IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i23p6325-d453906.html
   My bibliography  Save this article

Lattice and Tubular Steel Wind Turbine Towers. Comparative Structural Investigation

Author

Listed:
  • Nafsika Stavridou

    (Civil Engineering Department, Steel Structures Laboratory, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece)

  • Efthymios Koltsakis

    (Civil Engineering Department, Steel Structures Laboratory, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece)

  • Charalampos C. Baniotopoulos

    (Civil Engineering Department, University of Birmingham, Birmingham B15 2TT, UK)

Abstract

Renewable energy is expected to experience epic growth in the coming decade, which is reflected in the record new installations since 2010. Wind energy, in particular, has proved its leading role among sustainable energy production means, by the accelerating rise in total installed capacity and by its consistently increasing trend. Taking a closer look at the history of wind power development, it is obvious that it has always been a matter of engineering taller turbines with longer blades. An increase in the tower height means an increase in the material used, thereby, impacting the initial construction cost and the total energy consumed. In the present study, a numerical investigation is carried out in order to actively compare conventional cylindrical shell towers with lattice towers in terms of material use, robustness and environmental impact. Lattice structures are proved to be equivalently competitive to conventional cylindrical solutions since they can be designed to be robust enough while being a much lighter tower in terms of material use. With detailed design, lattice wind turbine towers can constitute the new generation of wind turbine towers.

Suggested Citation

  • Nafsika Stavridou & Efthymios Koltsakis & Charalampos C. Baniotopoulos, 2020. "Lattice and Tubular Steel Wind Turbine Towers. Comparative Structural Investigation," Energies, MDPI, vol. 13(23), pages 1-21, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6325-:d:453906
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/23/6325/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/23/6325/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Varun & Bhat, I.K. & Prakash, Ravi, 2009. "LCA of renewable energy for electricity generation systems--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1067-1073, June.
    2. Blanco, María Isabel, 2009. "The economics of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1372-1382, August.
    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. Charis J. Gantes & Maria Villi Billi & Mahmut Güldogan & Semih Gül, 2021. "A Novel Tripod Concept for Onshore Wind Turbine Towers," Energies, MDPI, vol. 14(18), pages 1-25, September.
    2. Georgios Malliotakis & Panagiotis Alevras & Charalampos Baniotopoulos, 2021. "Recent Advances in Vibration Control Methods for Wind Turbine Towers," Energies, MDPI, vol. 14(22), pages 1-37, November.

    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. Busola D. Akintayo & Oluwafemi E. Ige & Olubayo M. Babatunde & Oludolapo A. Olanrewaju, 2023. "Evaluation and Prioritization of Power-Generating Systems Using a Life Cycle Assessment and a Multicriteria Decision-Making Approach," Energies, MDPI, vol. 16(18), pages 1-18, September.
    2. Hung-Ta Wen & Jau-Huai Lu & Mai-Xuan Phuc, 2021. "Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression," Energies, MDPI, vol. 14(10), pages 1-18, May.
    3. Jin, Xin & Zhang, Zhaolong & Shi, Xiaoqiang & Ju, Wenbin, 2014. "A review on wind power industry and corresponding insurance market in China: Current status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1069-1082.
    4. Abolhosseini, Shahrouz & Heshmati, Almas & Altmann, Jörn, 2014. "A Review of Renewable Energy Supply and Energy Efficiency Technologies," IZA Discussion Papers 8145, Institute of Labor Economics (IZA).
    5. Carnevale, E. & Lombardi, L. & Zanchi, L., 2014. "Life Cycle Assessment of solar energy systems: Comparison of photovoltaic and water thermal heater at domestic scale," Energy, Elsevier, vol. 77(C), pages 434-446.
    6. Emblemsvåg, Jan, 2022. "Wind energy is not sustainable when balanced by fossil energy," Applied Energy, Elsevier, vol. 305(C).
    7. Raphael Calel & Jonathan Colmer & Antoine Dechezleprêtre & Matthieu Glachant, 2021. "Do Carbon Offsets Offset Carbon?," CESifo Working Paper Series 9368, CESifo.
    8. Ayman Al-Quraan & Bashar Al-Mhairat, 2022. "Intelligent Optimized Wind Turbine Cost Analysis for Different Wind Sites in Jordan," Sustainability, MDPI, vol. 14(5), pages 1-24, March.
    9. Mostafa Shaaban & Jürgen Scheffran & Jürgen Böhner & Mohamed S. Elsobki, 2018. "Sustainability Assessment of Electricity Generation Technologies in Egypt Using Multi-Criteria Decision Analysis," Energies, MDPI, vol. 11(5), pages 1-25, May.
    10. Gao, Xiaoxia & Yang, Hongxing & Lu, Lin, 2014. "Study on offshore wind power potential and wind farm optimization in Hong Kong," Applied Energy, Elsevier, vol. 130(C), pages 519-531.
    11. Velo, R. & Osorio, L. & Fernández, M.D. & Rodríguez, M.R., 2014. "An economic analysis of a stand-alone and grid-connected cattle farm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 883-890.
    12. Astariz, S. & Iglesias, G., 2016. "Output power smoothing and reduced downtime period by combined wind and wave energy farms," Energy, Elsevier, vol. 97(C), pages 69-81.
    13. Silva Herran, Diego & Dai, Hancheng & Fujimori, Shinichiro & Masui, Toshihiko, 2016. "Global assessment of onshore wind power resources considering the distance to urban areas," Energy Policy, Elsevier, vol. 91(C), pages 75-86.
    14. Kabir, Md Ruhul & Rooke, Braden & Dassanayake, G.D. Malinga & Fleck, Brian A., 2012. "Comparative life cycle energy, emission, and economic analysis of 100 kW nameplate wind power generation," Renewable Energy, Elsevier, vol. 37(1), pages 133-141.
    15. Dzikuć Maciej, 2015. "Environmental management with the use of LCA in the Polish energy system," Management, Sciendo, vol. 19(1), pages 89-97, May.
    16. Antonio Colmenar-Santos & Severo Campíez-Romero & Lorenzo Alfredo Enríquez-Garcia & Clara Pérez-Molina, 2014. "Simplified Analysis of the Electric Power Losses for On-Shore Wind Farms Considering Weibull Distribution Parameters," Energies, MDPI, vol. 7(11), pages 1-30, October.
    17. Enevoldsen, Peter & Valentine, Scott Victor & Sovacool, Benjamin K., 2018. "Insights into wind sites: Critically assessing the innovation, cost, and performance dynamics of global wind energy development," Energy Policy, Elsevier, vol. 120(C), pages 1-7.
    18. Zhang, Xiaoyue & Huang, Guohe & Liu, Lirong & Li, Kailong, 2022. "Development of a stochastic multistage lifecycle programming model for electric power system planning – A case study for the Province of Saskatchewan, Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    19. Irene Clara Pisón Fernández & Félix Puime Guillén & Miguel Ángel Crespo Cibrán, 2015. "Desarrollo de un modelo de determinación de cash-flows para un proyecto de energía eólica," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 1, pages 1-1, June.
    20. Valentine, Scott Victor, 2010. "A STEP toward understanding wind power development policy barriers in advanced economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2796-2807, December.

    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:13:y:2020:i:23:p:6325-:d:453906. 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.