Design optimization and control of dividing wall column for purification of trichlorosilane
文献类型：期刊论文
| 作者 | Zhang, Haohao1,2; Lu, Ping2; Ding, Zhe1,2; Li, Yingbo2; Li, Hai2; Hua, Chao2; Wu, Zhe3 |
| 刊名 | CHEMICAL ENGINEERING SCIENCE
 |
| 出版日期 | 2022-08-10 |
| 卷号 | 257页码:23 |
| ISSN号 | 0009-2509 |
| 关键词 | Dividing wall column MPC PI Simulated annealing algorithm Dynamic optimization Control and safety performance |
| DOI | 10.1016/j.ces.2022.117716 |
| 英文摘要 | Polysilicon quality and energy consumption are directly affected by the purification process of trichlorosilane. In this work, the dividing wall column (DWC) as a promising energy-saving technology is utilized for trichlorosilane purification, with the design optimization carried out using steady-state simulation. Compared with conventional distillation process, DWC can reduce total annual cost (TAC), CO2 emissions and exergy loss (El) by 35.81%, 53.56% and 54.10% on average, respectively. Established on the characteristics of superfractionator, four control structures are proposed in this work, two of which are multi-loop proportional-integral (PI) control schemes including condenser duty (C), distillate flow rate (D), bottom flow rate (B)/reflux flow rate (R), side flow rate (S), reboiler duty (V) control structure and optimal energy control structure. The other two are model predictive control (MPC) schemes including standard MPC structure and MPC-PI hybrid structure. The weights of MPC controller are optimized using the simulated annealing (SA) algorithm. Dynamic simulation results demonstrate that MPC schemes achieve improved closed-loop performance in terms of minor overshoot, shorter transition time and reduced oscillation than PI control schemes. The integral absolute error (IAE) is introduced to further quantitatively evaluate MPC schemes. The simulation results demonstrate that the standard MPC structure achieves the best control performance and the MPC-PI hybrid structure enhances process safety while maintaining the desired control performance.(c) 2022 Elsevier Ltd. All rights reserved. |
| WOS关键词 | MODEL-PREDICTIVE CONTROL ; PROPORTIONAL-INTEGRAL CONTROL ; EXTRACTIVE DISTILLATION ; OPERATIONAL SAFETY ; HIGH-PURITY ; SEPARATION |
| 资助项目 | National Key Research and Development Program of China[2019YFC1907600] ; Science and Technology Service Network Program[KFJ-STS-QYZD-2021-14-002] ; Key Research and Development Program of Ningxia[2020BDE02025] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:000807739200002 |
| 资助机构 | National Key Research and Development Program of China ; Science and Technology Service Network Program ; Key Research and Development Program of Ningxia |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/53844]  |
| 专题 | 中国科学院过程工程研究所 |
| 通讯作者 | Hua, Chao; Wu, Zhe |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Chem Engn, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Proc Engn, Key Lab Green Proc & Engn, Beijing 100190, Peoples R China 3.Natl Univ Singapore, Dept Chem & Biomol Engn, Singapore 117585, Singapore |
| 推荐引用方式 GB/T 7714 | Zhang, Haohao,Lu, Ping,Ding, Zhe,et al. Design optimization and control of dividing wall column for purification of trichlorosilane[J]. CHEMICAL ENGINEERING SCIENCE,2022,257:23. |
| APA | Zhang, Haohao.,Lu, Ping.,Ding, Zhe.,Li, Yingbo.,Li, Hai.,...&Wu, Zhe.(2022).Design optimization and control of dividing wall column for purification of trichlorosilane.CHEMICAL ENGINEERING SCIENCE,257,23. |
| MLA | Zhang, Haohao,et al."Design optimization and control of dividing wall column for purification of trichlorosilane".CHEMICAL ENGINEERING SCIENCE 257(2022):23. |
入库方式： OAI收割
来源：过程工程研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。