Wind energy in Egypt: Economic feasibility for Cairo

Abstract

Motivated by the rise of the electricity tariffs applied on industrial customer and the frequent electricity cut offs recently experienced in Egypt, this paper assesses the economic feasibility of installing a stand alone wind energy technology by an industrial customer who seeks to reduce his dependency on the national grid. For this purpose, the wind energy potential at the wind regime of Cairo was chosen to be assessed using half an hour wind speed data for a full one-year period (2009). The Weibull parameters of the wind speed distribution function were estimated by employing the maximum likelihood approach. The estimation revealed that Cairo has poor wind resources. Despite the poor resources, the financial analysis has shown that under certain parameters the wind project can prove to be financially viable. Thus harnessing wind energy through stand alone systems can help in meeting the industries electric power needs.

Tendencies of Electricity Production and Consumption in the Baltic Sea Region

“…The analysis revealed that the majority of the authors usually apply two or three methods to assess the projects. The methods include net present value (NPV), internal rate of return (IRR) and the payback period (Lima and Filho, 2010, Recalde, 2010, Parissis et al, 2011, Hamouda, 2012, O'Connor et al, 2013.…”

“…The last important factor is the economic lifetime of onshore turbines which is considered to be 20 years in many studies (Yue, 2009;Lima, 2010;Parissis, 2011;Hamouda, 2012).…”

A statistical analysis of wind speed data using Burr, generalized gamma, and Weibull distributions in Antakya, Turkey

“…Air density depends essentially on pressure and temperature, and air density can be calculated using the ideal gas law [20]. Air density is given as:…”

Economic Feasibility of Small Wind Turbines for Domestic Consumers in Egypt Based on the New Feed-in Tariff

“…The average output power of a wind turbine ( ave P ) can be estimated as Eq. (2) where the probability density function ( ) f v represents the fraction of duration of wind speed v. The most commonly used model to express the wind speed probability distribution f(v) is the Weibull distribution [14][15][16]. p v is wind turbine output power curve [9].…”