مدل شبیه سازی برای نصب و اندازه PV

Electric energy consumption in the arid Saharan regions is continuingly increasing due to increasing urbanization. Photovoltaic solar energy may be a suitable form of alternative electric energy production due to the abundance of solar energy in this region. In this paper we are presenting the general outline of a simulation model used to size and assess the performance a PV installation using DELPH5 programming language. This program allows the user to determine at any moment the performance of the PV installation by comparing the PV electric energy produced and the required consumption load and. It also permits the optimization of the system relative to the factor of time.

Photovoltaic electric energy has become a major emphasis in Algeria since 4/5 of the country is the Saharan desert, receiving approximately around 6 KWh/m2/day. More than all fossil types of energy combined. But the development of photovoltaic industry as in any other type of industry has economic criteria and constraints that must bemet for it to be economically feasible. Some of the economic factors influencing the cost feasibility of a PV installation are the cost of basic materials [1,2] and the flexibility of the installation to meet various domestic needs of the user. Conversion from solar to photovoltaic electric energy is one of the mostly direct usages of solar energy. In isolated regions such as those of the Saharan desert, and because of the scarcity of means it is necessary to optimize PV installation to utmost possible in order to have the least costly system possible.

This paper presents the algorithms used in and the overall outline of a simulation program to determine the performance of PV installation. This program allows the following: For a specialist in the field, to assess the characteristics of the installation before it is built saving henceforth unnecessary developmental costs and increase the economic feasibility of a PV installation project. The program also allows the user to assess the electric power output for different site configuration and data as well as different energy consumption needs of the consumer