Some types of renewable energy have been
experiencing rapid evolution in recent decades, notably among the energies
associated with the oceans, such as wave and current energies. The development
of new energy conversion technologies for these two forms of energy has been
offering a large number of equipment configurations and plant geometries for
energy conversion. This process can be implemented aiming at the result of
feasibility studies in places with energy potentials, establishing minimum
feasibility limits to be reached. This work aims to contribute in this sense
with a feasibility study of a system with ocean wave power plants and with
socio-current power plants to be operated on the southern coast of Brazil. This
study evaluates a hybrid system with contributions from energy supplies
obtained from wave plants and current plants, connected to the grid and
supplying the demand of the municipalities in the North Coast region of the
State of Rio Grande do Sul, the southernmost state of Brazil. The study was
carried out with simulations with the Homer Legacy software, with some
adaptations for the simulation of ocean wave plants and ocean current plants.
The results indicate that the ocean wave power plants were viable in the vast
majority of simulated scenarios, while the ocean current power plants were
viable in the scenarios with more intense average ocean current speeds and with
more expensive energy acquired from the interconnected system.
References
[1]
Twidell, J. and Weir, T. (2015) Renewable Energy Resources. 3rd Edition, Taylor and Francis, London, 816 p. https://doi.org/10.4324/9781315766416
[2]
Bahaj, A.S. (2011) Generating Electricity from the Oceans. Renewable and Sustainable Energy Reviews, 15, 3399-3416. https://doi.org/10.1016/j.rser.2011.04.032
[3]
Beluco, A., Souza, P.K., Livi, F.P. and Caux, J. (2015) Energetic Complementarity [of Solar Energy] with Hydropower and the Possibility of Storage in Batteries and Water Reservoirs. In: Sorensen, B., Ed., Solar Energy Storage, Academic Press, Cambridge, 155-188. https://doi.org/10.1016/B978-0-12-409540-3.00007-4
[4]
Jurasz, J., Canales, F.A., Kies, A., Guezgouz, M. and Beluco, A. (2020) A Review on the Complementarity between Energy Sources: Concept, Metrics, Application and Future Research Directions. Solar Energy, 195, 703-724. https://doi.org/10.1016/j.solener.2019.11.087
[5]
Odijie, A.C., Wamg, F. and Ye, J. (2017) A Review of Floating Semisubmersible Hull Systems: Column Stabilized Unit. Ocean Engineering, 144, 191-202. https://doi.org/10.1016/j.oceaneng.2017.08.020
[6]
Amaechi, C.V., Wang, F., Hou, X. and Ye, J. (2019) Strength of Submarine Hoses in Chinese-Lantern Configuration from Hydrodynamic Loads on CALM Buoy. Ocean Engineering, 171, 429-442. https://doi.org/10.1016/j.oceaneng.2018.11.010
[7]
Zhang, H., Xu, D., Xia, S. and Wu, Y. (2017) A New Concept for the Stability Design of Floating Airport with Multiple Modules. Procedia IUTAM, 22, 221-228. https://doi.org/10.1016/j.piutam.2017.08.025
[8]
Amaechi, C.V., Gillett, N., Odijie, A.C. Hou, X. and Ye, J. (2019) Composite Risers for Deep Waters Using a Numerical Modelling Approach. Composite Structures, 210, 486-499. https://doi.org/10.1016/j.compstruct.2018.11.057
[9]
Thiagarajan, K.P. and Dagher, H.J. (2014) A Review of Floating Platform Concepts for Offshore Wind Energy Generation. Journal of Offshore Mechanics and Arctic Engineering, 136, Article ID: 020903. https://doi.org/10.1115/1.4026607
[10]
Doyle, S. and Aggidis, G.A. (2019) Development of Multi-Oscillating Water Columns as Wave Energy Converters. Renewable and Sustainable Energy Reviews, 107, 75-86. https://doi.org/10.1016/j.rser.2019.02.021
[11]
Assis, L.E., Beluco, A. and Almeida, L.E.B. (2014) On the Wave Energy Potential along the Southern Coast of Brazil. International Journal of Energy and Environment, 5, 59-66. https://doi.org/10.5935/2076-2909.20140002
[12]
Fischer, A. and Almeida, L.E.B. (2016) Converting Energy from Ocean Currents. International Journal of Research in Engineering and Technology, 5, 220-227. https://lume.ufrgs.br/handle/10183/184300 https://doi.org/10.15623/ijret.2016.0503044
