Special Issue "Remote Sensing of Wind Energy"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 September 2016)
Dr. Charlotte Bay Hasager
Wind Energy Department, Technical University of Denmark, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
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Interests: Marine boundary-layer meteorology; satellite remote sensing; offshore wind energy; wind farm wakes; land- and sea-surface roughness; wind resources; ground-based remote sensing
Dr. Alfredo Peña
Wind energy is the renewable energy source that contributes the most to the electricity generation worldwide. The need to further understand and efficiently use available wind resources is the key motivation for research in wind energy. The levelized cost of energy from wind power is competitive with that of the conventional energy sources at wind-favorable land sites, while efforts are made to lower the cost of wind energy at offshore, complex, and forested areas. The wake effect within and between wind farms and wind-power forecasting are areas with increasing importance because of the need to accurately predict wind power. There is, therefore, a need for reliable, robust, and accurate measurements and datasets to further improve our understanding of the physical conditions in which wind turbines and wind farms operate and for flow model evaluation.
Nowadays, remote sensing observations are used widely in wind energy applications. During the last couple of years, remote sensing technologies for wind have been improved, both in terms of accuracy and costs. Combined measurement infrastructures, such as that of WindScanner.eu, and new advancements for the measurement of atmospheric turbulence and the wind turbine power performance, turbine wakes, and for improvement of the turbine control, are being progressively achieved. Commercial acceptance of lidars, including floating/buoy lidars, for wind resource assessment, is also on-going. Based on airborne lidar, high-resolution land surface maps are retrieved in forested and complex terrain and provide new valuable inputs to micro- and meso-scale modeling. Surface roughness, terrain elevation, albedo, vegetation parameters, and land- and sea surface temperatures are assessed based on Earth Observation (EO) data and used as input for flow modeling of wind resources (wind atlas) and for the forecasting of wind power at short temporal scales. EO microwave data are used for offshore wind field mapping and applied for wind resource estimation, wind park wake effect, and long-term wind climate conditions.
We welcome submission on all aspects of remote sensing for wind energy application. This includes the above-mentioned topics and those listed below.
- Lidar, sodar, radar, and other ground-based remote sensing
- EO data from SAR, scatterometer and passive microwaves
- EO-based surface roughness and terrain elevation
- Remote sensing contribution to wind energy, wind resources, boundary-layer, and wind-power meteorology
- Remote sensing in atmospheric turbulence and wind-flow modeling
- Remote sensing for wake of wind turbines and wind farms
- Remote sensing application in forecasting of winds and wind power
- Remote sensing for control of wind turbines and wind farms
- Theoretical and experimental issues within remote sensing for wind energy
We would like to invite you to submit articles about your recent research. Review articles covering one or more of these topics are also welcome.
Dr. Charlotte Bay Hasager
Dr. Alfredo Peña
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access monthly journal published by MDPI.
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