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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: In this paper, a multi-timescale optimal scheduling model is established for interconnected data centers

Keywords： model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed    

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concentration of gluconic acid from an integrated fermentation and membrane process using response surface optimized

Parimal Pal, Ramesh Kumar, Subhamay Banerjee

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 1,   Pages 152-163 doi: 10.1007/s11705-018-1721-z

Abstract: A response surface method was used to optimize the purification and concentration of gluconic acid from fermentation broth using an integrated membrane system. was used for the bioconversion of the glucose in sugarcane juice to gluconic acid (concentration 45 g?L ) with a yield of 0.9 g?g . The optimum operating conditions, such as trans-membrane pressure (TMP), pH, cross-flow rate (CFR) and initial gluconic acid concentration, were determined using response surface methodology. Five different types of polyamide nanofiltration membranes were screened and the best performing one was then used for downstream purification of gluconic acid in a flat sheet cross-flow membrane module. Under the optimum conditions (TMP= 12 bar and CFR= 400 L?h ), this membrane retained more than 85% of the unconverted glucose from the fermentation broth and had a gluconic acid permeation rate of 88% with a flux of 161 L?m ?h . Using response surface methods to optimize this green nanofiltration process is an effective way of controlling the production of gluconic acid so that an efficient separation with high flux is obtained.

Keywords： gluconic acid     optimized nanofiltration     green processing     process intensification    

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Erratum to: Optimized determination of airborne tetracycline resistance genes in laboratory atmosphere

Lu Song, Can Wang, Yizhu Wang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1289-y

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Dynamic simulation based optimized design method of concrete production system for RCC dam

ZHAO Chunju, ZHOU Yihong

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 4,   Pages 405-410 doi: 10.1007/s11709-007-0055-6

Abstract: The construction system of roller compacted concrete (RCC) dam is running according to a series of connected procedures which are highly impacted and interacted consisting with the resource level. Therefore, a dynamic simulation mode

Keywords： interacted     dynamic simulation     construction     resource     RCC    

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Development and challenges of planning and scheduling for petroleum and petrochemical production

Fupei LI, Minglei YANG, Wenli DU, Xin DAI

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 373-383 doi: 10.1007/s42524-020-0123-3

Abstract: Production planning and scheduling are becoming the core of production management, which support theThe optimization of production planning and scheduling is attempted by every refinery because it gainsresearch with mathematical programming is a conventional approach used to address the planning and schedulingThis paper introduces the perspective of production planning and scheduling from the development viewpoint

Keywords： planning and scheduling     optimization     modeling    

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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: novel and highly specialized computer-aided decision-making technologies for short-term production schedulingimplemented in an energy company devoted to developing and implementing an advanced refinery production scheduling

Keywords： automation     decision making     oil refinery     optimization     production scheduling    

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A review of intelligent optimization for group scheduling problems in cellular manufacturing

Frontiers of Engineering Management   Pages 406-426 doi: 10.1007/s42524-022-0242-0

Abstract: productivity, and enhance the flexibility of manufacturing, especially cellular manufacturing, group schedulingare given for outspread problems and problem algorithms for future research in the fields of group scheduling

Keywords： cellular manufacturing     group scheduling     flowshop     literature review    

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the terrain adaptability of a multirobot cooperative transportation system via novel connectors and optimized

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0754-2

Abstract: Given limited terrain adaptability, most existing multirobot cooperative transportation systems (MRCTSs) mainly work on flat pavements, restricting their outdoor applications. The connectors’ finite deformation capability and the control strategies’ limitations are primarily responsible for this phenomenon. This study proposes a novel MRCTS based on tracked mobile robots (TMRs) to improve terrain adaptability and expand the application scenarios of MRCTSs. In structure design, we develop a novel 6-degree-of-freedom passive adaptive connector to link multiple TMRs and the transported object (the communal payload). In addition, the connector is set with sensors to measure the position and orientation of the robot with respect to the object for feedback control. In the control strategy, we present a virtual leader–physical follower collaborative paradigm. The leader robot is imaginary to describe the movement of the entire system and manage the follower robots. All the TMRs in the system act as follower robots to transport the object cooperatively. Having divided the whole control structure into the leader robot level and the follower robot level, we convert the motion control of the two kinds of robots to trajectory tracking control problems and propose a novel double closed-loop kinematics control framework. Furthermore, a control law satisfying saturation constraints is derived to ensure transportation stability. An adaptive control algorithm processes the wheelbase uncertainty of the TMR. Finally, we develop a prototype of the TMR-based MRCTS for experiments. In the trajectory tracking experiment, the developed MRCTS with the proposed control scheme can converge to the reference trajectory in the presence of initial tracking errors in a finite time. In the outdoor experiment, the proposed MRCTS consisting of four TMRs can successfully transport a payload weighing 60 kg on an uneven road with the single TMR’s maximum load limited to 15 kg. The experimental results demonstrate the effectiveness of the structural design and control strategies of the TMR-based MRCTS.

