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Wind energy assessment for NEOM city, Saudi Arabia
Energy Science & Engineering ( IF 3.5 ) Pub Date : 2019-11-15 , DOI: 10.1002/ese3.548 Fawzan Alfawzan 1 , James E. Alleman 1 , Chris R. Rehmann 1
Energy Science & Engineering ( IF 3.5 ) Pub Date : 2019-11-15 , DOI: 10.1002/ese3.548 Fawzan Alfawzan 1 , James E. Alleman 1 , Chris R. Rehmann 1
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This paper provides an analytical assessment of the feasibility of wind energy for Saudi Arabia's envisioned NEOM city, which plans to use only renewable energy. A probability density function was fit to winds simulated for the NEOM region during 2014‐2018. Using this distribution, the optimal wind turbine was selected as the one with the largest capacity factor and smallest levelized cost of energy (LCOE). Financial, environmental, and risk analysis of a wind farm consisting of 100 of these units was also performed. A Weibull distribution determined by changing the shape and scale parameters to minimize the mean squared error offered the best fit to the measured wind speeds at this location. The estimated power density showed that the NEOM site warrants a Class 3 classification, which means wind energy systems would be suitable for commercial operation. A 3.2‐MW wind turbine, which is optimal for this location, has a capacity factor varying from 31.9% to 41.4% and LCOE that ranges from 6.99¢ to 8.32¢ per kWh. The 320‐MW wind farm has a positive net present value, a simple payback period of 13.8 years, and a LCOE of 6.6¢ per kWh. By installing this farm, potential annual savings of CO2 are around 106 metric tons.
中文翻译：
沙特阿拉伯NEOM市的风能评估
本文对沙特阿拉伯设想的NEOM城市提供了风能可行性的分析评估，该市计划仅使用可再生能源。概率密度函数适合于2014-2018年期间NEOM地区模拟的风。使用这种分布，最佳风力涡轮机被选为容量因子最大，能源成本平均水平（LCOE）最小的风力涡轮机。还对由100个此类机组组成的风电场进行了财务，环境和风险分析。通过改变形状和比例参数以最小化均方误差确定的威布尔分布，可以最佳地拟合该位置处的风速。估算的功率密度表明，NEOM站点需要进行3级分类，这意味着风能系统将适合商业运营。最适合该位置的3.2兆瓦风力涡轮机的容量系数从31.9％到41.4％不等，LCOE范围从每千瓦时6.99美分到8.32美分。320兆瓦的风电场的净现值为正，简单的投资回收期为13.8年，LCOE为每千瓦时6.6美分。通过安装该场，每年可能节省一氧化碳2吨约为10 6公吨。
更新日期：2019-11-15
中文翻译：
沙特阿拉伯NEOM市的风能评估
本文对沙特阿拉伯设想的NEOM城市提供了风能可行性的分析评估，该市计划仅使用可再生能源。概率密度函数适合于2014-2018年期间NEOM地区模拟的风。使用这种分布，最佳风力涡轮机被选为容量因子最大，能源成本平均水平（LCOE）最小的风力涡轮机。还对由100个此类机组组成的风电场进行了财务，环境和风险分析。通过改变形状和比例参数以最小化均方误差确定的威布尔分布，可以最佳地拟合该位置处的风速。估算的功率密度表明，NEOM站点需要进行3级分类，这意味着风能系统将适合商业运营。最适合该位置的3.2兆瓦风力涡轮机的容量系数从31.9％到41.4％不等，LCOE范围从每千瓦时6.99美分到8.32美分。320兆瓦的风电场的净现值为正，简单的投资回收期为13.8年，LCOE为每千瓦时6.6美分。通过安装该场，每年可能节省一氧化碳2吨约为10 6公吨。
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