[13]
Silva, J.S. and Beluco, A. (2018) Characterization of a Feasibility Space for a New Technology—A Case Study of Wave Energy in Southern Brazil. Current Alternative Energy, 2, 1-11. https://doi.org/10.2174/1570178615666180830102336
[14]
Silva, J.S. and Beluco, A. (2020) A “Feasibility Space” as a Goal to Be Achieved in the Development of New Technologies for Converting Renewable Energies. MethodsX, 7, Article ID: 100960. https://doi.org/10.1016/j.mex.2020.100960
IBGE. Instituto Brasileiro de Geografia e Estatística (2020) Censo Demográfico de 2010. Total da populacao do Rio Grande do Sul. http://www.ibge.gov.br/home
[17]
Assis, L.E., Beluco, A. and Almeida, L.E.B. (2013) Avaliacao e aproveitamento da energia de ondas oceanicas no litoral do Rio Grande do Sul. Revista Brasileira de Recursos Hídricos, 18, 21-29. https://doi.org/10.21168/rbrh.v18n3.p21-29
[18]
Fischer, A., Beluco, A. and Almeida, L.E.B. (2013) Preliminary Determination of the Energy Potential of Ocean Currents along the Southern Coast of Brazil. International Journal of Energy and Environment, 4, 879-894. https://doi.org/10.5935/2076-2909.20130001
[19]
Fischer, A., Beluco, A. and Almeida, L.E.B. (2013) Energetic Potential and Variability of Ocean Currents on the Southern Coast of Brazil. IEEE Latin America Transactions, 13, 1369-1375. https://doi.org/10.1109/TLA.2015.7111991
[20]
Lambert, T.W., Gilman, P. and Lilienthal, P.D. (2005) Micropower System Modeling with HOMER. In: Farret, F.A. and Simoes, M.G., Eds., Integration of Alternative Sources of Energy, John Wiley & Sons, West Sussex, 379-418. https://doi.org/10.1002/0471755621.ch15
[21]
Lilienthal, P.D., Lambert, T.W. and Gilman, P. (2004) Computer Modeling of Renewable Power Systems. In: Cleveland, C.J., Ed., Encyclopedia of Energy, Elsevier, Amsterdam, Vol. 1, 633-647, NREL Report CH-710-36771. https://doi.org/10.1016/B0-12-176480-X/00522-2
[22]
Connolly, D., Lund, H., Mathiesen, B.V. and Leahy, M. (2010) A Review of Computer Tools for Analyzing the Integration of Renewable Energy into Various Energy Systems. Applied Energy, 87, 1059-1082. https://doi.org/10.1016/j.apenergy.2009.09.026
[23]
Beluco, A., During Filho, F.A., Silva, L.M.R., Silva, J.S., Teixeira, L.E., Vasco, G., Canales, F.A., Rossini, E.G., Souza, J., Daronco, G.C. and Risso, A. (2020) Dataset after Seven Years Simulating Hybrid Energy Systems with Homer Legacy. Data Science Journal, 19, 14. https://doi.org/10.5334/dsj-2020-014
[24]
Beluco, A., During Filho, F.A., Silva, L.M.R., Silva, J.S., Teixeira, L.E., Vasco, G., Canales, F.A., Rossini, E.G., Souza, J., Daronco, G.C. and Risso, A. (2020) Seven Years Simulating Hybrid Energy Systems with Homer Legacy. Mendeley Data, Vol. 2.
[25]
Canales, F.A. and Beluco, A. (2014) Modeling Pumped Hydro Storage with the Micropower Optimization Model (HOMER). Journal of Renewable and Sustainable Energy, 6, Article ID: 043131. https://doi.org/10.1063/1.4893077
[26]
Canales, F.A., Beluco, A. and Mendes, C.A.B. (2017) Modelling a Hydropower Plant with Reservoir with the Micropower Optimization Model (HOMER). International Journal of Sustainable Energy, 36, 654-667. https://doi.org/10.1080/14786451.2015.1080706
[27]
Fischer, A., Silva, J.S., Beluco, A. and Almeida, L.E.B. (2015) Simulating Ocean and Tidal Current Power Plants with Homer. Computational Water, Energy and Environmental Engineering, 4, 38-55. https://doi.org/10.4236/cweee.2015.43005
[28]
Silva, J.S., Beluco, A. and Almeida, L.E.B. (2013) Simulating an Ocean Wave Power Plant with Homer. International Journal of Energy and Environment, 5, 619-630. https://doi.org/10.5935/2076-2909.20140001
[29]
Fischer, A., Silva, J.S. and Beluco, A. (2020) A Hybrid System with Ocean Wave and Ocean Current Power Plants in Southern Brazil. Mendeley Data, Vol. 1.
[30]
Assis, L.E. (2010) Evaluation and Use of Ocean Wave Energy on the Coast of Rio Grande do Sul [In Portuguese]. Master Dissertation in Water Resources, Universidade Federal do Rio Grande do Sul, 82 p. http://hdl.handle.net/10183/32464
