IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i10p2027-d234676.html
   My bibliography  Save this article

An Energy Potential Estimation Methodology and Novel Prototype Design for Building-Integrated Wind Turbines

Author

Listed:
  • Oscar Garcia

    (ROSEO start-up, University of the Basque Country (UPV/EHU), Alda. Urkijo, 48013 Bilbao, Spain)

  • Alain Ulazia

    (Department of NE and Fluid Mechanics, University of the Basque Country (UPV/EHU), Otaola 29, 20600 Eibar, Spain)

  • Mario del Rio

    (ROSEO start-up, University of the Basque Country (UPV/EHU), Alda. Urkijo, 48013 Bilbao, Spain)

  • Sheila Carreno-Madinabeitia

    (Meteorology Area, Energy and Environment Division, TECNALIA R&I, 01001 Vitoria-Gasteiz, Spain)

  • Andoni Gonzalez-Arceo

    (ROSEO start-up, University of the Basque Country (UPV/EHU), Alda. Urkijo, 48013 Bilbao, Spain)

Abstract

ROSEO-BIWT is a new Building-Integrated Wind Turbine (BIWT) intended for installation on the edge of buildings. It consists of a Savonius wind turbine and guiding vanes to accelerate the usual horizontal wind, together with the vertical upward air stream on the wall. This edge effect improves the performance of the wind turbine, and its architectural integration is also beneficial. The hypothetical performance and design configuration were studied for a university building in Eibar city using wind data from the ERA5 reanalysis (European Centre for Medium-Range Weather Forecasts’ reanalysis), an anemometer to calibrate the data, and the actual small-scale behavior in a wind tunnel. The data acquired by the anemometer show high correlations with the ERA5 data in the direction parallel to the valley, and the calibration is therefore valid. According to the results, a wind speed augmentation factor of three due to the edge effect and concentration vanes would lead to a increase in working hours at the rated power, resulting annually in more than 2000 h.

