Investigation of numerical and optimization method in the new concept of solar panel cooling under the variable condition using nanofluid

2020 ◽  
Vol 142 (6) ◽  
pp. 2173-2187 ◽  
Author(s):  
Abdulrahman A. Alrobaian ◽  
Abdulrahman Saleh Alturki
Keyword(s):  
Optimization Method ◽  
Solar Panel ◽  
Variable Condition

scholarly journals FOPID Controller Design and Implementation for High Gain Quadratic Boost Switched Capacitor Converter

2020 ◽  
Vol 64 (4) ◽  
pp. 382-391
Author(s):  
Sivaraj Desingu ◽  
Arounassalame Mouttou
Keyword(s):  
Controller Design ◽  
Optimization Method ◽  
High Gain ◽  
Solar Panel ◽  
Duty Ratio ◽  
Switched Capacitor ◽  
Algorithm Optimization ◽  
Multiple Series ◽  
Switched Capacitor Converter ◽  
Fractional Order Controller

In Solar panel and UPS, high gain DC-DC converters are commonly used. In grid connected inverter specifications, the batteries and solar panel voltage level are low. The use of multiple series related DC batteries and PV panels directly connected to the inverter, it simplifies the process, but the expense is high, and efficiency is low. A high-gain Quadratic Boost Switched Capacitor Converter is proposed in this paper. The high step up voltage gain is achieved by adding the voltage multiplier topology in the conventional quadratic boost converter with the correct duty ratio. The fractional order controller is implemented, and it’s tuned by genetic algorithm optimization method for improving the performance of the proposed converter. Its characteristics are low energy processing, robustness and balanced voltage of cells. The performed that include the proposal and existing solutions, the theoretical results are verified from MATLAB/SIMULINK toolbox.

A Structural Topological Optimization Method Based on Varying Displacement Limits and Design Space Adjustments

2010 ◽  
Vol 97-101 ◽  
pp. 3609-3616 ◽  
Author(s):  
Jian Hua Rong ◽  
Wei Xiang Li ◽  
Bing Feng
Keyword(s):  
Design Space ◽  
Optimization Method ◽  
Topological Optimization ◽  
Discrete Topology ◽  
Structural Topology ◽  
Design Structure ◽  
Optimum Topology ◽  
Two Phases ◽  
Original Objective ◽  
Variable Condition

In the proposed topology optimization method, the whole optimization process is divided into two phases. Firstly，an optimization model dealing with varying displacement limits and design space adjustment approaches， after the combination of structural discrete topology variable condition and the original objective， are built. Secondly，incorporating smooth optimization algorithm，a procedure is proposed to solve the optimization problem of the first optimization adjustment phase. This design space adjustment capability is automatic when the design domain needs expansion or reduction, and it will not affect the property of mathematical programming method convergences. The structural topology approaches to the vicinity of the optimum topology when the first optimization adjustment phase ends. Then, a heuristic algorithm is given to make the topology of the design structure be of solid/empty property and the optimum topology is obtained during the second optimization adjustment phase. The simulation shows that the topologies obtained by the proposed method are of very good 0-1 distribution property, the proposed method is robust and efficient.

scholarly journals Performance Optimization and Verification of a New Type of Solar Panel for Microsatellites

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
L. Teng ◽  
X. D. Zheng ◽  
Zh. H. Jin
Keyword(s):  
Structural Properties ◽  
Performance Optimization ◽  
Simulation Analysis ◽  
Structural Parameters ◽  
Engineering Application ◽  
Optimization Method ◽  
Solar Panel ◽  
Metal Printing ◽  
3D Metal Printing ◽  
New Type

In this paper, a new method of replacing the conventional honeycomb aluminum panel with 3D metal printing on the microsatellite is presented. The multiobjective optimization method is used to optimize the temperature difference, compression strength, shear strength, and weight of the new type of solar panel structure. The relationships between the structural parameters and optimization targets are established, and the influence of five factors on thermal and structural properties is analyzed. Finally, a group of better structural parameters of the panel is obtained. The relative deviations between simulation analysis and model are 27.45%, 6.12%, 1.365%, and 3.27%, respectively. The optimization results show that the regression model can be used to predict thermal and structural properties of the panel, and the establishment of the model is effective. The analysis results show that the performances can be improved by 91.62%, 46.94%, 17.91%, and 10.28%, respectively. The optimized results are used for 3D metal printing, and the new type of solar panel is obtained. It is proved that the method can effectively improve the thermal and structural properties of the panel and can effectively shorten the development and manufacture cycle of the panel and also reduce the cost. It has high engineering application value.

Optimization Method of Superelevation Transition for Oval Racing Tracks

CICTP 2019 ◽  
2019 ◽  
Author(s):  
Yuchen Wang ◽  
Tao Lu ◽  
Hongxing Zhao ◽  
Zhiying Bao
Keyword(s):  
Optimization Method

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

Dimensioning a recovery boiler furnace using mathematical optimization

TAPPI Journal ◽  
2015 ◽  
Vol 14 (2) ◽  
pp. 119-129 ◽  
Author(s):  
VILJAMI MAAKALA ◽  
PASI MIIKKULAINEN
Keyword(s):  
Radial Basis Function Network ◽  
High Capacity ◽  
Mathematical Optimization ◽  
Optimization Procedure ◽  
Optimization Method ◽  
Performance Criteria ◽  
Boiler Furnace ◽  
Starting Point ◽  
Recovery Boiler ◽  
Base Design

Capacities of the largest new recovery boilers are steadily rising, and there is every reason to expect this trend to continue. However, the furnace designs for these large boilers have not been optimized and, in general, are based on semiheuristic rules and experience with smaller boilers. We present a multiobjective optimization code suitable for diverse optimization tasks and use it to dimension a high-capacity recovery boiler furnace. The objective was to find the furnace dimensions (width, depth, and height) that optimize eight performance criteria while satisfying additional inequality constraints. The optimization procedure was carried out in a fully automatic manner by means of the code, which is based on a genetic algorithm optimization method and a radial basis function network surrogate model. The code was coupled with a recovery boiler furnace computational fluid dynamics model that was used to obtain performance information on the individual furnace designs considered. The optimization code found numerous furnace geometries that deliver better performance than the base design, which was taken as a starting point. We propose one of these as a better design for the high-capacity recovery boiler. In particular, the proposed design reduces the number of liquor particles landing on the walls by 37%, the average carbon monoxide (CO) content at nose level by 81%, and the regions of high CO content at nose level by 78% from the values obtained with the base design. We show that optimizing the furnace design can significantly improve recovery boiler performance.

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