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Numerical assessments of wind power potential and installation arrangements in realistic highly urbanized areas

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  • Juan, Y.-H.
  • Wen, C.-Y.
  • Chen, W.-Y.
  • Yang, A.-S.

Abstract

Various wind resource assessment (WRA) methods have been applied to explore the feasibility of installing wind turbines for urban wind energy harvest. Nevertheless, there are only limited computational fluid dynamics (CFD) studies available to consider WRA around high-rise buildings in realistic urbanized areas. This paper presents a numerical assessment of urban wind energy potential, specifically pursuing to overcome the limitations of former studies by addressing the following points: i) conducting a large-scale wind power estimation by employing the meticulous topography in realistic compact high-rise urban area; ii) validating CFD simulations with the on-site measurements in two seasons; iii) obtaining the annual mean wind speed, wind power density and turbulence intensity between the existing high-rise building features, including building geometry, roof geometry, presence or absence of upstream obstacles, arrangements of integrated building complex and parallel high-rise buildings; iv) investigating the local installation locations of wind turbines and the distances from rooftop sidewalls or lowest mounting heights above rooftops with high power densities and acceptable turbulence intensities for wind energy harvest. The results of this wind resource assessment suggest an effective strategy of turbine installation for implementing urban wind power potential in a realistic compact high-rise urban area.

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  • Juan, Y.-H. & Wen, C.-Y. & Chen, W.-Y. & Yang, A.-S., 2021. "Numerical assessments of wind power potential and installation arrangements in realistic highly urbanized areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    • Handle: RePEc:eee:rensus:v:135:y:2021:i:c:s1364032120304561
    DOI: 10.1016/j.rser.2020.110165
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    1. Takaaki Kono & Tetsuya Kogaki & Takahiro Kiwata, 2016. "Numerical Investigation of Wind Conditions for Roof-Mounted Wind Turbines: Effects of Wind Direction and Horizontal Aspect Ratio of a High-Rise Cuboid Building," Energies, MDPI, vol. 9(11), pages 1-20, November.
    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. 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.
    4. Charabi, Yassine & Al-Yahyai, Sultan & Gastli, Adel, 2011. "Evaluation of NWP performance for wind energy resource assessment in Oman," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1545-1555, April.
    5. Morbiato, T. & Borri, C. & Vitaliani, R., 2014. "Wind energy harvesting from transport systems: A resource estimation assessment," Applied Energy, Elsevier, vol. 133(C), pages 152-168.
    6. Murthy, K.S.R. & Rahi, O.P., 2017. "A comprehensive review of wind resource assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1320-1342.
    7. Karthikeya, B.R. & Negi, Prabal S. & Srikanth, N., 2016. "Wind resource assessment for urban renewable energy application in Singapore," Renewable Energy, Elsevier, vol. 87(P1), pages 403-414.
    8. Veronesi, F. & Grassi, S. & Raubal, M., 2016. "Statistical learning approach for wind resource assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 836-850.
    9. Li, Q.S. & Shu, Z.R. & Chen, F.B., 2016. "Performance assessment of tall building-integrated wind turbines for power generation," Applied Energy, Elsevier, vol. 165(C), pages 777-788.
    10. Biao Wang, 2020. "Urban Wind Energy Evaluation with Urban Morphology," Chapters, in: Karam Youssef Maalawi (ed.), Modeling, Simulation and Optimization of Wind Farms and Hybrid Systems, IntechOpen.
    11. Tabrizi, Amir Bashirzadeh & Whale, Jonathan & Lyons, Thomas & Urmee, Tania, 2014. "Performance and safety of rooftop wind turbines: Use of CFD to gain insight into inflow conditions," Renewable Energy, Elsevier, vol. 67(C), pages 242-251.
    12. Mathaba, Tebello & Mpholo, Moeketsi & Letuma, Mosuoe, 2012. "Velocity and power density analysis of the wind at Letšeng-la-terae in Lesotho," Renewable Energy, Elsevier, vol. 46(C), pages 210-217.
    13. Yang, An-Shik & Su, Ying-Ming & Wen, Chih-Yung & Juan, Yu-Hsuan & Wang, Wei-Siang & Cheng, Chiang-Ho, 2016. "Estimation of wind power generation in dense urban area," Applied Energy, Elsevier, vol. 171(C), pages 213-230.
    14. Abohela, Islam & Hamza, Neveen & Dudek, Steven, 2013. "Effect of roof shape, wind direction, building height and urban configuration on the energy yield and positioning of roof mounted wind turbines," Renewable Energy, Elsevier, vol. 50(C), pages 1106-1118.
    15. Olaofe, Zaccheus O. & Folly, Komla A., 2013. "Wind energy analysis based on turbine and developed site power curves: A case-study of Darling City," Renewable Energy, Elsevier, vol. 53(C), pages 306-318.
    16. Lun, Isaac Y.F & Lam, Joseph C, 2000. "A study of Weibull parameters using long-term wind observations," Renewable Energy, Elsevier, vol. 20(2), pages 145-153.
    17. Khan, M.J. & Iqbal, M.T., 2005. "Pre-feasibility study of stand-alone hybrid energy systems for applications in Newfoundland," Renewable Energy, Elsevier, vol. 30(6), pages 835-854.
    18. Ledo, L. & Kosasih, P.B. & Cooper, P., 2011. "Roof mounting site analysis for micro-wind turbines," Renewable Energy, Elsevier, vol. 36(5), pages 1379-1391.
    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.
    20. Toja-Silva, Francisco & Colmenar-Santos, Antonio & Castro-Gil, Manuel, 2013. "Urban wind energy exploitation systems: Behaviour under multidirectional flow conditions—Opportunities and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 364-378.
    21. Abbasi, S.A. & Tabassum-Abbasi, & Abbasi, Tasneem, 2016. "Impact of wind-energy generation on climate: A rising spectre," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1591-1598.
    22. Lu, Lin & Ip, Ka Yan, 2009. "Investigation on the feasibility and enhancement methods of wind power utilization in high-rise buildings of Hong Kong," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 450-461, February.
    23. Khan, Komal S. & Tariq, Muhammad, 2018. "Wind resource assessment using SODAR and meteorological mast – A case study of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2443-2449.
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