Investigation On Optimizing Matching Of Combined Monocrystalline And Amorphous Silicon Photovoltaic Modules

As one of the most important solar energy applications, solar photovoltaic application is developing fast. According to the characteristics of infinity, cleanness and mass use, photovoltaic application will make a pivotal role in solving the inconsistency between energy supply and demand. Besides the study of solar cell materials, system control and transportation of electric power, more attention should also be paid to the investigation of its application. Furthermore, we need to make the renewable energy systems do better in terms of energy performance.Through the investigation of monocrystalline and amorphous silicon solar cells, it found that they have reciprocal characteristics. Monocrystalline silicon solar cells have higher stabilization, lower efficiency for lower solar radiation, more obvious negative influence from temperature, higher cost and smaller area, but amorphous silicon solar cells have the right contrary. The purpose of this paper is to develop the mathematic models of the two types of solar cells, i.e. about their radiation intensity and temperature, and to optimize the matching design method according to local weather condition for making the volume-confirmed system generate the most electricity and balance the cost and area at the same time and making the load-confirmed system save both of the cost and area.For optimizing the photovoltaic system, the optimum tilt angle of a solar array should be found first. According to the weather condition, and considering the direct radiation, dispersion radiation and reflect radiation from ground, the optimum tilt angle of a solar array for different location in China have been investigated by a developed computer program. However, some conclusions need to be modified. For the photovoltaic system used in a special time period, the optimum tilt angle should be calculated according to the weather condition in this period. To validate the simulation model, experiment at Tianjin Institute of Urban Construction and The Hong Kong Polytechnic University was carried out. It is found that the error is under 6% and satisfies the requirement of a real PV project. The optimized matching is derived by using the weather condition per hour, and the correlative program. The mathematic model demonstrates the reciprocal characteristic of the two types of solar cells, and the result of the optimized matching indicates that the combination can improve the system's energy performance, reduce the cost and land area usage.