IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v211y2023icp743-760.html
   My bibliography  Save this article

Mechatronics-enabled harvesting of polarized wind kinetic energy through novel bio-mimetic swaying devices

Author

Listed:
  • Miraglia, Marco
  • Romano, Donato
  • Camboni, Domenico
  • Inglese, Francesco
  • Oddo, Calogero Maria
  • Stefanini, Cesare

Abstract

One of the most severe problems of the world is represented by climate change and its relevant negative consequences on the environment. To tackle future environmental changes, it is imperative to modify current technologies of energy generation, since traditional generation techniques, such as coal-burning and the combustion of gases and petroleum derivatives, have detrimental effects on the environment. In this research study, a bio-mimetic system for polarized wind energy harvesting was designed and manufactured, suitable to be installed besides roads and streets to exploit both the wind flow generated by traffic and the natural wind flow. Through an essential kinematic that is devoid of any auxiliary system and that exploits the electromagnetic induction principle, authors aimed at obtaining higher efficiencies with respect to the very low values that characterize rotary turbines. The final product was supposed to resemble a leaf swaying under the action of the wind flow. It is referred to as Smart Leaf. Here, four Leaves are connected in parallel, forming a Four-Leaf Smart Bush. A mathematical model of the Leaf swaying dynamic and of the electromagnetic induction principle is illustrated. The Smart Bush performances are assessed through experimental tests, both at an Eolic generator and on field. The Eolic generator is exploited to reproduce the principal wind profiles due to traffic and to natural air motion in order to identify the most appropriate urban and sub-urban contexts as installation sites for the Smart Bush. Based on the experimental results, an efficiency much lower than rotary axial devices has been estimated. Finally, a technology demonstrator is assembled to monitor air pollution by means of sensors powered by the Smart Bush. When the accumulated electric energy is enough, the software detects air composition and shoes the results on a dedicated display. Future developments will mainly regard the development and implementation of a voltage amplifier circuit and the design of a more refined electronics in general.

