IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v196y2022icp921-945.html
   My bibliography  Save this article

On the Nile Fan's wave power potential and controlling factors integrating spectral and geostatistical techniques

Author

Listed:
  • Masoud, Alaa A.

Abstract

Wave energy is foreseen to contribute largely to the renewable energy projected to supply 20% of Egypt's electricity budget to meet burgeoning energy demand. Therefore, this research analyses the Nile Fan wave energy forecasted from numerical modeling for 2020 of the Copernicus Marine Environment Monitoring Service (CMEMS) database, hourly spatially sampled at 0.042° as the finest scale remotely-sensed data available. Wave energy spatial distribution is analyzed using data from 259 points proposed as Wave Energy Converters (WECs). Spectral analyses techniques were appraised for disclosing the frequency and energy return periods of the significant wave height and peak periods and to understand the similarity among selected WECs of varied conditions. Factor analysis is conducted to investigate the magnitude of factors controlling the wave dynamic and energy potential. K-means clustering was used to distinguish energy classes with large inter-class variances. The obtained resources (average wave energy density, around 5.32 KWh/m; maximum recorded value of 112.9 KWh/m; annual wave energy density sum of about 46.96 MWh/m) are among the largest found in the Mediterranean Sea. Spectral analysis clarified a strong periodicity at 21 days, intermittent periods of 2.66 days, and 7.5 days dominate over the year while a 22.6 hourly period dominates in summer. January attained the strongest peak frequency of 8.4 in the west, 6.6 between the NW and SE sites, 5.20 for the near shore sites. Directional analysis indicated a bimodal wave system (325° and 285°-295°) in the west and unimodal (285°295°) in the east, while the central area showed combined distribution; bimodal in the deep water and unimodal near the shore. The 285°-295° wave direction showed largest contribution to the wave energy density. The northwest is the most energetic and most productive area. Monthly and seasonal wave energy clarified maximum of 9.98 MWh/m in January and 22.6 MWh/m in winter that contributes to 21% and 53% of the yearly mean, respectively. The wave energy resource is more than 3.5 times greater in winter than in summer. Exploitable energy density level exceeding 2 KWh/m are recorded for 250 sites out of the 259 site. Factor and detrended correspondence analyses confirmed that more than 98% of the Nile Fan's wave energy variance is controlled, in decreasing order of influence, by the depth, distance to shore, significant wave height, wave peak period, and wave principal direction. Four classes of varied statistics and hence different wave behavior were distinguished affected by the depth, morphology of the shoreline, and the dominating wave direction. Deepest water and near shore classes attained the largest wave energy. Further details on the effect of the environmental factors on the wave shape and corresponding energy are concluded.