Keywords： multirobot system     cooperative transportation     terrain adaptability     trajectory tracking     collaborative paradigm     uneven road    

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A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1688-y

Abstract:

● A novel VMD-IGOA-LSTM model has proposed for the prediction of water quality.

Keywords： Water quality prediction     Grasshopper optimization algorithm     Variational mode decomposition     Long short-term memory neural network    

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A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 338-350 doi: 10.1007/s11465-019-0572-8

Abstract: In this paper, a two-stage low-carbon scheduling optimization method of job shop is presented as part

Keywords： Low-carbon manufacturing     carbon efficiency     multi-objective optimization     two-stage scheduling     job shop    

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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1667-3

Abstract:

● Hybrid deep-learning model is proposed for water quality prediction.

Keywords： Water quality prediction     Soft-sensor     Anaerobic process     Tree-structured Parzen Estimator    

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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-physicalproduction environment with smart scheduling is a new question posed in the study of process systemsstate-of-the-art RSPs in the crude-oil refining field and present examples that illustrate how smart scheduling

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

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Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 378-395 doi: 10.1007/s11709-022-0899-9

Abstract: This paper presents a combined method based on optimized neural networks and optimization algorithmsThe main idea is to utilize an optimized artificial neural network (OANN) as a surrogate model to reduce

Keywords： optimization     surrogate models     artificial neural network     SAP2000     genetic algorithm    

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Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 519-531 doi: 10.1631/FITEE.1400399

Abstract: In this paper, we propose an energy-aware scheduling algorithm with equalized frequency, called EASEF

Keywords： Directed acyclic graph     Dynamic voltage scaling     Energy aware     Heterogeneous systems     Task scheduling    

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Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5,   Pages 777-786 doi: 10.1007/s11783-013-0537-9

Abstract: A hydraulic model-based emergency scheduling Decision Support System (DSS) is designed to eliminate themodules, including water quality prediction, system safety assessment, emergency strategy inference and schedulingOtherwise, a Genetic Algorithm (GA)-based optimization model will be used to find the least-cost schedulingThrough scenario analysis, it is demonstrated that this DSS tool is instrumental in emergency scheduling

Keywords： decision support system     raw water supply system     contamination incident     emergency scheduling     hydraulic    

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Title Author Date Type Operation

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article

concentration of gluconic acid from an integrated fermentation and membrane process using response surface optimized

Parimal Pal, Ramesh Kumar, Subhamay Banerjee

Journal Article

Erratum to: Optimized determination of airborne tetracycline resistance genes in laboratory atmosphere

Lu Song, Can Wang, Yizhu Wang

Journal Article

Dynamic simulation based optimized design method of concrete production system for RCC dam

ZHAO Chunju, ZHOU Yihong

Journal Article

Development and challenges of planning and scheduling for petroleum and petrochemical production

Fupei LI, Minglei YANG, Wenli DU, Xin DAI

Journal Article

Lessons learned from developing and implementing refinery production scheduling technologies

Marcel JOLY, Mario Y. MIYAKE

Journal Article

A review of intelligent optimization for group scheduling problems in cellular manufacturing

Journal Article

the terrain adaptability of a multirobot cooperative transportation system via novel connectors and optimized

Journal Article

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Journal Article

A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

Journal Article

Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

Journal Article

Refinery production scheduling toward Industry 4.0

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

Journal Article

Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Journal Article

Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Journal Article

Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

Journal Article