Optimization of Interval-Based Back Surface Water Cooling For Photovoltaic/Thermal Systems

2020 ◽  
Vol 143 (2) ◽  
Author(s):  
Himanshu Sainthiya ◽  
Navneet Garg ◽  
Narendra S. Beniwal
Keyword(s):  
Genetic Algorithm ◽  
Surface Water ◽  
Power Consumption ◽  
Back Surface ◽  
Water Cooling ◽  
Interval Duration ◽  
Pv System ◽  
Thermal Systems ◽  
Pumping System ◽  
Simulation Results

Abstract The efficiency of photovoltaic (PV) cells degrades, when the temperature increases more than a certain limit. To maintain the temperature within the limit, we consider and analyze a back surface-based water cooled PV system. This analysis shows that the cell temperatures are proportional to the negative exponent of the water flowrates and higher flowrates increase the power consumption. Keeping this in mind, we present interval-based cooling in order to reduce the total consumed power. Moreover, the active pump duration and water flowrates are optimized to maximize the electrical efficiency of the PV system. Due to non-convex nature of the objective function, the Genetic algorithm is employed to get the solutions. Simulation results show that the optimized water flowrate for a given interval duration minimizes the consumed power in pumping system, while maintaining the temperatures within the limit.

Efficiency Enhancement of Photovoltaic/Thermal Module Using Front Surface Cooling Technique in Winter and Summer Seasons: An Experimental Investigation

2019 ◽  
Vol 141 (9) ◽  
Author(s):  
Himanshu Sainthiya ◽  
Narendra S. Beniwal
Keyword(s):  
Solar Cell ◽  
Surface Water ◽  
Surface Temperature ◽  
Front Surface ◽  
Climatic Conditions ◽  
Back Surface ◽  
Water Cooling ◽  
Performance Parameters ◽  
Surface Cooling ◽  
Overall Efficiency

This paper presents the effect of the front surface water cooling on performance parameters (solar cell temperature, back surface temperature, outlet water temperature, electrical efficiency, overall efficiency, etc.) of photovoltaic/thermal (PV/T) module in both winter and summer seasons in Indian climatic conditions. A mathematical model of PV/T module considering energy balance equations has also been presented. A comparative analysis of performance parameters obtained analytically and experimentally has also been presented. A fair agreement has also been found between analytical and experimental results which is supported by correlation coefficient of approximately unity and root mean square error of 10–14%. By front surface water cooling, solar cell and back surface temperature of PV/T module have been found to decrease considerably which in turn resulted in enhanced electrical and overall efficiency of module in winter and summer seasons.

scholarly journals Optimal Sizing and Economical Analysis of PV-Wind Hybrid Power System for Water Irrigation using Genetic Algorithm

2017 ◽  
Vol 7 (4) ◽  
pp. 1797 ◽  
Author(s):  
Ninet Mohamed Ahmed ◽  
Hanaa Mohamed Farghally ◽  
Faten Hosney Fahmy
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Software Tool ◽  
Simulation Software ◽  
Wind System ◽  
Pv System ◽  
Economical Analysis ◽  
Renewable Power ◽  
Pumping System ◽  
South Sinai

In the present study three renewable power systems are proposed to select the most optimum one for powering an irrigation pumping system and a farmer’s house in two different locations in Sinai, Egypt. Abu-Rudies in south Sinai and El-Arish in north Sinai are the two selected locations. The three suggested power systems are; standalone photovoltaic (PV) system, standalone wind system and standalone PV-wind hybrid system. HOGA (Hybrid Optimization by Genetic Algorithms) simulation software tool based on genetic algorithm (GA) is used for sizing, optimization and economical evaluation of three suggested renewable power systems. Optimization of the powersystem is based on the components sizing and the operational strategy.  The calculated maximum amount of water required for irrigating ten acres of olive per day is 170 m<sup>3</sup>. In terms of cost effectiveness, the optimal configurations are the hybrid PV-wind system and the standalone PV system for Abu-Rudies and El-Arish locations respectively. These systems are the most suitable than the others for the selected sites metrological data and the suggested electrical load

Task scheduling algorithm based on improved genetic algorithm in cloud computing environment

2020 ◽  
Vol 13 ◽  
Author(s):  
Ge Weiqing ◽  
Cui Yanru
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Task Completion ◽  
Improved Genetic Algorithm ◽  
Fitness Functions ◽  
Task Scheduling Algorithm ◽  
Simulation Results

