IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i4p1362-d1334164.html

Assessment of Urban Wind Potential and the Stakeholders Involved in Energy Decision-Making

Author

Listed:
  • Alexander Vallejo Díaz

    (Instituto Especializado de Estudios Superiores Loyola, San Cristóbal 91000, Dominican Republic
    Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic)

  • Idalberto Herrera Moya

    (Instituto Especializado de Estudios Superiores Loyola, San Cristóbal 91000, Dominican Republic
    Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic
    Facultad de Ingeniería Mecánica e Industrial, Universidad Central “Marta Abreu” de Las Villas (UCLV), Santa Clara 54830, Cuba)

  • Edwin Garabitos Lara

    (Instituto Especializado de Estudios Superiores Loyola, San Cristóbal 91000, Dominican Republic)

  • Cándida K. Casilla Victorino

    (Instituto Especializado de Estudios Superiores Loyola, San Cristóbal 91000, Dominican Republic)

Abstract

Urban wind energy has emerged as an attractive source of distributed generation in cities to achieve sustainable development goals. The advancement in technologies for the use of urban wind energy has offered an alternative for the decarbonization of cities and the energy transition. The objectives of this work are (1) to identify the potential of wind energy through numerical weather prediction (NWP) data tools and (2) to identify the roles and responsibilities of the stakeholders involved in the decision-making process. A methodology was developed in two phases and applied to a case study in the Dominican Republic. The first phase consisted of estimating the wind energy potential for the 32 provinces at a height of 10 m using open access NWP tools provided by NASA. In the second phase, 28 stakeholders were identified through snowball sampling. The Responsible, Accountable, Consulted, and Informed (RACI) matrix tool was applied to identify the roles of the 28 institutions addressed at the country level as relevant in the decision-making process for the energy sector. The annual average wind speed and energy potential for each province were determined. It was found that 24 provinces have poor potentials, below <4.5 m/s. In the northwest and east is where there is the greatest potential, between 4.83 and 6.63 m/s. The population density was established, and it was observed that the provinces with greater potential are less densely populated. Through 59 interviews, 28 institutions were identified and evaluated due to their relevance in decision making for the implementation of energy projects. According to the RACI matrix, the Ministry of Energy and Mines has been categorized as “A”, electricity distribution companies as “R”, energy associations and universities as “C”, and educational and justice institutions as “I”.

