Department of Environmental Science, Faculty of Sciences , Radboud University Nijmegen , Heyendaalseweg 135 , 6525 AJ Nijmegen , The Netherlands.
Royal Netherlands Meteorological Institute , Postbus 201, 3730 AE De Bilt , The Netherlands.
Environ Sci Technol. 2019 Aug 6;53(15):9289-9297. doi: 10.1021/acs.est.9b01030. Epub 2019 Jul 26.
The net greenhouse gas benefits of wind turbines compared to their fossil energy counterparts depend on location-specific wind climatology and the turbines' technological characteristics. Assessing the environmental impact of individual wind parks requires a universal but location-dependent method. Here, the greenhouse gas payback time for 4161 wind turbine locations in northwestern Europe was determined as a function of (i) turbine size and (ii) spatial and temporal variability in wind speed. A high-resolution wind atlas (hourly wind speed data between 1979 and 2013 on a 2.5 by 2.5 km grid) was combined with a regression model predicting the wind turbines' life cycle greenhouse gas emissions from turbine size. The greenhouse gas payback time of wind turbines in northwestern Europe varied between 1.8 and 22.5 months, averaging 5.3 months. The spatiotemporal variability in wind climatology has a particularly large influence on the payback time, while the variability in turbine size is of lesser importance. Applying lower-resolution wind speed data (daily on a 30 by 30 km grid) approximated the high-resolution results. These findings imply that forecasting location-specific greenhouse gas payback times of wind turbines globally is well within reach with the availability of a high-resolution wind climatology in combination with technological information.
与化石能源相比,风力涡轮机的净温室气体效益取决于特定地点的风气候学和涡轮机的技术特征。评估单个风电场的环境影响需要一种普遍但依赖于地点的方法。在这里,作为(i)涡轮机大小和(ii)风速时空变化的函数,确定了西北欧 4161 个风力涡轮机地点的温室气体回报时间。高分辨率风图集(1979 年至 2013 年每小时风速数据,网格间距为 2.5 公里×2.5 公里)与预测从涡轮机大小到其生命周期温室气体排放的回归模型相结合。西北欧风力涡轮机的温室气体回报时间在 1.8 到 22.5 个月之间变化,平均为 5.3 个月。风气候学的时空变化对回报时间有特别大的影响,而涡轮机大小的变化则相对不重要。应用较低分辨率的风速数据(网格间距为 30 公里×30 公里,每天一次)可以近似高分辨率的结果。这些发现意味着,在具有高分辨率风气候学和技术信息的情况下,全球范围内预测特定地点的风力涡轮机的温室气体回报时间是可行的。