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The combination of global warming and urban sprawl is the origin of the most hazardous climate change effect detected at urban level: Urban Heat Island, representing the urban overheating respect to the countryside surrounding the city. This book includes 18 papers representing the state of the art of detection, assessment mitigation and adaption to urban overheating. Advanced methods, strategies and technologies are here analyzed including relevant issues as: the role of urban materials and fabrics on urban climate and their potential mitigation, the impact of greenery and vegetation to reduce urban temperatures and improve the thermal comfort, the role the urban geometry in the air temperature rise, the use of satellite and ground data to assess and quantify the urban overheating and develop mitigation solutions, calculation methods and application to predict and assess mitigation scenarios. The outcomes of the book are thus relevant for a wide multidisciplinary audience, including: environmental scientists and engineers, architect and urban planners, policy makers and students.
emissivity --- mobile temperature observations --- urban heat island --- urban vegetation --- urban overheating --- spectral analysis --- Beirut --- urban heat island index --- land surface temperature --- ENVI-met --- air quality --- albedo --- climatic perception --- overheating --- urbanization --- road surface --- “cold spots” --- Weather Research and Forecasting model (WRF) --- urban remote sensing --- local climate zone --- cooling technologies --- Weather Research and Forecasting model --- cool surfaces --- outdoor thermal comfort --- energy savings --- air temperature --- measurement --- urbanized WRF --- mitigation measures --- Euramet --- heat health --- surface cool island effect --- urban-climate archipelago --- sky view factor --- urban climate archipelago --- open science --- cool roofs --- urban energy balance --- road lighting --- urban climatology --- material characterization --- urban climate --- thermal comfort --- air and surface temperature measurements --- cool pavements --- multi-objective optimization --- empirical line method --- calculation --- urban cooling --- multifractal analysis --- urban heat mitigation --- genetic algorithm --- heat stress --- “hot spots” --- subtropical climate --- EMPIR 16NRM02 --- building energy performance --- multiple linear regression --- built-up area --- thermal emittance --- urban morphology --- cost-optimal analysis --- building retrofit --- sustainability --- mitigation strategies --- luminance coefficient --- office buildings --- GIS --- structure functions analysis --- solar reflectance --- park cool island --- solar reflectance index --- urban open space --- building scale --- meteorological modeling --- shading --- surface albedo --- summer heat stress --- cool materials --- land cover fraction --- micro-climate simulations --- energy simulation --- urban microclimate --- urban development --- Physiologically Equivalent Temperature --- cool facades --- green area --- ageing --- MODIS downscaling --- spectral reflectance --- fine-resolution meteorological modeling --- urban areas --- morphological indicator --- lifecycle analysis --- non-constructible parcels --- WRF-Chem
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The combination of global warming and urban sprawl is the origin of the most hazardous climate change effect detected at urban level: Urban Heat Island, representing the urban overheating respect to the countryside surrounding the city. This book includes 18 papers representing the state of the art of detection, assessment mitigation and adaption to urban overheating. Advanced methods, strategies and technologies are here analyzed including relevant issues as: the role of urban materials and fabrics on urban climate and their potential mitigation, the impact of greenery and vegetation to reduce urban temperatures and improve the thermal comfort, the role the urban geometry in the air temperature rise, the use of satellite and ground data to assess and quantify the urban overheating and develop mitigation solutions, calculation methods and application to predict and assess mitigation scenarios. The outcomes of the book are thus relevant for a wide multidisciplinary audience, including: environmental scientists and engineers, architect and urban planners, policy makers and students.
