IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v185y2017ip2p1292-1302.html
   My bibliography  Save this article

Lcoe evaluation for a tidal kinetic self balancing turbine: Case study and comparison

Author

Listed:
  • Lo Zupone, Giacomo
  • Amelio, Mario
  • Barbarelli, Silvio
  • Florio, Gaetano
  • Scornaienchi, Nino Michele
  • Cutrupi, Antonino

Abstract

In the 2009, the team DIMEG (Department of Mechanical, Energetic and Management Engineering) and SintEnergy srl begun several studies for developing an innovative kinetic turbine working on tidal currents. The machine had to be easy to realize and install, but, at same time, able to capture the maximum allowable energy from the tidal flow even with low speeds and bidirectional currents.

Suggested Citation

  • Lo Zupone, Giacomo & Amelio, Mario & Barbarelli, Silvio & Florio, Gaetano & Scornaienchi, Nino Michele & Cutrupi, Antonino, 2017. "Lcoe evaluation for a tidal kinetic self balancing turbine: Case study and comparison," Applied Energy, Elsevier, vol. 185(P2), pages 1292-1302.
  • Handle: RePEc:eee:appene:v:185:y:2017:i:p2:p:1292-1302
    DOI: 10.1016/j.apenergy.2016.01.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916000349
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2016.01.015?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. Barbarelli, S. & Florio, G. & Amelio, M. & Scornaienchi, N.M. & Cutrupi, A. & Lo Zupone, G., 2014. "Design procedure of an innovative turbine with rotors rotating in opposite directions for the exploitation of the tidal currents," Energy, Elsevier, vol. 77(C), pages 254-264.
    2. Barbarelli, S. & Florio, G. & Amelio, M. & Scornaienchi, N.M. & Cutrupi, A. & Lo Zupone, G., 2015. "Transients analysis of a tidal currents self-balancing kinetic turbine with floating stabilizer," Applied Energy, Elsevier, vol. 160(C), pages 715-727.
    3. Velázquez, Sergio & Carta, José A. & Matías, J.M., 2011. "Comparison between ANNs and linear MCP algorithms in the long-term estimation of the cost per kWh produced by a wind turbine at a candidate site: A case study in the Canary Islands," Applied Energy, Elsevier, vol. 88(11), pages 3869-3881.
    4. Esteban, Miguel & Leary, David, 2012. "Current developments and future prospects of offshore wind and ocean energy," Applied Energy, Elsevier, vol. 90(1), pages 128-136.
    5. Amelio, Mario & Barbarelli, Silvio & Florio, Gaetano & Scornaienchi, Nino Michele & Minniti, Giovanni & Cutrupi, Antonino & Sánchez-Blanco, Manuel, 2012. "Innovative tidal turbine with central deflector for the exploitation of river and sea currents in on-shore installations," Applied Energy, Elsevier, vol. 97(C), pages 944-955.
    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. Si, Yulin & Liu, Xiaodong & Wang, Tao & Feng, Bo & Qian, Peng & Ma, Yong & Zhang, Dahai, 2022. "State-of-the-art review and future trends of development of tidal current energy converters in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    2. Barbarelli, S. & Florio, G. & Amelio, M. & Scornaienchi, N.M., 2018. "Preliminary performance assessment of a novel on-shore system recovering energy from tidal currents," Applied Energy, Elsevier, vol. 224(C), pages 717-730.
    3. Sen Guo & Huiru Zhao & Haoran Zhao, 2017. "The Most Economical Mode of Power Supply for Remote and Less Developed Areas in China: Power Grid Extension or Micro-Grid?," Sustainability, MDPI, vol. 9(6), pages 1-18, May.
    4. Qian, Peng & Feng, Bo & Liu, Hao & Tian, Xiange & Si, Yulin & Zhang, Dahai, 2019. "Review on configuration and control methods of tidal current turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 125-139.
    5. Umberto Di Matteo & Benedetto Nastasi & Angelo Albo & Davide Astiaso Garcia, 2017. "Energy Contribution of OFMSW (Organic Fraction of Municipal Solid Waste) to Energy-Environmental Sustainability in Urban Areas at Small Scale," Energies, MDPI, vol. 10(2), pages 1-13, February.
    6. Li, Ming & Luo, Haojie & Zhou, Shijie & Senthil Kumar, Gokula Manikandan & Guo, Xinman & Law, Tin Chung & Cao, Sunliang, 2022. "State-of-the-art review of the flexibility and feasibility of emerging offshore and coastal ocean energy technologies in East and Southeast Asia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    7. Chen, Yaling & Lin, Binliang & Lin, Jie & Wang, Shujie, 2017. "Experimental study of wake structure behind a horizontal axis tidal stream turbine," Applied Energy, Elsevier, vol. 196(C), pages 82-96.
    8. Tazi, Nacef & Safaei, Fatemeh & Hnaien, Faicel, 2022. "Assessment of the levelized cost of energy using a stochastic model," Energy, Elsevier, vol. 238(PB).
    9. Barbarelli, Silvio & Florio, Gaetano & Lo Zupone, Giacomo & Scornaienchi, Nino Michele, 2018. "First techno-economic evaluation of array configuration of self-balancing tidal kinetic turbines," Renewable Energy, Elsevier, vol. 129(PA), pages 183-200.

