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Die Arbeit präsentiert zwei neuartige deflektometrische Verfahren, die jeweils unter Einbeziehung von Zusatzinformation eine eindeutige Lösung des mathematisch schlecht gestellten Rekonstruktionsproblems erlauben. Das erste der beiden stützt sich auf das bei vielen praxisrelevanten Bauteilen auftretende diffuse Reflexionsverhalten. Außerdem wird ein allgemeines Modell des spekularen optischen Flusses hergeleitet, der entsteht, wenn die gesuchte Fläche relativ zum Messaufbau bewegt wird.

optischer Fluss --- spiegelnde Oberflächen --- 3D-Rekonstruktion --- Deflektometrie --- Shape-from-Shading

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This is the first book to describe the development of and state of the art in solar shading devices in buildings, detailing all methods of evaluating shading systems according to thermal and visual comfort. The issue of energy balance in buildings is gaining importance as conventional energy sources dwindle and become more expensive. As such, environmental concerns should be considered in overall design decisions. The book discusses the role sun control “machines” play in controlling solar and thermal radiation. It examines their geometry, their position in relation to glazing and their operation (in the cases of movable systems) to control the heat and light entering a building, as well as how their material and color influence their performance. This book appeals to architects and designers who are interested in efficient energy facade design.

Optoelectronics. --- Office buildings --- Shading. --- Sustainable architecture. --- Renewable energy sources. --- Sustainable Architecture/Green Buildings. --- Renewable and Green Energy. --- Building Physics, HVAC. --- Energy Efficiency. --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Power resources --- Renewable natural resources --- Agriculture and energy --- Eco-architecture --- Environmentally conscious architecture --- Environmentally friendly architecture --- Green architecture --- Green building design --- Green design (Buildings) --- Sustainable design (Buildings) --- Architecture --- Sustainable design --- Renewable energy resources. --- Building construction. --- Energy efficiency. --- Consumption of energy --- Energy efficiency --- Fuel consumption --- Fuel efficiency --- Energy conservation

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An economic development model analyzes the adoption of alternative strategy capable of leveraging the economy, based essentially on RES. The combination of wind turbine, PV installation with new technology battery energy storage, DSM network and RES forecasting algorithms maximizes RES integration in isolated islands. An innovative model of power system (PS) imbalances is presented, which aims to capture various features of the stochastic behavior of imbalances and to reduce in average reserve requirements and PS risk. Deep learning techniques for medium-term wind speed and solar irradiance forecasting are presented, using for first time a specific cloud index. Scalability-replicability of the FLEXITRANSTORE technology innovations integrates hardware-software solutions in all areas of the transmission system and the wholesale markets, promoting increased RES. A deep learning and GIS approach are combined for the optimal positioning of wave energy converters. An innovative methodology to hybridize battery-based energy storage using supercapacitors for smoother power profile, a new control scheme and battery degradation mechanism and their economic viability are presented. An innovative module-level photovoltaic (PV) architecture in parallel configuration is introduced maximizing power extraction under partial shading. A new method for detecting demagnetization faults in axial flux permanent magnet synchronous wind generators is presented. The stochastic operating temperature (OT) optimization integrated with Markov Chain simulation ascertains a more accurate OT for guiding the coal gasification practice.

Technology: general issues --- History of engineering & technology --- entrained flow coal gasification --- ash melting point --- operation temperature --- Markov process --- stochastic optimization model --- genetic algorithm --- gallium nitride --- magnetic-free converters --- module-level converters --- parallel architecture --- partial shading --- photovoltaic systems --- switched capacitor converters --- hybrid energy storage system --- supercapacitor --- lead–acid battery --- energy management system --- battery degradation --- depth of discharge --- techno-economic analysis --- hybrid power station --- green island --- energy storage --- remote community --- reserves --- k-means --- probabilistic dimensioning --- dynamic dimensioning --- balancing --- wave energy converters --- deep neural networks --- renewable energy sources --- spatial planning --- sentinel satellite imagery --- permanent magnet synchronous machines --- generators --- fault detection --- demagnetization --- artificial intelligence --- data mining --- machine learning --- advanced deep learning --- windspeed forecasting --- solar irradiation forecasting --- increased RES penetration --- smart grid --- scalability --- replicability --- FLEXITRANSTORE --- Angolan economy --- diversification --- strategic alternative --- biofuels

