Efficiency Improvement of a Photovoltaic Module Using Front Surface Cooling Method in Summer and Winter Conditions

2018 ◽  
Vol 140 (6) ◽  
Author(s):  
Himanshu Sainthiya ◽  
Narendra S. Beniwal ◽  
Navneet Garg
Keyword(s):  
Output Power ◽  
Cooling System ◽  
Front Surface ◽  
Weather Conditions ◽  
Photovoltaic Module ◽  
Surface Cooling ◽  
Cell Efficiency ◽  
Pumping System ◽  
Winter Conditions ◽  
Cooling Method

Photovoltaic (PV) cells exhibit long-term degradation, when its temperature exceeds a certain limit. On the other hand, decreasing the temperature results in lower PV cell efficiency. The aim of this paper is to demonstrate the improvements in the output power and efficiency of PV modules using a cooling system based on flowing water on the front surface. Front surface cooling method with the help of a water pumping system is one of the most promising methods for cooling the PV cells. With poly-crystalline PV cells, different water flow rates are experimented, and the output power and the efficiency are computed for different weather conditions. These experiments yield that the cell efficiency is improved by approximately 27.3% in winter conditions and 27.6% in summer conditions.

scholarly journals Experimental Validation of a Thermo-Electric Model of the Photovoltaic Module under Outdoor Conditions

2021 ◽  
Vol 11 (11) ◽  
pp. 5287
Author(s):  
Klemen Sredenšek ◽  
Bojan Štumberger ◽  
Miralem Hadžiselimović ◽  
Sebastijan Seme ◽  
Klemen Deželak
Keyword(s):  
Output Power ◽  
Operating Temperature ◽  
Weather Conditions ◽  
Absolute Error ◽  
Primary Objective ◽  
Photovoltaic Module ◽  
Energy Technology ◽  
Thermo Electric ◽  
Electric Model ◽  
Pv Module

An operating temperature of the photovoltaic (PV) module greatly affects performance and its lifetime. Therefore, it is essential to evaluate operating temperature of the photovoltaic module in different weather conditions and how it affects its performance. The primary objective of this paper is to present a dynamic thermo-electric model for determining the temperature and output power of the photovoltaic module. The presented model is validated with field measurement at the Institute of Energy Technology, Faculty of Energy Technology, University of Maribor, Slovenia. The presented model was compared with other models in different weather conditions, such as clear, cloudy and overcast. The evaluation was performed for the operating temperature and output power of the photovoltaic module using Root-Mean-Square-Error (RMSE) and Mean-Absolute-Error (MAE). The average RMSE and MAE values are 1.75 °C and 1.14 °C for the thermal part and 20.34 W and 10.97 W for the electrical part.

scholarly journals Performance Analysis of Photovoltaic Module with Different Passive Cooling Methods

2021 ◽  
Vol 945 (1) ◽  
pp. 012016
Author(s):  
Muhammad Arif bin Azahari ◽  
Chua Yaw Long ◽  
Koh Yit Yan
Keyword(s):  
Output Power ◽  
Cooling System ◽  
Operating Temperature ◽  
Passive Cooling ◽  
Photovoltaic Module ◽  
Back Side ◽  
Cooling Systems ◽  
Pv Module ◽  
Passive Cooling Systems ◽  
Cotton Wick

Abstract This paper analyses the difference in terms of performance of passive cooling systems for photovoltaic (PV) modules. The objective of this paper is to identify which passive cooling systems offers the best results in reducing the operating temperature and improving the generation of output power. The performance of photovoltaic (PV) module will gradually decrease as the operating temperature increases. The energy from the sun’s photons are not enough to knock out the electrons from the atom to generate more electricity. That being the case, two passive cooling systems is developed which is the cotton wick structures with water and aluminium fins were attached to the back side of the photovoltaic (PV) module. The cotton wick structures with water utilises the capillary action of the water to extract excess heat from the module while the aluminium fins act as a heat sink that can remove heat from module to the adjacent air. Results showed that the cooling systems managed to enhance the output power by an average of 3.94% for the module with cotton wick structures with water while an average of 2.67% increment for the module under aluminium fin mounted as the cooling system.

