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Bioenergy is renewable energy obtained from biomass—any organic material that has stored sunlight in the form of chemical energy. Biogas is among the biofuels that can be obtained from biomass resources, including biodegradable wastes like manure, sewage sludge, the organic fraction of municipal solid wastes, slaughterhouse waste, crop residues, and more recently lignocellulosic biomass and algae. Within the framework of the circular economy, biogas production from biodegradable waste is particularly interesting, as it helps to save resources while reducing environmental pollution. Besides, lignocellulosic biomass and algae do not compete for arable land with food crops (in contrast with energy crops). Hence, they constitute a novel source of biomass for bioenergy.Biogas plants may involve both high-tech and low-tech digesters, ranging from industrial-scale plants to small-scale farms and even households. They pose an alternative for decentralized bioenergy production in rural areas. Indeed, the biogas produced can be used in heaters, engines, combined heat and power units, and even cookstoves at the household level. Notwithstanding, digesters are considered to be a sustainable technology that can improve the living conditions of farmers by covering energy needs and boosting nutrient recycling. Thanks to their technical, socio-economic, and environmental benefits, rural biogas plants have been spreading around the world since the 1970s, with a large focus on farm-based systems and households. However, several challenges still need to be overcome in order to improve the technology and financial viability.

Technology: general issues --- Environmental science, engineering & technology --- Mixing --- optimised --- household digester --- Chinese dome digester (CDD) --- self-agitation --- blank --- mixing --- Chinese dome digester --- impeller mixed digester --- unstirred digester --- hydraulically mixed --- total solids (TS) concentration --- plug-flow reactor --- anaerobic digestion --- animal manures --- biogas --- unconfined gas injection mixing --- mixing recirculation --- biomethane potential tests --- Italy --- manure --- energy crops --- agriculture residues --- digestate --- biochemical methane potential --- micro-aeration --- iron --- bioenergy --- H2S scrubber --- methane --- fermentation --- dairy --- poultry --- absorbent --- ammonia --- inhibition --- acclimatization --- trace elements --- anaerobic treatment --- energy assessment --- rural sanitation --- sludge --- wastewater --- agricultural runoff --- biomethane --- biorefinery --- microalgae --- photobioreactor --- pretreatment --- low cost digester --- psychrophilic anaerobic digestion --- thermal behavior --- anaerobic co-digestion --- slaughterhouse wastewater --- synergistic effects --- kinetic modeling --- biodegradability

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Bioenergy is renewable energy obtained from biomass—any organic material that has stored sunlight in the form of chemical energy. Biogas is among the biofuels that can be obtained from biomass resources, including biodegradable wastes like manure, sewage sludge, the organic fraction of municipal solid wastes, slaughterhouse waste, crop residues, and more recently lignocellulosic biomass and algae. Within the framework of the circular economy, biogas production from biodegradable waste is particularly interesting, as it helps to save resources while reducing environmental pollution. Besides, lignocellulosic biomass and algae do not compete for arable land with food crops (in contrast with energy crops). Hence, they constitute a novel source of biomass for bioenergy.Biogas plants may involve both high-tech and low-tech digesters, ranging from industrial-scale plants to small-scale farms and even households. They pose an alternative for decentralized bioenergy production in rural areas. Indeed, the biogas produced can be used in heaters, engines, combined heat and power units, and even cookstoves at the household level. Notwithstanding, digesters are considered to be a sustainable technology that can improve the living conditions of farmers by covering energy needs and boosting nutrient recycling. Thanks to their technical, socio-economic, and environmental benefits, rural biogas plants have been spreading around the world since the 1970s, with a large focus on farm-based systems and households. However, several challenges still need to be overcome in order to improve the technology and financial viability.

Technology: general issues --- Environmental science, engineering & technology --- Mixing --- optimised --- household digester --- Chinese dome digester (CDD) --- self-agitation --- blank --- mixing --- Chinese dome digester --- impeller mixed digester --- unstirred digester --- hydraulically mixed --- total solids (TS) concentration --- plug-flow reactor --- anaerobic digestion --- animal manures --- biogas --- unconfined gas injection mixing --- mixing recirculation --- biomethane potential tests --- Italy --- manure --- energy crops --- agriculture residues --- digestate --- biochemical methane potential --- micro-aeration --- iron --- bioenergy --- H2S scrubber --- methane --- fermentation --- dairy --- poultry --- absorbent --- ammonia --- inhibition --- acclimatization --- trace elements --- anaerobic treatment --- energy assessment --- rural sanitation --- sludge --- wastewater --- agricultural runoff --- biomethane --- biorefinery --- microalgae --- photobioreactor --- pretreatment --- low cost digester --- psychrophilic anaerobic digestion --- thermal behavior --- anaerobic co-digestion --- slaughterhouse wastewater --- synergistic effects --- kinetic modeling --- biodegradability

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Computational fluid dynamics (CFD), which uses numerical analysis to predict and model complex flow behaviors and transport processes, has become a mainstream tool in engineering process research and development. Complex chemical processes often involve coupling between dynamics at vastly different length and time scales, as well as coupling of different physical models. The multiscale and multiphysics nature of those problems calls for delicate modeling approaches. This book showcases recent contributions in this field, from the development of modeling methodology to its application in supporting the design, development, and optimization of engineering processes.

