scholarly journals Design and characterization of effective solar cells

2021 ◽  
Author(s):  
Varun Ojha ◽  
Giorgio Jansen ◽  
Andrea Patanè ◽  
Antonino La Magna ◽  
Vittorio Romano ◽  
...  
Keyword(s):  
Solar Cells ◽  
Quantum Efficiency ◽  
Cost Benefit Analysis ◽  
Cost Minimization ◽  
Cell Structure ◽  
Cost Benefit ◽  
Structure Design ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective

AbstractWe propose a two-stage multi-objective optimization framework for full scheme solar cell structure design and characterization, cost minimization and quantum efficiency maximization. We evaluated structures of 15 different cell designs simulated by varying material types and photodiode doping strategies. At first, non-dominated sorting genetic algorithm II (NSGA-II) produced Pareto-optimal-solutions sets for respective cell designs. Then, on investigating quantum efficiencies of all cell designs produced by NSGA-II, we applied a new multi-objective optimization algorithm II (OptIA-II) to discover the Pareto fronts of select (three) best cell designs. Our designed OptIA-II algorithm improved the quantum efficiencies of all select cell designs and reduced their fabrication costs. We observed that the cell design comprising an optimally doped zinc-oxide-based transparent conductive oxide (TCO) layer and rough silver back reflector (BR) offered a quantum efficiency ($$Q_e$$ Q e ) of 0.6031. Overall, this paper provides a full characterization of cell structure designs. It derives relationship between quantum efficiency, $$Q_e$$ Q e of a cell with its TCO layer’s doping methods and TCO and BR layer’s material types. Our solar cells design characterization enables us to perform a cost-benefit analysis of solar cells usage in real-world applications.

A Clock Grammar: The Use of a Parallel Grammar in Performance-Based Mechanical Synthesis

2002 ◽  
Author(s):  
Alex C. Starling ◽  
Kristina Shea
Keyword(s):  
Mechanical Systems ◽  
Test Methods ◽  
Structure Design ◽  
Design Model ◽  
Spatial Constraints ◽  
Mechanical Synthesis ◽  
Computational Synthesis ◽  
Parts Library ◽  
Performance Considerations

Effective methods of computational synthesis for mechanical systems must represent both function and structure in order to generate physical designs with desired behaviors. To this aim, a parallel grammar for mechanical synthesis was developed based on a Function-Behavior-Structure design model. This parallel grammar was implemented for the domain of mechanical clocks and watches in order to demonstrate the flexibility and strengths of the approach. Designs were produced using a fully parametric parts library. Incorporating performance considerations, generate-and-test methods were then used to produce clock designs that satisfy different sets of spatial constraints to demonstrate the potential of the method for general mechanical synthesis problems.

1407 A Topological Structure Design Method for Multi-Objective Satisfactory Design Solution Sets

2013 ◽  
Vol 2013.23 (0) ◽  
pp. _1407-1_-_1407-8_
Author(s):  
Masato INOUE ◽  
Daisuke ASADA ◽  
Nobuhito KATO ◽  
Nobuyoshi ISHIBAI ◽  
Haruo ISHIKAWS
Keyword(s):  
Topological Structure ◽  
Design Method ◽  
Structure Design ◽  
Design Solution ◽  
Solution Sets ◽  
Multi Objective

Multi-Objective Optimum Design for Wave-Plate Demister Based on NSGA-ΙΙ Algorithm

2013 ◽  
Vol 864-867 ◽  
pp. 1163-1167
Author(s):  
Zong Liang Qiao ◽  
Lei Zhang ◽  
Feng Qi Si ◽  
Zhi Gao Xu
Keyword(s):  
Optimization Model ◽  
Power Plants ◽  
Structural Parameters ◽  
Weight Coefficient ◽  
Structure Design ◽  
Flue Gas Desulfurization ◽  
Support Vector ◽  
Nsga Ii ◽  
Wave Plate ◽  
Multi Objective

For optimizing the structure design of the wave-plate demister vanes in wet flue gas desulfurization system (WFGD) of power plants, the characteristics models of removal efficiency and pressure drop were established by using least squares support vector machine (LSSVM) based on numerical simulation results. The highest relative error between the predicted output and measured value is 2%, it proves the modeling is good for the prediction. Based on the characteristics models, a multi-objective optimization model was established. It used the structural parameters as the optimal variables and the demister characteristics as the objective function. This optimization model was solved by non dominated sorting genetic algorithm (NSGA-II). The simulation data show that the Multi-objective optimum method can get more effective results compared to the weight coefficient method.