Suggested Citation

  • Oscar Garcia & Alain Ulazia & Mario del Rio & Sheila Carreno-Madinabeitia & Andoni Gonzalez-Arceo, 2019. "An Energy Potential Estimation Methodology and Novel Prototype Design for Building-Integrated Wind Turbines," Energies, MDPI, vol. 12(10), pages 1-21, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:2027-:d:234676
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/10/2027/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/10/2027/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arkaitz Rabanal & Alain Ulazia & Gabriel Ibarra-Berastegi & Jon Sáenz & Unai Elosegui, 2018. "MIDAS: A Benchmarking Multi-Criteria Method for the Identification of Defective Anemometers in Wind Farms," Energies, MDPI, vol. 12(1), pages 1-19, December.
    2. Mohamed, M.H. & Janiga, G. & Pap, E. & Thévenin, D., 2010. "Optimization of Savonius turbines using an obstacle shielding the returning blade," Renewable Energy, Elsevier, vol. 35(11), pages 2618-2626.
    3. Jeongsu Park & Hyung-Jo Jung & Seung-Woo Lee & Jiyoung Park, 2015. "A New Building-Integrated Wind Turbine System Utilizing the Building," Energies, MDPI, vol. 8(10), pages 1-25, October.
    4. Roy, Sukanta & Saha, Ujjwal K., 2013. "Review on the numerical investigations into the design and development of Savonius wind rotors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 73-83.
    5. Chong, W.T. & Naghavi, M.S. & Poh, S.C. & Mahlia, T.M.I. & Pan, K.C., 2011. "Techno-economic analysis of a wind–solar hybrid renewable energy system with rainwater collection feature for urban high-rise application," Applied Energy, Elsevier, vol. 88(11), pages 4067-4077.
    6. Alain Ulazia & Markel Penalba & Arkaitz Rabanal & Gabriel Ibarra-Berastegi & John Ringwood & Jon Sáenz, 2018. "Historical Evolution of the Wave Resource and Energy Production off the Chilean Coast over the 20th Century," Energies, MDPI, vol. 11(9), pages 1-23, August.
    7. Wong, Kok Hoe & Chong, Wen Tong & Sukiman, Nazatul Liana & Poh, Sin Chew & Shiah, Yui-Chuin & Wang, Chin-Tsan, 2017. "Performance enhancements on vertical axis wind turbines using flow augmentation systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 904-921.
    8. Balduzzi, Francesco & Bianchini, Alessandro & Ferrari, Lorenzo, 2012. "Microeolic turbines in the built environment: Influence of the installation site on the potential energy yield," Renewable Energy, Elsevier, vol. 45(C), pages 163-174.
    9. Altan, Burçin Deda & Atılgan, Mehmet, 2010. "The use of a curtain design to increase the performance level of a Savonius wind rotors," Renewable Energy, Elsevier, vol. 35(4), pages 821-829.
    10. Kim, Sanghyeon & Cheong, Cheolung, 2015. "Development of low-noise drag-type vertical wind turbines," Renewable Energy, Elsevier, vol. 79(C), pages 199-208.
    11. Arteaga-López, Ernesto & Ángeles-Camacho, Cesar & Bañuelos-Ruedas, Francisco, 2019. "Advanced methodology for feasibility studies on building-mounted wind turbines installation in urban environment: Applying CFD analysis," Energy, Elsevier, vol. 167(C), pages 181-188.
    12. Olauson, Jon, 2018. "ERA5: The new champion of wind power modelling?," Renewable Energy, Elsevier, vol. 126(C), pages 322-331.
    13. Usman, Muhammad & Hanif, Asad & Kim, In-Ho & Jung, Hyung-Jo, 2018. "Experimental validation of a novel piezoelectric energy harvesting system employing wake galloping phenomenon for a broad wind spectrum," Energy, Elsevier, vol. 153(C), pages 882-889.
    14. Chong, W.T. & Pan, K.C. & Poh, S.C. & Fazlizan, A. & Oon, C.S. & Badarudin, A. & Nik-Ghazali, N., 2013. "Performance investigation of a power augmented vertical axis wind turbine for urban high-rise application," Renewable Energy, Elsevier, vol. 51(C), pages 388-397.
    15. Penalba, Markel & Ulazia, Alain & Ibarra-Berastegui, Gabriel & Ringwood, John & Sáenz, Jon, 2018. "Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption," Applied Energy, Elsevier, vol. 224(C), pages 205-219.
    16. Akwa, João Vicente & Vielmo, Horácio Antonio & Petry, Adriane Prisco, 2012. "A review on the performance of Savonius wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3054-3064.
    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. Ulazia, Alain & Penalba, Markel & Ibarra-Berastegui, Gabriel & Ringwood, John & Saénz, Jon, 2017. "Wave energy trends over the Bay of Biscay and the consequences for wave energy converters," Energy, Elsevier, vol. 141(C), pages 624-634.
    19. Toja-Silva, Francisco & Lopez-Garcia, Oscar & Peralta, Carlos & Navarro, Jorge & Cruz, Ignacio, 2016. "An empirical–heuristic optimization of the building-roof geometry for urban wind energy exploitation on high-rise buildings," Applied Energy, Elsevier, vol. 164(C), pages 769-794.
    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. Scheaua Fanel Dorel & Goanta Adrian Mihai & Dragan Nicusor, 2021. "Review of Specific Performance Parameters of Vertical Wind Turbine Rotors Based on the SAVONIUS Type," Energies, MDPI, vol. 14(7), pages 1-23, April.
    2. Alain Ulazia & Gabriel Ibarra-Berastegi, 2020. "Problem-Based Learning in University Studies on Renewable Energies: Case of a Laboratory Windpump," Sustainability, MDPI, vol. 12(6), pages 1-15, March.