pumped hydroelectric storage --- inlet/outlet --- surrogate model selection --- multi-objective optimization process --- thermal environment --- numerical simulations --- ventilation cooling --- duct position --- the heat dissipation of LHD --- auxiliary ventilation --- triboelectric separation --- particle size distribution --- particle charge --- binary mixture --- in situ particle size measurement --- charge estimation --- computational fluid dynamics --- membrane module --- gas separation --- concentration polarization --- coal mining --- radon concentration --- ventilation --- occupational exposure assessment --- gasification --- fluidized bed --- CFD --- hydrodynamics --- multiphase flow --- surface tension modelling --- VOF --- rising bubbles --- capillary rise --- high pressure bubble column --- the critical bubble diameter --- the gas holdup --- the large bubbles --- the small bubbles --- Stirred fermenter --- dual-impeller --- Segment impeller --- Optimization --- rotating packed bed --- natural gas desulfurization --- droplet characteristic --- Eulerian–Lagrangian approach --- heat transport --- optimized design --- dynamic numerical simulation --- evaporative cooling system --- water recycling --- temperature --- humidity --- n/a --- gas–solid --- cyclone separator --- elevated temperature process --- pneumatic conveying --- large coal particles --- Euler–Lagrange approach --- DPM --- pressure drop --- swirling burner --- combustion characteristics --- industrial pulverized coal furnace --- scale-up --- scale-down --- Saccharomyces cerevisiae --- mechanistic kinetic model --- bioreactor --- concentration gradients --- digital twin --- bioprocess engineering --- Eulerian-Lagrangian approach --- gas-solid --- Euler-Lagrange approach

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There is overwhelming evidence, from laboratory experiments, observations, and computational studies, that coherent structures can cause intermittent transport, dramatically enhancing transport. A proper description of this intermittent phenomenon, however, is extremely difficult, requiring a new non-perturbative theory, such as statistical description. Furthermore, multi-scale interactions are responsible for inevitably complex dynamics in strongly non-equilibrium systems, a proper understanding of which remains a main challenge in classical physics. As a remarkable consequence of multi-scale interaction, a quasi-equilibrium state (the so-called self-organisation) can however be maintained. This special issue aims to present different theories of statistical mechanics to understand this challenging multiscale problem in turbulence. The 14 contributions to this Special issue focus on the various aspects of intermittency, coherent structures, self-organisation, bifurcation and nonlocality. Given the ubiquity of turbulence, the contributions cover a broad range of systems covering laboratory fluids (channel flow, the Von Kármán flow), plasmas (magnetic fusion), laser cavity, wind turbine, air flow around a high-speed train, solar wind and industrial application.

non-locality --- hybrid (U)RANS-LES --- channel flow --- thermodynamics --- Lévy noise --- non-local theory --- low speed streaks --- drop breakage --- pipe flow boundary layer --- bifurcation --- Langevin equation --- attached and separated flows --- anomalous diffusion --- kinetic theory --- stochastic processes --- self-organisation --- spatiotemporal chaos --- chaos --- bifurcations --- turbulent flow --- Lyapunov theory --- Rushton turbine --- turbulence --- intermittency --- information length --- denoise --- microcavity laser --- free vortex wake --- IDDES methodology --- local intermittency --- control strategy --- population balance equation --- Tsallis entropy --- coherent structures --- Fokker-Planck equation --- energy cascade --- fluid dynamics --- high efficiency impeller --- fractals --- large eddy simulation --- shear flows --- heat transport --- multifractal --- drop coalescence --- continuous wavelet transform --- T-junction --- scaling properties --- floating wind turbine --- scaling --- fractional Fokker–Plank equation --- magnetic confinement fusion --- multi-scale problem --- coherent structure --- solar wind --- trailing-edge flap --- turbulent transition --- turbulent boundary layer --- complex dynamics --- statistical mechanics

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The inverse dynamics problem was developed in order to provide researchers with the state of the art in inverse problems for dynamic and vibrational systems. Contrasted with a forward problem, which solves for the system output in a straightforward manner, an inverse problem searches for the system input through a procedure contaminated with errors and uncertainties. An inverse problem, with a focus on structural dynamics, determines the changes made to the system and estimates the inputs, including forces and moments, to the system, utilizing measurements of structural vibration responses only. With its complex mathematical structure and need for more reliable input estimations, the inverse problem is still a fundamental subject of research among mathematicians and engineering scientists. This book contains 11 articles that touch upon various aspects of inverse dynamic problems.

Technology: general issues --- regenerative shock absorbers --- energy harvesting --- active control of automobile suspension systems --- railroad tracks --- track modulus --- computer simulation --- artificial neural networks --- Fiber-reinforced Foamed Urethane (FFU) --- free vibration --- impact hammer excitation technique --- high-rate dynamics --- structural health monitoring --- time-frequency analysis --- synchrosqueezing transform (SST) --- jerk --- acceleration onset --- higher-order derivatives of acceleration --- jounce --- acceleration-dot --- sports surfacing --- sand surface --- dynamic behaviour --- impact tests --- accelerometry --- greyhound racing --- equine racing --- shake table control --- vibration testing --- system identification --- inverse dynamics --- feedback linearization --- servohydraulics --- inverse problems --- quantum graphs --- delta-prime vertex conditions --- Bayesian inference --- uncertainty quantification --- dynamical systems --- inverse problem --- machine learning --- Gaussian process --- polynomial chaos --- impact force identification --- tower structure --- impact localization --- force history --- inverse algorithm --- rotor dynamic --- bearing --- centrifugal pump --- impeller diameter --- Lagrangian equations --- n/a