Simulation and Model Validation of the Surface Cooling System for Improving the Power of a Photovoltaic Module

2011 ◽  
Vol 133 (4) ◽  
Author(s):  
Dong-Jun Kim ◽  
Dae Hyun Kim ◽  
Sujala Bhattarai ◽  
Jae-Heun Oh
Keyword(s):  
Crystalline Silicon ◽  
Cooling System ◽  
Model Performance ◽  
Water Circulation ◽  
Photovoltaic Module ◽  
Maximum Deviation ◽  
Power Module ◽  
Surface Cooling ◽  
Transient Model ◽  
Pv Module

One of the unique features of photovoltaic (PV) modules is the power drop that occurs as the silicon temperature increases due to the characteristics of the crystalline silicon used in a solar cell. To overcome this reduction in power, module surface cooling using water circulation was employed. The model performance was then conceptually evaluated and experimentally verified. A transient model was developed using energy balances and heat and mass transfer relationships from various other sources to simulate the surface cooling system. The measurements were in good agreement with the model predictions. The maximum deviation between the measured and predicted water and silicon temperature differed by less than 4 °C. The maximum power enhancement in response to the cooling was 11.6% when compared with a control module. The surface cooling system also washed the module surface via water circulation, which resulted in an additional power up of the PV module in response to removal of the particles that interfere with solar radiation from the surface of the PV module. Accordingly, the cooling system could reduce maintenance costs and prevent accidents associated with cleaning. In addition, the increase in cooling water temperature can serve as a heat source. The system developed here can be applied to existing photovoltaic power generation facilities without any difficulties as well.

scholarly journals Comparison of the input photovoltaic water pump with and without floating cooling system

2020 ◽  
Vol 331 ◽  
pp. 03002
Author(s):  
Yusnaini Arifin ◽  
Muhammad Sarjan ◽  
Aristo Indrajaya
Keyword(s):  
Cooling System ◽  
Power Input ◽  
Input Power ◽  
Photovoltaic Module ◽  
Water Pump ◽  
Pv System ◽  
Cooling Method ◽  
Higher Power ◽  
Water Pumps ◽  
Period Measurement

Solar water pumps are one of the solar technologies that is becoming popular to fulfil the water requirement, particularly in the areas with limited or no access to electricity. However, the voltage of photovoltaic (PV), one of solar technology, drops as the temperature rises. Therefore, efforts are required to lower the temperature in the photovoltaic. This study aimed to observe the effect of cooling PV on direct-coupled water pump, motor and pump connected directly to PV. In this study, the cooling method used is floating method. Two module of PV were used. A photovoltaic module is firmly installed on an artificial pool as a cooling PV and the other without cooling. The results showed that a cooling photovoltaic (PV) produced higher power output transferred to motor and pump and had higher efficiency. In general, the power generated during the period measurement by PV with cooling is greater than that of PV without a cooling method. At 17:00 pm, when the intensity reaches 236 W/m2, the direct-coupled water pump with cooling PV system is able to operate with 9. 9484 W of power input. Meanwhile, under the same intensity, the water pump without cooling PV come into a halt, with 8. 6597 W of the input power.

scholarly journals Evaluation and Design of Power Controller of Two-Axis Solar Tracking by PID and FL for a Photovoltaic Module

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Joel J. Ontiveros ◽  
Carlos D. Ávalos ◽  
Faustino Loza ◽  
Néstor D. Galán ◽  
Guillermo J. Rubio
Keyword(s):  
Fuzzy Logic ◽  
Output Power ◽  
Tracking System ◽  
Weather Conditions ◽  
Lower Percentage ◽  
Photovoltaic Module ◽  
The Sun ◽  
Photovoltaic Modules ◽  
Solar Tracking ◽  
Solar Tracker

