E. Medina-Lopez
Satellite data for the offshore renewable energy sector: Synergies and innovation opportunities
Medina-Lopez, E.; McMillan, D.; Lazic, J.; Hart, Edward; Zen, S.; Angeloudis, A.; Bannon, E.; Browell, J.; Dorling, S.; Dorrell, R. M.; Forster, R.; Old, C.; Payne, G. S.; Porter, G.; Rabaneda, A. S.; Sellar, B.; Tapoglou, E.; Trifonova, N.; Woodhouse, I. H.; Zampollo, A.
Authors
D. McMillan
J. Lazic
Edward Hart
S. Zen
A. Angeloudis
E. Bannon
J. Browell
S. Dorling
Professor Robert Dorrell R.Dorrell@hull.ac.uk
Professor of Fluid Mechanics
Prof Rodney Forster R.Forster@hull.ac.uk
Professor
C. Old
G. S. Payne
G. Porter
A. S. Rabaneda
B. Sellar
E. Tapoglou
N. Trifonova
I. H. Woodhouse
A. Zampollo
Abstract
Can satellite data be used to address challenges currently faced by the Offshore Renewable Energy (ORE) sector? What benefit can satellite observations bring to resource assessment and maintenance of ORE farms? Can satellite observations be used to assess the environmental impact of offshore renewables leading towards a more sustainable ORE sector? This review paper faces these questions presenting a holistic view of the current interactions between satellite and ORE sectors, and future needs to make this partnership grow. The aim of the work is to start the conversation between these sectors by establishing a common ground. We present offshore needs and satellite technology limitations, as well as potential opportunities and areas of growth. To better understand this, the reader is guided through the history, current developments, challenges and future of offshore wind, tidal and wave energy technologies. Then, an overview on satellite observations for ocean applications is given, covering types of instruments and how they are used to provide different metocean variables, satellite performance, and data processing and integration. Past, present and future satellite missions are also discussed. Finally, the paper focuses on innovation opportunities and the potential of synergies between the ORE and satellite sectors. Specifically, we pay attention to improvements that satellite observations could bring to standard measurement techniques: assessing uncertainty, wind, tidal and wave conditions forecast, as well as environmental monitoring from space. Satellite–enabled measurement of ocean physical processes and applications for fisheries, mammals and birds, and habitat change, are also discussed in depth.
Citation
Medina-Lopez, E., McMillan, D., Lazic, J., Hart, E., Zen, S., Angeloudis, A., …Zampollo, A. (2021). Satellite data for the offshore renewable energy sector: Synergies and innovation opportunities. Remote Sensing of Environment, 264, Article 112588. https://doi.org/10.1016/j.rse.2021.112588
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 3, 2021 |
Online Publication Date | Jul 15, 2021 |
Publication Date | 2021-10 |
Deposit Date | Sep 8, 2021 |
Publicly Available Date | Jul 16, 2022 |
Journal | Remote Sensing of Environment |
Print ISSN | 0034-4257 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 264 |
Article Number | 112588 |
DOI | https://doi.org/10.1016/j.rse.2021.112588 |
Keywords | Satellite data; Offshore renewable energy (ORE); Wind; Tidal; Wave; SAR; Sustainable ORE sector |
Public URL | https://hull-repository.worktribe.com/output/3808717 |
Files
Accepted manuscript
(11.9 Mb)
PDF
Copyright Statement
© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Time‐Domain Implementation and Analyses of Multi‐Motion Modes of Floating Structures
(2022)
Journal Article
Hydrometeorological impact of climate change in two Mediterranean basins
(2018)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search