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This Special Issue is a compilation of the recent advances in thermal fluid engineering related to supercritical CO2 power cycle development. The supercritical CO2 power cycle is considered to be one of the most promising power cycles for distributed power generation, waste heat recovery, and a topping cycle of coal, nuclear, and solar thermal heat sources. While the cycle benefits from dramatic changes in CO2 thermodynamic properties near the critical point, design, and analysis of the power cycle and its major components also face certain challenges due to the strong real gas effect and extreme operating conditions. This Special Issue will present a series of recent research results in heat transfer and fluid flow analyses and experimentation so that the accumulated knowledge can accelerate the development of this exciting future power cycle technology.

History of engineering & technology --- emergency diesel generator --- supercritical carbon dioxide cycle --- waste heat recovery system --- bottoming cycle --- re-compression Brayton cycle --- carbon dioxide --- supercritical --- thermodynamic --- exergy --- cycle simulation --- design point analysis --- radial-inflow turbine --- supercritical carbon dioxide --- air --- rotor solidity --- aerodynamic performance --- centrifugal compressor --- aerodynamic optimization design --- numerical simulation --- radial turbine --- utility-scale --- turbomachinery design --- NET Power --- supercritical CO2 --- heat exchanger --- flow analysis --- thermal stress analysis --- LCoE --- CSP --- concentrated-solar power --- axial turbine design --- micro-scale turbomachinery design --- emergency diesel generator --- supercritical carbon dioxide cycle --- waste heat recovery system --- bottoming cycle --- re-compression Brayton cycle --- carbon dioxide --- supercritical --- thermodynamic --- exergy --- cycle simulation --- design point analysis --- radial-inflow turbine --- supercritical carbon dioxide --- air --- rotor solidity --- aerodynamic performance --- centrifugal compressor --- aerodynamic optimization design --- numerical simulation --- radial turbine --- utility-scale --- turbomachinery design --- NET Power --- supercritical CO2 --- heat exchanger --- flow analysis --- thermal stress analysis --- LCoE --- CSP --- concentrated-solar power --- axial turbine design --- micro-scale turbomachinery design

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• Reference Manager
• EndNote
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This Special Issue is a compilation of the recent advances in thermal fluid engineering related to supercritical CO2 power cycle development. The supercritical CO2 power cycle is considered to be one of the most promising power cycles for distributed power generation, waste heat recovery, and a topping cycle of coal, nuclear, and solar thermal heat sources. While the cycle benefits from dramatic changes in CO2 thermodynamic properties near the critical point, design, and analysis of the power cycle and its major components also face certain challenges due to the strong real gas effect and extreme operating conditions. This Special Issue will present a series of recent research results in heat transfer and fluid flow analyses and experimentation so that the accumulated knowledge can accelerate the development of this exciting future power cycle technology.

emergency diesel generator --- supercritical carbon dioxide cycle --- waste heat recovery system --- bottoming cycle --- re-compression Brayton cycle --- carbon dioxide --- supercritical --- thermodynamic --- exergy --- cycle simulation --- design point analysis --- radial-inflow turbine --- supercritical carbon dioxide --- air --- rotor solidity --- aerodynamic performance --- centrifugal compressor --- aerodynamic optimization design --- numerical simulation --- radial turbine --- utility-scale --- turbomachinery design --- NET Power --- supercritical CO2 --- heat exchanger --- flow analysis --- thermal stress analysis --- LCoE --- CSP --- concentrated-solar power --- axial turbine design --- micro-scale turbomachinery design --- n/a

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The ongoing digitalization of the energy sector, which will make a large amount of data available, should not be viewed as a passive ICT application for energy technology or a threat to thermodynamics and fluid dynamics, in the light of the competition triggered by data mining and machine learning techniques. These new technologies must be posed on solid bases for the representation of energy systems and fluid machinery. Therefore, mathematical modelling is still relevant and its importance cannot be underestimated. The aim of this Special Issue was to collect contributions about mathematical modelling of energy systems and fluid machinery in order to build and consolidate the base of this knowledge.

