IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v114y2017ipap59-71.html
   My bibliography  Save this article

Developing an optimum hotspot identifier for wave energy extracting in the northern Persian Gulf

Author

Listed:
  • Kamranzad, Bahareh
  • Etemad-Shahidi, Amir
  • Chegini, Vahid

Abstract

This study explores the wave energy assessment in the northern Persian Gulf taking into account the temporal and spatial distributions of wave power. A long-term evaluation of the wave energy resources was performed based on the wave characteristics generated using nested high spatial resolution models in the northern Persian Gulf. The spatial distributions of mean wave power, frequency and monthly variability index were analyzed using the simulated long-term data. Then, by using a newly developed identifier, the optimal locations for further assessment were determined in the western and southern sides of the southwestern corner of the domain, i.e. Boushehr and Asalouyeh, respectively. Wave power was then evaluated in the optimal locations in terms of seasonality and storage of wave energy. The results showed that the differences in the total and exploitable storages of wave energy in Asalouyeh and Boushehr areas are particularly noticeable showing the higher potential of Asalouyeh for wave energy harvesting considering the sustainability of wave energy resources.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:114:y:2017:i:pa:p:59-71
    DOI: 10.1016/j.renene.2017.03.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148117302070
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2017.03.026?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. 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.
    2. Gallagher, Sarah & Tiron, Roxana & Whelan, Eoin & Gleeson, Emily & Dias, Frédéric & McGrath, Ray, 2016. "The nearshore wind and wave energy potential of Ireland: A high resolution assessment of availability and accessibility," Renewable Energy, Elsevier, vol. 88(C), pages 494-516.
    3. 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.
    4. 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.
    5. Saket, A. & Etemad-Shahidi, A., 2012. "Wave energy potential along the northern coasts of the Gulf of Oman, Iran," Renewable Energy, Elsevier, vol. 40(1), pages 90-97.
    6. Neill, Simon P. & Lewis, Matt J. & Hashemi, M. Reza & Slater, Emma & Lawrence, John & Spall, Steven A., 2014. "Inter-annual and inter-seasonal variability of the Orkney wave power resource," Applied Energy, Elsevier, vol. 132(C), pages 339-348.
    7. 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.
    8. Leijon, Mats & Bernhoff, Hans & Berg, Marcus & Ågren, Olov, 2003. "Economical considerations of renewable electric energy production—especially development of wave energy," Renewable Energy, Elsevier, vol. 28(8), pages 1201-1209.
    9. Wang, Zhifeng & Dong, Sheng & Li, Xue & Guedes Soares, C., 2016. "Assessments of wave energy in the Bohai Sea, China," Renewable Energy, Elsevier, vol. 90(C), pages 145-156.
    10. Neill, Simon P. & Hashemi, M. Reza, 2013. "Wave power variability over the northwest European shelf seas," Applied Energy, Elsevier, vol. 106(C), pages 31-46.
    11. 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.
    12. 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.
    13. Henfridsson, Urban & Neimane, Viktoria & Strand, Kerstin & Kapper, Robert & Bernhoff, Hans & Danielsson, Oskar & Leijon, Mats & Sundberg, Jan & Thorburn, Karin & Ericsson, Ellerth & Bergman, Karl, 2007. "Wave energy potential in the Baltic Sea and the Danish part of the North Sea, with reflections on the Skagerrak," Renewable Energy, Elsevier, vol. 32(12), pages 2069-2084.
    14. Guillou, Nicolas & Chapalain, Georges, 2015. "Numerical modelling of nearshore wave energy resource in the Sea of Iroise," Renewable Energy, Elsevier, vol. 83(C), pages 942-953.
    15. Silva, Dina & Bento, A. Rute & Martinho, Paulo & Guedes Soares, C., 2015. "High resolution local wave energy modelling in the Iberian Peninsula," Energy, Elsevier, vol. 91(C), pages 1099-1112.
    16. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
    17. Liang, Bingchen & Fan, Fei & Yin, Zegao & Shi, Hongda & Lee, Dongyong, 2013. "Numerical modelling of the nearshore wave energy resources of Shandong peninsula, China," Renewable Energy, Elsevier, vol. 57(C), pages 330-338.
    18. 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.
    19. 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.
    20. Iglesias, G. & López, M. & Carballo, R. & Castro, A. & Fraguela, J.A. & Frigaard, P., 2009. "Wave energy potential in Galicia (NW Spain)," Renewable Energy, Elsevier, vol. 34(11), pages 2323-2333.
    21. Ponce de León, S. & Orfila, A. & Simarro, G., 2016. "Wave energy in the Balearic Sea. Evolution from a 29 year spectral wave hindcast," Renewable Energy, Elsevier, vol. 85(C), pages 1192-1200.
    22. Portilla, Jesus & Sosa, Jeison & Cavaleri, Luigi, 2013. "Wave energy resources: Wave climate and exploitation," Renewable Energy, Elsevier, vol. 57(C), pages 594-605.
    23. Hadadpour, Sanaz & Etemad-Shahidi, Amir & Jabbari, Ebrahim & Kamranzad, Bahareh, 2014. "Wave energy and hot spots in Anzali port," Energy, Elsevier, vol. 74(C), pages 529-536.
    24. Zhou, Guoqing & Huang, Jingjin & Yue, Tao & Luo, Qingli & Zhang, Guangyun, 2015. "Temporal-spatial distribution of wave energy: A case study of Beibu Gulf, China," Renewable Energy, Elsevier, vol. 74(C), pages 344-356.
    25. Liang, Bingchen & Fan, Fei & Liu, Fushun & Gao, Shanhong & Zuo, Hongyan, 2014. "22-Year wave energy hindcast for the China East Adjacent Seas," Renewable Energy, Elsevier, vol. 71(C), pages 200-207.
