EVALUATION OF SOLAR ENERGY AND SELECTION OF OPTIMAL TILT ANGLE OF SOLAR PANELS FOR CONDITIONS IN SYRIA

2018 ◽  
pp. 12-27
Author(s):  
A. Ramadan ◽  
V. V. Elistratov
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Tilt Angle ◽  
Interpolation Method ◽  
Solar Panels ◽  
Inclined Surfaces ◽  
Distance Weighted ◽  
Inclined Surface ◽  
Inverse Distance ◽  
Selection Of

The article suggests the method for calculating the solar radiation on a horizontal surface of the territory of Syria which has been developed using the weather database of NASA and ArcGIS software to create the atlases of Syria. In order to compute the solar radiation on an inclined surface for Syria, the following steps were taken. Firstly, the method proposed by Liu and Jordan (1962) and developed by Klein (1977) was used and applied at a point with a latitude of 33º and a longitude of 36º in Syria to calculate the total average daily monthly and yearly solar radiation on an inclined surface and its components (direct, diffuse and ground reflected). Secondly, the annual and monthly values of the optimal tilt angle of the solar panels were determined. Thirdly, verification of reliability and accuracy of calculations was carried out. Finally, using the interpolation method (inverse distance weighted IDW) in ArcGIS, the method proposed was applied to 63 points that covered the territory of Syria. Thus, we developed an Atlas of Syria of solar radiation on an inclined surface which characterized by the optimal tilt angles of solar panels and the maximum annual solar radiation on an inclined surface under these angles. Solar Radiation Atlas of Syria shows that the annual optimal tilt angle of the solar panels varies in the range from 23º to 28º and the maximum average annual solar radiation on an inclined surface under these angles varies in the range from 1859 to 2069 kWh/m2·year. In addition, on the basis of the NASA meteorological database, we determined the average total gross (natural) potential of solar energy on optimal inclined surfaces in Syria which is 362.1·103 TWh per year.

scholarly journals Solar Radiation–The Estimation of the Optimum Tilt Angles for South-Facing Surfaces in Pristina

2017 ◽  
Author(s):  
Xhevat Berisha ◽  
Arianit Zeqiri ◽  
Drilon Meha
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Tilt Angle ◽  
Electrical Power ◽  
Flat Surfaces ◽  
Incident Plane ◽  
Energy Gains ◽  
Analysis Models ◽  
Inclined Surface

Solar energy is derived from photons of light coming from the sun in a form called radiation. Solar energy finds extensive application in air and water heating, solar cooking, as well as electrical power generation, depending on the way of capturing, converting and distribution. To enable such application, it is necessary to analyze the horizontal tilt angle of horizontal surfaces – in order that when the solar energy reaches the earth surface to be completely absorbed. This paper tends to describe the availability of solar radiation for south-facing flat surfaces. The optimal monthly, seasonal, and annual tilt angles have been estimated for Pristina. The solar radiation received by the incident plane is estimated based on isotropic sky analysis models, namely Liu and Jordan model. The annual optimum tilt angle for Pristina was found to be 34.7°. The determination of annual solar energy gains is done by applying the optimal monthly, seasonal and annual tilt angles for an inclined surface compared to a horizontal surface. Monthly, seasonal and annual percentages of solar energy gains have been estimated to be 21.35%, 19.98%, and 14.43%. Losses of solar energy were estimated by 1.13 % when a surface was fixed at a seasonal optimum tilt angle, and when it was fixed at an annual optimum tilt angle, those losses were 5.7%.

scholarly journals Estimation of Global Solar Radiation and Optimal Tilt Angles of Solar Panels for Pune, India

2021 ◽  
Vol 16 (1) ◽  
pp. 85-90
Author(s):  
Pramod Manjunath ◽  
D. Devaprakasam ◽  
Dipen Paul
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Tilt Angle ◽  
Global Solar Radiation ◽  
Solar Panels ◽  
Monthly Average ◽  
Final Yield ◽  
Average Relative Humidity ◽  
The Right ◽  
Maximum Utilization

