【正文】
design methods. 2 Many factors affect the design Sun solar cells on the ground square on the radiation of light spectrum, light intensity by the thickness of the atmosphere (ie air quality), geographic location, the location of the climate and weather, terrain and surface features such as the impact of its energy in one day, January and a year of great change, or even years between the total annual amount of radiation There were also large differences. Square solar photoelectric conversion efficiency, by the battery itself, temperature, sunlight intensity and battery voltage fluctuations, which is three in one day will change, so square photovoltaic solar cell conversion efficiency is also variable. Battery is charging in the float state, with the square of its voltage output and load power consumption changes. Batteries to provide energy is also affected by environmental temperature. Solar energy battery charge and discharge controller made by the electronic ponents manufacturer, it is also necessary energy, while the use of ponents of performance, quality, etc. is also related to the size of energy consumption, thus affecting the efficiency of charge. Load of electricity, but also as determined by uses, such as munications relay stations, unmanned weather stations and so on, have a fixed power equipment. Some equipment such as a lighthouse, beacon lights, civilian power consumption such as lighting and equipment power consumption are often changing. Therefore, the solar power system design, the need to consider many factors and plex. Characteristics are: the data used in most previous statistical data, the statistical data measurement and data selection are important. Designers of the mission are: In the solar cell matrix under the conditions of the environment (that is, the scene of the geographical location, solar radiation, climate, weather, terrain and surface features, etc.), the design of solar cell and battery power system matrix is We should pay attention to economic efficiency, but also to ensure system reliability. Location of a p