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Development of a hydrodynamic model and the corresponding virtual software for dual-loop circulating fluidized beds

Shanwei Hu, Xinhua Liu

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3,   Pages 579-590 doi: 10.1007/s11705-020-1953-6

Abstract: Modeling the gas-solid CFB system requires a quantitative description of the multiscale heterogeneityThis article proposed a general method for modeling multi-loop CFB systems by utilizing the energy minimizationmultiscale (EMMS) principle.

Keywords： multi-loop circulating fluidized bed     mathematical modeling     energy minimization multiscale     virtual fluidization    

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Optimal operation of energy at hydrothermal power plants by simultaneous minimization of pollution and

Homayoun EBRAHIMIAN,Bahman TAHERI,Nasser YOUSEFI

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 426-432 doi: 10.1007/s11708-015-0376-4

Abstract: The aim of this paper is simultaneous minimization of hydrothermal units to reach the best solution by

Keywords： practical constraints of units     pollution function     inlet steam valve     up-ramp rate of units     improved ABC algorithm    

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Multiscale process systems engineering—analysis and design of chemical and energy systems from molecular

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 137-140 doi: 10.1007/s11705-021-2135-x

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Impact of energy structure adjustment on air quality: a case study in Beijing, China

Bin ZHAO, Jiayu XU, Jiming HAO

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3,   Pages 378-390 doi: 10.1007/s11783-011-0357-8

Abstract: Energy consumption is a major cause of air pollution in Beijing, and the adjustment of the energy structureIn this paper, we explored the future trend of energy structure adjustment in Beijing till 2020, designedfive energy scenarios focusing on the fuel substitution in power plants and heating sectors, establishedinventories, and utilized the Mesoscale Modeling System Generation 5 (MM5) and the Models-3/Community MultiscaleBy implementing this systematic energy structure adjustment, the emissions of PM , PM , SO , NO , and

Keywords： Beijing     energy structure adjustment     air quality     Community Multiscale Air Quality Model (CMAQ)     scenario    

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Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent

Lingxuan LIU, Zhongshun SHI, Leyuan SHI

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 487-498 doi: 10.15302/J-FEM-2018042

Abstract:

This study investigates an energy-aware flow shop scheduling problem with a time-dependent learningproposed scheduling problem is shown and objective is to determine a job sequence in which the total energy

Keywords： flow shop     energy-aware scheduling     learning effect     nested partition     worst-case error bound    

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Topology optimization based on reduction methods with applications to multiscale design and additive

Emmanuel TROMME, Atsushi KAWAMOTO, James K. GUEST

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 151-165 doi: 10.1007/s11465-019-0564-8

Abstract: Topology optimization is an ideal tool for navigating this multiscale design problem and leveraging the

Keywords： multiscale topology optimization     micro-structure     additive manufacturing     reduction techniques     substructuring    

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Special Column on Multiscale Stochastic Finite Element Method

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 105-106 doi: 10.1007/s11709-015-0297-7

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Mechanism on minimization of excess sludge in oxic-settling-anaerobic (OSA) process

WANG Jianfang, ZHAO Qingliang, JIN Wenbiao, LIN Jikan

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 1,   Pages 36-43 doi: 10.1007/s11783-008-0001-4

Abstract: It has been concluded that multiple causes resulted in the minimization of excess sludge in the OSA system
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Optimization of cold-end system of thermal power plants based on entropy generation minimization

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 956-972 doi: 10.1007/s11708-021-0785-5

Abstract: Cold-end systems are heat sinks of thermal power cycles, which have an essential effect on the overall performance of thermal power plants. To enhance the efficiency of thermal power plants, multi-pressure condensers have been applied in some large-capacity thermal power plants. However, little attention has been paid to the optimization of the cold-end system with multi-pressure condensers which have multiple parameters to be identified. Therefore, the design optimization methods of cold-end systems with single- and multi-pressure condensers are developed based on the entropy generation rate, and the genetic algorithm (GA) is used to optimize multiple parameters. Multiple parameters, including heat transfer area of multi-pressure condensers, steam distribution in condensers, and cooling water mass flow rate, are optimized while considering detailed entropy generation rate of the cold-end systems. The results show that the entropy generation rate of the multi-pressure cold-end system is less than that of the single-pressure cold-end system when the total condenser area is constant. Moreover, the economic performance can be improved with the adoption of the multi-pressure cold-end system. When compared with the single-pressure cold-end system, the excess revenues gained by using dual- and quadruple-pressure cold-end systems are 575 and 580 k$/a, respectively.