    26. Wu, Shuping & Liu, Chuanyu & Chen, Xinping, 2015. "Offshore wave energy resource assessment in the East China Sea," Renewable Energy, Elsevier, vol. 76(C), pages 628-636.
    27. Zhou, Guoqing & Huang, Jingjin & Zhang, Guangyun, 2015. "Evaluation of the wave energy conditions along the coastal waters of Beibu Gulf, China," Energy, Elsevier, vol. 85(C), pages 449-457.
    28. Sanil Kumar, V. & Anoop, T.R., 2015. "Wave energy resource assessment for the Indian shelf seas," Renewable Energy, Elsevier, vol. 76(C), pages 212-219.
    29. 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.
    30. Abbaspour, M. & Rahimi, R., 2011. "Iran atlas of offshore renewable energies," Renewable Energy, Elsevier, vol. 36(1), pages 388-398.
    31. 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.
    32. Alonso, Rodrigo & Solari, Sebastián & Teixeira, Luis, 2015. "Wave energy resource assessment in Uruguay," Energy, Elsevier, vol. 93(P1), pages 683-696.
    33. Monteforte, M. & Lo Re, C. & Ferreri, G.B., 2015. "Wave energy assessment in Sicily (Italy)," Renewable Energy, Elsevier, vol. 78(C), pages 276-287.
    34. Zheng, Chong Wei & Li, Chong Yin, 2015. "Variation of the wave energy and significant wave height in the China Sea and adjacent waters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 381-387.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Mahmoodi, Kumars & Ghassemi, Hassan & Razminia, Abolhassan, 2019. "Temporal and spatial characteristics of wave energy in the Persian Gulf based on the ERA5 reanalysis dataset," Energy, Elsevier, vol. 187(C).
    3. Bahareh Kamranzad & George Lavidas & Kaoru Takara, 2020. "Spatio-Temporal Assessment of Climate Change Impact on Wave Energy Resources Using Various Time Dependent Criteria," Energies, MDPI, vol. 13(3), pages 1-12, February.
    4. Liliana Rusu & Eugen Rusu, 2021. "Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements," Energies, MDPI, vol. 14(2), pages 1-16, January.
    5. Ribeiro, A.S. & deCastro, M. & Costoya, X. & Rusu, Liliana & Dias, J.M. & Gomez-Gesteira, M., 2021. "A Delphi method to classify wave energy resource for the 21st century: Application to the NW Iberian Peninsula," Energy, Elsevier, vol. 235(C).
    6. 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.
    7. Shaobo Yang & Shanhua Duan & Linlin Fan & Chongwei Zheng & Xingfei Li & Hongyu Li & Jianjun Xu & Qiang Wang & Ming Feng, 2019. "10-Year Wind and Wave Energy Assessment in the North Indian Ocean," Energies, MDPI, vol. 12(20), pages 1-16, October.
    8. Choupin, Ophelie & Del Río-Gamero, B. & Schallenberg-Rodríguez, Julieta & Yánez-Rosales, Pablo, 2022. "Integration of assessment-methods for wave renewable energy: Resource and installation feasibility," Renewable Energy, Elsevier, vol. 185(C), pages 455-482.
    9. Rusu, Liliana, 2020. "A projection of the expected wave power in the Black Sea until the end of the 21st century," Renewable Energy, Elsevier, vol. 160(C), pages 136-147.
    10. Kamranzad, Bahareh & Takara, Kaoru, 2020. "A climate-dependent sustainability index for wave energy resources in Northeast Asia," Energy, Elsevier, vol. 209(C).
    11. Shih-Chun Hsiao & Chao-Tzuen Cheng & Tzu-Yin Chang & Wei-Bo Chen & Han-Lun Wu & Jiun-Huei Jang & Lee-Yaw Lin, 2021. "Assessment of Offshore Wave Energy Resources in Taiwan Using Long-Term Dynamically Downscaled Winds from a Third-Generation Reanalysis Product," Energies, MDPI, vol. 14(3), pages 1-25, January.
    12. Erfan Amini & Rojin Asadi & Danial Golbaz & Mahdieh Nasiri & Seyed Taghi Omid Naeeni & Meysam Majidi Nezhad & Giuseppe Piras & Mehdi Neshat, 2021. "Comparative Study of Oscillating Surge Wave Energy Converter Performance: A Case Study for Southern Coasts of the Caspian Sea," Sustainability, MDPI, vol. 13(19), pages 1-21, October.
    13. Lavidas, George, 2020. "Selection index for Wave Energy Deployments (SIWED): A near-deterministic index for wave energy converters," Energy, Elsevier, vol. 196(C).
    14. Shi, Xueli & Liang, Bingchen & Du, Shengtao & Shao, Zhuxiao & Li, Shaowu, 2022. "Wave energy assessment in the China East Adjacent Seas based on a 25-year wave-current interaction numerical simulation," Renewable Energy, Elsevier, vol. 199(C), pages 1381-1407.
    15. Choupin, O. & Pinheiro Andutta, F. & Etemad-Shahidi, A. & Tomlinson, R., 2021. "A decision-making process for wave energy converter and location pairing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    16. Mahmoodi, Kumars & Ghassemi, Hassan & Razminia, Abolhassan, 2020. "Performance assessment of a two-body wave energy converter based on the Persian Gulf wave climate," Renewable Energy, Elsevier, vol. 159(C), pages 519-537.
    17. Nicolas Guillou & George Lavidas & Bahareh Kamranzad, 2023. "Wave Energy in Brittany (France)—Resource Assessment and WEC Performances," Sustainability, MDPI, vol. 15(2), pages 1-27, January.
    18. Shi, Xueli & Liang, Bingchen & Li, Shaowu & Zhao, Jianchun & Wang, Junhui & Wang, Zhenlu, 2024. "Wave energy resource classification system for the China East Adjacent Seas based on multivariate clustering," Energy, Elsevier, vol. 299(C).
    19. Rusu, Liliana, 2019. "Evaluation of the near future wave energy resources in the Black Sea under two climate scenarios," Renewable Energy, Elsevier, vol. 142(C), pages 137-146.
    20. Andrea Farkas & Nastia Degiuli & Ivana Martić, 2019. "Assessment of Offshore Wave Energy Potential in the Croatian Part of the Adriatic Sea and Comparison with Wind Energy Potential," Energies, MDPI, vol. 12(12), pages 1-20, June.
    21. Kamranzad, Bahareh & Lin, Pengzhi, 2020. "Sustainability of wave energy resources in the South China Sea based on five decades of changing climate," Energy, Elsevier, vol. 210(C).

