The incorporation of wind energy as a non-conventional energy source has received a lot of attention. The selection of wind turbine (WT) prototypes and their installation based on assessment and analysis is considered as a major problem. This paper focuses on addressing the aforementioned issues through a Weibull distribution technique based on five different methods. The accurate results are obtained by considering the real-time data of a particular site located in the coastal zone of Pakistan. Based on the computations, it is observed that the proposed site has most suitable wind characteristics, low turbulence intensity, wind shear exponent located in a safe region, adequate generation with the most adequate capacity factor and wind potential. The wind potential of the proposed site is explicitly evaluated with the support of wind rose diagrams at different heights. The energy generated by ten different prototypes will suggest the most optimum and implausible WT models. Correspondingly, the most capricious as well as optimal methods are also classified among the five Weibull parameters. Moreover, this study provides a meaningful course of action for the selection of a suitable site, WT prototype and parameters evaluation based on the real-time data for powering local communities.

Global warming and depletion of fossil fuels have urged the world to control their impacts and find clean and green energy sources. Due to this paradigm shift, renewable energy resources (RESs) have received tremendous attention around the globe and amongst other RESs, wind energy has been proving itself a promising renewable resource. However, still, the proper selection of wind turbines (WTs) and their installation is considered a major challenge. Presently, due to the economic boom of Pakistan as a regional power under the China Pakistan Economic Corridor (CPEC) and increasing energy demand, it needs to meet the energy shortage. This paper aims to conduct a pre-feasibility investigation of wind farm exploitation at Gwadar and Quetta, major cities of Baluchistan province in Pakistan by harnessing the wind energy potential and electricity generation cost through different WT models. The wind speed (WS) data is recorded by a professional wind mast at different measurement heights during F.Y 2016 and analyzed using Five approaches, Modified Maximum Likelihood Method (MMLM), Graphical Method (GM), Empirical Method of Lysen (EML), Empirical Method of Jestus (EMJ) and Energy Pattern Factor Method (EPF) at the proposed site and EPF shows the best performance than other approaches. Different WTs models are also evaluated and out of them, the GW121 WT gives the lowest cost in dollars and lowest payback period at each site so it can be recommended as one of the most feasible WT for electricity generation for powering local communities at the proposed sites.

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Wind is one of the world's most rapidly expanding and environmentally friendly renewable energy sources (RES). The aim of this study is to analyze the wind potential availability in Sanghar and Gwadar cities through the wind characteristics' analysis. To analyze the wind potential at the both sites, oneyear average wind speed data (including annual, monthly, day-night, and seasonal variations) for 2020 were used. A Weibull distribution parametric approach with five different technique was applied. Along with an analysis of the wind potential, an economic assessment was also out to estimate the installation cost, turbinecost, capacity factor of ten different wind turbines with different rated power were used at the selected sites. The results show that at the Sanghar site, the maximum power of 1612.82 kW was generated by Vestas V126/3300 whereas the minimum power 383.44 kW was generated by Nordex n60/1300. At the Gwadar site, Vestas V126/3300 generated the maximum power of 745.10 kW and least power of 157.98 kW was generated by Nordex n60/1300. With respect to an economic assessment, Vestas V126/3300 and Suzlon S66/1250 had the highest and lowest installation cost of turbines respectively at both sites. At the Sanghar site, the lowest value i.e., 0.

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