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槽式抛物面太阳场运行温度的提高,由400℃至>450℃,能增加总太阳发电效率和减小槽式抛物面发电厂的发电成本。当前的太阳选择性涂层不具备在较高工作温度所需的稳定性和工作性能。本文目的是开发更有效的太阳选择性涂层,在高于450℃时有高的太阳吸收比(α>0.96)和低的热发射比(在450℃时,ε<0.07),他们在高于450℃是热稳定的,在空气中是理想的,且具有改善了耐久性和生产制造性,因此减少了成本,利用计算机辅助光学设计软件,使多层太阳选择涂层具有超过目标的光学性能(吸收比为0.959,450℃时发射比为0.070)和比一般商业涂层有更低的热损失,那些具有高热稳定性的材料用计算机模型化了,这些超过设定的目标1%的发射比约等于1.2%吸收比。关键问题是沉积涂层的方法,为了沉积这单独的一层层薄膜,为了模型化的选择性多层结构的原型,使用由离子束辅助(IBAD)和电子束(电子束)共同沉积,这是由于它的灵活性和低的材料成本,实验工作聚焦在模型化的高温太阳选择性涂层;沉积一个个单层和模型化的涂层;测量光、热、形貌和成分等性质,并利用数据使模型化和沉积特性的有效性;涂层再优化;测量涂层工作性能和耐久性,将描述开发一个耐久的和先进的选择性涂层的过程。
Trough parabolic solar farm temperature increase, from 400 ℃ to> 450 ℃, can increase the total solar power efficiency and reduce the cost of trough parabolic power plants. Current solar selective coatings do not have the stability and performance required at higher operating temperatures. The aim of this paper is to develop more efficient solar selective coatings with high solar absorptivity (α> 0.96) above 450 ° C and low thermal emissivity (ε <0.07 at 450 ° C) Is thermally stable at 450 ° C, is ideal in air, and has improved durability and manufacturability, thus reducing costs and enabling the use of computer-aided optical design software to make multilayer solar-selective coatings more optically-clear than desired Performance (absorption ratio of 0.959, emission ratio of 0.070 at 450 ° C) and lower heat loss than typical commercial coatings, those with high thermal stability were computerized using computer modeling that exceeded the 1% target set The emission ratio is approximately equal to 1.2% absorption ratio. The key issue is the method of depositing the coating, in order to deposit this individual layer-by-layer film, co-deposited with ion beam assisted (IBAD) and electron beam (electron beam) for prototyping modeled selective multilayer structures, which Due to its flexibility and low material cost, experimental work focused on modeling high temperature solar selective coatings; depositing single and modeled coatings; measuring properties such as light, heat, morphology and composition, And using data to model the effectiveness of modeling and deposition characteristics; re-optimization of coatings; and measurement of coating performance and durability, will describe the process of developing a durable and advanced selective coating.