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廖智强,莫秋云. 基于能量偿还时间的小型风力发电机预安装评估[J]. 科学技术与工程, 2020, 20(35): 14512-14517.
liaozhiqiang.Pre-installation evaluation of small wind turbines based on energy pay back time[J].Science Technology and Engineering,2020,20(35):14512-14517.
基于能量偿还时间的小型风力发电机预安装评估
Pre-installation evaluation of small wind turbines based on energy pay back time
投稿时间:2019-12-24  修订日期:2020-04-22
DOI:
中文关键词:  动态生命周期评价  能量偿还时间  年发电量  绿色效益  改善分析
英文关键词:dynamic life cycle assessment  energy pay back time  annual generation capacity  
基金项目:国家自然科学基金项目(51465010)、广西自然科学基金面上项目(2018GXNSFAA050077)
     
作者单位
廖智强 桂林电子科技大学海洋信息工程学院
莫秋云 桂林电子科技大学机电工程学院
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中文摘要:
      为了避免小型风力发电机安装方案不当所造成的资源浪费,提出了一种从评估到优化的预安装评估方法。首先分别运用静态、动态生命周期评价方法获得风机生命周期输入总能量。其次利用实验数据与概率论法计算出年发电量。然后根据定义公式得出能量偿还时间,对比使用寿命数据,评估风机绿色效益。最后根据评估结果,针对部分影响因素实施改善分析,以改善风机绿色效益。结果表明:动态生命周期评价方法的绿色效益评估结果更准确,且计算得出的偿还时间有所减少;改善策略能够有效提升风机绿色效益,进而提升评估结果。该方法中的评估模式和部分计算方法可在其他新能源发电产品的评估中推广。
英文摘要:
      In order to avoid the waste of resources caused by improper small wind turbine installation scheme, a pre-installation evaluation method from evaluation to optimization was proposed. Firstly, total energy input of the wind turbine’s life cycle was obtained by using static and dynamic life cycle assessment methods. Secondly, annual power generation was obtained by using experimental data and probability theory. Then energy pay back time was obtained by defining formula, and the green benefits of the wind turbine was evaluate by comparing the pay back time with service life data. At the end, according to the evaluation results, some influencing factors was implemented improvement analysis.The results show that the green benefit evaluation results of the dynamic life cycle assessment method are more accurate, and the energy pay back time has decreased. And these improvement strategies can effectively improve the green benefits of the wind turbine, and then improve the evaluation results.The evaluation model and some calculation methods of this method can be promoted in the evaluation of other new energy power generation products.
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