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Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 195-201 doi: 10.15302/J-FEM-2017052

Abstract: In this work, we examine the impact of crude distillation unit (CDU) model errors on the results of refinery-wideoptimization for production planning or feedstock selection.Case studies of optimal operation computed using a planning model that is based on the swing cut+ biasOur results show that significant economic benefits can be obtained using accurate CDU models in refinery

Keywords： impact of model accuracy on production planning     swing cut+ bias CDU model     hybrid CDU model     refinery feedstockselection optimization     optimization of refinery operation    

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Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1516-1532 doi: 10.1007/s11705-022-2283-7

Abstract: focuses on the integrated problem of long-term planning and short-term scheduling in a large-scale refinery-petrochemicalcomplex, and considers the overall manufacturing process from the upstream refinery to the downstreamvariables are used as the CNN input, leading to the integration of a data-driven approach and classical optimizationThe results do not only illustrate the detailed operations in a refinery and petrochemical complex under

Keywords： planning     scheduling     refinery-petrochemical     convolutional neural network     heuristic algorithm    

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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6,   Pages 759-771 doi: 10.1007/s11705-022-2269-5

Abstract: previously introduced self-organizing-map convolutional neural network model, thus leading to more accurate optimizationof the hydrocracker operation.

Keywords： hydrocracking     convolutional neural networks     self-organizing map     deep learning     data-driven optimization    

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Lessons learned from developing and implementing refinery production scheduling technologies

Marcel JOLY, Mario Y. MIYAKE

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 325-337 doi: 10.15302/J-FEM-2017033

Abstract: programs entirely implemented in an energy company devoted to developing and implementing an advanced refinery

Keywords： automation     decision making     oil refinery     optimization     production scheduling    

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Estimation and optimization operation in dealing with inflow and infiltration of a hybrid sewerage system

Mingkai Zhang, He Jing, Yanchen Liu, Hanchang Shi

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 2, doi: 10.1007/s11783-017-0912-z

Abstract: Occurrence risk index was proposed to assess catchment operation problem.The simulation results of the potential operational strategy indicated that the optimized operation strategy

Keywords： Hybrid sewerage system     Wastewater treatment plant     Optimization operation     Inflow     Infiltration    

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Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 202-213 doi: 10.15302/J-FEM-2017024

Abstract: Understanding the holistic relationship between refinery production scheduling (RPS) and the cyber-physical

Keywords： cyber-physical systems     optimization     petrochemical industry     scheduling     smart manufacturing    

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Study of operation optimization based on data mining technique in power plants

LI Jianqiang, LIU Jizhen, GU Junjie, NIU Chenglin

Frontiers in Energy 2007, Volume 1, Issue 4,   Pages 457-462 doi: 10.1007/s11708-007-0067-1

Abstract: The determination of operation optimization value is very important for economic analysis and operationoptimization in power plants.The operation optimization value determined by traditional methods usually cannot reflect the ac

Keywords： traditional     optimization     determination     economic analysis     important    

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Integrated Optimization and Management of Mining Engineering—Coordinative Operation and Optimal Management

An-lin Shao,Rui-yu Yin

Frontiers of Engineering Management 2014, Volume 1, Issue 2,   Pages 153-159 doi: 10.15302/J-FEM-2014023

Abstract: The object of management is to fulfill the multi-objective optimization.The mode reflected the overall structural optimization idea, realized the analysis, coordination andoptimization among the multiple functions and processes, and thus drove the overall efficient and profitoptimization throughout the processing flow.

Keywords： multi-system integration     engineering management     objective optimization     lean ores exploitation     engineering    

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Energy-saving operation approaches for urban rail transit systems

Ziyou GAO, Lixing YANG

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 139-151 doi: 10.1007/s42524-019-0030-7

Abstract: Thus, reducing the energy consumption and operational cost by using advanced optimization methodologiesis an urgent task for operation managers.energy-saving approaches for urban rail transit systems in three aspects, namely, train speed profile optimization, utilization of regenerative energy, and integrated optimization of train timetable and speed profile

Keywords： urban rail transit     energy saving     speed profile optimization     regenerative energy     train timetable    

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Heat Integration retrofit analysis—an oil refinery case study by Retrofit Tracing Grid Diagram

Andreja NEMET, Jiří Jaromír KLEMEŠ, Petar Sabev VARBANOV, Valter MANTELLI

Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 2,   Pages 163-182 doi: 10.1007/s11705-015-1520-8

Abstract: The application of the developed tool has been validated on an oil refinery case study.