Solar panels can achieve the highest yield when they are oriented in the right way as the influence of the tilt angles can lead to a high impact on the performance. This paper demonstrates the effect of the tilt angle on the final yield and maximum utilization of solar energy. The annual optimal tilt angle of the solar panels for Pune was found out using the Liu and Jordan model. The optimal tilts yielding an increase of 7% was found out to be 0° on the months starting from April and lasting till September and 40° starting from October and holding at 40° till March. By changing the tilt angle every month, there was an increase in the yield by more than 8%. For better yield and maximum utilization of solar energy, optimizing the tilt angles of solar panels monthly or even twice a year is effective based on the study. Most of the panels are fixed at an angle equal to the latitude of the place and oriented towards the Southern sky in the northern hemisphere. Measurements of the monthly average global solar radiation, monthly average temperatures, and monthly average relative humidity were compared. Further ahead regression correlation for a linear model was carried and the regression coefficients a and b were found out to be 0.2804 and 0.3618 respectively.

Preliminary results on the determination of solar energy potential using LiDAR technology

2015 ◽  
Vol 6 (1) ◽  
pp. 11-17 ◽  
Author(s):  
G. Szabó ◽  
P. Enyedi ◽  
Gy. Szabó ◽  
I. Fazekas ◽  
T. Buday ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Energy Production ◽  
Alternative Energy ◽  
Surface Model ◽  
Solar Panels ◽  
Energy Potential ◽  
Potential Surfaces ◽  
Large Power ◽  
Automatic Data

According to the challenge of the reduction of greenhouse gases, the structure of energy production should be revised and the increase of the ratio of alternative energy sources can be a possible solution. Redistribution of the energy production to the private houses is an alternative of large power stations at least in a partial manner. Especially, the utilization of solar energy represents a real possibility to exploit the natural resources in a sustainable way. In this study we attempted to survey the roofs of the buildings with an automatic method as the potential surfaces of placing solar panels. A LiDAR survey was carried out with 12 points/m2 density as the most up-to-date method of surveys and automatic data collection techniques. Our primary goal was to extract the buildings with special regard to the roofs in a 1 km2 study area, in Debrecen. The 3D point cloud generated by the LiDAR was processed with MicroStation TerraScan software, using semi-automatic algorithms. Slopes, aspects and annual solar radiation income of roof planes were determined in ArcGIS10 environment from the digital surface model. Results showed that, generally, the outcome can be regarded as a roof cadaster of the buildings with correct geometry. Calculated solar radiation values revealed those roof planes where the investment for photovoltaic solar panels can be feasible.

scholarly journals ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance

2019 ◽  
Vol 11 (23) ◽  
pp. 6802 ◽  
Author(s):  
Adel Alblawi ◽  
M. H. Elkholy ◽  
M. Talaat
Keyword(s):  
Energy Consumption ◽  
Solar Radiation ◽  
Solar Energy ◽  
Relative Error ◽  
Average Energy ◽  
Office Building ◽  
Solar Panels ◽  
Tracking Model ◽  
One Year

Solar energy is considered the greatest source of renewable energy. In this paper, a case study was performed for a single-axis solar tracking model to analyze the performance of the solar panels in an office building under varying ambient temperatures and solar radiation over the course of one year (2018). This case study was performed in an office building at the College of Engineering at Shaqra University, Dawadmi, Saudi Arabia. The office building was supplied with electricity for a full year by the designed solar energy system. The study was conducted across the four seasons of the studied year to analyze the performance of a group of solar panels with the total capacity of a 4 kW DC system. The solar radiation, temperature, output DC power, and consumed AC power of the system were measured using wireless sensor networks (for temperature and irradiance measurement) and a signal acquisition system for each hour throughout the whole day. A single-axis solar tracker was designed for each panel (16 solar panels were used) using two light-dependent resistors (LDR) as detecting light sensors, one servo motor, an Arduino Uno, and a 250 W solar panel installed with an array tilt angle of 21°. Finally, an artificial neural network (ANN) was utilized to estimate energy consumption, according to the dataset of AC load power consumption for each month and the measurement values of the temperature and irradiance. The relative error between the measured and estimated energy was calculated in order to assess the accuracy of the proposed ANN model and update the weights of the training network. The maximum absolute relative error of the proposed system did not exceed 2 × 10−4. After assessment of the proposed model, the ANN results showed that the average energy in the region of the case study from a 4 kW DC solar system for one year, considering environmental impact, was around 8431 kWh/year.

