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In this Special Issue, we have several papers related to fuel-cell-based cogeneration systems; the management and control of fuel cell systems; the analysis, simulation, and operation of different types of fuel cells; modelling and online experimental validation; and the environment assessment of cathode materials in lithium-ion battery energy generation systems. A paper which gives a comprehensive review with technical guidelines for the design and operation of fuel cells, especially in a cogeneration system setup, which can be an important source of references for the optimal design and operation of various types of fuel cells in cogeneration systems, can also be found in this Special Issue.
History of engineering & technology --- LIBs --- environmental sustainability --- cathode material --- LCA --- wind energy --- fuel cell --- IM --- induction generator --- hybrid system --- mine blast optimizer --- solid oxide fuel cell --- robust model predictive control --- off-line calculation --- control synthesis --- review --- cogeneration --- optimal design --- guidelines --- SOFC --- simulation --- internal reforming --- anode oxidation --- carbon formation --- direct methanol fuel cell --- methanol crossover --- power density --- catalyst --- membrane electrode assembly --- Colebrook equation --- fuel cells --- flow friction factor --- open-cathode --- pressure drop --- symbolic regression --- numerically stabile solution --- roughness --- n/a
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In this Special Issue, we have several papers related to fuel-cell-based cogeneration systems; the management and control of fuel cell systems; the analysis, simulation, and operation of different types of fuel cells; modelling and online experimental validation; and the environment assessment of cathode materials in lithium-ion battery energy generation systems. A paper which gives a comprehensive review with technical guidelines for the design and operation of fuel cells, especially in a cogeneration system setup, which can be an important source of references for the optimal design and operation of various types of fuel cells in cogeneration systems, can also be found in this Special Issue.
LIBs --- environmental sustainability --- cathode material --- LCA --- wind energy --- fuel cell --- IM --- induction generator --- hybrid system --- mine blast optimizer --- solid oxide fuel cell --- robust model predictive control --- off-line calculation --- control synthesis --- review --- cogeneration --- optimal design --- guidelines --- SOFC --- simulation --- internal reforming --- anode oxidation --- carbon formation --- direct methanol fuel cell --- methanol crossover --- power density --- catalyst --- membrane electrode assembly --- Colebrook equation --- fuel cells --- flow friction factor --- open-cathode --- pressure drop --- symbolic regression --- numerically stabile solution --- roughness --- n/a
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In this Special Issue, we have several papers related to fuel-cell-based cogeneration systems; the management and control of fuel cell systems; the analysis, simulation, and operation of different types of fuel cells; modelling and online experimental validation; and the environment assessment of cathode materials in lithium-ion battery energy generation systems. A paper which gives a comprehensive review with technical guidelines for the design and operation of fuel cells, especially in a cogeneration system setup, which can be an important source of references for the optimal design and operation of various types of fuel cells in cogeneration systems, can also be found in this Special Issue.
History of engineering & technology --- LIBs --- environmental sustainability --- cathode material --- LCA --- wind energy --- fuel cell --- IM --- induction generator --- hybrid system --- mine blast optimizer --- solid oxide fuel cell --- robust model predictive control --- off-line calculation --- control synthesis --- review --- cogeneration --- optimal design --- guidelines --- SOFC --- simulation --- internal reforming --- anode oxidation --- carbon formation --- direct methanol fuel cell --- methanol crossover --- power density --- catalyst --- membrane electrode assembly --- Colebrook equation --- fuel cells --- flow friction factor --- open-cathode --- pressure drop --- symbolic regression --- numerically stabile solution --- roughness
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Control system engineering is a multidisciplinary discipline that applies automatic control theory to design systems with desired behaviors in control environments. Automatic control theory has played a vital role in the advancement of engineering and science. It has become an essential and integral part of modern industrial and manufacturing processes. Today, the requirements for control precision have increased, and real systems have become more complex. In control engineering and all other engineering disciplines, the impact of advanced mathematical and computational methods is rapidly increasing. Advanced mathematical methods are needed because real-world control systems need to comply with several conditions related to product quality and safety constraints that have to be taken into account in the problem formulation. Conversely, the increment in mathematical complexity has an impact on the computational aspects related to numerical simulation and practical implementation of the algorithms, where a balance must also be maintained between implementation costs and the performance of the control system. This book is a comprehensive set of articles reflecting recent advances in developing and applying advanced mathematics and computational applications in control system engineering.