Suggested Citation

  • Miraglia, Marco & Romano, Donato & Camboni, Domenico & Inglese, Francesco & Oddo, Calogero Maria & Stefanini, Cesare, 2023. "Mechatronics-enabled harvesting of polarized wind kinetic energy through novel bio-mimetic swaying devices," Renewable Energy, Elsevier, vol. 211(C), pages 743-760.
  • Handle: RePEc:eee:renene:v:211:y:2023:i:c:p:743-760
    DOI: 10.1016/j.renene.2023.02.135
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123002860
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2023.02.135?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. Korotkevich, Alexander O. & Galochkina, Zhanna S. & Lavrova, Olga & Coutsias, Evangelos A., 2015. "On the comparison of energy sources: Feasibility of radio frequency and ambient light harvesting," Renewable Energy, Elsevier, vol. 81(C), pages 804-807.
    2. Ma, Yichao & Wang, Pixiang & Wang, Yi & Liu, Shaoyang & Wang, Qichen & Wang, Yifen, 2020. "Fermentable sugar production from wet microalgae residual after biodiesel production assisted by radio frequency heating," Renewable Energy, Elsevier, vol. 155(C), pages 827-836.
    3. Dai, Kaoshan & Bergot, Anthony & Liang, Chao & Xiang, Wei-Ning & Huang, Zhenhua, 2015. "Environmental issues associated with wind energy – A review," Renewable Energy, Elsevier, vol. 75(C), pages 911-921.
    4. Shaikh, Faisal Karim & Zeadally, Sherali, 2016. "Energy harvesting in wireless sensor networks: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1041-1054.
    5. Zoellner, Jan & Schweizer-Ries, Petra & Wemheuer, Christin, 2008. "Public acceptance of renewable energies: Results from case studies in Germany," Energy Policy, Elsevier, vol. 36(11), pages 4136-4141, November.
    6. Tian, Wenlong & Mao, Zhaoyong & An, Xinyu & Zhang, Baoshou & Wen, Haibing, 2017. "Numerical study of energy recovery from the wakes of moving vehicles on highways by using a vertical axis wind turbine," Energy, Elsevier, vol. 141(C), pages 715-728.
    7. Inglesi-Lotz, Roula, 2016. "The impact of renewable energy consumption to economic growth: A panel data application," Energy Economics, Elsevier, vol. 53(C), pages 58-63.
    8. Hao, Daning & Qi, Lingfei & Tairab, Alaeldin M. & Ahmed, Ammar & Azam, Ali & Luo, Dabing & Pan, Yajia & Zhang, Zutao & Yan, Jinyue, 2022. "Solar energy harvesting technologies for PV self-powered applications: A comprehensive review," Renewable Energy, Elsevier, vol. 188(C), pages 678-697.
    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. Yang, Chen & Xue, RuiPu & Li, Xu & Zhang, XiaoQing & Wu, ZhenYu, 2020. "Power performance of solar energy harvesting system under typical indoor light sources," Renewable Energy, Elsevier, vol. 161(C), pages 836-845.
    2. Suškevičs, M. & Eiter, S. & Martinat, S. & Stober, D. & Vollmer, E. & de Boer, C.L. & Buchecker, M., 2019. "Regional variation in public acceptance of wind energy development in Europe: What are the roles of planning procedures and participation?," Land Use Policy, Elsevier, vol. 81(C), pages 311-323.
    3. Karakislak, Irmak & Schneider, Nina, 2023. "The mayor said so? The impact of local political figures and social norms on local responses to wind energy projects," Energy Policy, Elsevier, vol. 176(C).
    4. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    5. Ana María González & Harrison Sandoval & Pilar Acosta & Felipe Henao, 2016. "On the Acceptance and Sustainability of Renewable Energy Projects—A Systems Thinking Perspective," Sustainability, MDPI, vol. 8(11), pages 1-21, November.
    6. Tampakis, Stilianos & Arabatzis, Garyfallos & Tsantopoulos, Georgios & Rerras, Ioannis, 2017. "Citizens’ views on electricity use, savings and production from renewable energy sources: A case study from a Greek island," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 39-49.
    7. Sunčana Slijepčević & Željka Kordej-De Villa, 2021. "Public Attitudes toward Renewable Energy in Croatia," Energies, MDPI, vol. 14(23), pages 1-17, December.
    8. Caporale, Diana & Sangiorgio, Valentino & Amodio, Alessandro & De Lucia, Caterina, 2020. "Multi-criteria and focus group analysis for social acceptance of wind energy," Energy Policy, Elsevier, vol. 140(C).
    9. Landeta-Manzano, Beñat & Arana-Landín, Germán & Calvo, Pilar M. & Heras-Saizarbitoria, Iñaki, 2018. "Wind energy and local communities: A manufacturer’s efforts to gain acceptance," Energy Policy, Elsevier, vol. 121(C), pages 314-324.
    10. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    11. Anne-Maree Dowd & Michelle Rodriguez & Talia Jeanneret, 2015. "Social Science Insights for the BioCCS Industry," Energies, MDPI, vol. 8(5), pages 1-19, May.
    12. Koecklin, Manuel Tong & Longoria, Genaro & Fitiwi, Desta Z. & DeCarolis, Joseph F. & Curtis, John, 2021. "Public acceptance of renewable electricity generation and transmission network developments: Insights from Ireland," Energy Policy, Elsevier, vol. 151(C).
    13. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    14. Mahzouni, Arian, 2019. "The role of institutional entrepreneurship in emerging energy communities: The town of St. Peter in Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 297-308.
    15. Sun, J. & Wen, W. & Wang, M. & Zhou, P., 2022. "Optimizing the provincial target allocation scheme of renewable portfolio standards in China," Energy, Elsevier, vol. 250(C).
    16. Oosthuizen, Anna Maria & Inglesi-Lotz, Roula & Thopil, George Alex, 2022. "The relationship between renewable energy and retail electricity prices: Panel evidence from OECD countries," Energy, Elsevier, vol. 238(PB).
    17. Mara Madaleno & Manuel Carlos Nogueira, 2023. "How Renewable Energy and CO 2 Emissions Contribute to Economic Growth, and Sustainability—An Extensive Analysis," Sustainability, MDPI, vol. 15(5), pages 1-15, February.
    18. Gardt Manuel & Broekel Tom & Gareis Philipp & Litmeyer Marie-Louise, 2018. "Einfluss von Windenergieanlagen auf die Entwicklung des Tourismus in Hessen," ZFW – Advances in Economic Geography, De Gruyter, vol. 62(1), pages 46-64, March.
    19. Riza Radmehr & Samira Shayanmehr & Ernest Baba Ali & Elvis Kwame Ofori & Elżbieta Jasińska & Michał Jasiński, 2022. "Exploring the Nexus of Renewable Energy, Ecological Footprint, and Economic Growth through Globalization and Human Capital in G7 Economics," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    20. Muhammad, Gul & Potchamyou Ngatcha, Ange Douglas & Lv, Yongkun & Xiong, Wenlong & El-Badry, Yaser A. & Asmatulu, Eylem & Xu, Jingliang & Alam, Md Asraful, 2022. "Enhanced biodiesel production from wet microalgae biomass optimized via response surface methodology and artificial neural network," Renewable Energy, Elsevier, vol. 184(C), pages 753-764.

    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:211:y:2023:i:c:p:743-760. 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.