Suggested Citation

  • Masoud, Alaa A., 2022. "On the Nile Fan's wave power potential and controlling factors integrating spectral and geostatistical techniques," Renewable Energy, Elsevier, vol. 196(C), pages 921-945.
  • Handle: RePEc:eee:renene:v:196:y:2022:i:c:p:921-945
    DOI: 10.1016/j.renene.2022.07.060
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122010552
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2022.07.060?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sierra, J.P. & Martín, C. & Mösso, C. & Mestres, M. & Jebbad, R., 2016. "Wave energy potential along the Atlantic coast of Morocco," Renewable Energy, Elsevier, vol. 96(PA), pages 20-32.
    2. Aoun, N.S. & Harajli, H.A. & Queffeulou, P., 2013. "Preliminary appraisal of wave power prospects in Lebanon," Renewable Energy, Elsevier, vol. 53(C), pages 165-173.
    3. Appendini, Christian M. & Urbano-Latorre, Claudia P. & Figueroa, Bernardo & Dagua-Paz, Claudia J. & Torres-Freyermuth, Alec & Salles, Paulo, 2015. "Wave energy potential assessment in the Caribbean Low Level Jet using wave hindcast information," Applied Energy, Elsevier, vol. 137(C), pages 375-384.
    4. Boronowski, Susan & Wild, Peter & Rowe, Andrew & Cornelis van Kooten, G., 2010. "Integration of wave power in Haida Gwaii," Renewable Energy, Elsevier, vol. 35(11), pages 2415-2421.
    5. Bahaj, AbuBakr S., 2011. "Generating electricity from the oceans," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3399-3416, September.
    6. Bingölbali, Bilal & Majidi, Ajab Gul & Akpınar, Adem, 2021. "Inter- and intra-annual wave energy resource assessment in the south-western Black Sea coast," Renewable Energy, Elsevier, vol. 169(C), pages 809-819.
    7. Alamian, Rezvan & Shafaghat, Rouzbeh & Miri, S. Jalal & Yazdanshenas, Nima & Shakeri, Mostafa, 2014. "Evaluation of technologies for harvesting wave energy in Caspian Sea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 468-476.
    8. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
    9. Besio, G. & Mentaschi, L. & Mazzino, A., 2016. "Wave energy resource assessment in the Mediterranean Sea on the basis of a 35-year hindcast," Energy, Elsevier, vol. 94(C), pages 50-63.
    10. Zodiatis, George & Galanis, George & Nikolaidis, Andreas & Kalogeri, Christina & Hayes, Dan & Georgiou, Georgios C. & Chu, Peter C. & Kallos, George, 2014. "Wave energy potential in the Eastern Mediterranean Levantine Basin. An integrated 10-year study," Renewable Energy, Elsevier, vol. 69(C), pages 311-323.
    11. Reguero, B.G. & Losada, I.J. & Méndez, F.J., 2015. "A global wave power resource and its seasonal, interannual and long-term variability," Applied Energy, Elsevier, vol. 148(C), pages 366-380.
    12. Rusu, Liliana & Onea, Florin, 2015. "Assessment of the performances of various wave energy converters along the European continental coasts," Energy, Elsevier, vol. 82(C), pages 889-904.
    13. Arinaga, Randi A. & Cheung, Kwok Fai, 2012. "Atlas of global wave energy from 10 years of reanalysis and hindcast data," Renewable Energy, Elsevier, vol. 39(1), pages 49-64.
    14. Vicinanza, D. & Contestabile, P. & Ferrante, V., 2013. "Wave energy potential in the north-west of Sardinia (Italy)," Renewable Energy, Elsevier, vol. 50(C), pages 506-521.
    15. Mirzaei, Ali & Tangang, Fredolin & Juneng, Liew, 2015. "Wave energy potential assessment in the central and southern regions of the South China Sea," Renewable Energy, Elsevier, vol. 80(C), pages 454-470.
    16. Pasquale Contestabile & Vincenzo Ferrante & Diego Vicinanza, 2015. "Wave Energy Resource along the Coast of Santa Catarina (Brazil)," Energies, MDPI, vol. 8(12), pages 1-25, December.
    17. Mirzaei, Ali & Tangang, Fredolin & Juneng, Liew, 2014. "Wave energy potential along the east coast of Peninsular Malaysia," Energy, Elsevier, vol. 68(C), pages 722-734.
    18. Kamranzad, Bahareh & Chegini, Vahid & Etemad-Shahidi, Amir, 2016. "Temporal-spatial variation of wave energy and nearshore hotspots in the Gulf of Oman based on locally generated wind waves," Renewable Energy, Elsevier, vol. 94(C), pages 341-352.
    19. Lavidas, George & Venugopal, Vengatesan, 2017. "A 35 year high-resolution wave atlas for nearshore energy production and economics at the Aegean Sea," Renewable Energy, Elsevier, vol. 103(C), pages 401-417.
    20. Ahn, Seongho & Neary, Vincent S. & Haas, Kevin A., 2022. "Global wave energy resource classification system for regional energy planning and project development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    21. Rusu, Eugen & Onea, Florin, 2013. "Evaluation of the wind and wave energy along the Caspian Sea," Energy, Elsevier, vol. 50(C), pages 1-14.
