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Statistical Analysis of Renewable Energy Resources of Pakistan

Journal: International Journal of Emerging Trends in Engineering Research (IJETER) (Vol.9, No. 4)

Publication Date:

Authors : ;

Page : 508-514

Keywords : Renewable energy; wind power; solar PV; ocean energy; bio energy; hydro power; geothermal energy; Probability DensityFunction; Matlab; Weibull distribution; Approximation algorithms; Statistical Analysis;

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Abstract

Despite of being one of the richest countries in energy resources Pakistan is facing a huge short fall of electrical energy as energy demand is increasing rapidly but increase in generation capability is much slow. Currently Pakistan is using a huge amount of non-renewable energy resources to produce electricity which is not only expensive but also affecting the environment dueto by-products of this process. This is a common trend throughout the world to use renewable resources of energy as it is economical and nature friendly. This paper gives an overview of currently used methods for power generation in Pakistan and a gives a brief detail on how and in which areas of the country power generation can be done using renewable resources of energy. Cost of installing the system is also one of the most important factors but will not be discussed here because purpose of this paper is only to help the reader to know about different renewable resources of energy.Numerous types of wind turbines i.e. Bonus 300/33.4, NEG/Micon 1000/60, Vestas 600/42 and Whisper 0.9/2.13 have been statistically analyzed, for the energy they could ideally produce, under the same atmospheric conditions. The coasts of Karachi are proposed to be among the ideal, most suitable sites, for the erection of wind farms, in Pakistan. Wind-Data for the year 2003 (previously acquired through anemometers) is processed in “MATLAB” to implement the “Curve Fitting techniques” adjusting the “k” and “c”, the shape and scale parameters, respectively, of the “Weibull Distribution” so that the refined Wind-Data curves resemble the ones made by the Raw-Data, minus the anomalies. Furthermore, the refined data is then extracted to be populated in the spreadsheets for mathematical/statistical calculations.

Last modified: 2021-04-13 15:15:31