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The book “Assessment of Renewable Energy Resources with Remote Sensing" focuses on disseminating scientific knowledge and technological developments for the assessment and forecasting of renewable energy resources using remote sensing techniques. The eleven papers inside the book provide an overview of remote sensing applications on hydro, solar, wind and geothermal energy resources and their major goal is to provide state of art knowledge to contribute with the renewable energy resource deployment, especially in regions where energy demand is rapidly expanding. Renewable energy resources have an intrinsic relationship with local environmental features and the regional climate. Even small and fast environment and/or climate changes can cause significant variability in power generation at different time and space scales. Methodologies based on remote sensing are the primary source of information for the development of numerical models that aim to support the planning and operation of an electric system with a substantial contribution of intermittent energy sources. In addition, reliable data and knowledge on renewable energy resource assessment are fundamental to ensure sustainable expansion considering environmental, financial and energetic security.

Research & information: general --- metaheuristic --- parameter extraction --- solar photovoltaic --- whale optimization algorithm --- cloud detection --- digitized image processing --- artificial neural networks --- solar irradiance estimation --- solar irradiance forecasting --- solar energy --- sky camera --- remote sensing --- CSP plants --- coastal wind measurements --- scanning LiDAR --- plan position indicator --- velocity volume processing --- Hazaki Oceanographical Research Station --- cloud coverage --- image processing --- total sky imagery --- geothermal energy --- geophysical prospecting --- time domain electromagnetic method --- electrical resistivity tomography --- potential well field location --- GES-CAL software --- smart island --- solar radiation forecasting --- light gradient boosting machine --- multistep-ahead prediction --- feature importance --- voxel-design approach --- shading envelopes --- point cloud data --- computational design method --- passive design strategy --- lake breeze influence --- hydropower reservoir --- solar irradiance enhancement --- solar energy resource --- wind speed --- extreme value analysis --- scatterometer --- feature engineering --- forecasting --- graphical user interface software --- machine learning --- photovoltaic power plant --- surface solar radiation --- global radiation --- satellite --- Baltic area --- coastline --- cloud --- convection --- climate --- renewable energy resource assessment and forecasting --- remote sensing data acquisition --- data processing --- statistical analysis --- machine learning techniques

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Standalone (off-grid) renewable energy systems supply electricity in places where there is no access to a standard electrical grid. These systems may include photovoltaic generators, wind turbines, hydro turbines or any other renewable electrical generator. Usually, this kind of system includes electricity storage (commonly lead-acid batteries, but also other types of storage can be used). In some cases, a backup generator (usually powered by fossil fuel, diesel or gasoline) is part of the hybrid system. The modelling of the components, the control of the system and the simulation of the performance of the whole system are necessary to evaluate the system technically and economically. The optimization of the sizing and/or the control is also an important task in this kind of system.

Research & information: general --- renewable energy --- low-temperature energy storage --- SOC --- simulation --- sustainability --- greenhouse gas emission --- economic feasibility --- photovoltaic systems --- MPPT --- partial shading condition --- transfer reinforcement learning --- space decomposition --- microgrids --- energy management --- optimization --- photovoltaic --- energy storage --- demand response program (DRP) --- photovoltaic system (PV) --- pumped heat energy storage (PHES) --- critical peak pricing (CPP) DRP --- time-ahead dynamic pricing (TADP) DRP --- loss of power supply probability (LPSP) --- energy storage system (ESS) --- Multi-Objective Particle Swarm Optimization (MOPSO) --- pitch control --- permanent magnet-synchronous generator (PMSG) --- limit extracted power --- nonlinear adaptive control (NAC) --- perturbation observer --- vanadium redox flow battery --- genetic algorithm --- binary particle swarm optimization --- time-varying mirrored S-shaped transfer function --- greenhouse gas emissions --- heliostat --- sun tracking --- solar energy --- embedded system --- fuzzy logic control --- center of sums defuzzification method --- n/a