Technology: general issues --- doubly fed induction generator --- PI tuning --- LCL-filter --- passive damping --- advanced metaheuristics --- Bonferroni–Dunn and Friedman’s tests --- resistance spot welding --- dynamic resistance model --- adaptive control --- energy savings --- adaptive disturbance rejection controller --- hybrid systems --- state constraint --- worm robot --- bio-inspired robots --- Streeter–Phelps model --- fractional-order control --- high observers --- river monitoring --- 3 DOF crane --- convex systems --- fault-tolerant control --- robust control --- qLPV systems --- Takagi–Sugeno systems --- chaos --- synchronization --- FPGA --- UDS --- distillation column heating actuator --- Buck-Boost converter --- Takagi–Sugeno model --- fuzzy observer with sliding modes --- nonlinear optimization --- turbulent flow --- friction factor --- pipe roughness --- minor losses --- PID control and variants --- Intelligent control techniques --- neural control --- brushless DC electric motors --- sensors and virtual instruments --- analysis and treatment of signals --- n/a --- Bonferroni-Dunn and Friedman's tests --- Streeter-Phelps model --- Takagi-Sugeno systems --- Takagi-Sugeno model
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Control system engineering is a multidisciplinary discipline that applies automatic control theory to design systems with desired behaviors in control environments. Automatic control theory has played a vital role in the advancement of engineering and science. It has become an essential and integral part of modern industrial and manufacturing processes. Today, the requirements for control precision have increased, and real systems have become more complex. In control engineering and all other engineering disciplines, the impact of advanced mathematical and computational methods is rapidly increasing. Advanced mathematical methods are needed because real-world control systems need to comply with several conditions related to product quality and safety constraints that have to be taken into account in the problem formulation. Conversely, the increment in mathematical complexity has an impact on the computational aspects related to numerical simulation and practical implementation of the algorithms, where a balance must also be maintained between implementation costs and the performance of the control system. This book is a comprehensive set of articles reflecting recent advances in developing and applying advanced mathematics and computational applications in control system engineering.
doubly fed induction generator --- PI tuning --- LCL-filter --- passive damping --- advanced metaheuristics --- Bonferroni–Dunn and Friedman’s tests --- resistance spot welding --- dynamic resistance model --- adaptive control --- energy savings --- adaptive disturbance rejection controller --- hybrid systems --- state constraint --- worm robot --- bio-inspired robots --- Streeter–Phelps model --- fractional-order control --- high observers --- river monitoring --- 3 DOF crane --- convex systems --- fault-tolerant control --- robust control --- qLPV systems --- Takagi–Sugeno systems --- chaos --- synchronization --- FPGA --- UDS --- distillation column heating actuator --- Buck-Boost converter --- Takagi–Sugeno model --- fuzzy observer with sliding modes --- nonlinear optimization --- turbulent flow --- friction factor --- pipe roughness --- minor losses --- PID control and variants --- Intelligent control techniques --- neural control --- brushless DC electric motors --- sensors and virtual instruments --- analysis and treatment of signals --- n/a --- Bonferroni-Dunn and Friedman's tests --- Streeter-Phelps model --- Takagi-Sugeno systems --- Takagi-Sugeno model
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Control system engineering is a multidisciplinary discipline that applies automatic control theory to design systems with desired behaviors in control environments. Automatic control theory has played a vital role in the advancement of engineering and science. It has become an essential and integral part of modern industrial and manufacturing processes. Today, the requirements for control precision have increased, and real systems have become more complex. In control engineering and all other engineering disciplines, the impact of advanced mathematical and computational methods is rapidly increasing. Advanced mathematical methods are needed because real-world control systems need to comply with several conditions related to product quality and safety constraints that have to be taken into account in the problem formulation. Conversely, the increment in mathematical complexity has an impact on the computational aspects related to numerical simulation and practical implementation of the algorithms, where a balance must also be maintained between implementation costs and the performance of the control system. This book is a comprehensive set of articles reflecting recent advances in developing and applying advanced mathematics and computational applications in control system engineering.
