Subject
Ocean wave energy and offshore wind energy assessment
General details of the subject
- Mode
- Face-to-face degree course
- Language
- English
Description and contextualization of the subject
This subject belongs to the first module of REM called Resource and marine environment. It deals with ocean waves andoff-shore wind which are analyzed as geophysical fluids holding an energetic potential. This subject is connected with a
follow-up subject in Nantes.
The objectives are to provide students with:
1. The theoretical knowledge on Fluid Mechanics and Physics to understand the behaviour of wind and ocean waves as
geophysical fluids in nature
2. The capability of evaluating ocean waves potential in any region
3. The capability of evaluating off-shore wind potential in any region
4. An introductory knowledge of the state-of-the-art models(WRF, SWAN)
Teaching staff
Name | Institution | Category | Doctor | Teaching profile | Area | |
---|---|---|---|---|---|---|
ESNAOLA ALDANONDO, GANIX | University of the Basque Country | Profesorado Agregado | Doctor | Bilingual | Fluid Mechanics | ganix.esnaola@ehu.eus |
IBARRA BERASTEGUI, GABRIEL | University of the Basque Country | Profesorado Catedratico De Universidad | Doctor | Bilingual | Fluid Mechanics | gabriel.ibarra@ehu.eus |
SERRAS MALILLOS, PAULA | University of the Basque Country | Profesorado Agregado | Doctor | Bilingual | Fluid Mechanics | paula.serras@ehu.eus |
ULAZIA MANTEROLA, ALAIN | University of the Basque Country | Profesorado Titular De Universidad | Doctor | Bilingual | Fluid Mechanics | alain.ulazia@ehu.eus |
Competencies
Name | Weight |
---|---|
Students understand a scientific description of wind and ocean waves as geophysical fluids | 25.0 % |
Students are able to evaluate the energetic potential of ocean waves | 25.0 % |
Students are able to evaluate the energetic potential of off-shore wind | 25.0 % |
Students are able to use software tools for evaluation and estimation of energetic potential | 25.0 % |
Study types
Type | Face-to-face hours | Non face-to-face hours | Total hours |
---|---|---|---|
Lecture-based | 11 | 0 | 11 |
Applied classroom-based groups | 5 | 0 | 5 |
Applied computer-based groups | 29 | 67.5 | 96.5 |
Training activities
Name | Hours | Percentage of classroom teaching |
---|---|---|
Computer work practice, laboratory, site visits, field trips, external visits | 29.0 | 100 % |
Expositive classes | 16.0 | 100 % |
Expository presentation of the contents and discussion | 16.0 | 100 % |
Student's personal work | 67.5 | 0 % |
Working with it equipment | 29.0 | 100 % |
Assessment systems
Name | Minimum weighting | Maximum weighting |
---|---|---|
Drawing up reports and presentations | 0.0 % | 100.0 % |
Essay, Individual work and/or group work | 100.0 % | 100.0 % |
Learning outcomes of the subject
1. The student will understand what a reanalysis is and will learn to have access and download information from wind and waves public databases2. The student will be able to manipulate those data and identify tentative locations based upon wind and wave energy potential
3. The student will be able to understand how offshore wind facilities work
4. The student will be able to understand how wave energy facilities work
Ordinary call: orientations and renunciation
GRADING POLICY AND TASKS: the grading system corresponds to "continuous assessment".Task T1: 100% Resolution of practical hands-on exercises on the contents of the subject.
Students not regularly attending and succesfully solving the T1 sessions will have the opportunity to obtain their grade in the ordinary call.
In the ordinary call the student can be evaluated by the final exam system (by an exercise on 100% of the subject), providing they claim for it to the teacher responsible of the group where they are enroled in.
The request must be forwarded by electronic mail during the 9 first weeks of the year. In this case the structure of the exam will also include practical exercises assocaited to teh content of the subject
A non regular attendance to the T1 sessions and not having requested the final exam will be considered a withdrawal from the ordinary call.
Ver guía en inglés
Extraordinary call: orientations and renunciation
In the extraordinary call, the student has to sit an exam with a grading weight of 100%, just like in the ordinary call.Not sitting the final exam T1 in the extraordinary call will be considered a withdrawal from that call.
Temary
Lesson 1 The reanalysis concept. Atmospheric and oceanic reanalyses. Data assimilation and algorithms.Lesson 2 Offshore wind energy evaluation and assessment.
Evaluation and spatial representation of offshore wind energy potential using R and Geographical Information Systems .
Lesson 3 Ocean modelling and ocean wave modelling. Introduction to ocean waves. Directionality, frequencies and
spectra. Practical use of major ocean reanalysis products.Ocean wave energy evaluation and assessment.Practical
evaluation and spatial representation of the wave energy flux using R.
