[PDF] Assessment Of Renewable Energy Resources With Remote Sensing eBook

Author : Fernando Ramos Martins
Publisher : MDPI
Page : 244 pages
File Size : 23,18 MB
Release : 2021-03-18
Category : Science
ISBN : 303650480X

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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.

Author : Fernando Ramos Martins
Publisher :
Page : 244 pages
File Size : 44,64 MB
Release : 2021
Category :
ISBN : 9783036504810

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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.

Author : Benedetto Nastasi
Publisher : Mdpi AG
Page : 264 pages
File Size : 37,40 MB
Release : 2022-01-25
Category : Technology & Engineering
ISBN : 9783036528670

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This book aims at providing the state-of-the-art on all of the aforementioned tools in different energy applications and at different scales, i.e., urban, regional, national, and even continental for renewable scenarios planning and policy making.

Author : Daxton Owen
Publisher : Callisto Reference
Page : 0 pages
File Size : 42,95 MB
Release : 2023-09-19
Category : Technology & Engineering
ISBN : 9781641168304

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Renewable energy is the type of energy that is derived from renewable sources of energy. Hydro energy, geothermal energy, solar energy, biomass energy, wind energy, and tidal energy are some of the most popular renewable energy sources. Remote sensing and geographic information systems (GIS) technologies are widely used in the field of renewable energy. One of the most important steps in developing high-penetration renewable energy systems is evaluating the potential of renewable energy sources. A variety of tools and techniques can be utilized to accomplish this, including on-site remote sensing tools, in situ observations, reanalysis datasets, and satellite image data. The techniques based on remote sensing and GIS are beneficial in finding out optimum locations of renewable energy resources for developing renewable energy infrastructure. This book is a compilation of chapters that discuss the most vital concepts and emerging trends in the use of geographic information systems and remote sensing techniques for renewable energy. It is appropriate for students seeking detailed information in this area of study as well as for experts.

Author : George Galanis
Publisher : MDPI
Page : 306 pages
File Size : 23,62 MB
Release : 2020-11-27
Category : Technology & Engineering
ISBN : 3039430866

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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.

Author : Lubos Matejicek
Publisher : Springer
Page : 333 pages
File Size : 48,60 MB
Release : 2017-03-20
Category : Science
ISBN : 3319526944

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This volume is a comprehensive guide to the use of geographic information systems (GIS) for the spatial analysis of supply and demand for energy in the global and local scale. It gathers the latest research and techniques in GIS for spatial and temporal analysis of energy systems, mapping of energy from fossil fuels, optimization of renewable energy sources, optimized deployment of existing power sources, and assessment of environmental impact of all of the above. Author Lubos Matejicek covers GIS for assessment a wide variety of energy sources, including fossil fuels, hydropower, wind power, solar energy, biomass energy, and nuclear power as well as the use of batteries and accumulators. The author also utilizes case studies to illustrate advanced techniques such as multicriteria analysis, environmental modeling for prediction of energy consumption, and the use of mobile computing and multimedia tools.

Author : Rajesh Singh
Publisher : Bentham Science Publishers
Page : 151 pages
File Size : 15,16 MB
Release : 2022-01-04
Category : Technology & Engineering
ISBN : 9815039008

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This book is a compilation of innovative work on image processing applications for renewable energy systems. The chapters in the book describe the use of neural networks in multi-direction dynamic, topographical data frameworks which are designed to account for the distinctive contemporary issues faced when managing environmentally friendly power generation systems. The topics covered include uncertainty analysis methods, computing technologies, automated control systems, performance analysis, riverfront analysis through image processing and solar power estimation methods, to name a few. The information is also complemented with a review of problems in the electric power sector in India. This book is beneficial for professionals and researchers who work on hybrid techniques of GIS, remote sensing, image processing and the implementation of these techniques for utilizing renewable energy resources. Engineers who work on advanced algorithms for renewable energy applications will also get an updated perspective about relevant innovations in this industrial sector.

Author : Ishak Mohammed
Publisher :
Page : 0 pages
File Size : 31,60 MB
Release : 2017
Category :
ISBN :

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In recent times, the continuous dependence on fossil fuel as a major energy source has come under intense scrutiny in environmental and energy policy discourses. Such energy sources emit greenhouse gases (GHGs) - a major cause of climate change - and threaten global energy security and environmental health. Renewable energy (RE) sources such as solar, wind, hydro and biomass have gained increasing popularity as attractive alternatives around which global partnerships and cooperation continue to grow. The capital cost associated with the development of some of these energy sources are however huge, necessitating comprehensive evaluation of locational suitability before proceeding with RE investments. While several traditional methodological approaches for the assessment of RE potentials abound, the significant role of the remote sensing (RS) technology in this regard is enormous and hence represents the focus of this paper. Literature on the shift towards green energy, remote sensing technology, and its applications in the development of four renewable energy sources - solar, wind, hydro and biomass - are explored. Case studies were drawn from different geographies around the world to highlight the capabilities of the remote sensing technologies in RE development and variations in the approaches and methodologies adopted in RE resources assessments. The paper concludes that the role of RS technology in renewable energy is huge and growing. Notwithstanding, the need for multi-criteria analysis in the selection of suitable locations for RE investments makes the combination of both GIS and Remote sensing technologies necessary.