Simulation and Optimization of a Concentrated Photovoltaic System

2005 ◽  
Vol 128 (2) ◽  
pp. 139-145 ◽  
Author(s):  
I. Mahderekal ◽  
C. K. Halford ◽  
R. F. Boehm
Keyword(s):  
Numerical Model ◽  
Conversion Efficiency ◽  
Cooling System ◽  
Photovoltaic System ◽  
Weather Data ◽  
Entire System ◽  
Simulation And Optimization ◽  
Size Number ◽  
Input Parameters ◽  
Fan Speed

Reported here is the development, using results of analysis and experiments, and optimization of a numerical model for a concentrated photovoltaic system. Models for the two major components of the system (cooling system and receiver) are developed separately from one another and then linked to simulate the performance for the entire system. The model is linked to yearly weather data and the optimization routines included in MATLAB are then used to select the input parameters (pump size, number of radiators, fan speed, etc.) which maximize the solar to electrical conversion efficiency of the system.

scholarly journals Simulation of Concentrated Photovoltaic Cooling System

Solar Energy ◽  
2004 ◽  
Author(s):  
Christopher Halford ◽  
Robert F. Boehm
Keyword(s):  
Cooling System ◽  
Ambient Air ◽  
System Model ◽  
Pv System ◽  
Actual Performance ◽  
Backing Plate ◽  
Size Number ◽  
Fan Speed ◽  
The Individual ◽  
Selection Of

This paper reports work underway in converting a dish-Stirling system to a dish-PV system at UNLV. The existing SAIC dish–Stirling system is being retrofitted with new fixed-focus facets and an Amonix photovoltaic receiver to replace the Stirling engine/generator package. As is the case with photovoltaic systems generally, the Amonix cells being used in this application lose efficiency as their temperatures increase. To combat this effect, cooling is provided by circulating liquid through channels in the backing plate. The liquid is then pumped through an array of automotive type radiators and the excess heat is rejected to the ambient air. Reported here is the development of a numerical model for the cooling system, with specific attention being paid to the transient response. Experimental data is taken to determine the various properties of the individual components to be used in the system and this data is used in a MatLab-based simulation. The cooling system model can then be linked to a similar model for the receiver and cell assembly and the optimization functions included in MatLab can be used to select the input parameters (pump size, number of radiators, fan speed, etc.) that maximize the overall efficiency of the system. The predictions of the model can be used in the selection of the final cooling system design and the validity of the model can be checked against the actual performance of the unit.

Research on Control Strategy of Hydro-Viscous Driven Fan Cooling System

2014 ◽  
Vol 722 ◽  
pp. 182-189
Author(s):  
Li Gang Ma ◽  
Chang Le Xiang ◽  
Tian Gang Zou ◽  
Fei Hong Mao
Keyword(s):  
Control Strategy ◽  
Cooling System ◽  
Fuzzy Pid ◽  
Loop Control ◽  
Speed Regulation ◽  
Temperature Feedback ◽  
Loop Control System ◽  
System Temperature ◽  
Fan Cooling ◽  
Fan Speed

The paper proposes a cascade control strategy of speed feedback in inner loop and temperature feedback in outer ring for hydro-viscous driven fan cooling system, and compares the simulation of PID and fuzzy PID. The simulation result shows that the double-loop control system while the response time longer, but much smaller overshoot, can achieve a good feedback to adjust the fan speed and temperature and realize stepless speed regulation of hydro-viscous driven fan cooling system under the premise of stability for fan speed and system temperature.

scholarly journals Performance Study of a Floricultural Greenhouse Surrounded by Shallow Water Ponds

2017 ◽  
Vol 6 (2) ◽  
pp. 137
Author(s):  
Debajit Misra ◽  
Sudip Ghosh
Keyword(s):  
Shallow Water ◽  
Water Surface ◽  
Natural Ventilation ◽  
Cooling System ◽  
Evaporative Cooling ◽  
Free Water ◽  
Weather Data ◽  
Ventilation Mode ◽  
Performance Study ◽  
Tropical Regions