    22. Guy Melard, 1984. "Algorithm AS197: A fast algorithm for the exact likelihood of autoregressive-moving average models," ULB Institutional Repository 2013/13692, ULB -- Universite Libre de Bruxelles.
    23. Iglesias, G. & Carballo, R., 2010. "Wave power for La Isla Bonita," Energy, Elsevier, vol. 35(12), pages 5013-5021.
    24. Rute Bento, A. & Martinho, Paulo & Guedes Soares, C., 2015. "Numerical modelling of the wave energy in Galway Bay," Renewable Energy, Elsevier, vol. 78(C), pages 457-466.
    25. Alonso, Rodrigo & Solari, Sebastián & Teixeira, Luis, 2015. "Wave energy resource assessment in Uruguay," Energy, Elsevier, vol. 93(P1), pages 683-696.
    26. Tunde Aderinto & Hua Li, 2019. "Review on Power Performance and Efficiency of Wave Energy Converters," Energies, MDPI, vol. 12(22), pages 1-24, November.
    27. Kamranzad, Bahareh & Etemad-Shahidi, Amir & Chegini, Vahid, 2016. "Sustainability of wave energy resources in southern Caspian Sea," Energy, Elsevier, vol. 97(C), pages 549-559.
    28. Iglesias, G. & Carballo, R., 2009. "Wave energy potential along the Death Coast (Spain)," Energy, Elsevier, vol. 34(11), pages 1963-1975.
    29. Astariz, S. & Iglesias, G., 2015. "The economics of wave energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 397-408.
    30. Sierra, J.P. & González-Marco, D. & Sospedra, J. & Gironella, X. & Mösso, C. & Sánchez-Arcilla, A., 2013. "Wave energy resource assessment in Lanzarote (Spain)," Renewable Energy, Elsevier, vol. 55(C), pages 480-489.
    31. Ayat, Berna, 2013. "Wave power atlas of Eastern Mediterranean and Aegean Seas," Energy, Elsevier, vol. 54(C), pages 251-262.
    32. O’Connell, Ross & de Montera, Louis & Peters, Jared L. & Horion, Stéphanie, 2020. "An updated assessment of Ireland’s wave energy resource using satellite data assimilation and a revised wave period ratio," Renewable Energy, Elsevier, vol. 160(C), pages 1431-1444.
    33. Folley, M. & Whittaker, T.J.T., 2009. "Analysis of the nearshore wave energy resource," Renewable Energy, Elsevier, vol. 34(7), pages 1709-1715.
    34. Rusu, Eugen & Guedes Soares, C., 2013. "Coastal impact induced by a Pelamis wave farm operating in the Portuguese nearshore," Renewable Energy, Elsevier, vol. 58(C), pages 34-49.
    35. Penalba, Markel & Ulazia, Alain & Ibarra-Berastegui, Gabriel & Ringwood, John & Sáenz, Jon, 2018. "Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption," Applied Energy, Elsevier, vol. 224(C), pages 205-219.
    36. Tiron, Roxana & Mallon, Fionn & Dias, Frédéric & Reynaud, Emmanuel G., 2015. "The challenging life of wave energy devices at sea: A few points to consider," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1263-1272.
    37. Rusu, Eugen & Guedes Soares, C., 2009. "Numerical modelling to estimate the spatial distribution of the wave energy in the Portuguese nearshore," Renewable Energy, Elsevier, vol. 34(6), pages 1501-1516.
    38. Jadidoleslam, Navid & Özger, Mehmet & Ağıralioğlu, Necati, 2016. "Wave power potential assessment of Aegean Sea with an integrated 15-year data," Renewable Energy, Elsevier, vol. 86(C), pages 1045-1059.
    39. Dunnett, David & Wallace, James S., 2009. "Electricity generation from wave power in Canada," Renewable Energy, Elsevier, vol. 34(1), pages 179-195.
    40. Liberti, Luca & Carillo, Adriana & Sannino, Gianmaria, 2013. "Wave energy resource assessment in the Mediterranean, the Italian perspective," Renewable Energy, Elsevier, vol. 50(C), pages 938-949.
    41. Iglesias, G. & Carballo, R., 2010. "Offshore and inshore wave energy assessment: Asturias (N Spain)," Energy, Elsevier, vol. 35(5), pages 1964-1972.
    42. Fairley, Iain & Lewis, Matthew & Robertson, Bryson & Hemer, Mark & Masters, Ian & Horrillo-Caraballo, Jose & Karunarathna, Harshinie & Reeve, Dominic E., 2020. "A classification system for global wave energy resources based on multivariate clustering," Applied Energy, Elsevier, vol. 262(C).
    43. Adem Akpınar & Halid Jafali & Eugen Rusu, 2019. "Temporal Variation of the Wave Energy Flux in Hotspot Areas of the Black Sea," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    44. Iglesias, G. & Carballo, R., 2014. "Wave farm impact: The role of farm-to-coast distance," Renewable Energy, Elsevier, vol. 69(C), pages 375-385.
