This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 748747
Eduardo González-Gorbeña has a PhD in Ocean Engineering with emphasis in Coastal Engineering from the Federal University of Rio de Janeiro, a MSc in Coastal and Port Engineering from the University of Cantabria, and a BSc in Environmental Engineering from the Polytechnic University of Puerto Rico. He has a large experience applying numerical models to coastal engineering projects of different degrees of complexity. Since his PhD, his research has been focused on marine renewable energy, specifically with optimisation of tidal current turbine array layouts. In October 2016, he joined the Marine Offshore Energy Team from the University of Algarve (Portugal) to work in the project SCORE that has involved the first deployment of a Tidal Energy Converter (TEC) in Portuguese waters. Recently, he has been awarded a Marie Skłodowska-Curie Individual Fellowship for the project proposal named OpTiCA – Optimisation of Tidal energy Converter Arrays. This project started in July 2017 and aims to provide a significant contribution towards the understanding of (a) the effects of TECs interactions with the environment; (b) the capabilities and limitations of common strategies used for the numerical modelling of TECs; and (c) how to mathematically formulate optimisation models to solve the TEC array layout problem considering technical, socio-economic and environmental constraints.
Full CV.
PACHECO, A., GORBEÑA, E.G., SEQUEIRA, C., 2019. Marine energy prototype testing at Ria Formosa. In: Aníbal, J., Gomes, A., Mendes, I. & Moura, D. (eds.), Ria Formosa: challenges of a coastal lagoon in a changing environment. 1st edition. University of Algarve. Faro, ISBN 978-989-8859-72-3, pp. 125-138. UALG repository: https://sapientia.ualg.pt/handle/10400.1/12475 (Open Access)
GORBEÑA, E.G., PACHECO, A., PLOMARITIS, T., FERREIRA, Ó., SEQUEIRA, C., Moura, T. 2019. Surrogate-Based Optimization of Tidal Turbine Arrays: A Case Study for the Faro-Olhão Inlet. In: Rodrigues J. et al. (eds) Computational Science – ICCS 2019. ICCS 2019. Lecture Notes in Computer Science, vol 11538. Springer, Cham Doi: 10.1007/978-3-030-22744-9_43. Open Access: Link.
SEQUEIRA, C., PACHECO, A., GALEGO P., E. GONZÁLEZ-GORBEÑA, 2019. Analysis of the efficiency of wind turbine gearboxes using the temperature variable. Renewable Energy, 135:465-472. Doi: 10.1016/j.renene.2018.12.040. UAlg repository: http://hdl.handle.net/10400.1/12701. Open Acces: Link.
VARTDAL, J.T., QASSIM, R.Y., MOKLIEV, B., UDJUS, G., GONZÁLEZ-GORBEÑA, E., 2019. Tidal turbine farm electrical power cable optimal configuration problem identification via traveling salesman problem modeling approach. Journal of Modern Power Systems and Clean Energy, 7(2):289-296. Doi: 10.1007/s40565-018-0472-7 (Open Access). UAlg repository: http://hdl.handle.net/10400.1/11055
GORBEÑA E.G., PACHECO, A., PLOMARITIS, T., FERREIRA, Ó., SEQUEIRA, C., 2018. Estimating the optimum size of a tidal array at a multi-inlet system considering environmental and performance constraints. Applied Energy, 232:292-311. Doi: 10.1016/j.apenergy.2018.09.204. UAlg repository: http://hdl.handle.net/10400.1/12490. Open Access: Link.
PACHECO, A., GORBEÑA E.G., PLOMARITIS, T., GAREL, E., GONÇALVES, J., BENTES, L., MONTEIRO, P., AFONSO, C., OLIVEIRA, F., ZABEL, F., SEQUEIRA, C., 2018. Deployment of a floatable tidal turbine on a tidal lagoon system. Energy, 168:89-104. Doi: 10.1016/j.energy.2018.06.034. UAlg repository: http://hdl.handle.net/10400.1/10772. Open Access: Link.
GORBEÑA, E.G., QASSIM, R.Y., ROSMAN, P.C.C., 2018. Multi-dimensional Optimisation of Tidal Energy Converters Array Layouts Considering Geometric, Economic and Environmental Constraints. Renewable Energy, 116(Part A):647-658. Doi: 10.1016/j.renene.2017.10.009
PACHECO, A., GORBEÑA, E., SEQUEIRA, C., 2017. An evaluation of offshore wind power production by floatable systems: a case study from SW Portugal. Energy, 137:239-250. Doi: 10.1016/j.energy.2017.04.149
GORBEÑA, E.G., QASSIM, R.Y., ROSMAN, P.C.C., 2016. Optimisation of hydrokinetic turbine array layouts via surrogate modelling. Renewable Energy 93:45-57. Doi: 10.1016/j.renene.2016.02.045. Open Access: Link.
GORBEÑA, E.G., ROSMAN, P.C.C., 2016. About computational modelling in sub-grid scale of structures submerged in flows. Revista Brasileira de Recursos Hídricos, 21(1):209-221, (In Portuguese). Doi: 10.21168/rbrh.v21n1.p209-211 (Open Access)
GORBEÑA, E.G., ROSMAN, P.C.C., QASSIM, R.Y., 2015. Assessment of the tidal current energy resource in São Marcos Bay, Brazil. Journal of Ocean Engineering and Marine Energy, 1(4):421–433. Doi: 10.1007/s40722-015-0031-5 (Open Access)
GORBEÑA, E.G., WILSON JR.G., ROSMAN, P.C.C., QASSIM, R.Y., 2015. Influence in sediment dynamics due to tidal energy farms at São Marcos Bay, Ma. Revista Brasileira de Recursos Hídricos, 20(2):379-393 (In Portuguese). Doi: 10.21168/rbrh.v20n2.p379-393 (Open Access)
GORBEÑA, E.G., QASSIM, R.Y., ROSMAN, P.C.C., 2015. A Metamodel Simulation Based Optimisation Approach for the Tidal Turbine Location Problem. Aquatic Science and Technology, 3:33-58. Doi: 10.5296/ast.v3i1.6544 (Open Access)
GORBEÑA, E.G., 2013. An optimization model to maximize electrical energy generation from hydrodynamic currents. PhD Thesis COPPE/UFRJ, Rio de Janeiro, RJ, Brazil (In Portuguese). Available for download at: Link (Open Access)
GORBEÑA, E.G., 2009. Methodology to define surfability of waves. MSc Thesis University of Cantabria, Santander, Cantabria, Spain (In Spanish). Doi: 10.13140/RG.2.1.2740.1049 (Open Access)