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Wind Resources Assessment and Development of Grid Connected Wind Farm—A Case Study

Author

Listed:
  • Ming-Hong Chen

    (Institute of Nuclear Energy Research, Atomic Energy Council, Executive Yuan, Taoyuan City 32546, Taiwan)

  • Yan-Ting Lin

    (Institute of Nuclear Energy Research, Atomic Energy Council, Executive Yuan, Taoyuan City 32546, Taiwan)

  • Pao-Hsiung Chiu

    (Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), #16-16 Connexis, Singapore 138632, Singapore)

  • Ching-Chang Cho

    (Department of Vehicle Engineering, National Formosa University, Huwei Township, Yunlin County 632, Taiwan)

  • Huei Chu Weng

    (Department of Mechanical Engineering, Chung Yuan Christian University, Taoyuan City 32023, Taiwan)

Abstract

In the present study, the case study of micro-siting for the campus of the Institute of Nuclear Energy Research (INER) is conducted. Results from the effect of weather data suggest that for the wind turbine system higher than 20 m, the effect of nearby building and wake on electricity production would be less important. The effect of different weather data on the generated annual electricity production (AEP) is consistent for the wind turbine higher than 20 m. The difference between the calculated and real AEP of INER-150 kW wind turbine is only 1.1%, which is much better than some previous studies. The good agreement is mainly due to the higher height of the INER-150 kW (50 m), more stable coming wind and smaller impact of building on the performance of power production. Considering the proactivity on the installation for the site in INER campus, the finalized decision on the selection of wind turbine is 1 kW system. The power generation-related data are collected and processed for the fine tuning of model parameters in the future.

Suggested Citation

  • Ming-Hong Chen & Yan-Ting Lin & Pao-Hsiung Chiu & Ching-Chang Cho & Huei Chu Weng, 2020. "Wind Resources Assessment and Development of Grid Connected Wind Farm—A Case Study," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:8903-:d:435319
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    References listed on IDEAS

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    1. Hillring, Bengt & Krieg, Roland, 1998. "Wind energy potential in southern Sweden—Example of planning methodology," Renewable Energy, Elsevier, vol. 13(4), pages 471-479.
    2. Chang, Tsang-Jung & Wu, Yu-Ting & Hsu, Hua-Yi & Chu, Chia-Ren & Liao, Chun-Min, 2003. "Assessment of wind characteristics and wind turbine characteristics in Taiwan," Renewable Energy, Elsevier, vol. 28(6), pages 851-871.
    3. Fang, Hsin-Fa, 2014. "Wind energy potential assessment for the offshore areas of Taiwan west coast and Penghu Archipelago," Renewable Energy, Elsevier, vol. 67(C), pages 237-241.
    4. Carvalho, D. & Rocha, A. & Santos, C. Silva & Pereira, R., 2013. "Wind resource modelling in complex terrain using different mesoscale–microscale coupling techniques," Applied Energy, Elsevier, vol. 108(C), pages 493-504.
    5. Durak, Murat & Şen, Zekai, 2002. "Wind power potential in Turkey and Akhisar case study," Renewable Energy, Elsevier, vol. 25(3), pages 463-472.
    6. Dehmas, Djamila Abdeslame & Kherba, Nabila & Hacene, Fouad Boukli & Merzouk, Nachida Kasbadji & Merzouk, Mustapha & Mahmoudi, Hacene & Goosen, Mattheus F.A., 2011. "On the use of wind energy to power reverse osmosis desalination plant: A case study from Ténès (Algeria)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 956-963, February.
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