Solar trackers represent an essential tool to increase the energy production of photovoltaic modules compared to fixed systems. Unlike previous technologies where the aim is to keep the solar rays perpendicular to the surface of the module and obtain a constant output power, this paper proposes the design and evaluation of two controllers for a two-axis solar tracker, which maintains the power that is produced by photovoltaic modules at their nominal value. To achieve this, mathematical models of the dynamics of the sun, the solar energy obtained on the Earth’s surface, the two-axis tracking system in its electrical and mechanical parts, and the solar cell are developed and simulated. Two controllers are designed to be evaluated in the solar tracking system, one Proportional-Integral-Derivative and the other by Fuzzy Logic. The evaluation of the simulations shows a better performance of the controller by Fuzzy Logic; this is because it presents a shorter stabilization time, a transient of smaller amplitude, and a lower percentage of error in steady-state. The principle of operation of the solar tracking system is to promote the orientation conditions of the photovoltaic module to generate the maximum available power until reaching the nominal one. This is possible because it has a gyroscope on the surface of the module that determines its position with respect to the hour angle and altitude of the sun; a data acquisition card is developed to implement voltage and current sensors, which measure the output power it produces from the photovoltaic module throughout the day and under any weather conditions. The results of the implementation demonstrate that a Fuzzy Logic control for a two-axis solar tracker maintains the output power of the photovoltaic module at its nominal parameters during peak sun hours.

scholarly journals An Improved Whale Algorithm for Support Vector Machine Prediction of Photovoltaic Power Generation

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 212
Author(s):  
Yu-Wei Liu ◽  
Huan Feng ◽  
Heng-Yi Li ◽  
Ling-Ling Li
Keyword(s):  
Support Vector Machine ◽  
Prediction Model ◽  
Output Power ◽  
Input Data ◽  
Support Vector Machine Model ◽  
Weather Conditions ◽  
Clean Energy ◽  
Support Vector ◽  
Machine Model ◽  
Photovoltaic Power

Accurate prediction of photovoltaic power is conducive to the application of clean energy and sustainable development. An improved whale algorithm is proposed to optimize the Support Vector Machine model. The characteristic of the model is that it needs less training data to symmetrically adapt to the prediction conditions of different weather, and has high prediction accuracy in different weather conditions. This study aims to (1) select light intensity, ambient temperature and relative humidity, which are strictly related to photovoltaic output power as the input data; (2) apply wavelet soft threshold denoising to preprocess input data to reduce the noise contained in input data to symmetrically enhance the adaptability of the prediction model in different weather conditions; (3) improve the whale algorithm by using tent chaotic mapping, nonlinear disturbance and differential evolution algorithm; (4) apply the improved whale algorithm to optimize the Support Vector Machine model in order to improve the prediction accuracy of the prediction model. The experiment proves that the short-term prediction model of photovoltaic power based on symmetry concept achieves ideal accuracy in different weather. The systematic method for output power prediction of renewable energy is conductive to reducing the workload of predicting the output power and to promoting the application of clean energy and sustainable development.

scholarly journals Multi-dimensional optimization of In0.53Ga0.47As thermophotovoltaic cell using real coded genetic algorithm

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mansur Mohammed Ali Gamel ◽  
Pin Jern Ker ◽  
Hui Jing Lee ◽  
Wan Emilin Suliza Wan Abdul Rashid ◽  
M. A. Hannan ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Output Power ◽  
Waste Heat ◽  
Antireflection Coating ◽  
Base Layer ◽  
Average Percentage ◽  
Cell Efficiency ◽  
Design Variables ◽  
Real Coded Genetic Algorithm ◽  
Dimensional Optimization

