Recently, low-emission energy models have been rapidly developed in Jordan to cope with population growth and the limited availability of resources. One of the low-emission energy models refers to wind energy as increasingly becoming an essential source of renewable energy. As a result, a thorough examination of long-term wind data of small-scale wind power generating is critical to assess the potentiality of wind energy output in a region. For this purpose, this research presents an assessment of wind energy potentiality in Al-Salt city of Jordan. To understand the wind energy potentiality that is produced from the selected site, two parameters are utilized by the Weibull distribution model. As a result, the shape parameter k and the scale parameter c were utilized to calculate the wind potential and its yearly frequencies. According to the findings, the peak values of k and c in 2016 were 1.65 and 4.4, respectively, where the wind speed repetition is within 1–4 m/s with a probability of 76%. Furthermore, the findings indicated that the scale parameters and typical form were 3.14 and 1.40, respectively, and that there is little change in wind speed and wind potential growth over time as such December has the lowest wind power intensity, while November has the highest. In conclusion, the findings indicated that Al-Salt city has scarce wind resources by international standards. However, it is still an appropriate location for small-scale power generation, according to the current findings.

最近，低排放能源模型在约旦迅速发展，以应对人口增长和资源有限的情况。其中一种低排放能源模型将风能视为日益成为可再生能源的重要来源。因此，全面检查小型风力发电的长期风力数据对于评估一个地区的风能输出潜力至关重要。为此，本研究对约旦盐城的风能潜力进行了评估。为了解所选地点产生的风能潜力，威布尔分布模型使用了两个参数。因此，形状参数k和尺度参数c被用来计算风势及其年频率。根据研究结果， 2016年k和c的峰值分别为1.65和4.4，其中风速重复在1~4 m/s以内的概率为76%。此外，研究结果表明，尺度参数和典型形式分别为 3.14 和 1.40，风速和风势增长随时间变化不大，因此 12 月风电强度最低，11 月风电强度最高。总之，调查结果表明，按照国际标准，盐城的风资源稀缺。然而，根据目前的调查结果，它仍然是小规模发电的合适地点。