Optimization of the CIGS based thin film solar cells: Numerical simulation and analysis

Chalcopyrite Cu(In,Ga)Se (CIGS) is a very promising material for thin film photovoltaics and offers a number of interesting advantages compared to the bulk silicon devices. CIGS absorbers today have a typical thickness of about 1–2 μm. However, on the way toward mass production, it will be necessary to reduce the thickness even further. This paper indicates a numerical study to optimization of CIGS based thin film solar cells. An optimum value of the thickness of this structure has been calculated and it is shown that by optimizing the thickness of the cell efficiency has been increases and cost of production can be reduces. Numerical optimizations have been done by adjusting parameters such as the combination of band gap and mismatch as well as the specific structure of the cell. It is shown that by optimization of the considered structure, open circuit voltage increases and an improvement of conversion efficiency has been observed in comparison to the conventional CIGS system. Capacitance–voltage characteristics and depletion region width versus applied voltage for optimized cell and typical cell has been calculated which simulation results predict that by reducing cell layers in the optimized cell structure, there is no drastically changes in depletion layer profile versus applied voltage. From the simulation results it was found that by optimization of the considered structure, optimized value of CIGS and transparent conductive oxide thickness are 0.3 μm and 20 nm and also an improvement of conversion efficiency has been observed in comparison to the conventional CIGS which cell efficiency increases from 17.65 % to 20.34%, respectively.     

Chaotic biogeography-based optimization approach to target detection in UAV surveillance

This paper describes a novel chaotic biogeography-based optimization (CBBO) algorithm for target detection by means of template matching to meet the request of unmanned aerial vehicle (UAV) surveillance. Template matching has been widely applied in movement tracking and other fields and makes excellent performances in visual navigation. Biogeography-based optimization (BBO) algorithm emerges as a new kind of optimization method on the basis of biogeography concept. The idea of migration and mutation strategy of species in BBO contributes to solving optimization problems. Our work adds chaotic searching strategy into BBO and applies CBBO in template matching. By utilizing chaotic strategy, the population ergodicity and global searching ability are improved, thus avoiding local optimal solutions during evolution. Applying the algorithm to resolving template matching problem overcomes the defects of common image matching. Series of experimental results demonstrate the feasibility and effectiveness of our modified approach over other algorithms in solving template matching problems. Our modified BBO algorithm performs better in terms of convergence property and robustness when compared with basic BBO.     

无线传感器网络中继节点布居算法的研究

本文表述的是在该应用背景下引入多约束条件, 并采用枚举法与贪婪寻优算法相结合的方法, 解决了在可以作为中继节点设置位置的预设中继节点位置集合内, 合理选择中继节点设置位置以及既存网络因添加新传感器节点所引起的中继节点追加的问题. 仿真实验表明, 本文提出的中继节点布居与追加优化算法能够保证多约束条件下网络的容错性. 同时提出的基于最小网络距离因子评价标准, 有效提高了中继节点布居算法的能效性.     

考虑最佳入口温度的多股流换热器网络循环优化

针对于多股流换热器网络的应用优势,本文在衍生网络优化方法基础上,提出了考虑最佳入口温度的多股流换热器循环优化方法,即利用多股流换热器网络小面积换热器合并而不产生固定投资费用这一特点,将优化结果中存在公用工程的流体返回到另一种流体的入口并与其入口流体进行循环优化。结果表明,这种优化方法能够进一步发挥多股流换热器网络的优点,得到年综合费用更小、运行费用更低的网络结构。     

基于遗传LM算法的涂层目标光谱偏振BRDF建模分析

通过比较测量方法测量得到绿漆涂层木板探测目标在400～720 nm的光谱偏振二向反射分布函数值,从获得的户外试验测量数据入手,分析与探测角、波长之间的关系,通过有限探测条件得到的光谱偏振二向反射分布函数值(BRDF)建立光谱偏振BRDF模型,来描述探测目标的偏振二向反射特性。其中利用基于小面元的模型建立光谱偏振BRDF模型,利用遗传算法和Levenberg-Marquardt(LM)算法相结合的优化算法来获得非线性模型参数。仿真实验结果表明采用的遗传LM优化算法具有较好的性能,能较快较准确得到非线性的模型参数。真实实验数据证明了基于小面元模型的正确性,表明光谱偏振二向反射分布函数建模方法结果的可靠性。最后与绿漆涂层铁板目标的模型反演参数进行比较得出：2种不同材质、相同颜色涂层的目标,具有较为接近的折射率,其较小差别可以理解为由涂层的厚度、均匀程度的不同导致,而非不同的材质所引起。     