    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. Barbarelli, Silvio & Florio, Gaetano & Lo Zupone, Giacomo & Scornaienchi, Nino Michele, 2018. "First techno-economic evaluation of array configuration of self-balancing tidal kinetic turbines," Renewable Energy, Elsevier, vol. 129(PA), pages 183-200.
    2. Barbarelli, S. & Florio, G. & Amelio, M. & Scornaienchi, N.M. & Cutrupi, A. & Lo Zupone, G., 2015. "Transients analysis of a tidal currents self-balancing kinetic turbine with floating stabilizer," Applied Energy, Elsevier, vol. 160(C), pages 715-727.
    3. Barbarelli, S. & Florio, G. & Amelio, M. & Scornaienchi, N.M., 2018. "Preliminary performance assessment of a novel on-shore system recovering energy from tidal currents," Applied Energy, Elsevier, vol. 224(C), pages 717-730.
    4. Huang, Sy-Ruen & Chen, Hong-Tai & Chung, Chih-Hung & Chu, Chen-Yeon & Li, Gung-Ching & Wu, Chueh-Cheng, 2012. "Multivariable direct-drive linear generators for wave energy," Applied Energy, Elsevier, vol. 100(C), pages 112-117.
    5. Li, Hui & Wang, LiGuo, 2023. "Numerical study on self-power supply of large marine monitoring buoys: Wave-excited vibration energy harvesting and harvester optimization," Energy, Elsevier, vol. 285(C).
    6. Hammar, Linus & Ehnberg, Jimmy & Mavume, Alberto & Cuamba, Boaventura C. & Molander, Sverker, 2012. "Renewable ocean energy in the Western Indian Ocean," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4938-4950.
    7. Xiao Liu & Xu Lai & Jin Zou, 2017. "A New MCP Method of Wind Speed Temporal Interpolation and Extrapolation Considering Wind Speed Mixed Uncertainty," Energies, MDPI, vol. 10(8), pages 1-21, August.
    8. Chen, Weixing & Zhou, Boen & Huang, Hao & Lu, Yunfei & Li, Shaoxun & Gao, Feng, 2022. "Design, modeling and performance analysis of a deployable WEC for ocean robots," Applied Energy, Elsevier, vol. 327(C).
    9. Wang, Guohui & Yang, Yanan & Wang, Shuxin & Zhang, Hongwei & Wang, Yanhui, 2019. "Efficiency analysis and experimental validation of the ocean thermal energy conversion with phase change material for underwater vehicle," Applied Energy, Elsevier, vol. 248(C), pages 475-488.
    10. Alain Ulazia & Ander Nafarrate & Gabriel Ibarra-Berastegi & Jon Sáenz & Sheila Carreno-Madinabeitia, 2019. "The Consequences of Air Density Variations over Northeastern Scotland for Offshore Wind Energy Potential," Energies, MDPI, vol. 12(13), pages 1-18, July.
    11. Koo, Junmo & Han, Gwon Deok & Choi, Hyung Jong & Shim, Joon Hyung, 2015. "Wind-speed prediction and analysis based on geological and distance variables using an artificial neural network: A case study in South Korea," Energy, Elsevier, vol. 93(P2), pages 1296-1302.
    12. Castro-Santos, Laura & Martins, Elson & Guedes Soares, C., 2017. "Economic comparison of technological alternatives to harness offshore wind and wave energies," Energy, Elsevier, vol. 140(P1), pages 1121-1130.
    13. Zeyringer, Marianne & Fais, Birgit & Keppo, Ilkka & Price, James, 2018. "The potential of marine energy technologies in the UK – Evaluation from a systems perspective," Renewable Energy, Elsevier, vol. 115(C), pages 1281-1293.
    14. Bonou, Alexandra & Laurent, Alexis & Olsen, Stig I., 2016. "Life cycle assessment of onshore and offshore wind energy-from theory to application," Applied Energy, Elsevier, vol. 180(C), pages 327-337.
    15. Tao Luo & De Tian & Ruoyu Wang & Caicai Liao, 2018. "Stochastic Dynamic Response Analysis of a 10 MW Tension Leg Platform Floating Horizontal Axis Wind Turbine," Energies, MDPI, vol. 11(12), pages 1-24, November.
    16. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    17. Ulazia, Alain & Saenz, Jon & Ibarra-Berastegui, Gabriel, 2016. "Sensitivity to the use of 3DVAR data assimilation in a mesoscale model for estimating offshore wind energy potential. A case study of the Iberian northern coastline," Applied Energy, Elsevier, vol. 180(C), pages 617-627.
    18. Kang, Dongbum & Ko, Kyungnam & Huh, Jongchul, 2015. "Determination of extreme wind values using the Gumbel distribution," Energy, Elsevier, vol. 86(C), pages 51-58.
    19. Weekes, S.M. & Tomlin, A.S. & Vosper, S.B. & Skea, A.K. & Gallani, M.L. & Standen, J.J., 2015. "Long-term wind resource assessment for small and medium-scale turbines using operational forecast data and measure–correlate–predict," Renewable Energy, Elsevier, vol. 81(C), pages 760-769.
    20. Jeon, Jooyoung & Taylor, James W., 2016. "Short-term density forecasting of wave energy using ARMA-GARCH models and kernel density estimation," International Journal of Forecasting, Elsevier, vol. 32(3), pages 991-1004.

    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:appene:v:185:y:2017:i:p2:p:1292-1302. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.