centrifugal pump --- double hidden layer --- Levenberg–Marquardt algorithm --- performance prediction --- thermal energy storage --- stratification --- dynamic simulation --- heating --- double-channel sewage pump --- critical wall roughness --- numerical calculation --- external characteristics --- axial-flow pump --- impeller --- approximation model --- optimization design --- multi-disciplinary --- blade slot --- orthogonal test --- numerical simulation --- Francis turbine --- anti-cavity fins --- draft tube --- vortex rope --- low flow rates --- internal flow characteristics --- unsteady pressure --- energy recovery --- turboexpander --- throttling valves --- CFD --- modelling techniques --- Kaplan turbine --- draft tube optimization --- CFD analysis --- DOE --- response surface --- single-channel pump --- CFD-DEM coupling method --- particle features and behaviors --- solid-liquid two-phase flows --- computational fluid dynamics (CFD) --- artificial neural network (ANN) --- subcooled boiling flows --- uncertainty quantification (UQ) --- Monte Carlo dropout --- deep ensemble --- deep neural network (DNN) --- intake structures --- physical hydraulic model --- free surface flow --- free surface vortices --- vertical pump --- design considerations --- magnetocaloric effect --- coefficient of performance --- refrigeration --- capacity --- mathematical modelling --- energy systems

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This book details the advanced actuators for IEVs and the control algorithm design. In the actuator design, the configuration four-wheel independent drive/steering electric vehicles is reviewed. An in-wheel two-speed AMT with selectable one-way clutch is designed for IEV. Considering uncertainties, the optimization design for the planetary gear train of IEV is conducted. An electric power steering system is designed for IEV. In addition, advanced control algorithms are proposed in favour of active safety improvement. A supervision mechanism is applied to the segment drift control of autonomous driving. Double super-resolution network is used to design the intelligent driving algorithm. Torque distribution control technology and four-wheel steering technology are utilized for path tracking and adaptive cruise control. To advance the control accuracy, advanced estimation algorithms are studied in this book. The tyre-road peak friction coefficient under full slip rate range is identified based on the normalized tyre model. The pressure of the electro-hydraulic brake system is estimated based on signal fusion. Besides, a multi-semantic driver behaviour recognition model of autonomous vehicles is designed using confidence fusion mechanism. Moreover, a mono-vision based lateral localization system of low-cost autonomous vehicles is proposed with deep learning curb detection. To sum up, the discussed advanced actuators, control and estimation algorithms are beneficial to the active safety improvement of IEVs.

Technology: general issues --- History of engineering & technology --- Mechanical engineering & materials --- curb detection --- intelligent vehicles --- autonomous driving --- electro-hydraulic brake system --- master cylinder pressure estimation --- vehicle longitudinal dynamics --- brake linings’ coefficient of friction --- ACC --- safety evaluation --- human-like evaluation --- naturalistic driving study --- driving behavior characteristic --- electric vehicles --- independent drive --- direct yaw control --- torque distribution --- ultra-wideband --- relative localization --- enhanced precision --- clock self-correction --- homotopy --- Levenberg–Marquardt --- electric power steering --- steering actuator --- driverless racing vehicles --- control --- autonomous vehicles --- lane-changing --- decision-making --- path planning --- four-wheel independent drive --- four-wheel independent steering --- path tracking --- handling stability --- active safety control --- electric vehicle --- intelligent sanitation vehicle --- trash can-handling robot --- truss structure --- multi-objective parameter optimization --- topology optimization --- discrete optimization --- multiple load cases --- intelligent electric vehicles --- driver behavior recognition --- multi-semantic description --- confidence fusion --- drift parking --- open-loop control --- supervision mechanism --- two-speed AMT --- in-wheel-drive --- shifting process --- selectable one-way clutch --- five-degree-of-freedom vehicle model --- pressure–position model --- recursive least square --- advanced driver assistant systems --- adaptive cruise control --- direct yaw moment control --- extension control --- model predictive control --- optimization design --- vehicle structure design --- uncertainty --- deceleration device --- tyre-road peak friction coefficient estimation --- tyre model --- normalization --- incentive sensitivity --- four-wheel steering --- semantic segmentation --- high-resolution atlas training --- super-resolution --- curb detection --- intelligent vehicles --- autonomous driving --- electro-hydraulic brake system --- master cylinder pressure estimation --- vehicle longitudinal dynamics --- brake linings’ coefficient of friction --- ACC --- safety evaluation --- human-like evaluation --- naturalistic driving study --- driving behavior characteristic --- electric vehicles --- independent drive --- direct yaw control --- torque distribution --- ultra-wideband --- relative localization --- enhanced precision --- clock self-correction --- homotopy --- Levenberg–Marquardt --- electric power steering --- steering actuator --- driverless racing vehicles --- control --- autonomous vehicles --- lane-changing --- decision-making --- path planning --- four-wheel independent drive --- four-wheel independent steering --- path tracking --- handling stability --- active safety control --- electric vehicle --- intelligent sanitation vehicle --- trash can-handling robot --- truss structure --- multi-objective parameter optimization --- topology optimization --- discrete optimization --- multiple load cases --- intelligent electric vehicles --- driver behavior recognition --- multi-semantic description --- confidence fusion --- drift parking --- open-loop control --- supervision mechanism --- two-speed AMT --- in-wheel-drive --- shifting process --- selectable one-way clutch --- five-degree-of-freedom vehicle model --- pressure–position model --- recursive least square --- advanced driver assistant systems --- adaptive cruise control --- direct yaw moment control --- extension control --- model predictive control --- optimization design --- vehicle structure design --- uncertainty --- deceleration device --- tyre-road peak friction coefficient estimation --- tyre model --- normalization --- incentive sensitivity --- four-wheel steering --- semantic segmentation --- high-resolution atlas training --- super-resolution