Lesson 4.
A practical analysis of a fully operational wave farm: the case of Mutriku.
Bibliography
Compulsory materials
The slides prepared by the teachers of the subjectBasic bibliography
1. Burton, T., Sharpe, D., Jenkins, N, & Bossanyi, E. (2001). Wind energy handbook. John Wiley & Sons.2. Crawley, M.J. , 2013. The R Book (2nd Edition) John Wiley & Sons.
3. DeCaria, J.A. and G. E. van Knowe, A First Course in Atmospheric Numerical Modeling. 2014. Sundog Publishing,
Madison, 320 pages.
4. Evensen, Geir, 2009. Data Assimilation. The Ensemble Kalman Filter. Springer-Verlag Berlin Heidelberg. DOI:
10.1007/978-3-642-03711-5. ISBN: 978-3-642-03710-8.
5. Holthuijsen. L.H. 2007. Waves in Oceanic and Coastal Waters. Cambridge University Press
6. Jacobson, M.Z.Fundamentals of Atmospheric Modeling, 2nd ed. 2005. Cambridge University Press, Cambridge, 813
pages
7. Kalnay, E. Atmospheric modeling, data assimilation and predictability, 2002. Cambridge University Press, Cambridge,
368 pages.
8. Kämpf, Jochen, 2009. Ocean Modelling for Beginners. Using Open-Source Software. Springer-Verlag Berlin
Heidelberg. ISBN: 978-3-642-00819-1.
9. Kämpf, Jochen, 2010. Advanced Ocean Modelling. Using Open-Source Software. Springer-Verlag Berlin Heidelberg.
ISBN: 978-3-642-10609-5.
10. Lahoz, William, Khattatov, Boris, Menard, Richard, 2010. Data Assimilation. Making Sense of Observations. Springer-
Verlag Berlin Heidelberg. ISBN: 978-3-540-74702-4.
11. Manwell, J. F., McGowan, J. G., & Rogers, A. L. (2010). Wind energy explained: theory, design and application. John
Wiley & Sons.
12. Multon, B. 2012. Marine Renewable Energy Handbook. ISTE Ltd John Wiley & Sons.
13. Sarkisyan, Artem S., Sündermann, Jürgen, 2009. Modelling ocean climate variability. Springer Netherlands. ISBN:
978-1-4020-9207-7.
14. Siedler, Gerold, Griffies, Stephen, Gould, John, 2013. Ocean Circulation and Climate. A 21st century perspective.
Academic Press. ISBN: 9780123918512.
15. Stull, R.B., Meteorology for Scientists and Engineers, 2nd ed. 2000. Brooks/Cole Thomson Learning, Pacific Grove,
CA, 520 pages.
16. Twidell, J., & Gaudiosi, G. (Eds.). (2009). Offshore wind power. Multi-Science Publishing Company
In-depth bibliography
1.Stanislaw R. Massel. 2005. Ocean Surface Waves: Their Physics and prediction.Advance series on Ocean ENgineering vol. 11.
World Scientific Publishing. ISBN: 981-0-216-866
2.Arthur Pecher. Jens Peter Kofoed. 2017.Handbook of ocean wave energy. Springer Open.ISBN: 978-3-319-39888-4.
3.Zhaoqing Yang and Andrea Copping. 2017.Marine Renewable Energy. Resource Characterization and Physical
Effects.Springer. ISBN: 978-3-319-53534-0.
Ver guía en inglés
Journals
Bulletin of the American Meteorological SocietyClimate Dynamics
Journal of Advances in Modeling Earth Systems
Journal of Geophysical Research
Journal of Oceanic Engineering IEEE
Monthly Weather Review
Ocean Dynamics
Ocean Engineering
Ocean Modelling
Ocean Science
Renewable Energy
Review of Geophysics
Wind Energy
Ver guía en inglés
Links
Direcciones de internet de interéshttp://www.reanalyses.org
https://reanalyses.org/ocean/overview-current-reanalyses
http://www.ecmwf.int/en/research/climate-reanalysis
http://www.ecmwf.int/en/research/modelling-and-prediction/marine
http://apps.ecmwf.int/datasets/
http://gmao.gsfc.nasa.gov/reanalysis/MERRA-2
http://www.nodc.noaa.gov
http://www.nodc.noaa.gov/BUOY/
http://www.ewea.org/
http://icdc.zmaw.de/projekte/easy-init/easy-init-ocean.html
http://marine.copernicus.eu/
http://www.puertos.es/es-es/
http://www.puertos.es/es-es/oceanografia/Paginas/portus.aspx
http://swanmodel.sourceforge.net/