Practical electrical energy production to solve the shortage in electricity in Palestine and Pay Back period

Abstract

In this paper power energy had been estimated based on actual wind speed records in a coastal city in Palestine Ashdod. The main aims of this study to determine the feasibility of wind turbine and to estimate payback period. Therefore, to encourage investment in renewable energy in Palestine. The daily average wind speed data had been analyzed and fitted to the Weibull probability distribution function. The parameters of Weibull had been calculated by author using Graphical method the applied example wind turbine is 5kw wind turbine generator this is suitable turbine for small scale based on wind speed records on the coastal plain of Palestine. This study calculated the energy that can produce from wind turbine to estimate the revenue of any possible project in wind energy conversion system based on unit area. Energy has been calculated wind energy using two different method based on Weibull data and measured data. The total amount of energy for 2010 is 10749.8 kw.hr/m2 based on measured wind speed. Payback period for the project in wind energy turbines is around 3 years which make the generation electricity possible for small scale but not commercial. This study will lead to assess the wind energy production in Palestine to encourage investment in renewable energy sectors.

Bulk power system availability assessment with multiple wind power plants

“…,3 = 0 = 3 (21) where the skewness ( ,3 ) and the kurtosis ( ,4 ) of xl are computed from (15) and (16). Note that for all l-th random variable [ ] ,3 is a common vector given by:…”

“…All these networks components can be out of service by fails or maintenance, among others. In addition, it is well known that the Wind speed has a random behavior, usually, modeled by a Weibull probability function [21], given by: Wind speed ( ) is an input value that allows the computation of the power generation of each individual wind turbine. However, the wind speed is different for each wind turbine.…”

Data bank: nine numerical methods for determining the parameters of weibull for wind energy generation tested by five statistical tools

“…Therefore, many governments tried to achieve the goal to supply an essential portion of the electrical grid from sustainable energy resources such as wind energy and PV solar system. The critical situation in the Mediterranean coastal plain of Palestine, the siege imposed and the growing need due to the high number of population for alternative sources of energy have become urgent concerns [1]. This study estimates wind…”

Analysis of wind speed characteristics using different distribution models in Medan City, Indonesia

“…Estimating wind speed characteristics is very important to assess the potential of wind energy [4], evaluate the performance of wind energy systems [5], and design a power plant at a selected location. Moreover, wind energy potential varies directly to the wind speed, and the small changes in wind speed will affect the amount of energy produced by the wind power plant.…”