压缩空气蓄能(CAES)系统集成及性能计算

压缩空气蓄能(CAES)系统是一种新型电能存储系统,具有动态响应快、经济性能高、环境污染小等优点,可起到负荷平衡、战略规划、提高供电质量的作用。CAES系统包括空气压缩机、电动机/发电机、地下贮气室、换热器、燃烧室、燃气轮机等常用设备,可分为两个子系统,分别是蓄能子系统和发电子系统,通过对设备采取不同组态,可得到不同方案系统。本文将结合当前CAES发展的新技术,提出CAES系统的集成方案并进行相应的计算与优化。     

The optimal path of piston motion for Otto cycle with linear phenomenological heat transfer law

An Otto cycle engine with internal and external irreversibilities of friction and heat leakage, in which the heat transfer between the working fluid and the environment obeys linear phenomenological heat transfer law [q ∝△(T -1)], is studied in this paper. The optimal piston motion trajectory for maximizing the work output per cycle is derived for the fixed total cycle time and fuel consumed per cycle. Optimal control theory is applied to determine the optimal piston trajectories for the cases of with and w...     

频率自适应最优权重阵列干涉条纹处理技术

考虑长基线水平阵列波束形成对声场模态呈现的滤波特征,建立了一种随频率改变滤波通带的阵列权矢量设计方法。基于简正波理论,结合声场波束形成特点,在分析了常规波束形成信号LOFAR谱图干涉条纹的清晰度和条纹结构不同于单水听器输出信号条纹现象基础上,采用线性等式约束的二次优化模型,给出了一种频率自适应的最优权重估计。数值仿真验证和试验数据分析表明,利用该方法设计的最优权重阵列波束处理,可以滤波出SRBR(Surface-Reflected Bottom-Reflected)或N-SRBR(Non-Surface-Reflected Bottom-Reflected)模态组成的波束形成信号,信号谱图干涉条纹斜率与理论分析基本一致。     

TIR透镜优化设计在LED微投影显示系统中的应用

发光二极管（lighting emitting diode,LED）取代传统光源作为投影仪,特别是微投影显示系统的光源是一种趋势。采用由非球面构成的TIR透镜代替锥形光管和CPC集光器,并通过整个系统最终在目标屏上形成的照明效果为依据,对TIR透镜的内部结构尺寸参数进行优化设计,采用经过优化设计的TIR 透镜作为对LED光源所发光束进行收集整形的光学元件,克服了在传统投影显示系统中经常出现的锥形光管或复合抛物面集光器 (compound parabolic concentrator,CPC) 给整个系统所带来的光学体积大的缺点。以单片式LCOS（liquid crystal on silicon）结构为基础,利用RGB LED时序方式进行混色,设计了一套LED微投影显示系统,并通过光线追迹程序对其光学性能进行模拟评估。结果表明：在考虑时序混色方式影响的情况下,整体系统光能效率为2.38%,系统光学体积仅为125cm3,达到了对系统结构简单紧凑的设计要求。     

渐进多焦点镜片的逐点定向曲率补偿优化设计

提出一种利用逐点定向曲率补偿法对渐进多焦点镜片初始模型进行整体优化以减小周边散光区（俗称盲区）的优化设计方法。推导出自由曲面任意方向法曲率的计算公式、确定主曲率和主方向的方法,求出镜片初始模型上各点的曲率差和最大曲率方向、最小曲率方向,通过迭加由不同曲率、不同轴向微小柱面构成的自由曲面,来实现逐点定向曲率补偿,使镜片各点的曲率差适当减小,从而减小散光。给出具体优化步骤和一个优化设计实例,并进行实际加工制作与检测。对比优化前后的光焦度和散光度的面形分布图。结果表明,逐点定向曲率补偿法能有效减小渐进多焦点镜片初始模型的最大散光并明显扩大视远区清晰视觉范围。