In the present paper, an innovative low energy-intensive evaporative cooling system has been proposed for greenhouse application in near-tropical regions dominated by hot climate. The system can operate under dual- ventilation mode to maintain a favourable microclimate inside the greenhouse. A single ridge type un-even span greenhouse has been considered, targeting a few species of Indian tropical flowers. The greenhouse has a continuous roof vent as well as adjustable side vents and is equipped with exhaust fans on top and roll-up curtains on the sides. The greenhouse is surrounded by shallow water ponds outside its longitudinal walls and evaporative surfaces partially cover the free water surface. Inside the pond, low cost evaporative surfaces are so placed that they form air channels.  Thus, outside air flows through the channels formed by the wetted surfaces over the water surface and undergoes evaporative cooling before entering the greenhouse. A simplified theoretical model has been presented in this paper to predict the inside greenhouse air temperature while ambient weather data are used as model inputs. The study reveals that during average radiation periods, the greenhouse can depends solely on natural ventilation and during peak radiation hours fan-induced ventilation is needed to maintain the required level of temperature. It is seen that under dual-ventilation mode greenhouse, temperature can be kept 3-6 oC lower than ambient temperature when saturation effectiveness is 0.7 and with 75% shading. Keywords: Greenhouse, Evaporative Cooling, Ventilation, Saturation Effectiveness, Wetted SurfaceArticle History: Received February 25th 2017; Received in revised form April 14th 2017; Accepted May 4th 2017; Available onlineHow to Cite This Article: Misra, D. and Ghosh, S., (2017) Performance Study of a Floricultural Greenhouse Surrounded by Shallow Water Ponds. International Journal of Renewable Energy Develeopment, 6(2), 137-144.https://doi.org/10.14710/ijred.6.2.137-144

scholarly journals Modeling a Passive Cooling System for Photovoltaic Cells Under Concentration

2007 ◽  
Author(s):  
Allison Gray ◽  
Robert Boehm ◽  
Kenneth W. Stone
Keyword(s):  
Solar Irradiance ◽  
Waste Heat ◽  
Cooling System ◽  
Photovoltaic Cells ◽  
Theoretical Data ◽  
Photovoltaic System ◽  
Passive Cooling ◽  
Cell Temperature ◽  
Worst Case ◽  
Passive Cooling System

Cooling of photovoltaic cells under high intensity solar irradiance is a major concern when designing concentrating photovoltaic systems. The cell temperature will increase if the waste heat is not removed and the cell voltage/power will decrease with increasing cell temperature. This paper presents an analysis of the passive cooling system on the Amonix high concentration photovoltaic system (HCPV). The concentrator geometry is described. A model of the HCPV passive cooling system was made using Gambit. Assumptions are discussed that were made to create the numerical model based on the actual system, the methods for drawing the model is discussed, and images of the model are shown. Fluent was used to compute the numerical results. In addition to the theoretical results that were computed, measurements were made on a system in the field. These data are compared to the theoretical data and differences are calculated. Theoretical conditions that were studied included uniform cell temperatures and worst case weather scenarios, i.e., no wind, high ambient conditions, and high solar irradiance. The performance of the Amonix high concentrating system could be improved if more waste heat were removed from the cell. Now that a theoretical model has been developed and verified, it will be used to investigate different designs and material for increasing the cooling of the system.

scholarly journals Modelling the impact of microbial contamination of fuel filtration efficiency

2017 ◽  
Vol 169 (2) ◽  
pp. 133-136
Author(s):  
Rafał KRAKOWSKI
Keyword(s):  
Numerical Model ◽  
Microbial Contamination ◽  
Petroleum Products ◽  
Filtration Efficiency ◽  
The Other ◽  
Entire System ◽  
Factors Influencing ◽  
Three Stages ◽  
The Impact ◽  
Growth Of Bacteria