Background: In order to make up for the shortcomings of the traditional algorithm, Min-Min and Max-Min algorithm are combined on the basis of the traditional genetic algorithm. Methods: In this paper, a new cloud computing task scheduling algorithm is proposed, which introduces Min-Min and Max-Min algorithm to generate initialization population, and selects task completion time and load balancing as double fitness functions, which improves the quality of initialization population, algorithm search ability and convergence speed. Results: The simulation results show that the algorithm is superior to the traditional genetic algorithm and is an effective cloud computing task scheduling algorithm. Conclusion: Finally, this paper proposes the possibility of the fusion of the two quadratively improved algorithms and completes the preliminary fusion of the algorithm, but the simulation results of the new algorithm are not ideal and need to be further studied.

scholarly journals A Novel Cross-Latch Shift Register Scheme for Low Power Applications

2020 ◽  
Vol 11 (1) ◽  
pp. 129
Author(s):  
Po-Yu Kuo ◽  
Ming-Hwa Sheu ◽  
Chang-Ming Tsai ◽  
Ming-Yan Tsai ◽  
Jin-Fa Lin
Keyword(s):  
Power Consumption ◽  
Supply Voltage ◽  
Electrical Power ◽  
Average Power ◽  
Leakage Power ◽  
Shift Register ◽  
Cmos Process ◽  
Average Power Consumption ◽  
Simulation Results ◽  
Layout Area

The conventional shift register consists of master and slave (MS) latches with each latch receiving the data from the previous stage. Therefore, the same data are stored in two latches separately. It leads to consuming more electrical power and occupying more layout area, which is not satisfactory to most circuit designers. To solve this issue, a novel cross-latch shift register (CLSR) scheme is proposed. It significantly reduced the number of transistors needed for a 256-bit shifter register by 48.33% as compared with the conventional MS latch design. To further verify its functions, this CLSR was implemented by using TSMC 40 nm CMOS process standard technology. The simulation results reveal that the proposed CLSR reduced the average power consumption by 36%, cut the leakage power by 60.53%, and eliminated layout area by 34.76% at a supply voltage of 0.9 V with an operating frequency of 250 MHz, as compared with the MS latch.

A novel identification approach for shearer running status through integration of rough sets and improved wavelet neural network

2016 ◽  
Vol 230 (16) ◽  
pp. 2792-2805 ◽  
Author(s):  
Lei Si ◽  
Zhongbin Wang ◽  
Xinhua Liu
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Rough Sets ◽  
Particle Swarm Optimization Algorithm ◽  
Wavelet Neural Network ◽  
Decision Table ◽  
Swarm Optimization ◽  
Novel Approach ◽  
Identification Approach ◽  
Simulation Results

In order to accurately and conveniently identify the shearer running status, a novel approach based on the integration of rough sets (RS) and improved wavelet neural network (WNN) was proposed. The decision table of RS was discretized through genetic algorithm and the attribution reduction was realized by MIBARK algorithm to simply the samples of WNN. Furthermore, an improved particle swarm optimization algorithm was proposed to optimize the parameters of WNN and the flowchart of proposed approach was designed. Then, a simulation example was provided and some comparisons with other methods were carried out. The simulation results indicated that the proposed approach was feasible and outperforming others. Finally, an industrial application example of mining automation production was demonstrated to verify the effect of proposed system.

A LOW-POWER AND HIGH-SPEED D FLIP-FLOP USING A SINGLE LATCH

2002 ◽  
Vol 11 (01) ◽  
pp. 51-55
Author(s):  
ROBERT C. CHANG ◽  
L.-C. HSU ◽  
M.-C. SUN
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Power Dissipation ◽  
High Speed ◽  
Operating Frequency ◽  
Flip Flop ◽  
Lower Power ◽  
Simulation Results ◽  
Hspice Simulation

A novel low-power and high-speed D flip-flop is presented in this letter. The flip-flop consists of a single low-power latch, which is controlled by a positive narrow pulse. Hence, fewer transistors are used and lower power consumption is achieved. HSPICE simulation results show that power dissipation of the proposed D flip-flop has been reduced up to 76%. The operating frequency of the flip-flop is also greatly increased.

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