    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. Wong, Kok Hoe & Chong, Wen Tong & Sukiman, Nazatul Liana & Poh, Sin Chew & Shiah, Yui-Chuin & Wang, Chin-Tsan, 2017. "Performance enhancements on vertical axis wind turbines using flow augmentation systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 904-921.
    2. Arkaitz Rabanal & Alain Ulazia & Gabriel Ibarra-Berastegi & Jon Sáenz & Unai Elosegui, 2018. "MIDAS: A Benchmarking Multi-Criteria Method for the Identification of Defective Anemometers in Wind Farms," Energies, MDPI, vol. 12(1), pages 1-19, December.
    3. Mohammadi, M. & Mohammadi, R. & Ramadan, A. & Mohamed, M.H., 2018. "Numerical investigation of performance refinement of a drag wind rotor using flow augmentation and momentum exchange optimization," Energy, Elsevier, vol. 158(C), pages 592-606.
    4. Montelpare, Sergio & D'Alessandro, Valerio & Zoppi, Andrea & Ricci, Renato, 2018. "Experimental study on a modified Savonius wind rotor for street lighting systems. Analysis of external appendages and elements," Energy, Elsevier, vol. 144(C), pages 146-158.
    5. Kerikous, Emeel & Thévenin, Dominique, 2019. "Optimal shape and position of a thick deflector plate in front of a hydraulic Savonius turbine," Energy, Elsevier, vol. 189(C).
    6. Ulazia, Alain & Saenz-Aguirre, Aitor & Ibarra-Berastegui, Gabriel & Sáenz, Jon & Carreno-Madinabeitia, Sheila & Esnaola, Ganix, 2023. "Performance variations of wave energy converters due to global long-term wave period change (1900–2010)," Energy, Elsevier, vol. 268(C).
    7. Tartuferi, Mariano & D'Alessandro, Valerio & Montelpare, Sergio & Ricci, Renato, 2015. "Enhancement of Savonius wind rotor aerodynamic performance: a computational study of new blade shapes and curtain systems," Energy, Elsevier, vol. 79(C), pages 371-384.
    8. Mohammadi, M. & Lakestani, M. & Mohamed, M.H., 2018. "Intelligent parameter optimization of Savonius rotor using Artificial Neural Network and Genetic Algorithm," Energy, Elsevier, vol. 143(C), pages 56-68.
    9. Noman, Abdullah Al & Tasneem, Zinat & Sahed, Md. Fahad & Muyeen, S.M. & Das, Sajal K. & Alam, Firoz, 2022. "Towards next generation Savonius wind turbine: Artificial intelligence in blade design trends and framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    10. Krzysztof Sobczak & Damian Obidowski & Piotr Reorowicz & Emil Marchewka, 2020. "Numerical Investigations of the Savonius Turbine with Deformable Blades," Energies, MDPI, vol. 13(14), pages 1-20, July.
    11. Carreno-Madinabeitia, Sheila & Ibarra-Berastegi, Gabriel & Sáenz, Jon & Ulazia, Alain, 2021. "Long-term changes in offshore wind power density and wind turbine capacity factor in the Iberian Peninsula (1900–2010)," Energy, Elsevier, vol. 226(C).
    12. Anbarsooz, M. & Amiri, M., 2022. "Towards enhancing the wind energy potential at the built environment: Geometry effects of two adjacent buildings," Energy, Elsevier, vol. 239(PD).
    13. Salleh, Mohd Badrul & Kamaruddin, Noorfazreena M. & Mohamed-Kassim, Zulfaa, 2022. "Experimental investigation on the effects of deflector angles on the power performance of a Savonius turbine for hydrokinetic applications in small rivers," Energy, Elsevier, vol. 247(C).
    14. Mauro, S. & Brusca, S. & Lanzafame, R. & Messina, M., 2019. "CFD modeling of a ducted Savonius wind turbine for the evaluation of the blockage effects on rotor performance," Renewable Energy, Elsevier, vol. 141(C), pages 28-39.
    15. Alom, Nur & Saha, Ujjwal K., 2018. "Performance evaluation of vent-augmented elliptical-bladed savonius rotors by numerical simulation and wind tunnel experiments," Energy, Elsevier, vol. 152(C), pages 277-290.
    16. Pinheiro, E. & Bandeiras, F. & Gomes, M. & Coelho, P. & Fernandes, J., 2019. "Performance analysis of wind generators and PV systems in industrial small-scale applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 392-401.
    17. Ulazia, Alain & Esnaola, Ganix & Serras, Paula & Penalba, Markel, 2020. "On the impact of long-term wave trends on the geometry optimisation of oscillating water column wave energy converters," Energy, Elsevier, vol. 206(C).
    18. Ulazia, Alain & Penalba, Markel & Ibarra-Berastegui, Gabriel & Ringwood, John & Sáenz, Jon, 2019. "Reduction of the capture width of wave energy converters due to long-term seasonal wave energy trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    19. Ducoin, A. & Shadloo, M.S. & Roy, S., 2017. "Direct Numerical Simulation of flow instabilities over Savonius style wind turbine blades," Renewable Energy, Elsevier, vol. 105(C), pages 374-385.
    20. Ricci, Renato & Romagnoli, Roberto & Montelpare, Sergio & Vitali, Daniele, 2016. "Experimental study on a Savonius wind rotor for street lighting systems," Applied Energy, Elsevier, vol. 161(C), pages 143-152.

    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:12:y:2019:i:10:p:2027-:d:234676. 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.