Technology: general issues --- doubly fed induction generator --- PI tuning --- LCL-filter --- passive damping --- advanced metaheuristics --- Bonferroni-Dunn and Friedman's tests --- resistance spot welding --- dynamic resistance model --- adaptive control --- energy savings --- adaptive disturbance rejection controller --- hybrid systems --- state constraint --- worm robot --- bio-inspired robots --- Streeter-Phelps model --- fractional-order control --- high observers --- river monitoring --- 3 DOF crane --- convex systems --- fault-tolerant control --- robust control --- qLPV systems --- Takagi-Sugeno systems --- chaos --- synchronization --- FPGA --- UDS --- distillation column heating actuator --- Buck-Boost converter --- Takagi-Sugeno model --- fuzzy observer with sliding modes --- nonlinear optimization --- turbulent flow --- friction factor --- pipe roughness --- minor losses --- PID control and variants --- Intelligent control techniques --- neural control --- brushless DC electric motors --- sensors and virtual instruments --- analysis and treatment of signals
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The demand for computational fluid dynamics (CFD)-based numerical techniques is increasing rapidly with the development of the computing power system. These advanced CFD techniques are applicable to various issues in the industrial engineering fields and especially contribute to the design of fluid machinery and fluid devices, which have very complicated unsteady flow phenomena and physics. In other words, to aid the rapid development of CFD techniques, the performances of fluid machinery and fluid devices with complicated unsteady flows have been enhanced significantly. In addition, many persistently troublesome problems of fluid machinery and fluid devices such as flow instability, rotor–stator interaction, surging, cavitation, vibration, and noise are solved clearly using advanced CFD techniques.This Special Issue on “CFD-Based Research and Applications for Fluid Machinery and Fluid Devices” aims to present recent novel research trends based on advanced CFD techniques for fluid machinery and fluid devices. The following topics, among others, are included in this issue:- CFD techniques and applications in fluid machinery and fluid devices;- Unsteady and transient phenomena in fluid machinery and fluid devices;- Pumps, fans, compressors, hydraulic turbines, pump turbines, valves, etc.
Technology: general issues --- centrifugal fan --- noise characteristics --- power consumption --- negative pressure --- sound pressure --- mechanical seal --- dynamic characteristics --- extrusion fault --- numerical simulation --- sealing performance --- fluent --- inducer --- step casing --- varying pitch --- cavitating flow and instabilities --- partial similarity principle --- flow similarity --- stability improvement --- multi-condition optimization --- cavitation performance --- artificial neural networks (ANN) --- net positive suction head (NPSH) --- double suction --- cascade --- aerodynamic --- parameterization --- plane cascade design --- incidence angle --- PSO-MVFSA --- optimization --- two-vane pump --- Computational Fluid Dynamics (CFD) --- Reynolds-averaged Navier-Stokes (RANS) --- machine learning --- energy recovery --- pump as turbine --- vortex --- hydraulic losses --- pressure fluctuation --- transient characteristics --- centrifugal pump --- startup period --- solar air heater --- ribs --- Nusselt number --- friction factor --- Reynolds-averaged Navier–Stokes equations --- thrust coefficient --- power coefficient --- figure of merit --- frozen rotor --- UAV --- octorotor SUAV --- aerodynamic performance --- rotor spacing --- hover --- CFD --- vortices distribution --- shape optimization --- Francis turbine --- fixed flow passage --- flow uniformity --- blade outlet angle --- Sirocco fan --- URANS --- volute tongue radius --- internal flow --- noise --- film cooling --- large eddy simulation --- triple holes --- blowing ratio --- adiabatic film-cooling effectiveness --- proper orthogonal decomposition --- axial compressor --- tip clearance --- flow field --- clearance --- flow function --- gas turbine --- leakage --- pressure ratio --- stepped labyrinth seal --- axial-flow pump --- root clearance radius --- computational fluid dynamics --- entropy production --- energy dissipation --- vortex pump --- lateral cavity --- open-design --- spiral flow --- reactor coolant pump (RCP) --- waviness --- leakage rate --- liquid film --- axial fan --- reversible --- jet --- design --- thrust --- energy characteristics --- mixing --- pitched blade turbine --- impeller --- inverse design method --- matching optimization --- diffuser --- small hydropower --- tubular turbine --- fish farm --- performance test --- design factors --- optimum