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The main focus of this Special Issue of Water is the state-of-the-art and recent research on turbulence and flow–sediment interactions in open-channel flows. Our knowledge of river hydraulics is deepening, thanks to both laboratory/field experiments related to the characteristics of turbulence and their link to erosion, transport, deposition, and local scouring phenomena. Collaboration among engineers, physicists, and other experts is increasing and furnishing new inter-/multidisciplinary perspectives to the research of river hydraulics and fluid mechanics. At the same time, the development of both sophisticated laboratory instrumentation and computing skills is giving rise to excellent experimental–numerical comparative studies. Thus, this Special Issue, with ten papers by researchers from many institutions around the world, aims at offering a modern panoramic view on all the above aspects to the vast audience of river researchers.

wavelet coherency --- Taylor’s frozen turbulence hypothesis --- scale --- hairpin vortex packet --- open channel flow --- bridge pier --- horseshoe vortex --- Physical hydraulic modeling --- quadrant analysis --- Scour and Velocity field --- hydraulics --- turbulent flow --- wall-wake flow --- dunal bedform --- horizontal cylinder --- turbulence structures --- scour --- velocity field --- turbulence --- equilibrium scour depth --- new scaling of scour depth --- ejections --- turbulence interactions --- gravel beds --- sediment transport --- surface and subsurface flows --- river hydrodynamics --- ADCP --- bedforms morphology --- river confluence --- Amazon River --- Yeongsan estuary --- freshwater discharge --- two-layer circulation --- Reynolds stress --- bottom turbulence --- suspended sediment concentration --- sediment kinematics --- entrainment --- disentrainment --- anisotropy --- rigid vegetation --- sediments --- local scouring --- erosion --- transport --- deposition --- open-channel flows --- laboratory experiments

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In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.

Research & information: general --- short-term forecasts --- direct normal irradiance --- concentrating solar power --- system advisor model --- operational strategies --- central solar receiver --- solar irradiance forecasts --- numerical weather prediction model --- different horizontal resolution --- forecast errors --- validation --- ramp rates --- renewable energy forecasting --- solar radiation --- shark algorithm --- particle swarm optimization --- ANFIS --- nowcasting --- Kalman-Bayesian filter --- WRF --- high-resolution --- complex terrain --- wind --- solar irradiation --- photovoltaic solar energy --- deep learning --- prediction --- biofuel --- risk analysis --- sustainable development --- renewable energy --- biomass --- biotechnology --- anthropogenic waste processing --- energy resource assessment --- tidal-stream energy --- thrust force coefficient --- momentum sink --- unbounded flow --- open channel flows --- shock-capturing capability --- global horizontal irradiance (GHI) --- forecasting --- clearness coefficient --- Markov chains --- weather research and forecasting model --- solar resource --- heat supply of industrial processes --- solar collectors --- economic efficiency --- cross border trading --- Granger causality --- electricity trading --- spot prices --- deformable models --- electric energy demand --- functional statistics --- Kalman filtering --- shape-invariant model --- developing countries --- concentrated solar --- thermochemical --- energy --- renewable energy sources --- climate policy --- forecast --- the European Green Deal

Choose an application

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

In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.

Research & information: general --- short-term forecasts --- direct normal irradiance --- concentrating solar power --- system advisor model --- operational strategies --- central solar receiver --- solar irradiance forecasts --- numerical weather prediction model --- different horizontal resolution --- forecast errors --- validation --- ramp rates --- renewable energy forecasting --- solar radiation --- shark algorithm --- particle swarm optimization --- ANFIS --- nowcasting --- Kalman-Bayesian filter --- WRF --- high-resolution --- complex terrain --- wind --- solar irradiation --- photovoltaic solar energy --- deep learning --- prediction --- biofuel --- risk analysis --- sustainable development --- renewable energy --- biomass --- biotechnology --- anthropogenic waste processing --- energy resource assessment --- tidal-stream energy --- thrust force coefficient --- momentum sink --- unbounded flow --- open channel flows --- shock-capturing capability --- global horizontal irradiance (GHI) --- forecasting --- clearness coefficient --- Markov chains --- weather research and forecasting model --- solar resource --- heat supply of industrial processes --- solar collectors --- economic efficiency --- cross border trading --- Granger causality --- electricity trading --- spot prices --- deformable models --- electric energy demand --- functional statistics --- Kalman filtering --- shape-invariant model --- developing countries --- concentrated solar --- thermochemical --- energy --- renewable energy sources --- climate policy --- forecast --- the European Green Deal