Since the consumption of non‐renewable sources is diminishing day‐by‐day, most of the developing countries across the globe are facing a severe energy crisis. This energy crisis affects the developing countries such as Pakistan so extensively that population has a crucial problem of load shedding for long hours. Thus, there exists a fundamental need for alternative and economical energy resources, for example, solar, wind, and biofuel energy. Meanwhile, out of all the financially viable ways of power generation, the wind energy is considered as the most economical way. However, in this article authors selected six potential wind zones which lie within 1100 km of coastal zones. In this study, only 1‐year wind speed raw data is considered and taken from appropriate wind zones at various heights with the support of Pakistan Metrological Department. Besides all, this project encourages the domestic as well as the foreign investor to invest in the wind energy projects at windy zones, which basically opens the business doors for the community of Pakistan for power generation, which leads to overcoming the energy crisis along the countryside. © 2018 American Institute of Chemical Engineers Environ Prog, 38: 706–720, 2019

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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.

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