IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v8y2015i10p11575-11591d57149.html
   My bibliography  Save this article

Estimation of Downtime and of Missed Energy Associated with a Wave Energy Converter by the Equivalent Power Storm Model

Author

Listed:
  • Felice Arena

    (Natural Ocean Engineering Laboratory (NOEL), “Mediterranea” University of Reggio Calabria, Loc. Feo di Vito, Reggio Calabria 89122, Italy
    Wavenergy.it srl. Via F. Baracca Trav. De Salvo 8/A, Reggio Calabria 89123, Italy)

  • Valentina Laface

    (Natural Ocean Engineering Laboratory (NOEL), “Mediterranea” University of Reggio Calabria, Loc. Feo di Vito, Reggio Calabria 89122, Italy
    These authors contributed equally to this work.)

  • Giovanni Malara

    (Natural Ocean Engineering Laboratory (NOEL), “Mediterranea” University of Reggio Calabria, Loc. Feo di Vito, Reggio Calabria 89122, Italy
    Wavenergy.it srl. Via F. Baracca Trav. De Salvo 8/A, Reggio Calabria 89123, Italy
    These authors contributed equally to this work.)

  • Alessandra Romolo

    (Natural Ocean Engineering Laboratory (NOEL), “Mediterranea” University of Reggio Calabria, Loc. Feo di Vito, Reggio Calabria 89122, Italy
    Wavenergy.it srl. Via F. Baracca Trav. De Salvo 8/A, Reggio Calabria 89123, Italy
    These authors contributed equally to this work.)

Abstract

The design of any wave energy converter involves the determination of relevant statistical data on the wave energy resource oriented to the evaluation of the structural reliability and energy performance of the device. Currently, limited discussions concern the estimation of parameters connected to the energy performance of a device. Thus, this paper proposes a methodology for determining average downtime and average missed energy, which is the energy that is not harvested because of device deactivations during severe sea storms. These quantities are fundamental for evaluating the expected inactivity of a device during a year or during its lifetime and are relevant for assessing the effectiveness of a device working at a certain site. For this purpose, the equivalent power storm method is used for their derivation, starting from concepts pertaining to long-term statistical analysis. The paper shows that the proposed solutions provide reliable estimations via comparison with results obtained by processing long wave data.

