Abstract

In the present study, wind speed data of Jumla, Nepal have been statistically analyzed. For this purpose, the daily averaged wind speed data for 10 year period (2004-2014: 2012 excluded) provided by Department of Hydrology and Meteorology (DHM) was analyzed to estimate wind power density. Wind speed as high as 18 m/s was recorded at height of 10 m. Annual mean wind speed was ascertained to be decreasing from 7.35 m/s in 2004 to 5.13 m/s in 2014 as a consequence of Global Climate Change. This is a subject of concern looking at government’s plan to harness wind energy. Monthly wind speed plot shows that the fastest wind speed is generally in month of June (Monsoon Season) and slowest in December/January (Winter Season). Results presented Weibull distribution to fit measured probability distribution better than the Rayleigh distribution for whole years in High altitude region of Nepal. Average value of wind power density based on mean and root mean cube seed approaches were 131.31 W/m2/year and 184.93 W/m2/year respectively indicating that Jumla stands in class III. Weibull distribution shows a good approximation for estimation of power density with maximum error of 3.68% when root mean cube speed is taken as reference.

Highlights

  • The world energy demand and consumption have increased seriously over last decades and most of this demand is met from fossil fuels

  • Since there was no similar study for this region, this study aimed to examine the wind energy potential of Jumla by finding Weibull and Rayleigh distribution parameters & determining the available power density

  • Since the wind power is proportional to cube of wind speed, it is a better representation of wind speed to be considered in calculations [19]

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Summary

Introduction

The world energy demand and consumption have increased seriously over last decades and most of this demand is met from fossil fuels. The use of fossil fuels and non-renewable form of energy has major impact on environment and our ecosystem through increasing pollution rate. How to cite this paper: Parajuli, A. Many countries in the world are taking a step towards renewable form of energy to solve this challenge. Renewable energy sources like wind, solar, geothermal, hydro, biomass and ocean thermal energy have drawn attention from all over the world due to their almost inexhaustible and non-polluting characteristics. Wind energy being one of the important source for electricity production. It is vigorously pursued in many countries [1]

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