Suggested Citation

  • Alexander Vallejo Díaz & Idalberto Herrera Moya & Edwin Garabitos Lara & Cándida K. Casilla Victorino, 2024. "Assessment of Urban Wind Potential and the Stakeholders Involved in Energy Decision-Making," Sustainability, MDPI, vol. 16(4), pages 1-20, February.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:4:p:1362-:d:1334164
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/4/1362/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/4/1362/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fan, Xiantao & Ge, Mingwei & Tan, Wei & Li, Qi, 2021. "Impacts of coexisting buildings and trees on the performance of rooftop wind turbines: An idealized numerical study," Renewable Energy, Elsevier, vol. 177(C), pages 164-180.
    2. Wang, Qiang & Wang, Jianwen & Hou, Yali & Yuan, Renyu & Luo, Kun & Fan, Jianren, 2018. "Micrositing of roof mounting wind turbine in urban environment: CFD simulations and lidar measurements," Renewable Energy, Elsevier, vol. 115(C), pages 1118-1133.
    3. Karkowska, Renata & Urjasz, Szczepan, 2023. "How does the Russian-Ukrainian war change connectedness and hedging opportunities? Comparison between dirty and clean energy markets versus global stock indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    4. KC, Anup & Whale, Jonathan & Urmee, Tania, 2019. "Urban wind conditions and small wind turbines in the built environment: A review," Renewable Energy, Elsevier, vol. 131(C), pages 268-283.
    5. Michael G. Pollitt, 2015. "In Search of 'Good' Energy Policy: The Social Limits to Technological Solutions to Energy and Climate Problems," Working Papers EPRG 1520, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    6. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
    7. Gualtieri, Giovanni & Secci, Sauro, 2011. "Wind shear coefficients, roughness length and energy yield over coastal locations in Southern Italy," Renewable Energy, Elsevier, vol. 36(3), pages 1081-1094.
    8. Satya Widya Yudha & Benny Tjahjono, 2019. "Stakeholder Mapping and Analysis of the Renewable Energy Industry in Indonesia," Energies, MDPI, vol. 12(4), pages 1-19, February.
    9. Schlindwein, L.F. & Montalvo, C., 2023. "Energy citizenship: Accounting for the heterogeneity of human behaviours within energy transition," Energy Policy, Elsevier, vol. 180(C).
    10. Simões, Teresa & Estanqueiro, Ana, 2016. "A new methodology for urban wind resource assessment," Renewable Energy, Elsevier, vol. 89(C), pages 598-605.
    11. Alice Altissimo, 2016. "Combining Egocentric Network Maps and Narratives: An Applied Analysis of Qualitative Network Map Interviews," Sociological Research Online, , vol. 21(2), pages 152-164, May.
    12. Read, Laura & Madani, Kaveh & Mokhtari, Soroush & Hanks, Catherine, 2017. "Stakeholder-driven multi-attribute analysis for energy project selection under uncertainty," Energy, Elsevier, vol. 119(C), pages 744-753.
    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. Hirmer, S.A. & George-Williams, H. & Rhys, J. & McNicholl, D. & McCulloch, M., 2021. "Stakeholder decision-making: Understanding Sierra Leone's energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    2. Ruoping Chu & Kai Wang, 2025. "CFD in Urban Wind Resource Assessments: A Review," Energies, MDPI, vol. 18(10), pages 1-21, May.
    3. Li, Jiale & Wang, Xuefei & Yu, Xiong (Bill), 2018. "Use of spatio-temporal calibrated wind shear model to improve accuracy of wind resource assessment," Applied Energy, Elsevier, vol. 213(C), pages 469-485.
    4. N. Aravindhan & M. P. Natarajan & S. Ponnuvel & P.K. Devan, 2023. "Recent developments and issues of small-scale wind turbines in urban residential buildings- A review," Energy & Environment, , vol. 34(4), pages 1142-1169, June.
    5. Abdel-razak, Mahmoud H. & Emam, Mohamed & Ookawara, Shinichi & Hassan, Hamdy, 2026. "Study the performance of a novel design of twin hybrid Darrieus-Savonius vertical-axis wind turbines integrated with building water storage tanks: 3D optimization study," Renewable Energy, Elsevier, vol. 256(PB).
    6. He, J.Y. & Chan, P.W. & Li, Q.S. & Huang, Tao & Yim, Steve Hung Lam, 2024. "Assessment of urban wind energy resource in Hong Kong based on multi-instrument observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    7. Sarah Jamal Mattar & Mohammad Reza Kavian Nezhad & Michael Versteege & Carlos F. Lange & Brian A. Fleck, 2021. "Validation Process for Rooftop Wind Regime CFD Model in Complex Urban Environment Using an Experimental Measurement Campaign," Energies, MDPI, vol. 14(9), pages 1-19, April.
    8. Juan, Yu-Hsuan & Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert & Wen, Chih-Yung & Yang, An-Shik, 2022. "CFD assessment of wind energy potential for generic high-rise buildings in close proximity: Impact of building arrangement and height," Applied Energy, Elsevier, vol. 321(C).
    9. Đurišić, Željko & Mikulović, Jovan, 2012. "Assessment of the wind energy resource in the South Banat region, Serbia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3014-3023.
    10. Juan, Yu-Hsuan & Wen, Chih-Yung & Li, Zhengtong & Yang, An-Shik, 2021. "Impacts of urban morphology on improving urban wind energy potential for generic high-rise building arrays," Applied Energy, Elsevier, vol. 299(C).
    11. Isabel Cristina Gil-García & María Socorro García-Cascales & Angel Molina-García, 2022. "Urban Wind: An Alternative for Sustainable Cities," Energies, MDPI, vol. 15(13), pages 1-20, June.
    12. Aliashim Albani & Mohd Zamri Ibrahim, 2017. "Wind Energy Potential and Power Law Indexes Assessment for Selected Near-Coastal Sites in Malaysia," Energies, MDPI, vol. 10(3), pages 1-21, March.
    13. Alina Wilke & Paul J.J. Welfens, 2020. "Urban Wind Energy Production Potential: New Opportunities," EIIW Discussion paper disbei287, Universitätsbibliothek Wuppertal, University Library.
    14. Zhang, Shuaibin & Du, Bowen & Ge, Mingwei & Zuo, Yingtao, 2022. "Study on the operation of small rooftop wind turbines and its effect on the wind environment in blocks," Renewable Energy, Elsevier, vol. 183(C), pages 708-718.
    15. Arteaga-López, Ernesto & Angeles-Camacho, César, 2021. "Innovative virtual computational domain based on wind rose diagrams for micrositing small wind turbines," Energy, Elsevier, vol. 220(C).
    16. Dai, S.F. & Liu, H.J. & Chu, Y.J. & Lam, H.F. & Peng, H.Y., 2022. "Impact of corner modification on wind characteristics and wind energy potential over flat roofs of tall buildings," Energy, Elsevier, vol. 241(C).
    17. Xu, Wenhao & Li, Ye & Li, Gaohua & Li, Shoutu & Zhang, Chen & Wang, Fuxin, 2021. "High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part II, array of vertical axis wind turbines between buildings," Renewable Energy, Elsevier, vol. 176(C), pages 25-39.
    18. Zahra Sefidgar & Amir Ahmadi Joneidi & Ahmad Arabkoohsar, 2023. "A Comprehensive Review on Development and Applications of Cross-Flow Wind Turbines," Sustainability, MDPI, vol. 15(5), pages 1-39, March.
    19. Burak Göksu & Berk Yıldız & Metin Danış, 2025. "Techno-Economic Assessment of Marine Fuels for Container Ships: A Net Present Value-Based Investment Analysis," Sustainability, MDPI, vol. 17(17), pages 1-22, September.
    20. Fazelpour, Farivar & Markarian, Elin & Soltani, Nima, 2017. "Wind energy potential and economic assessment of four locations in Sistan and Balouchestan province in Iran," Renewable Energy, Elsevier, vol. 109(C), pages 646-667.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:16:y:2024:i:4:p:1362-:d:1334164. 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.