AbstractThe optimization of thermophotovoltaic (TPV) cell efficiency is essential since it leads to a significant increase in the output power. Typically, the optimization of In0.53Ga0.47As TPV cell has been limited to single variable such as the emitter thickness, while the effects of the variation in other design variables are assumed to be negligible. The reported efficiencies of In0.53Ga0.47As TPV cell mostly remain < 15%. Therefore, this work develops a multi-variable or multi-dimensional optimization of In0.53Ga0.47As TPV cell using the real coded genetic algorithm (RCGA) at various radiation temperatures. RCGA was developed using Visual Basic and it was hybridized with Silvaco TCAD for the electrical characteristics simulation. Under radiation temperatures from 800 to 2000 K, the optimized In0.53Ga0.47As TPV cell efficiency increases by an average percentage of 11.86% (from 8.5 to 20.35%) as compared to the non-optimized structure. It was found that the incorporation of a thicker base layer with the back-barrier layers enhances the separation of charge carriers and increases the collection of photo-generated carriers near the band-edge, producing an optimum output power of 0.55 W/cm2 (cell efficiency of 22.06%, without antireflection coating) at 1400 K radiation spectrum. The results of this work demonstrate the great potential to generate electricity sustainably from industrial waste heat and the multi-dimensional optimization methodology can be adopted to optimize semiconductor devices, such as solar cell, TPV cell and photodetectors.

scholarly journals A Study of the Electrical Output and Reliability Characteristics of the Crystalline Photovoltaic Module According to the Front Materials

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 163
Author(s):  
Jong Rok Lim ◽  
Woo Gyun Shin ◽  
Chung Geun Lee ◽  
Yong Gyu Lee ◽  
Young Chul Ju ◽  
...  
Keyword(s):  
Surface Film ◽  
Front Surface ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Reliability Test ◽  
Tempered Glass ◽  
Characteristic Analysis ◽  
Pv Module ◽  
Reliability Characteristics ◽  
Electrical Output

In recent years, various types of installations such as floating photovoltaic (PV) and agri-voltaic systems, and BIPV (building integrated photovoltaic system) have been implemented in PV systems and, accordingly, there is a growing demand for new PV designs and materials. In particular, in order to install a PV module in a building, it is important to reduce the weight of the module. The PV module in which low-iron, tempered glass is applied to the front surface, which is generally used, has excellent electrical output and reliability characteristics; however, it is heavy. In order to reduce the weight of the PV module, it is necessary to use a film or plastic-based material, as opposed to low-iron, tempered glass, on the front surface. However, if a material other than glass is used on the front of the PV module, various problems such as reduced electrical output and reduced reliability may occur. Therefore, in this paper, a PV module using a film instead of glass as the front surface was fabricated, and a characteristic analysis and reliability test were conducted. First, the transmittance and UV characteristics of each material were tested, and one-cell and 24-cell PV modules were fabricated and tested for electrical output and reliability. From the results, it was found that the transmittance and UV characteristics of the front material were excellent. In addition, the electrical output and reliability test results confirmed that the front-surface film was appropriate for use in a PV module.

Design of cooling system for inspection manipulator and analysis based on experiment

2016 ◽  
Vol 43 (2) ◽  
pp. 231-240 ◽  
Author(s):  
Tan Chen ◽  
Wei-jun Zhang ◽  
Jian-jun Yuan ◽  
Liang Du ◽  
Ze-yu Zhou
Keyword(s):  
High Temperature ◽  
Cooling System ◽  
Insulation Material ◽  
Water Cooling ◽  
Content Type ◽  
Cooling Method ◽  
Temperature Experiment ◽  
Gas Cooling ◽  
Loop Feedback ◽  
Electrical Components

Purpose – This paper aims to present a different cooling method (water cooling) to protect all the mechanical/electrical components for Tokamak in-vessel inspection manipulator. The method is demonstrated effective through high temperature experiment, which provides an economical and robust approach for manipulators to work normally under high temperature. Design/methodology/approach – The design of cooling system uses spiral copper tube structure, which is versatile for all types of key components of manipulator, including motors, encoders, drives and vision systems. Besides, temperature sensors are set at different positions of the manipulator to display temperature data to construct a close-loop feedback control system with cooling components. Findings – The cooling system for the whole inspection manipulator working under high temperature is effective. Using insulation material such as rubber foam as component coating can significantly reduce the environmental heat transferred to cooling system. Originality/value – Compared with nitrogen gas cooling applied in robotic protection design, although it is of less interest in prior research, water cooling method proves to be effective and economical through our high temperature experiment. This paper also presents an energetic analysis method to probe into the global process of water cooling and to evaluate the cooling system.

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