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Liang, Bingchen & Shao, Zhuxiao & Wu, Yajie & Shi, Hongda & Liu, Zhen, 2017. "Numerical study to estimate the wave energy under Wave-Current Interaction in the Qingdao coast, China," Renewable Energy, Elsevier, vol. 101(C), pages 845-855.
    9. 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.
    10. Liang, Bingchen & Shao, Zhuxiao & Wu, Guoxiang & Shao, Meng & Sun, Jinwei, 2017. "New equations of wave energy assessment accounting for the water depth," Applied Energy, Elsevier, vol. 188(C), pages 130-139.
    11. 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.
    12. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
    13. 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.
    14. 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.
    15. Chen, Xinping & Wang, Kaimin & Zhang, Zenghai & Zeng, Yindong & Zhang, Yao & O'Driscoll, Kieran, 2017. "An assessment of wind and wave climate as potential sources of renewable energy in the nearshore Shenzhen coastal zone of the South China Sea," Energy, Elsevier, vol. 134(C), pages 789-801.
    16. 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.
    17. Kamranzad, Bahareh & Hadadpour, Sanaz, 2020. "A multi-criteria approach for selection of wave energy converter/location," Energy, Elsevier, vol. 204(C).
    18. Morim, Joao & Cartwright, Nick & Hemer, Mark & Etemad-Shahidi, Amir & Strauss, Darrell, 2019. "Inter- and intra-annual variability of potential power production from wave energy converters," Energy, Elsevier, vol. 169(C), pages 1224-1241.
    19. Kamranzad, Bahareh & Takara, Kaoru, 2020. "A climate-dependent sustainability index for wave energy resources in Northeast Asia," Energy, Elsevier, vol. 209(C).
    20. Kamranzad, Bahareh & Lin, Pengzhi, 2020. "Sustainability of wave energy resources in the South China Sea based on five decades of changing climate," Energy, Elsevier, vol. 210(C).

    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:114:y:2017:i:pa:p:59-71. 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.