Identification of Characteristics Influencing Wave Height and Current Velocity in MIKE Model for Simulation of Wind-induced Ocean Currents and Waves in Southeast of Caspian Sea

Document Type : Original Article

Authors

1 Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan, Iran

2 Department of Civil Engineering, Babol University of Technology, Babol, Iran

3 Head of the National Centre for the Studies and Research of the Caspian Sea, Water Research Institute, Iran

Abstract

Due to climate change and the necessity of paying attention to the preservation of energy resources to deal with the impacts of climate change, the enhancement of renewable energy portions via different resources has been considered in recent years. Therefore, it is necessary to study characteristics influencing the modeling of water streams and waves to monitor the movement of sea waves as a large resource of renewable energy in the generation of electricity, desalination, and water pumping. The dominant currents in the Caspian Sea, a constituent of which is wind-induced waves, the disconnectedness of the Caspian Sea from oceans, complex topography, shoreline configuration, and considerable temperature and density differences, which make it complicated to examine ocean current patterns, are of great importance. This study investigated bottom friction, wave breaking, white capping, solution technique, and the number of directions in the MIKE-SW model and meshes, solution technique, bed resistance, and wind friction in the MIKE-FM module to model the wave height and current velocity. The effectiveness and contributions of characteristics in the simulation were found by the MIKE-SW model as the wave propagation model of sea waves toward the coastal areas and in the current model. As a result, to perform reliable and realistic simulations, it is required to investigate every component. The investigation of all the simulation indexes showed that the MIKE numerical model yielded acceptable results for the simulation of ocean currents and waves in both MIKE-SW and MIKE-FM modules.

Keywords

References

1.   Ćatipović, I., Hadžić, N., Dias, F. & Kozmar, H., 2019. Computational Model of Simultaneous Wave and Sea Current Loads on Tidal Turbines. Ocean Engineering, 184: 323-331. https://doi.org/10.1016/j.oceaneng.2019.04.058
2.   Czech, B. & Bauer, P., 2012. Wave Energy Converter Concepts: Design Challenges and Classification. IEEE Industrial Electronics Magazine, 6(2): 4-16. https://doi.org/10.1109/MIE.2012.2193290
3.   Khojasteh, D., Mousavi, S. M., Glamore, W. & Iglesias, G., 2018. Wave Energy Status in Asia. Ocean Engineering, 169: 344-358. https://doi.org/10.1016/j.oceaneng.2018.09.034
4.   Dean, R. G. & Dalrymple, R. A., 2004. Coastal Processes with Engineering Applications. Cambridge University Press.
5.   Moeini, M., Etemad-Shahidi, A. & Chegini, V., 2010. Wave Modeling and Extreme Value Analysis Off the Northern Coast of the Persian Gulf. Applied Ocean Research, 32(2): 209-218. https://doi.org/10.1016/j.apor.2009.10.005
6.   Wan, Y., Zheng, C., Li, L., Dai, Y., Esteban, M. D., López-Gutiérrez, J.-S., Qu, X. & Zhang, X., 2020. Wave Energy Assessment Related to Wave Energy Convertors in the Coastal Waters of China. Energy, 117741. https://doi.org/10.1016/j.energy.2020.117741
7.   Bingölbali, B., Jafali, H., Akpınar, A. & Bekiroğlu, S., 2020. Wave Energy Potential and Variability for the South West Coasts of the Black Sea: The Web-Based Wave Energy Atlas. Renewable Energy, 154: 136-150. https://doi.org/10.1016/j.renene.2020.03.014
8.   Quitoras, M. R. D., Abundo, M. L. S. & Danao, L. A. M., 2018. A Techno-Economic Assessment of Wave Energy Resources in the Philippines. Renewable & Sustainable Energy Reviews, 88: 68-81. https://doi.org/10.1016/j.rser.2018.02.016
9.   Kompor, W., Ekkawatpanit, C. & Kositgittiwong, D., 2018. Assessment of Ocean Wave Energy Resource Potential in Thailand. Ocean & Coastal Management, 160: 64-74. https://doi.org/10.1016/j.ocecoaman.2018.04.003
10. Guimarães, R. C., Oleinik, P. H., de Paula Kirinus, E., Lopes, B. V., Trombetta, T. B. & Marques, W. C., 2019. An Overview of the Brazilian Continental Shelf Wave Energy Potential. Regional Studies in Marine Science, 25100446. https://doi.org/10.1016/j.rsma.2018.100446
11. Rusu, E. & Onea, F., 2019. A Parallel Evaluation of the Wind and Wave Energy Resources Along the Latin American and European Coastal Environments. Renewable Energy, 143: 1594-1607. https://doi.org/10.1016/j.renene.2019.05.117
12. Jahangir, M. H. & Mazinani, M., 2020. Evaluation of the Convertible Offshore Wave Energy Capacity of the Southern Strip of the Caspian Sea. Renewable Energy, 152: 331-346. https://doi.org/10.1016/j.renene.2020.01.012
13. Mahmoodi, K., Ghassemi, H. & Razminia, A., 2019. Temporal and Spatial Characteristics of Wave Energy in the Persian Gulf Based on the Era5 Reanalysis Dataset. Energy, 187115991. https://doi.org/10.1016/j.energy.2019.115991
14. Moeini, M. & Etemad-Shahidi, A., 2007. Application of Two Numerical Models for Wave Hindcasting in Lake Erie. Applied Ocean Research, 29(3): 137-145. https://doi.org/10.1016/j.apor.2007.10.001
15. Yüksel, Y., Çevik, E., Aydoğan, B., Arı, A., Saraçoğlu, K. E., Alpli, R. & Bekar, B., 2011. Türkiye Denizleri Dalga Iklim Modeli Ve Uzun Dönem Dalga Iklim Analizi. 7. Ulusal Kıyı Mühendisliği Sempozyumu, 411-420 [in Turkish].
16. Greenwood, C. E., Christie, D. & Venugopal, V., 2013. The Simulation of Nearshore Wave Energy Converters and Their Associated Impacts around the Outer Hebrides. in 10th Eur. Wave Tidal Energy Conf.(EWTEC 2013), pp: https://doi.org/10.13140/2.1.3963.5209
17. Liang, B., Shao, Z., Wu, Y., Shi, H. & Liu, Z., 2017. Numerical Study to Estimate the Wave Energy under Wave-Current Interaction in the Qingdao Coast, China. Renewable Energy, 101: 845-855. https://doi.org/10.1016/j.renene.2016.09.015
18. DHI, 2017. Mike User Manual. Danish Hydraulic Institute (DHI) group.
19. Allaby, A. & Allaby, M. Eddy Viscosity- a Dictionary of Earth Sciences, 26 Jun. 2020; Available from: https://www.encyclopedia.com.
20. Battjes, J. A. & Janssen, J., 1978. Energy Loss and Set-up Due to Breaking of Random Waves, in Coastal Engineering 1978. 16th International Conference on Coastal Engineering p. 569-587.
Iranian (Iranica) Journal of Energy & Environment
Volume 11, Issue 4
December 2020
Pages 330-338

Files

Share

How to cite

Statistics