Keywords： Heat Integration     retrofit     Pinch Analysis     thermodynamic approach     oil refinery    

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Optimization of urban bus operation frequency under common route condition with rail transit

Bin YU, Sijia REN, Enze WU, Yifan ZHOU, Yunpeng WANG

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 451-462 doi: 10.15302/J-FEM-2017036

Abstract: buses and rail transits are becoming increasingly common, this paper aims to present the overlapped operationFrequency optimization model is established in the upper-level model.algorithm called shuffled complex evolution (SCE-UA) method is used to solve the established frequency optimizationResults show that as the overlapped optimization of bus route and rail transit routes changed primary

Keywords： common route     bus operation frequency     bi-level model     Agent simulation     SCE-UA algorithm    

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Microbial community dynamics at high organic loading rates revealed by pyrosequencing during sugar refinery

Liguo Zhang, Qiaoying Ban, Jianzheng Li

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 4, doi: 10.1007/s11783-018-1045-8

Abstract:

High strength sugar refinery wastewater was treated in a mesophilic

Keywords： Upflow anaerobic sludge blanket     Sugar refinery wastewater     Organic loading rate     Pyrosequencing     Microbial    

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Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 408-417 doi: 10.15302/J-FEM-2017042

Abstract: Train speed trajectory optimization is a significant issue in railway traffic systems, and it plays a

Keywords： train speed trajectory optimization     railway operation     stochastic programming    

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Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 338-347 doi: 10.1631/FITEE.1500359

Abstract: encompassing MTN’s structure provides a framework for multimodal processes scheduling treated in terms of optimizationof the AGVs fleet scheduling problem subject to fuzzy operation time constraints.In the considered case, both production takt and operation execution time are described by impreciseIllustrative examples taking into account an uncertain specification of robots and workers operation

Keywords： Automated guided vehicles (AGVs)     Scheduling     Multimodal process     Fuzzy constraints     Optimization    

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A Knowledge Base System for Operation Optimization: Design and Implementation Practice for the Polyethylene Article

Weimin Zhong, Chaoyuan Li, Xin Peng, Feng Wan, Xufeng An, Zhou Tian

Engineering 2019, Volume 5, Issue 6,   Pages 1041-1048 doi: 10.1016/j.eng.2019.09.004

Abstract:

Setting up a knowledge base is a helpful way to optimize the operation of the polyethylene processFinally, utilizing a MySQL database and the Java programming language, a knowledge base system for the operationoptimization of the polyethylene process based on a browser/server framework is realized.

Keywords： Ontology     Operation optimization     Knowledge base system     Polyethylene process    

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Title Author Date Type Operation

Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

Journal Article

Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex

Journal Article

Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Journal Article

Lessons learned from developing and implementing refinery production scheduling technologies

Marcel JOLY, Mario Y. MIYAKE

Journal Article

Estimation and optimization operation in dealing with inflow and infiltration of a hybrid sewerage system

Mingkai Zhang, He Jing, Yanchen Liu, Hanchang Shi

Journal Article

Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Journal Article

Study of operation optimization based on data mining technique in power plants

LI Jianqiang, LIU Jizhen, GU Junjie, NIU Chenglin

Journal Article

Integrated Optimization and Management of Mining Engineering—Coordinative Operation and Optimal Management

An-lin Shao,Rui-yu Yin

Journal Article

Energy-saving operation approaches for urban rail transit systems

Ziyou GAO, Lixing YANG

Journal Article

Heat Integration retrofit analysis—an oil refinery case study by Retrofit Tracing Grid Diagram

Andreja NEMET, Jiří Jaromír KLEMEŠ, Petar Sabev VARBANOV, Valter MANTELLI

Journal Article

Optimization of urban bus operation frequency under common route condition with rail transit

Bin YU, Sijia REN, Enze WU, Yifan ZHOU, Yunpeng WANG

Journal Article

Microbial community dynamics at high organic loading rates revealed by pyrosequencing during sugar refinery

Liguo Zhang, Qiaoying Ban, Jianzheng Li

Journal Article

Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Journal Article

Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Journal Article

A Knowledge Base System for Operation Optimization: Design and Implementation Practice for the Polyethylene

Weimin Zhong, Chaoyuan Li, Xin Peng, Feng Wan, Xufeng An, Zhou Tian

Journal Article