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book details the advanced actuators for IEVs and the control algorithm design. In the actuator design, the configuration four-wheel independent drive/steering electric vehicles is reviewed. An in-wheel two-speed AMT with selectable one-way clutch is designed for IEV. Considering uncertainties, the optimization design for the planetary gear train of IEV is conducted. An electric power steering system is designed for IEV. In addition, advanced control algorithms are proposed in favour of active safety improvement. A supervision mechanism is applied to the segment drift control of autonomous driving. Double super-resolution network is used to design the intelligent driving algorithm. Torque distribution control technology and four-wheel steering technology are utilized for path tracking and adaptive cruise control. To advance the control accuracy, advanced estimation algorithms are studied in this book. The tyre-road peak friction coefficient under full slip rate range is identified based on the normalized tyre model. The pressure of the electro-hydraulic brake system is estimated based on signal fusion. Besides, a multi-semantic driver behaviour recognition model of autonomous vehicles is designed using confidence fusion mechanism. Moreover, a mono-vision based lateral localization system of low-cost autonomous vehicles is proposed with deep learning curb detection. To sum up, the discussed advanced actuators, control and estimation algorithms are beneficial to the active safety improvement of IEVs.

curb detection --- intelligent vehicles --- autonomous driving --- electro-hydraulic brake system --- master cylinder pressure estimation --- vehicle longitudinal dynamics --- brake linings’ coefficient of friction --- ACC --- safety evaluation --- human-like evaluation --- naturalistic driving study --- driving behavior characteristic --- electric vehicles --- independent drive --- direct yaw control --- torque distribution --- ultra-wideband --- relative localization --- enhanced precision --- clock self-correction --- homotopy --- Levenberg–Marquardt --- electric power steering --- steering actuator --- driverless racing vehicles --- control --- autonomous vehicles --- lane-changing --- decision-making --- path planning --- four-wheel independent drive --- four-wheel independent steering --- path tracking --- handling stability --- active safety control --- electric vehicle --- intelligent sanitation vehicle --- trash can-handling robot --- truss structure --- multi-objective parameter optimization --- topology optimization --- discrete optimization --- multiple load cases --- intelligent electric vehicles --- driver behavior recognition --- multi-semantic description --- confidence fusion --- drift parking --- open-loop control --- supervision mechanism --- two-speed AMT --- in-wheel-drive --- shifting process --- selectable one-way clutch --- five-degree-of-freedom vehicle model --- pressure–position model --- recursive least square --- advanced driver assistant systems --- adaptive cruise control --- direct yaw moment control --- extension control --- model predictive control --- optimization design --- vehicle structure design --- uncertainty --- deceleration device --- tyre-road peak friction coefficient estimation --- tyre model --- normalization --- incentive sensitivity --- four-wheel steering --- semantic segmentation --- high-resolution atlas training --- super-resolution