Solar Radiation Prediction Model for Solar Panel and Thermal Collectors in Malaysia

2013 ◽  
Vol 1 (2) ◽  
pp. 21-27 ◽  
Author(s):  
Sabo Mahmoud Lurwan
Keyword(s):  
Solar Radiation ◽  
Prediction Model ◽  
Solar Panel

scholarly journals Solar panel performance analysis under indonesian tropic climate using sandia PV array performance model and five parameter performance model

2018 ◽  
Vol 67 ◽  
pp. 02048
Author(s):  
Subhan Petrana ◽  
Eko Adhi Setiawan ◽  
Adi Januardi
Keyword(s):  
Solar Radiation ◽  
Performance Model ◽  
Solar Panel ◽  
Effect Of Temperature ◽  
Solar Panels ◽  
Pv Array ◽  
Evaluation And Monitoring ◽  
Array Performance ◽  
The Tropics ◽  
Performance Calculation

Evaluation and monitoring of solar panel are need to be done, primarily related to how much energy is produced. Energy production by a solar panel is affected by the characteristics of climate or weather of a particular location such as solar radiation and ambient temperature. This study aimed to compare two models of solar panel performance calculation, i.e., Sandia PV Array Model and Five Parameter Model by considering the tropical climate of Indonesia and see the effect of temperature and solar radiation changes on the results of the calculations of both methods through the I-V curve. The types of solar panels on monitored are a monocrystalline, polycrystalline, and thin film. The results show that the energy produced by Sandia PV Array Performance Model for the three types of solar panels are 54.36 Wdc, 51.57 Wdc, and 39.62 Wdc, respectively. Five Parameter Performance Model results are 56.58 Wdc, 52.7 Wdc, and 43.29, respectively. These results show that with a small amount of data, the Five Parameter Model is more optimal and efficient for the tropics compared to Sandia PV Array Model.

scholarly journals Optimum Tilt Angle and Orientation of Photovoltaic Thermal System for Application in Greater Toronto Area, Canada

2019 ◽  
Vol 11 (22) ◽  
pp. 6443 ◽  
Author(s):  
Hailu ◽  
Fung
Keyword(s):  
Solar Radiation ◽  
Tilt Angle ◽  
Solar Panel ◽  
Solar Irradiation ◽  
Transfer Model ◽  
Total Solar Radiation ◽  
Outlet Temperature ◽  
Anisotropic Models ◽  
Greater Toronto Area ◽  
Steady State Heat Transfer

We present a study conducted to obtain optimum tilt angle and orientation of a solar panel for the collection of maximum solar irradiation. The optimum tilt angle and orientation were determined using isotropic and anisotropic diffuse sky radiation models (isotropic and anisotropic models). The four isotropic models giving varying optimum tilt angles in the range of 37 to 44°. On the other hand, results of the four anisotropic models were more consistent, with optimum tilt angles ranging between 46–47°. Both types of models indicated that the collector tilt should be changed four times a year to receive more solar radiation. The results also indicate that the solar panel should be installed with orientation west or east of due south with a flatter tilt angle. A 15° change in orientation west or east of due south results in less than 1% reduction of the total solar radiation received. For a given optimum tilt angle, the effect of photovoltaic/thermal (PV/T) orientation west or east of due south on the outlet temperature was determined using a one-dimensional steady state heat transfer model. It was found that there is less than 1.5% decrease in outlet temperature for a PV/T panel oriented up to 15° east or west of due south from March to December. This result indicates that existing roofs with orientations angles up to 15° east or west of due south can be retrofitted with a PV/T system without changing the roof shape.

A Financial Worksheet for Computing the Cost (¢/kWh) of Solar Electricity Generated at Grid Connected Photovoltaic (PV) Generating Plants

2002 ◽  
Vol 124 (3) ◽  
pp. 319-321 ◽  
Author(s):  
Michael Stavy
Keyword(s):  
Solar Radiation ◽  
Cost Of Capital ◽  
Solar Panel ◽  
Maintenance Costs ◽  
Independent Variables ◽  
Levelized Cost ◽  
Solar Plant ◽  
Dependent Variables ◽  
Solar Electricity ◽  
The Cost

This paper discusses the technical, financial, and economic principles underlying the levelized cost method of computing the cost of solar electricity. Topics include the levelized cost method, solar radiation, solar panel efficiency, depreciation, cost of capital, fixed and variable operating and maintenance costs, and taxes. The paper includes the worksheet, “Levelized Cost Worksheet for a 1 kW Solar Electric Generating Plant.” Its benchmark values are for a model solar plant located in Chicago, IL. The paper discusses these benchmark values as it analyzes the worksheet’s constants (capacity-1 kW, 8,760 hr/yr), independent variables (capital cost-$/kW, cost of capital-%, physical life-yr, standard sun hours, fixed and variable O & M expense), and dependent variables (capital amortization expense, capacity factor, cost of solar electricity).

scholarly journals An Algorithm to Determine the Optimum Tilt Angle of a Solar Panel from Global Horizontal Solar Radiation

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Emanuele Calabrò
Keyword(s):  
Solar Radiation ◽  
Tilt Angle ◽  
Correlation Coefficients ◽  
Solar Panel ◽  
Solar Irradiation ◽  
Theoretical Expression ◽  
Solar Panels ◽  
Mean Values ◽  
Diffuse Solar Radiation ◽  
Radiation Data

This paper proposes an algorithm to calculate the optimum tilt angle of solar panels by means of global horizontal solar radiation data, provided from Earth-based meteorological stations. This mathematical modeling is based on the maximization of the theoretical expression of the global solar irradiation impinging on an inclined surface, with respect to the slope and orientation of the panel and to the solar hour angle. A set of transcendent equations resulted, whose solutions give the optimum tilt and orientation of a solar panel. A simulation was carried out using global horizontal solar radiation data from the European Solar Radiation Atlas and some empirical models of diffuse solar radiation. The optimum tilt angle resulted was related to latitude by a linear regression with significant correlation coefficients. The standard error of the mean values resulted increased significantly with latitude, suggesting that unreliable values can be provided at high latitudes.

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