In this paper the concept of filtration and the problem of microbial contamination occurring in the fuels and oils was presented. Then the factors influencing the growth of bacteria in petroleum products were described in detail. In the next part of the article modeling of the impact of fuel microbial contamination on filtration efficiency was performed. The modeling presented in the article is an example showing how undesirable phenomenon is the microbial contamination and how pollution affects the other elements of the entire system. As part of the modeling, numerical model of filtration with the solution was presented. Then analysis results on the basis of the impurities concentration characteristics in the fuel as a function of the fouling thickness in the partition of the filter is performed. The development of impurities was divided into three stages. In the article for one case the trend line was presented. The article was completed conclusions.

scholarly journals Active cooling photovoltaic with IoT facility

2021 ◽  
Vol 12 (3) ◽  
pp. 1494
Author(s):  
Muhammad Nizam Kamarudin ◽  
Sahazati Md. Rozali ◽  
Mohd Saifuzam Jamri
Keyword(s):  
Real Time ◽  
Cooling System ◽  
Solar Panel ◽  
State Of Charge ◽  
Photovoltaic System ◽  
Passive Cooling ◽  
Active Cooling ◽  
Passive Cooling System ◽  
Pv Power Generation ◽  
Sunlight Intensity

Harvesting energy from the sun makes the photovoltaic (PV) power generation a promising technology. To obtain a consistent state of charge (SOC), consistent energy must be harvested and efficiently directed to the battery. Overcharging or undercharging phenomena decreases the lifetime of the battery. Besides, the effect of irradiance toward solar in term of sunlight intensity effects the efficiency and hence, sluggish the SOC. The main problem of the solar panel revealed when the temperature has increased, the efficiency of solar panel will also be decreased. This manuscript reports the finding of developing an automatic active cooling system for a solar panel with a real time energy monitoring system with internet-of-things (IoT) facility. The IoT technology assists user to measure the efficiency of the solar panel and SOC of the battery in real time from any locations. The automatic active cooling system is designed to improve the efficiency of the solar panel. The effectiveness of the proposed system is proven via the analysis of the effect of active cooling toward efficiency and SOC of photovoltaic system. The results also tabulate the comparative studies of active-to-passive cooling system, as well as the effect of cooling towards SOC and efficiency of the solar panel.

scholarly journals Simulation and optimization of the cascaded luminescent solar concentrator photovoltaic system

2012 ◽  
Vol 61 (3) ◽  
pp. 034201
Author(s):  
Geng Jun-Jie ◽  
Zhang Jun ◽  
Zhang Yi ◽  
Ding Jian-Jun ◽  
Sun Song ◽  
...  
Keyword(s):  
Photovoltaic System ◽  
Solar Concentrator ◽  
Simulation And Optimization ◽  
Luminescent Solar Concentrator

Investigation of Parameter Effect to Performance of Battery's Cooling System

2012 ◽  
Vol 538-541 ◽  
pp. 2015-2019
Author(s):  
Zhen Zhe Li ◽  
Xiao Ming Pan ◽  
Ming Ren ◽  
Mei Qin Li ◽  
Gui Ying Shen
Keyword(s):  
Energy Consumption ◽  
Fuel Cell ◽  
Numerical Model ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Cooling System ◽  
Analysis Model ◽  
Hybrid Electric

With the heightened concern for energy consumption and environment conservation, the interest on fuel cell HEV (hybrid electric vehicle) has been greatly increased. In this study, a numerical model for the cooling system of batteries was constructed. Using the constructed analysis model, the material of the cartridge and the cartridge width were checked for improving the performance of the cooling system of batteries. The performance was changed by using different cartridge material, and the cartridge width also has an effect to the performance of the cooling system of batteries as shown in the analysis results. The constructed model and method can be used to investigate the performance of the cooling system of batteries.

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