Suggested Citation

  • Felice Arena & Valentina Laface & Giovanni Malara & Alessandra Romolo, 2015. "Estimation of Downtime and of Missed Energy Associated with a Wave Energy Converter by the Equivalent Power Storm Model," Energies, MDPI, vol. 8(10), pages 1-17, October.
  • Handle: RePEc:gam:jeners:v:8:y:2015:i:10:p:11575-11591:d:57149
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/8/10/11575/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/8/10/11575/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arena, Felice & Laface, Valentina & Malara, Giovanni & Romolo, Alessandra & Viviano, Antonino & Fiamma, Vincenzo & Sannino, Gianmaria & Carillo, Adriana, 2015. "Wave climate analysis for the design of wave energy harvesters in the Mediterranean Sea," Renewable Energy, Elsevier, vol. 77(C), pages 125-141.
    2. Iglesias, G. & Carballo, R., 2009. "Wave energy potential along the Death Coast (Spain)," Energy, Elsevier, vol. 34(11), pages 1963-1975.
    3. 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.
    4. 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.
    5. Dina Silva & Eugen Rusu & Carlos Guedes Soares, 2013. "Evaluation of Various Technologies for Wave Energy Conversion in the Portuguese Nearshore," Energies, MDPI, vol. 6(3), pages 1-21, March.
    6. Stopa, Justin E. & Cheung, Kwok Fai & Chen, Yi-Leng, 2011. "Assessment of wave energy resources in Hawaii," Renewable Energy, Elsevier, vol. 36(2), pages 554-567.
    7. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2009. "Wave power potential along the Atlantic coast of the southeastern USA," Renewable Energy, Elsevier, vol. 34(10), pages 2197-2205.
    8. Lenee-Bluhm, Pukha & Paasch, Robert & Özkan-Haller, H. Tuba, 2011. "Characterizing the wave energy resource of the US Pacific Northwest," Renewable Energy, Elsevier, vol. 36(8), pages 2106-2119.
    9. Kim, Gunwoo & Jeong, Weon Mu & Lee, Kwang Soo & Jun, Kicheon & Lee, Myung Eun, 2011. "Offshore and nearshore wave energy assessment around the Korean Peninsula," Energy, Elsevier, vol. 36(3), pages 1460-1469.
    10. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad & Zhang, Xiliang, 2011. "Potential of renewable energy systems in China," Applied Energy, Elsevier, vol. 88(2), pages 518-525, February.
    11. 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.
    12. Iglesias, G. & Carballo, R., 2010. "Offshore and inshore wave energy assessment: Asturias (N Spain)," Energy, Elsevier, vol. 35(5), pages 1964-1972.
    13. Iglesias, G. & Carballo, R., 2010. "Wave energy resource in the Estaca de Bares area (Spain)," Renewable Energy, Elsevier, vol. 35(7), pages 1574-1584.
    14. Liliana Rusu, 2015. "Assessment of the Wave Energy in the Black Sea Based on a 15-Year Hindcast with Data Assimilation," Energies, MDPI, vol. 8(9), pages 1-19, September.
    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. Eelsalu, Maris & Montoya, Rubén D. & Aramburo, Darwin & Osorio, Andrés F. & Soomere, Tarmo, 2024. "Spatial and temporal variability of wave energy resource in the eastern Pacific from Panama to the Drake passage," Renewable Energy, Elsevier, vol. 224(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. 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.
    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. 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.
    4. Iglesias, G. & Carballo, R., 2014. "Wave farm impact: The role of farm-to-coast distance," Renewable Energy, Elsevier, vol. 69(C), pages 375-385.
    5. 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.
    6. 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.
    7. Yong Wan & Chenqing Fan & Jie Zhang & Junmin Meng & Yongshou Dai & Ligang Li & Weifeng Sun & Peng Zhou & Jing Wang & Xudong Zhang, 2017. "Wave Energy Resource Assessment off the Coast of China around the Zhoushan Islands," Energies, MDPI, vol. 10(9), pages 1-25, September.
    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. 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.
    10. Wan, Yong & Zheng, Chongwei & Li, Ligang & Dai, Yongshou & Esteban, M. Dolores & López-Gutiérrez, José-Santos & Qu, Xiaojun & Zhang, Xiaoyu, 2020. "Wave energy assessment related to wave energy convertors in the coastal waters of China," Energy, Elsevier, vol. 202(C).
    11. Akpınar, Adem & Kömürcü, Murat İhsan, 2012. "Wave energy potential along the south-east coasts of the Black Sea," Energy, Elsevier, vol. 42(1), pages 289-302.
    12. Memmola, Francesco & Contestabile, Pasquale & Falco, Pierpaolo & Brocchini, Maurizio, 2024. "Test Reference Year for wave energy studies: Generation and validation," Renewable Energy, Elsevier, vol. 224(C).
    13. Akpınar, Adem & Kömürcü, Murat İhsan, 2013. "Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data," Applied Energy, Elsevier, vol. 101(C), pages 502-512.
    14. Mustapa, M.A. & Yaakob, O.B. & Ahmed, Yasser M. & Rheem, Chang-Kyu & Koh, K.K. & Adnan, Faizul Amri, 2017. "Wave energy device and breakwater integration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 43-58.
    15. 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.
    16. Astariz, S. & Iglesias, G., 2015. "The economics of wave energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 397-408.
    17. 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.
    18. 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.
    19. 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.
    20. 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.

    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:gam:jeners:v:8:y:2015:i:10:p:11575-11591:d:57149. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.