https://scholars.lib.ntu.edu.tw/handle/123456789/437829
標題: | Fuzzy duration forecast model for wind turbine construction project subject to the impact of wind uncertainty | 作者: | Guo, S.-J. Chen, J.-H. Chiu, C.-H. SY-JYE GUO |
關鍵字: | Duration forecast; Fuzzy modeling; Impact of wind uncertainty; Wind turbine construction | 公開日期: | 2017 | 卷: | 81 | 起(迄)頁: | 401-410 | 來源出版物: | Automation in Construction | 摘要: | Wind energy is one of the most promising renewable energy and wind farm is globally constructed for sustainable development. However, wind could produce adverse effects on some wind-sensitive tasks of wind turbine construction projects. Due to limited understanding of how wind may influence productivity in wind turbine construction project, this research presents a fuzzy duration forecast model for wind turbine construction project subject to the impact of wind uncertainty. Through the use of Beaufort scale, professional expertise, and fuzzy membership functions, the productivity loss (PL) subject to various Beaufort scale of wind can be analyzed. With historical wind speed data incorporated, the duration can be simulated and forecasted by the model. Besides, the practicality of the model is demonstrated by an actual wind turbine construction project. The findings from this research are very useful in allocating schedule risk for wind turbine construction projects where wind uncertainty arises. © 2017 Elsevier B.V. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/437829 | DOI: | 10.1016/j.autcon.2017.03.009 | SDG/關鍵字: | Forecasting; Membership functions; Productivity; Uncertainty analysis; Wind; Wind power; Construction projects; Fuzzy durations; Fuzzy membership function; Fuzzy modeling; Productivity loss; Professional expertise; Renewable energies; Wind uncertainties; Wind turbines |
顯示於: | 土木工程學系 |
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