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Technical assessment of the use of a small-scale wind power system to meet the demand for electricity in a land aquafarm in Taiwan

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  • Lai, Chi-ming
  • Lin, Ta-hui

Abstract

Due to the widespread aquaculture at coastal area in Taiwan and high wind power potential in the sites, it is worthy to carry out the technical potential assessments of small-scale wind power system used for aquaculture in Taiwan. The present work analyzed wind power potential, described the practical installation, measured the actual energy output, verified the reliability of the energy output estimation method and elucidated important considerations associated with the use of this estimation method. The relationship between the actual energy generated and the wind speed characteristics were thus introduced. The power quality produced by a small-scale wind power generator was also evaluated.

Suggested Citation

  • Lai, Chi-ming & Lin, Ta-hui, 2006. "Technical assessment of the use of a small-scale wind power system to meet the demand for electricity in a land aquafarm in Taiwan," Renewable Energy, Elsevier, vol. 31(6), pages 877-892.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:6:p:877-892
    DOI: 10.1016/j.renene.2005.05.007
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    References listed on IDEAS

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    1. Clausen, P.D. & Wood, D.H., 1999. "Research and development issues for small wind turbines," Renewable Energy, Elsevier, vol. 16(1), pages 922-927.
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    Cited by:

    1. Shinn-Lih Yeh & Hans-Uwe Dahms & Ying-Jer Chiu & Su-Jung Chang & Yi-Kuang Wang, 2017. "Increased Production and Water Remediation by Land-Based Farm-Scale Sequentially Integrated Multi-Trophic Aquaculture Systems—An Example from Southern Taiwan," Sustainability, MDPI, vol. 9(12), pages 1-13, November.
    2. Xu, Jiuping & Liu, Tingting, 2020. "Technological paradigm-based approaches towards challenges and policy shifts for sustainable wind energy development," Energy Policy, Elsevier, vol. 142(C).
    3. Liu, Feng-Jiao & Chen, Pai-Hsun & Kuo, Shyi-Shiun & Su, De-Chuan & Chang, Tian-Pau & Yu, Yu-Hua & Lin, Tsung-Chi, 2011. "Wind characterization analysis incorporating genetic algorithm: A case study in Taiwan Strait," Energy, Elsevier, vol. 36(5), pages 2611-2619.
    4. Herbert, G.M. Joselin & Iniyan, S. & Goic, Ranko, 2010. "Performance, reliability and failure analysis of wind farm in a developing Country," Renewable Energy, Elsevier, vol. 35(12), pages 2739-2751.
    5. Rahimi, Sahand & Meratizaman, Mousa & Monadizadeh, Sina & Amidpour, Majid, 2014. "Techno-economic analysis of wind turbine–PEM (polymer electrolyte membrane) fuel cell hybrid system in standalone area," Energy, Elsevier, vol. 67(C), pages 381-396.
    6. Shoaib, Muhammad & Siddiqui, Imran & Amir, Yousaf Muhammad & Rehman, Saif Ur, 2017. "Evaluation of wind power potential in Baburband (Pakistan) using Weibull distribution function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1343-1351.
    7. Chang, Tian Pau, 2011. "Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application," Applied Energy, Elsevier, vol. 88(1), pages 272-282, January.
    8. Gugliani, Gaurav Kumar & Sarkar, Arnab & Ley, Christophe & Matsagar, Vasant, 2021. "Identification of optimum wind turbine parameters for varying wind climates using a novel month-based turbine performance index," Renewable Energy, Elsevier, vol. 171(C), pages 902-914.

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