Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Ding-Sou Chen"'
Publikováno v:
Journal of the Taiwan Institute of Chemical Engineers. 146:104779
Publikováno v:
Journal of the Taiwan Institute of Chemical Engineers. 113:273-284
In an ammonia-based post-combustion carbon capture (PCC) process, the regeneration energy of CO2-lean solvent comprises the main fraction of overall energy consumption. The use of a pressurized CO2 stripper to enhance the CO2 purity in the overhead v
Publikováno v:
Computer Aided Chemical Engineering ISBN: 9780323851596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::772854f3dfd4f94b8c3a4089228eb932
https://doi.org/10.1016/b978-0-323-85159-6.50268-2
https://doi.org/10.1016/b978-0-323-85159-6.50268-2
Energy-saving performance of the process modifications for carbon capture by diluted aqueous ammonia
Publikováno v:
Journal of the Taiwan Institute of Chemical Engineers. 130:103966
The regeneration energies of CO2-lean solvent and NH3-washing water comprise the main fractions of the total energy consumption in an NH3-based post-combustion carbon capture (PCC) process. However, the reconfiguration of the CO2 absorption process m
Autor:
Ding-Sou Chen, Jialin Liu
This work investigated the aqueous ammonia-based post-combustion CO2 capture (PCC) process using the rate-based model in Aspen Plus, by which the overall energy consumption was minimized under varying the important parameters, such as: the NH3 concen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d161f6d4ab03c1b2720679ae7ee0fbee
https://doi.org/10.1016/b978-0-444-64241-7.50012-4
https://doi.org/10.1016/b978-0-444-64241-7.50012-4
Autor:
Ding-Sou Chen, Jialin Liu
Publikováno v:
2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP).
In the present work, the aqueous ammonia-based post-combustion CO 2 capture (PCC) process is simulated using the rate-based model in Aspen Plus, by which the method of sizing column heights is revealed. The heights of the staged CO 2 absorbers and th
Publikováno v:
Journal of Process Control. 24:1068-1075
This paper developed a new variable selection method for soft sensor applications using the nonnegative garrote (NNG) and artificial neural network (ANN). The proposed method employs the ANN to generate a well-trained network, and then uses the NNG t
Publikováno v:
Journal of Process Control. 24:1-21
The isolation of faulty variables is a crucial step in the determination of the root causes of a process fault. Contribution plots, with their corresponding control limits, are the most popular tools used for isolating faulty variables. However, the
Autor:
Jialin Liu, Ding-Sou Chen
Publikováno v:
Computers & Chemical Engineering. 61:9-19
Investigating the root causes of abnormal events is a crucial task for an industrial process. When process faults are detected, isolating the faulty variables provides additional information for investigating the root causes of the faults. Numerous d
Publikováno v:
Asia-Pacific Journal of Chemical Engineering. 7:S134-S144
Developing soft sensors for an industrial process, the colinearity of the predictor variables and the time-varying nature of the process need to be concerned. In many industrial applications, the partial least square (PLS) has been proven to be able