emissivity --- mobile temperature observations --- urban heat island --- urban vegetation --- urban overheating --- spectral analysis --- Beirut --- urban heat island index --- land surface temperature --- ENVI-met --- air quality --- albedo --- climatic perception --- overheating --- urbanization --- road surface --- “cold spots” --- Weather Research and Forecasting model (WRF) --- urban remote sensing --- local climate zone --- cooling technologies --- Weather Research and Forecasting model --- cool surfaces --- outdoor thermal comfort --- energy savings --- air temperature --- measurement --- urbanized WRF --- mitigation measures --- Euramet --- heat health --- surface cool island effect --- urban-climate archipelago --- sky view factor --- urban climate archipelago --- open science --- cool roofs --- urban energy balance --- road lighting --- urban climatology --- material characterization --- urban climate --- thermal comfort --- air and surface temperature measurements --- cool pavements --- multi-objective optimization --- empirical line method --- calculation --- urban cooling --- multifractal analysis --- urban heat mitigation --- genetic algorithm --- heat stress --- “hot spots” --- subtropical climate --- EMPIR 16NRM02 --- building energy performance --- multiple linear regression --- built-up area --- thermal emittance --- urban morphology --- cost-optimal analysis --- building retrofit --- sustainability --- mitigation strategies --- luminance coefficient --- office buildings --- GIS --- structure functions analysis --- solar reflectance --- park cool island --- solar reflectance index --- urban open space --- building scale --- meteorological modeling --- shading --- surface albedo --- summer heat stress --- cool materials --- land cover fraction --- micro-climate simulations --- energy simulation --- urban microclimate --- urban development --- Physiologically Equivalent Temperature --- cool facades --- green area --- ageing --- MODIS downscaling --- spectral reflectance --- fine-resolution meteorological modeling --- urban areas --- morphological indicator --- lifecycle analysis --- non-constructible parcels --- WRF-Chem
Choose an application
The combination of global warming and urban sprawl is the origin of the most hazardous climate change effect detected at urban level: Urban Heat Island, representing the urban overheating respect to the countryside surrounding the city. This book includes 18 papers representing the state of the art of detection, assessment mitigation and adaption to urban overheating. Advanced methods, strategies and technologies are here analyzed including relevant issues as: the role of urban materials and fabrics on urban climate and their potential mitigation, the impact of greenery and vegetation to reduce urban temperatures and improve the thermal comfort, the role the urban geometry in the air temperature rise, the use of satellite and ground data to assess and quantify the urban overheating and develop mitigation solutions, calculation methods and application to predict and assess mitigation scenarios. The outcomes of the book are thus relevant for a wide multidisciplinary audience, including: environmental scientists and engineers, architect and urban planners, policy makers and students.
emissivity --- mobile temperature observations --- urban heat island --- urban vegetation --- urban overheating --- spectral analysis --- Beirut --- urban heat island index --- land surface temperature --- ENVI-met --- air quality --- albedo --- climatic perception --- overheating --- urbanization --- road surface --- “cold spots” --- Weather Research and Forecasting model (WRF) --- urban remote sensing --- local climate zone --- cooling technologies --- Weather Research and Forecasting model --- cool surfaces --- outdoor thermal comfort --- energy savings --- air temperature --- measurement --- urbanized WRF --- mitigation measures --- Euramet --- heat health --- surface cool island effect --- urban-climate archipelago --- sky view factor --- urban climate archipelago --- open science --- cool roofs --- urban energy balance --- road lighting --- urban climatology --- material characterization --- urban climate --- thermal comfort --- air and surface temperature measurements --- cool pavements --- multi-objective optimization --- empirical line method --- calculation --- urban cooling --- multifractal analysis --- urban heat mitigation --- genetic algorithm --- heat stress --- “hot spots” --- subtropical climate --- EMPIR 16NRM02 --- building energy performance --- multiple linear regression --- built-up area --- thermal emittance --- urban morphology --- cost-optimal analysis --- building retrofit --- sustainability --- mitigation strategies --- luminance coefficient --- office buildings --- GIS --- structure functions analysis --- solar reflectance --- park cool island --- solar reflectance index --- urban open space --- building scale --- meteorological modeling --- shading --- surface albedo --- summer heat stress --- cool materials --- land cover fraction --- micro-climate simulations --- energy simulation --- urban microclimate --- urban development --- Physiologically Equivalent Temperature --- cool facades --- green area --- ageing --- MODIS downscaling --- spectral reflectance --- fine-resolution meteorological modeling --- urban areas --- morphological indicator --- lifecycle analysis --- non-constructible parcels --- WRF-Chem
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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
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
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.
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
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