model --- the mixed free-surface-pressurized flow --- characteristic implicit method --- relative roughness --- vent holes --- optimization control --- microchannel heat sink --- wavy microchannel --- groove --- heat transfer performance --- laminar flow --- multi-objective optimization --- LHS --- full factorial methods --- pump-turbine --- dynamic stress --- start-up process --- vortex generator (VG) --- computational fluid dynamics (CFD) --- cell-set model --- RANS --- LES --- multistage centrifugal pump --- double-suction impeller --- twin-volute --- inducer-type guide vane --- trailing edge flap (TEF) --- trailing edge flap with Micro-Tab --- deflection angle of the flap (αF) --- n/a --- Reynolds-averaged Navier-Stokes equations
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The demand for computational fluid dynamics (CFD)-based numerical techniques is increasing rapidly with the development of the computing power system. These advanced CFD techniques are applicable to various issues in the industrial engineering fields and especially contribute to the design of fluid machinery and fluid devices, which have very complicated unsteady flow phenomena and physics. In other words, to aid the rapid development of CFD techniques, the performances of fluid machinery and fluid devices with complicated unsteady flows have been enhanced significantly. In addition, many persistently troublesome problems of fluid machinery and fluid devices such as flow instability, rotor–stator interaction, surging, cavitation, vibration, and noise are solved clearly using advanced CFD techniques.This Special Issue on “CFD-Based Research and Applications for Fluid Machinery and Fluid Devices” aims to present recent novel research trends based on advanced CFD techniques for fluid machinery and fluid devices. The following topics, among others, are included in this issue:- CFD techniques and applications in fluid machinery and fluid devices;- Unsteady and transient phenomena in fluid machinery and fluid devices;- Pumps, fans, compressors, hydraulic turbines, pump turbines, valves, etc.
centrifugal fan --- noise characteristics --- power consumption --- negative pressure --- sound pressure --- mechanical seal --- dynamic characteristics --- extrusion fault --- numerical simulation --- sealing performance --- fluent --- inducer --- step casing --- varying pitch --- cavitating flow and instabilities --- partial similarity principle --- flow similarity --- stability improvement --- multi-condition optimization --- cavitation performance --- artificial neural networks (ANN) --- net positive suction head (NPSH) --- double suction --- cascade --- aerodynamic --- parameterization --- plane cascade design --- incidence angle --- PSO-MVFSA --- optimization --- two-vane pump --- Computational Fluid Dynamics (CFD) --- Reynolds-averaged Navier-Stokes (RANS) --- machine learning --- energy recovery --- pump as turbine --- vortex --- hydraulic losses --- pressure fluctuation --- transient characteristics --- centrifugal pump --- startup period --- solar air heater --- ribs --- Nusselt number --- friction factor --- Reynolds-averaged Navier–Stokes equations --- thrust coefficient --- power coefficient --- figure of merit --- frozen rotor --- UAV --- octorotor SUAV --- aerodynamic performance --- rotor spacing --- hover --- CFD --- vortices distribution --- shape optimization --- Francis turbine --- fixed flow passage --- flow uniformity --- blade outlet angle --- Sirocco fan --- URANS --- volute tongue radius --- internal flow --- noise --- film cooling --- large eddy simulation --- triple holes --- blowing ratio --- adiabatic film-cooling effectiveness --- proper orthogonal decomposition --- axial compressor --- tip clearance --- flow field --- clearance --- flow function --- gas turbine --- leakage --- pressure ratio --- stepped labyrinth seal --- axial-flow pump --- root clearance radius --- computational fluid dynamics --- entropy production --- energy dissipation --- vortex pump --- lateral cavity --- open-design --- spiral flow --- reactor coolant pump (RCP) --- waviness --- leakage rate --- liquid film --- axial fan --- reversible --- jet --- design --- thrust --- energy characteristics --- mixing --- pitched blade turbine --- impeller --- inverse design method --- matching optimization --- diffuser --- small hydropower --- tubular turbine --- fish farm --- performance test --- design factors --- optimum model --- the mixed free-surface-pressurized flow --- characteristic implicit method --- relative roughness --- vent holes --- optimization control --- microchannel heat sink --- wavy microchannel --- groove --- heat transfer performance --- laminar flow --- multi-objective optimization --- LHS --- full factorial methods --- pump-turbine --- dynamic stress --- start-up process --- vortex generator (VG) --- computational fluid dynamics (CFD) --- cell-set model --- RANS --- LES --- multistage centrifugal pump --- double-suction impeller --- twin-volute --- inducer-type guide vane --- trailing edge flap (TEF) --- trailing edge flap with Micro-Tab --- deflection angle of the flap (αF) --- n/a --- Reynolds-averaged Navier-Stokes equations
