About this paper

Appears in:
Pages: 8696-8702
Publication year: 2016
ISBN: 978-84-608-8860-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2016.0891

Conference name: 8th International Conference on Education and New Learning Technologies
Dates: 4-6 July, 2016
Location: Barcelona, Spain

TEACHING RENEWABLE ENERGIES USING FREE SOFTWARE: A CASE STUDY WITH R APPLIED TO OCEAN ENERGY

M. Antxustegi, M. Gonzalez-Alriols, A. Urresti, A. Campos, A. Ulazia, G. Ibarra-Berastegi

University of the Basque Country UPV/EHU (SPAIN)
The University of the Basque Country (http://www.ehu.es) is the most important University in the Autonomous Region of the Basque Country, Spain. There is one degree in Renewable Energy Engineering given at the Gipuzkoa Faculty of Engineering (Eibar). In the last year of their studies, they can select one subject on Ocean Energy.

In this subject, state-of-the-art operation and management techniques are taught to the students. Apart from the transmission of this knowlegde, the focus is practical and is based on hands-on computer real-life exercises, which involves not only intensive programming using a high-level software, but also the spatial representation of results.

This is important because currently two major research and development lines can be identified as far as ocean energy is concerned. The first one is the analysis of prototypes that in the future will extensively extract electricity from wave farms.

The second one is related to the resource itself, which implies the analysis and characterization of some ocean variables related to the extraction of energy. In many cases, the raw information on some oceanic variables of interest is available from institutions like the ECMWF http://www.ecmwf.int However a very extensive phase of data preprocessing is needed to extract useful information on wave energy potential. This will be an important task for future engineers involved in the spatial planning of oceanic energy facilities and in real-time forecasting and control of electricity obtained at wave farms. For this reason, students need to effectively learn to do all these tasks.
R (https://www.cran.r-project.org/) is a freely available software that provides an optimum answer to these combined needs and teaching challenges due to its modular structure. R has a core module and nearly 8000 packages specifically developed for different purposes are also available. Packages like “RNetCDF”, “sp” “rgeos”, “rgdal”, “maps”, “maptools” and “mapdata” have been developed to make R work with full functionalities just like any high-level programming software.

Incorporating R into the teaching activities of the subject “Ocean Energy” has represented an important step forward in the education of future engineers while providing them with real-life tools for their future jobs in wave farms .
@InProceedings{ANTXUSTEGI2016TEA,
author = {Antxustegi, M. and Gonzalez-Alriols, M. and Urresti, A. and Campos, A. and Ulazia, A. and Ibarra-Berastegi, G.},
title = {TEACHING RENEWABLE ENERGIES USING FREE SOFTWARE: A CASE STUDY WITH R APPLIED TO OCEAN ENERGY},
series = {8th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN16 Proceedings},
isbn = {978-84-608-8860-4},
issn = {2340-1117},
doi = {10.21125/edulearn.2016.0891},
url = {http://dx.doi.org/10.21125/edulearn.2016.0891},
publisher = {IATED},
location = {Barcelona, Spain},
month = {4-6 July, 2016},
year = {2016},
pages = {8696-8702}}
TY - CONF
AU - M. Antxustegi AU - M. Gonzalez-Alriols AU - A. Urresti AU - A. Campos AU - A. Ulazia AU - G. Ibarra-Berastegi
TI - TEACHING RENEWABLE ENERGIES USING FREE SOFTWARE: A CASE STUDY WITH R APPLIED TO OCEAN ENERGY
SN - 978-84-608-8860-4/2340-1117
DO - 10.21125/edulearn.2016.0891
PY - 2016
Y1 - 4-6 July, 2016
CI - Barcelona, Spain
JO - 8th International Conference on Education and New Learning Technologies
JA - EDULEARN16 Proceedings
SP - 8696
EP - 8702
ER -
M. Antxustegi, M. Gonzalez-Alriols, A. Urresti, A. Campos, A. Ulazia, G. Ibarra-Berastegi (2016) TEACHING RENEWABLE ENERGIES USING FREE SOFTWARE: A CASE STUDY WITH R APPLIED TO OCEAN ENERGY, EDULEARN16 Proceedings, pp. 8696-8702.
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