Smart Manufacturing for the Oil Refining and Petrochemical Industry

Zhihong Yuan , Weizhong Qin , Jinsong Zhao

Engineering ›› 2017, Vol. 3 ›› Issue (2) : 179 -182.

PDF (1178KB)
Engineering ›› 2017, Vol. 3 ›› Issue (2) : 179 -182. DOI: 10.1016/J.ENG.2017.02.012
Research
Research

Smart Manufacturing for the Oil Refining and Petrochemical Industry

Author information +
History +
PDF (1178KB)

Abstract

Smart manufacturing will transform the oil refining and petrochemical sector into a connected, information-driven environment. Using real-time and high-value support systems, smart manufacturing enables a coordinated and performance-oriented manufacturing enterprise that responds quickly to customer demands and minimizes energy and material usage, while radically improving sustainability, productivity, innovation, and economic competitiveness. In this paper, several examples of the application of so-called 'smart manufacturing' for the petrochemical sector are demonstrated, such as the fault detection of a catalytic cracking unit driven by big data, advanced optimization for the planning and scheduling of oil refinery sites, and more. Key scientific factors and challenges for the further smart manufacturing of chemical and petrochemical processes are identified.

Keywords

Smart manufacturing / Petrochemical / Data-/information-driven environment

Cite this article

Download citation ▾
Zhihong Yuan, Weizhong Qin, Jinsong Zhao. Smart Manufacturing for the Oil Refining and Petrochemical Industry. Engineering, 2017, 3(2): 179-182 DOI:10.1016/J.ENG.2017.02.012

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

()

RIGHTS & PERMISSIONS

2017 THE AUTHORS. Published by Elsevier LTD on behalf of the Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

AI Summary AI Mindmap
PDF (1178KB)

48

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/