Structure design and multi-objective optimization of a novel NPR bumper system

2018 ◽  
Vol 153 ◽  
pp. 78-96 ◽  
Author(s):  
ChunYan Wang ◽  
WeiWei Wang ◽  
WanZhong Zhao ◽  
Yuanlong Wang ◽  
Guan Zhou
Keyword(s):  
Structure Design ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Bumper System

scholarly journals An enhanced genetic algorithm–based multi-objective design optimization strategy

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401878483 ◽  
Author(s):  
Rong Yuan ◽  
Haiqing Li ◽  
Qingyuan Wang
Keyword(s):  
Genetic Algorithm ◽  
Optimization Problems ◽  
Structure Design ◽  
Optimization Strategy ◽  
Turbine Generator ◽  
Design And Optimization ◽  
Wind Turbine Generator ◽  
Multi Objective ◽  
Practical Engineering ◽  
The Given

In this study, an enhanced genetic algorithm is proposed to solve multi-objective design and optimization problems in practical engineering. In the given approach, designers choose available design results from the given samples first. These samples are re-ordered according to their mutual relationships. After that, designers choose an exact ratio of conformity as available field. Furthermore, more weight information can be obtained through finding the minimum value of the norm of unconformity and satisfactory samples. These samples can be used to reflect the preference chosen for Pareto design solutions. A structure design problem of speed increaser used in wind turbine generator systems is solved to show the application of the given design strategy.

Multi-objective optimization design for a hydrodynamic retarder based on CFD simulation considering cavitation effect

2021 ◽  
pp. 095440622110145
Author(s):  
Konghua Yang ◽  
Chunbao Liu ◽  
Qingtao Wu ◽  
Xuesong Li
Keyword(s):  
Flow Field ◽  
Optimization Design ◽  
Cfd Simulation ◽  
Internal Flow ◽  
Structure Design ◽  
Multi Objective Optimization ◽  
Hexahedral Mesh ◽  
Nsga Ii ◽  
Multi Objective ◽  
Cavitation Effect

It is important to suppress cavitation phenomenon for lower vibration and noise, which can be realized by structure optimization to reduce cavitation bubbles of flow field. Nonetheless, performance factors in hydrodynamic retarder are usually conflicted when conducting a structure design, it is hard to simultaneously restrain cavitation and improve the retarding performance. In our study, a combination of comprehensive CFD simulation and multi-objective optimization is developed to improve the retarding torque ([Formula: see text]), lessen the volume of Retarder ([Formula: see text]) and reduce the volume of bubbles ([Formula: see text]) in the internal flow field. First, the elaborate CFD simulation calculation, included a refined hexahedral mesh and the stress-blended eddy simulation (SBES), is proposed to investigate the unsteady flow field considering the cavitation, and its accuracy is validated by experimental data. Then, the RSM (Respond Surface Method) approximation model is constructed by combination of DOE (Design of Method) and CFD methods. The NSGA-II (Non-Dominated Sorting Genetic Algorithm) is selected as multi-objective optimization algorithm, and the weight and scale factor of each sub objective are specified. The optimization results, verified by theoretical calculation, show that [Formula: see text] is increased by 22%–24%, [Formula: see text] is reduced by 32%–45% and [Formula: see text] is reduced by 1%. Furthermore, the comparison of the vortex distributions before and after optimization demonstrates that the optimization improves the flow field impact and pressure loss in the retarder and reduces the number of bubbles resulting in the increasing vortex. Additionally, parameters’ effect on the cavitation and the braking performance are analyzed to efficiently achieve the best comprehensive performance of the retarder design. The newly-developed optimization method, which can understand the optimization principle and guide a balance between the cavitation and the retarding performance improvement, will reduce huge trial cost and time cost in the manufacture.

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