i ! ENGINEERING AND ECONOMICAL FEASIBILITY STUDY FOR RENEWABLE ENERGY APPLICATION IN AN ISOlATED TOURIST VILlAGE

Abstract

Conventional energy supply employillg natural resources like oil and natural gas, are not only quantitatively limited but also quantitatively has series environmental implications. Looking for a clean and unlimited \: energy supply bas occupied a sm.bl.e share of research for the past few decades. W"md and solar eneJ1!Y come on top of the clean, and unlimited energy resources. However, the cost associated with such ideal energy supply limits the spreading of these resources in practical application. The most viable application of these energy resources is to feed the elec1rical load in an isolated area 1hat satisfies certain weather conditions. The I10I1h coast of Egypt could be one of the ideal sites where the wind and solar energy can be utilized for energy supply. This Thesis presents a management technique of a hybrid system employing wind and solar as major energy supply while diesel and batteries as a back up supply. This hybrid energy system is to supply eneJ1!Y for an isolated tourist Wlage located on the north coast of Egypt The cost of energy supply is minimized in a two phase process. In the first phase, an investigation of alternative approaches to minimize energy consumption, as natural ventilation and 8Wl cooking has been conducted. Besides, the load considered is split up into two classes, class to be fed by DC power supply like refrigerators and lighting, while the o1her class, as water heating and cooking is fed by an AC supply. In the second phase, the management of these energy resources to ntiunuizing the energy cost meanwhile satisfYing natural and technical cons1raints is represented. The COJM:Dlional op1imiution techniques may not consider the wtcertainty associated with the weather conditions of the site.. Hence a fuzzy-sets based optimization algorithm is utilized to handle such weather T IDlcertainty. This wmk entailed modelling and analysis based on fuzzy optimization algorithm to reach the optimal sizing of the photovoltaic and wind unit to minimize the overall cost