    45. Amarouche, Khalid & Akpınar, Adem & Bachari, Nour El Islam & Houma, Fouzia, 2020. "Wave energy resource assessment along the Algerian coast based on 39-year wave hindcast," Renewable Energy, Elsevier, vol. 153(C), pages 840-860.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Morim, Joao & Cartwright, Nick & Etemad-Shahidi, Amir & Strauss, Darrell & Hemer, Mark, 2016. "Wave energy resource assessment along the Southeast coast of Australia on the basis of a 31-year hindcast," Applied Energy, Elsevier, vol. 184(C), pages 276-297.
    2. Bingölbali, Bilal & Jafali, Halid & Akpınar, Adem & Bekiroğlu, Serkan, 2020. "Wave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas," Renewable Energy, Elsevier, vol. 154(C), pages 136-150.
    3. Egidijus Kasiulis & Jens Peter Kofoed & Arvydas Povilaitis & Algirdas Radzevičius, 2017. "Spatial Distribution of the Baltic Sea Near-Shore Wave Power Potential along the Coast of Klaipėda, Lithuania," Energies, MDPI, vol. 10(12), pages 1-18, December.
    4. Lin, Yifan & Dong, Sheng & Wang, Zhifeng & Guedes Soares, C., 2019. "Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids," Renewable Energy, Elsevier, vol. 136(C), pages 275-295.
    5. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2020. "Wave energy assessment based on a 33-year hindcast for the Canary Islands," Renewable Energy, Elsevier, vol. 152(C), pages 259-269.
    6. Sierra, J.P. & Martín, C. & Mösso, C. & Mestres, M. & Jebbad, R., 2016. "Wave energy potential along the Atlantic coast of Morocco," Renewable Energy, Elsevier, vol. 96(PA), pages 20-32.
    7. Valentina Vannucchi & Lorenzo Cappietti, 2016. "Wave Energy Assessment and Performance Estimation of State of the Art Wave Energy Converters in Italian Hotspots," Sustainability, MDPI, vol. 8(12), pages 1-21, December.
    8. Sierra, J.P. & Mösso, C. & González-Marco, D., 2014. "Wave energy resource assessment in Menorca (Spain)," Renewable Energy, Elsevier, vol. 71(C), pages 51-60.
    9. Kamranzad, Bahareh & Etemad-Shahidi, Amir & Chegini, Vahid, 2017. "Developing an optimum hotspot identifier for wave energy extracting in the northern Persian Gulf," Renewable Energy, Elsevier, vol. 114(PA), pages 59-71.
    10. Khojasteh, Danial & Khojasteh, Davood & Kamali, Reza & Beyene, Asfaw & Iglesias, Gregorio, 2018. "Assessment of renewable energy resources in Iran; with a focus on wave and tidal energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2992-3005.
    11. Bingölbali, Bilal & Majidi, Ajab Gul & Akpınar, Adem, 2021. "Inter- and intra-annual wave energy resource assessment in the south-western Black Sea coast," Renewable Energy, Elsevier, vol. 169(C), pages 809-819.
    12. Besio, G. & Mentaschi, L. & Mazzino, A., 2016. "Wave energy resource assessment in the Mediterranean Sea on the basis of a 35-year hindcast," Energy, Elsevier, vol. 94(C), pages 50-63.
    13. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2018. "A 33-year hindcast on wave energy assessment in the western French coast," Energy, Elsevier, vol. 165(PB), pages 790-801.
    14. Sierra, Joan Pau & White, Adam & Mösso, Cesar & Mestres, Marc, 2017. "Assessment of the intra-annual and inter-annual variability of the wave energy resource in the Bay of Biscay (France)," Energy, Elsevier, vol. 141(C), pages 853-868.
    15. Ramos, V. & Ringwood, John V., 2016. "Exploring the utility and effectiveness of the IEC (International Electrotechnical Commission) wave energy resource assessment and characterisation standard: A case study," Energy, Elsevier, vol. 107(C), pages 668-682.
    16. Takvor H. Soukissian & Dimitra Denaxa & Flora Karathanasi & Aristides Prospathopoulos & Konstantinos Sarantakos & Athanasia Iona & Konstantinos Georgantas & Spyridon Mavrakos, 2017. "Marine Renewable Energy in the Mediterranean Sea: Status and Perspectives," Energies, MDPI, vol. 10(10), pages 1-56, September.
    17. Fadaeenejad, M. & Shamsipour, R. & Rokni, S.D. & Gomes, C., 2014. "New approaches in harnessing wave energy: With special attention to small islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 345-354.
    18. Francisco Haces-Fernandez & Hua Li & David Ramirez, 2022. "Analysis of Wave Energy Behavior and Its Underlying Reasons in the Gulf of Mexico Based on Computer Animation and Energy Events Concept," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    19. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2014. "Assessment of wave energy in the Canary Islands," Renewable Energy, Elsevier, vol. 68(C), pages 774-784.
    20. Jahangir, Mohammad Hossein & Mazinani, Mehran, 2020. "Evaluation of the convertible offshore wave energy capacity of the southern strip of the Caspian Sea," Renewable Energy, Elsevier, vol. 152(C), pages 331-346.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:196:y:2022:i:c:p:921-945. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.