Pakistan has been facing an energy crisis for many years. Techno-economic analysis of wind power generation is carried out to meet energy demand. Wind data from 2016 to 2018 has been selected for a coastal site of Sindh, Pakistan. For this purpose, four distribution functions, namely Weibull, Gamma, Rayleigh, and Lognormal are used. These distribution functions are compared using the coefficient of determination (R²) and root mean square error tests. Wind potential on a daily, monthly, yearly and seasonal basis is evaluated. In this regard, various turbine models are selected to estimate their power generation capacity. The assessment results for a hub height of 100 m shows the average wind speed for three years is 7.9 m/s with direction dominated between the West and Southwest. The most probable wind speed is 9.5 m/s having a maximum energy density of 455 kWh/m² in May. The maximum mean wind speed of 8.55 m/s is in the spring. The Weibull distribution function (k = 2.92 & C = 8.86 m/s) performs the best. The maximum capacity factor for Fuhrlander LLC WTU 3.0–120 is 55.49% and for Siemens SWT-3.15–142 is 55.22%. Likewise, the estimated lowest LCOE ($/1kWh) for Fuhrlander LLC WTU 3.0–120 and Siemens SWT-3.15–142 is $0.04016 and $0.04035 respectively. Thus, this site contains suitable technical and economic characteristics of the wind power plant.

巴基斯坦多年来一直面临能源危机。对风力发电进行技术经济分析以满足能源需求。已为巴基斯坦信德省的沿海站点选择了 2016 年至 2018 年的风力数据。为此，使用了四个分布函数，即 Weibull、Gamma、Rayleigh 和 Lognormal。使用决定系数 (R ²) 和均方根误差检验。评估每天、每月、每年和季节性的风力潜力。在这方面，选择了各种涡轮机模型来估计它们的发电能力。轮毂高度100 m的评估结果显示，三年平均风速为7.9 m/s，风向以西风和西南风为主。最可能的风速为 9.5 m/s，最大能量密度为 455 kWh/m ²在五月。春季最大平均风速为 8.55 m/s。Weibull 分布函数 (k = 2.92 & C = 8.86 m/s) 表现最好。Fuhrlander LLC WTU 3.0–120 的最大容量系数为 55.49%，Siemens SWT-3.15–142 的最大容量系数为 55.22%。同样，Fuhrlander LLC WTU 3.0-120 和 Siemens SWT-3.15-142 的估计最低 LCOE（$/1kWh）分别为 0.04016 美元和 0.04035 美元。因此，该站点包含适合风力发电厂的技术和经济特征。