischer–Tropsch synthesis (AFTS) using a 1 L stirred tank reactor in the batch mode of operation. The CO conversion rate of the catalyst was found to increase monotonically with increasing Reaction Temperature. At lower Temperatures oxygenate selectivity was high. With increasing the Reaction Temperature, oxygenate selectivity decreased and the selectivity to hydrocarbons increased. Carbon dioxide and methane selectivity also increased with Reaction Temperature and the corresponding higher hydrocarbon (C_5+) selectivity decreased. For comparison, the CO conversion rate of the catalyst was also tested using C_30 oil as a solvent, and similar activation and Reaction conditions were utilized in the batch mode of operation. Slightly higher CO rate was observed with C_30 oil as a solvent than with the water.Graphical Abstract
James Julson - One of the best experts on this subject based on the ideXlab platform.
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the effects of Reaction Temperature and time and particle size of corn stover on microwave pyrolysis
Energy & Fuels, 2009Co-Authors: James JulsonAbstract:This study investigated microwave pyrolysis of corn stover with particle sizes from 0.5 to 4 mm and determined the effects of Reaction Temperature and time of pyrolytic conditions on the yields of bio-oil, syngas, and biochar. Mineral and GC/MS analysis were used to study the pyrolysis of corn stover. A prediction model was satisfactorily developed to describe the biofuel conversion yield as a function of Reaction Temperature and time. Corn stover with different particle sizes was found to be similarly pyrolyzed by microwave heating. The research results indicate that thermochemical conversion Reactions can take place rapidly in large-sized corn stover by using microwave pyrolysis. Mineral analysis indicates that most minerals stayed with the biochar. GC/MS analysis indicates that the bio-oil contained a series of important and useful chemical compounds: phenols, aliphatic hydrocarbons, aromatic hydrocarbons, and furan derivatives. These chemical compounds evolved were related to the pyrolysis conditions.
Yongheng Jiang - One of the best experts on this subject based on the ideXlab platform.
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CASE - Reaction Temperature estimation in Shell coal gasification process
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), 2019Co-Authors: Kangcheng Wang, Chao Shang, Fan Yang, Yongheng Jiang, Dexian HuangAbstract:The Reaction Temperature plays an important role in the Shell coal gasification process (SCGP). Research on the estimation of the Reaction Temperature is investigated, and a modeling method, which integrates mechanism analysis and data analytics, is adopted in this work. The SCGP is briefly introduced, and a typical fault closely related to the Reaction Temperature is analyzed. Mechanistic models of main building blocks are developed, and state-space models are established. The Kalman Filter algorithm is applied to estimate the Reaction Temperature. An industrial case study is performed to validate the effectiveness of the proposed method. The estimated Reaction Temperature has a reasonable range, and it is validated by CO 2 concentration. By monitoring the estimated Reaction Temperature, operators can observe the changes in operating conditions much earlier. The failure-free time length can be increased, and more economic benefits can be achieved.
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Reaction Temperature estimation in Shell coal gasification process
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), 2019Co-Authors: Kangcheng Wang, Chao Shang, Fan Yang, Yongheng Jiang, Dexian HuangAbstract:The Reaction Temperature plays an important role in the Shell coal gasification process (SCGP). Research on the estimation of the Reaction Temperature is investigated, and a modeling method, which integrates mechanism analysis and data analytics, is adopted in this work. The SCGP is briefly introduced, and a typical fault closely related to the Reaction Temperature is analyzed. Mechanistic models of main building blocks are developed, and state-space models are established. The Kalman Filter algorithm is applied to estimate the Reaction Temperature. An industrial case study is performed to validate the effectiveness of the proposed method. The estimated Reaction Temperature has a reasonable range, and it is validated by CO2 concentration. By monitoring the estimated Reaction Temperature, operators can observe the changes in operating conditions much earlier. The failure-free time length can be increased, and more economic benefits can be achieved.