Choose an application
The demand for computational fluid dynamics (CFD)-based numerical techniques is increasing rapidly with the development of the computing power system. These advanced CFD techniques are applicable to various issues in the industrial engineering fields and especially contribute to the design of fluid machinery and fluid devices, which have very complicated unsteady flow phenomena and physics. In other words, to aid the rapid development of CFD techniques, the performances of fluid machinery and fluid devices with complicated unsteady flows have been enhanced significantly. In addition, many persistently troublesome problems of fluid machinery and fluid devices such as flow instability, rotor–stator interaction, surging, cavitation, vibration, and noise are solved clearly using advanced CFD techniques.This Special Issue on “CFD-Based Research and Applications for Fluid Machinery and Fluid Devices” aims to present recent novel research trends based on advanced CFD techniques for fluid machinery and fluid devices. The following topics, among others, are included in this issue:- CFD techniques and applications in fluid machinery and fluid devices;- Unsteady and transient phenomena in fluid machinery and fluid devices;- Pumps, fans, compressors, hydraulic turbines, pump turbines, valves, etc.
Technology: general issues --- centrifugal fan --- noise characteristics --- power consumption --- negative pressure --- sound pressure --- mechanical seal --- dynamic characteristics --- extrusion fault --- numerical simulation --- sealing performance --- fluent --- inducer --- step casing --- varying pitch --- cavitating flow and instabilities --- partial similarity principle --- flow similarity --- stability improvement --- multi-condition optimization --- cavitation performance --- artificial neural networks (ANN) --- net positive suction head (NPSH) --- double suction --- cascade --- aerodynamic --- parameterization --- plane cascade design --- incidence angle --- PSO-MVFSA --- optimization --- two-vane pump --- Computational Fluid Dynamics (CFD) --- Reynolds-averaged Navier-Stokes (RANS) --- machine learning --- energy recovery --- pump as turbine --- vortex --- hydraulic losses --- pressure fluctuation --- transient characteristics --- centrifugal pump --- startup period --- solar air heater --- ribs --- Nusselt number --- friction factor --- Reynolds-averaged Navier-Stokes equations --- thrust coefficient --- power coefficient --- figure of merit --- frozen rotor --- UAV --- octorotor SUAV --- aerodynamic performance --- rotor spacing --- hover --- CFD --- vortices distribution --- shape optimization --- Francis turbine --- fixed flow passage --- flow uniformity --- blade outlet angle --- Sirocco fan --- URANS --- volute tongue radius --- internal flow --- noise --- film cooling --- large eddy simulation --- triple holes --- blowing ratio --- adiabatic film-cooling effectiveness --- proper orthogonal decomposition --- axial compressor --- tip clearance --- flow field --- clearance --- flow function --- gas turbine --- leakage --- pressure ratio --- stepped labyrinth seal --- axial-flow pump --- root clearance radius --- computational fluid dynamics --- entropy production --- energy dissipation --- vortex pump --- lateral cavity --- open-design --- spiral flow --- reactor coolant pump (RCP) --- waviness --- leakage rate --- liquid film --- axial fan --- reversible --- jet --- design --- thrust --- energy characteristics --- mixing --- pitched blade turbine --- impeller --- inverse design method --- matching optimization --- diffuser --- small hydropower --- tubular turbine --- fish farm --- performance test --- design factors --- optimum model --- the mixed free-surface-pressurized flow --- characteristic implicit method --- relative roughness --- vent holes --- optimization control --- microchannel heat sink --- wavy microchannel --- groove --- heat transfer performance --- laminar flow --- multi-objective optimization --- LHS --- full factorial methods --- pump-turbine --- dynamic stress --- start-up process --- vortex generator (VG) --- computational fluid dynamics (CFD) --- cell-set model --- RANS --- LES --- multistage centrifugal pump --- double-suction impeller --- twin-volute --- inducer-type guide vane --- trailing edge flap (TEF) --- trailing edge flap with Micro-Tab --- deflection angle of the flap (αF)
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