Keywords： cold-end system     entropy generation minimization     optimization     economic analysis     genetic algorithm    

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Power system reconfiguration and loss minimization for a distribution systems using “Catfish PSO” algorithm

K Sathish KUMAR,S NAVEEN

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 434-442 doi: 10.1007/s11708-014-0313-y

Abstract: One of the very important ways to save electrical energy in the distribution system is network reconfigurationreconfiguration (DFR) problem for a 33-bus and a 16-bus sample network, which effectively ensures the loss minimization

Keywords： distribution system reconfiguration (DFR)     power loss reduction     catfish particle swarm optimization (catfish PSO)     radial structure    

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A multiscale material model for heterogeneous liquid droplets in solid soft composites

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1292-1299 doi: 10.1007/s11709-021-0771-3

Abstract: research revisits the available models for liquid droplets in solid soft composites and presents a multiscale

Keywords： liquid in solid     soft composite     computational modeling     multiscale model     heterogeneity    

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Robust design approach to the minimization of functional performance variations of products and systems

J. ZHANG, H. DU, D. XUE, P. GU

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 379-392 doi: 10.1007/s11465-020-0607-1

Abstract: Functional performance variations of products and systems are often used to measure the qualities of products and systems considering the changes in the design parameter values caused by uncertainties. A robust design approach has been developed in this research to minimize the functional performance variations considering the design parameter uncertainties by identifying the boundaries of the functional performance variations through optimization. In this work, a mathematical model is developed to describe the relationships among functional performance, design configurations and parameters, and design parameter uncertainties. A multi-level optimization model is established to identify: (1) The optimal design configuration, (2) the optimal values of design parameters, and (3) the boundaries of functional performance variations. Sensitivity analysis considering the impact of parameter uncertainties on functional performance variation boundaries has also been conducted. A case study on the design of a truss system has been conducted. Case study results show that the sensitivities of functional performance variation boundaries to the design parameter uncertainties can be reduced significantly using the new robust design approach.

Keywords： product design     robust design     design optimization     uncertainties    

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A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloud

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 422-434 doi: 10.1631/FITEE.1500316

Abstract: ordinary hardware platform, we propose an efficient framework to reconstruct 3D dynamic objects using a multiscale-contour-based

Keywords： Multi-view video     Free-viewpoint video     Point-pair     Multiscale-contour-based interpolation     Spatio-temporal-contour    

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Connected morphable components-based multiscale topology optimization

Jiadong DENG, Claus B. W. PEDERSEN, Wei CHEN

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 129-140 doi: 10.1007/s11465-019-0532-3

Abstract: techniques, such as additive manufacturing, have provided unprecedented opportunities for producing multiscaleHowever, there are still difficulties for the state-of-the-art multiscale topology optimization (TO)methods to achieve manufacturable multiscale designs with cellular materials, partially due to the disconnectivitypaper attempts to address the disconnectivity issue by extending component-based TO methodology to multiscaleNumerical examples demonstrate that multiscale structures with well-connected material microstructures

Keywords： multiscale topology optimization     morphable component     material microstructure     homogenization    

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: Among existing methods for homogenization, computational homogenization is widely used in multiscaleThe neural networks can be used to construct fully decoupled approaches in nonlinear multiscale methodsComputational homogenization methods for nonlinear material and implementation of offline multiscaleThis article intends to model the multiscale constitution using feedforward neural network (FNN) andApplications to two-dimensional multiscale analysis are tested and discussed in detail.

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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Title Author Date Type Operation

Development of a hydrodynamic model and the corresponding virtual software for dual-loop circulating fluidized beds

Shanwei Hu, Xinhua Liu

Journal Article

Optimal operation of energy at hydrothermal power plants by simultaneous minimization of pollution and

Homayoun EBRAHIMIAN,Bahman TAHERI,Nasser YOUSEFI

Journal Article

Multiscale process systems engineering—analysis and design of chemical and energy systems from molecular

Journal Article

Impact of energy structure adjustment on air quality: a case study in Beijing, China

Bin ZHAO, Jiayu XU, Jiming HAO

Journal Article

Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent

Lingxuan LIU, Zhongshun SHI, Leyuan SHI

Journal Article

Topology optimization based on reduction methods with applications to multiscale design and additive

Emmanuel TROMME, Atsushi KAWAMOTO, James K. GUEST

Journal Article

Special Column on Multiscale Stochastic Finite Element Method

Journal Article

Mechanism on minimization of excess sludge in oxic-settling-anaerobic (OSA) process

WANG Jianfang, ZHAO Qingliang, JIN Wenbiao, LIN Jikan

Journal Article

Optimization of cold-end system of thermal power plants based on entropy generation minimization

Journal Article

Power system reconfiguration and loss minimization for a distribution systems using “Catfish PSO” algorithm

K Sathish KUMAR,S NAVEEN

Journal Article

A multiscale material model for heterogeneous liquid droplets in solid soft composites

Journal Article

Robust design approach to the minimization of functional performance variations of products and systems

J. ZHANG, H. DU, D. XUE, P. GU

Journal Article

A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloud

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

Journal Article

Connected morphable components-based multiscale topology optimization

Jiadong DENG, Claus B. W. PEDERSEN, Wei CHEN

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article