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Evaluation Of Output Power Generation On Solar-grade Crystal Silicon Materials

Posted on:2013-09-07Degree:MasterType:Thesis
Country:ChinaCandidate:L F ZhangFull Text:PDF
GTID:2232330371997193Subject:Materials science
Abstract/Summary:PDF Full Text Request
From21st century, the economy and technology of almost every country around the world has been rapidly development, and followed by, the dependency on and the requirement for the energy increases continuously. As the traditional coal, petroleum and other energy could no longer ensure the sustainable development of society, therefore, the solar energy as the main forms of new energy become one of the main alternative to traditional energy sources. Since2009, China carried out the "Golden Sun" project, the solar photovoltaic power generation has grown vigorously. By the end of2011, the cumulative installed capacity is3GW and according to the "12th Five-Year" Planning and Design, it is expected that the total installed capacity will grow to30GW that means the total growth rate is about10times until the2020.As the main raw material of the solar photovoltaic industry, Solar-Grade Crystal Silicon Cells have about more than about70%market share and gradually become the main force of the solar photovoltaic industry while the industry is booming up. Therefore, it promotes the development of clean energy industries and ease pressure of the shortage of global energy and other issues and provide a good solution. At present, the main preparation methods of crystalline silicon solar cells are Siemens method, Silane method, fluidized bed method et al. All of the above methods have such disadvantages:higher investment, more energy consumption, and some environmental pollution problems. In this context, a new method with large-scale, low cost and green manufacturing process makes a rapidly development, this method is Metallurgical method. Both Siemens method and Metallurgical method occupy an important application in the crystalline silicon solar cell industry, while there are rare studies about qualitative and quantitative analysis and the output power generation performance of crystalline silicon solar cells of the two types of methods.In this paper, therefore, it will carry out the experiments and discuss the following contents:analysis the different performance of solar-grade crystalline silicon material solar cells, monocrystalline silicon and polycrystalline silicon solar cell power generation, after different illumination intensity; analysis effect under different temperatures on single crystal silicon and polycrystalline silicon solar cell power generation; analysis the main parameters of the power generation performance of crystalline silicon solar cells:the open circuit voltage:Voc, the short circuit current:Isc, the fill factor FF and other parameters by qualitative experimental; At last, we will analysis the power generation performance of Metallurgical and Siemens single monocrystalline silicon solar cell by quantitative experiments, then, calculate the temperature coefficient of two types of single monocrystalline silicon solar cell.The conclusions are as follows:there are obvious influences of the performance of monocrystalline and polycrystalline silicon solar cells by different environmental factors (such as light, temperature and et al) affect. Under constant temperature and constant light conditions, the variations of monocrystalline and polycrystalline silicon solar cells are nearly same. It is found that, on the outdoor test conditions, the light intensity on the surface of silicon solar cells caused the change of temperature, then the performance of the silicon solar cells is determined by the both combined effects of illumination intensity and temperature. The open circuit voltage Voc can be used as a measure of crystalline silicon solar cell power generation performance standard. There are differences on the temperature coefficient of Metallurgical method and Siemens method crystalline silicon solar cells.
Keywords/Search Tags:Solar-Grade Crystal Silicon, Generating Performance, TemperatureCoefficient
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