A review of district heating systems: modeling and optimization
The ever-increasing demand for heating in different sectors, along with more preventative
regulations on greenhouse emissions, has forced different countries to seek new …
regulations on greenhouse emissions, has forced different countries to seek new …
[HTML][HTML] Smart manufacturing for the oil refining and petrochemical industry
Z Yuan, W Qin, J Zhao - Engineering, 2017 - Elsevier
Smart manufacturing will transform the oil refining and petrochemical sector into a
connected, information-driven environment. Using real-time and high-value support …
connected, information-driven environment. Using real-time and high-value support …
[PDF][PDF] 石油和化工行业智能优化制造若干问题及挑战
钱锋, 杜文莉, 钟伟民, 唐漾 - 自动化学报, 2017 - aas.net.cn
摘要石油和化工行业是国家的基础性产业, 目前面临转型升级的重大需求.
本文首先回顾了石油和化工行业在生产全流程的信息检测, 建模, 优化控制 …
本文首先回顾了石油和化工行业在生产全流程的信息检测, 建模, 优化控制 …
Data-Driven Ionic Liquid Design for CO2 Capture: Molecular Structure Optimization and DFT Verification
To identify optimal ionic liquids (ILs) for CO2 capture, an efficient computer-aided IL design
(CAILD) approach is desired. The traditional CAILD methods usually combine an equation …
(CAILD) approach is desired. The traditional CAILD methods usually combine an equation …
Integrating tactical planning, operational planning and scheduling using data-driven feasibility analysis
O Badejo, M Ierapetritou - Computers & Chemical Engineering, 2022 - Elsevier
Supply chain operations and scheduling are well-studied problems in the literature.
Although these problems are related, they are often solved sequentially. This uncoordinated …
Although these problems are related, they are often solved sequentially. This uncoordinated …
A deep learning-based robust optimization approach for refinery planning under uncertainty
Refinery planning under uncertainty has gained tremendous attention, and this paper
bridges deep learning and robust optimization to address this issue. First, we propose a …
bridges deep learning and robust optimization to address this issue. First, we propose a …
Development and challenges of planning and scheduling for petroleum and petrochemical production
F Li, M Yang, W Du, X Dai - Frontiers of Engineering Management, 2020 - Springer
Production planning and scheduling are becoming the core of production management,
which support the decision of a petrochemical company. The optimization of production …
which support the decision of a petrochemical company. The optimization of production …
[HTML][HTML] A perspective on smart process manufacturing research challenges for process systems engineers
IDL Bogle - Engineering, 2017 - Elsevier
The challenges posed by smart manufacturing for the process industries and for process
systems engineering (PSE) researchers are discussed in this article. Much progress has …
systems engineering (PSE) researchers are discussed in this article. Much progress has …
Carbon-efficient production planning for long-chain integrated refinery-petrochemical processes: A material-energy-carbon optimization perspective
The integrated refinery-petrochemical plant produces multiple oil products and
petrochemical materials, which process consumes large amounts of energy and generates …
petrochemical materials, which process consumes large amounts of energy and generates …
110th Anniversary: Using Data to Bridge the Time and Length Scales of Process Systems
In this paper, we review the role of data as a “bridge” connecting the different time/length
scales of chemical processes in mathematical modeling and multiscale, integrated decision …
scales of chemical processes in mathematical modeling and multiscale, integrated decision …