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2017, Vol.3, Issue.2

On the cover

In response to the significant need to transform and promote the process industry in China, this issue presents the major existing limitations of current petrochemical enterprises, including limitations in decision-making, production operation, efficiency and security, information integration, and more. To promote a process industry that is based on high-end, smart, and green production, modern information technology should be utilized in the whole optimization process of production, management, and sales. This photograph is taken from the Sinopec Zhenhai Refining & Chemical Company, which is upheld as an example of smart manufacturing by the Ministry of Industry and Information Technology of the People’s Republic of China.

Topic Editorial Board

Smart Process Manufacturing

Guest Editors-in-Chief

Qian, Feng, East China University of Science and Technology, China

Bogle, Ian David Lockhart, University College London, United Kingdom

Executive Associate Editors

Du, Wenli, East China University of Science and Technology, China

Tang, Yang, East China University of Science and Technology, China


Yu, Aibing, Monash University, Australia

Ogunnaike, Babatunde, University of Delaware, USA

Chen, Bingzhen, Tsinghua University, China

Lewis, Frank L., University of Texas, USA

Marin, Guy, Ghent University, Belgium

Li, Jinghai, Institute of Process Engineering, Chinese Academy of Sciences, China

Wang, Jingkang, Tianjing University, China

Syamlal, Madhava, National Energy Technology Laboratory, USA

Shah, Nilay, Imperial College London, UK

Chai, Tianyou, Northeastern University, China

Mahalec, Vladimir, McMaster University, Canada

Gui, Weihua, Central South University, China

Xian, You, Zhejiang University, China

Contents Volume 3 · Issue 2 · 2017. Pages 151-278 17 articles

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Smart and Optimal Manufacturing: The Key for the Transformation and Development of the Process Industry

Feng Qian

Engineering 2017, Volume 3, Issue 2,   Pages 151-151 doi:10.1016/J.ENG.2017.02.016

Abstract 1251 PDF 79

Views & Comments

Toward Greener and Smarter Process Industries

Wei Ge,Li Guo,Jinghai Li

Engineering 2017, Volume 3, Issue 2,   Pages 152-153 doi:10.1016/J.ENG.2017.02.010

Abstract 618 PDF 57


Smart Process Manufacturing

Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry

Feng Qian,Weimin Zhong,Wenli Du

Engineering 2017, Volume 3, Issue 2,   Pages 154-160 doi:10.1016/J.ENG.2017.02.011

Abstract 3517 PDF 349

A Perspective on Smart Process Manufacturing Research Challenges for Process Systems Engineers

Ian David Lockhart Bogle

Engineering 2017, Volume 3, Issue 2,   Pages 161-165 doi:10.1016/J.ENG.2017.02.003

Abstract 1598 PDF 144

Artificial versus Natural Reuse of CO2 for DME Production: Are We Any Closer?

Martín Mariano

Engineering 2017, Volume 3, Issue 2,   Pages 166-170 doi:10.1016/J.ENG.2017.02.002

Abstract 935 PDF 29

New Trends in Olefin Production

Ismaël Amghizar,Laurien A. Vandewalle,Kevin M. Van Geem,Guy B. Marin

Engineering 2017, Volume 3, Issue 2,   Pages 171-178 doi:10.1016/J.ENG.2017.02.006

Abstract 2096 PDF 101

Smart Manufacturing for the Oil Refining and Petrochemical Industry

Zhihong Yuan,Weizhong Qin,Jinsong Zhao

Engineering 2017, Volume 3, Issue 2,   Pages 179-182 doi:10.1016/J.ENG.2017.02.012

Abstract 2900 PDF 167

Recent Progress on Data-Based Optimization for Mineral Processing Plants

Jinliang Ding,Cuie Yang,Tianyou Chai

Engineering 2017, Volume 3, Issue 2,   Pages 183-187 doi:10.1016/J.ENG.2017.02.015

Abstract 977 PDF 67

Global Optimization of Nonlinear Blend-Scheduling Problems

Pedro A. Castillo Castillo Pedro M. Castro,Vladimir Mahalec

Engineering 2017, Volume 3, Issue 2,   Pages 188-201 doi:10.1016/J.ENG.2017.02.005

Abstract 2172 PDF 55

Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming

Vassilis M. Charitopoulos,Lazaros G. Papageorgiou,Vivek Dua

Engineering 2017, Volume 3, Issue 2,   Pages 202-213 doi:10.1016/J.ENG.2017.02.008

Abstract 1680 PDF 60

Real-Time Assessment and Diagnosis of Process Operating Performance

Shabnam Sedghi,Biao Huang

Engineering 2017, Volume 3, Issue 2,   Pages 214-219 doi:10.1016/J.ENG.2017.02.004

Abstract 1077 PDF 49

Upstream Operations in the Oil Industry: Rigorous Modeling of an Electrostatic Coalescer

Francesco Rossi, Simone Colombo, Sauro Pierucci, Eliseo Ranzi, Flavio Manenti

Engineering 2017, Volume 3, Issue 2,   Pages 220-231 doi:10.1016/J.ENG.2017.02.013

Abstract 1252 PDF 31

Improving Prediction Accuracy of a Rate-Based Model of an MEA-Based Carbon Capture Process for Large-Scale Commercial Deployment

Xiaobo Luo,Meihong Wang

Engineering 2017, Volume 3, Issue 2,   Pages 232-243 doi:10.1016/J.ENG.2017.02.001

Abstract 3062 PDF 147

Interactions between the Design and Operation of Shale Gas Networks, Including CO2 Sequestration

Sharifzadeh Mahdi,Xingzhi Wang,Nilay Shah

Engineering 2017, Volume 3, Issue 2,   Pages 244-256 doi:10.1016/J.ENG.2017.02.007

Abstract 1023 PDF 30

Climate Change

Environmental and Dynamic Conditions for the Occurrence of Persistent Haze Events in North China

Yihui Ding,Ping Wu,Yanju Liu,Yafang Song

Engineering 2017, Volume 3, Issue 2,   Pages 266-271 doi:10.1016/J.ENG.2017.01.009

Abstract 722 PDF 41