Assessment of Renewable Energy Resources with Remote Sensing

• Autore: Martins Fernando Ramos
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (244 p.)
• Soggetto topico: Research & information: general
• Soggetto non controllato: artificial neural networks; Baltic area; climate; cloud; cloud coverage; cloud detection; coastal wind measurements; coastline; computational design method; convection; CSP plants; data processing; digitized image processing; electrical resistivity tomography; extreme value analysis; feature engineering; feature importance; forecasting; geophysical prospecting; geothermal energy; GES-CAL software; global radiation; graphical user interface software; Hazaki Oceanographical Research Station; hydropower reservoir; image processing; lake breeze influence; light gradient boosting machine; machine learning; machine learning techniques; metaheuristic; multistep-ahead prediction; parameter extraction; passive design strategy; photovoltaic power plant; plan position indicator; point cloud data; potential well field location; remote sensing; remote sensing data acquisition; renewable energy resource assessment and forecasting; satellite; scanning LiDAR; scatterometer; shading envelopes; sky camera; smart island; solar energy; solar energy resource; solar irradiance enhancement; solar irradiance estimation; solar irradiance forecasting; solar photovoltaic; solar radiation forecasting; statistical analysis; surface solar radiation; time domain electromagnetic method; total sky imagery; velocity volume processing; voxel-design approach; whale optimization algorithm; wind speed
• Persona (resp. second.): MartinsFernando Ramos
• Sommario/riassunto: 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.
• Titolo autorizzato: Assessment of Renewable Energy Resources with Remote Sensing
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557427903321
• Lo trovi qui: Univ. Federico II