scholarly journals Local Tilt Optimization of Photovoltaic Solar Panels for Maximum Radiation Absorption

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Mauro Masili ◽  
Liliane Ventura
Keyword(s):  
Solar Radiation ◽  
Tilt Angle ◽  
Spectral Response ◽  
Solar Spectrum ◽  
Weather Conditions ◽  
Solar Irradiation ◽  
Radiation Absorption ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Solar Panels

Incident solar radiation on photovoltaic (PV) solar panels is not constant throughout the year. Besides dependence on the season, solar radiation is reliant on the location and weather conditions. For a given location on Earth, the best-fixed orientation of a PV panel can be determined by achieving the maximum incident solar irradiance throughout the year or for a predetermined period. In this paper, we use a sophisticated atmospheric radiative transfer model to calculate the direct and diffuse solar irradiation (radiant exposure) for the solar spectrum incident on PV solar panels to determine the best tilt angle of the panel in order to maximize absorption of solar radiation for selected periods. We used the Regula-Falsi numerical method to obtain the tilt angle at which the derivative of solar irradiation (concerning the tilt angle) approaches zero. Moreover, the spectral response of typical silicon cells is taken into account. These calculations were carried out in São Carlos (SP), a town in the southeast of Brazil. The best tilt angle was obtained for three selected periods. Additionally, we provide results for Southern latitudes ranging from 0° to −55° in steps of −5° for the meteorological seasons. We have shown that for each period, there is an increase in solar radiation absorption compared to the traditional installation angle based exclusively on the local latitude. These calculations can be extended to any location.

The Ocean Temperature Reconstruction of Center Tropical Cyclone Based on Argo

2013 ◽  
Vol 864-867 ◽  
pp. 2171-2174
Author(s):  
Jiong Zhu ◽  
Jian Cheng Kang
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Interpolation Method ◽  
Temperature Reconstruction ◽  
Sea Surface ◽  
Weighted Interpolation ◽  
Distance Weighted ◽  
Inverse Distance Weighted Interpolation ◽  
Inverse Distance ◽  
Upper Boundary

There is a correlation between sea surface temperature of the upper boundary waters and the intensity of typhoon. This paper analyzes the use of Argo float data and using inverse distance weighted interpolation method to calculate its internal regional sea surface temperature, when typhoon and other data were compared and error analysis. The results showed that: the method is reliable. When you select a point closer distance calculation and spatial distribution of Argo floats as closely as possible, the weight coefficients taken 2, known buoy number is 4-6, the relative error of calculated is less than 0.4%, RMSE error is less than 1.2 in the 0-600m depth layer

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.

scholarly journals Determination of the best interpolation method in estimating the concen-tration of environmental air pollutants in Tehran city in 2015

2019 ◽  
Author(s):  
Akbar Eslami ◽  
Seyed Mehdi Ghasemi
Keyword(s):  
Interpolation Method ◽  
Ambient Air ◽  
Air Concentration ◽  
Pearson Coefficient ◽  
Distance Weighted ◽  
Kolmogorov Smirnov ◽  
Environmental Air ◽  
Inverse Distance ◽  
Better Than

Introduction: Air pollution is one of the important issues in developing coun-tries, due to increased population and industrialization. In this research, the spatial distribution of ambient air concentration such as CO, NO2, SO2, PM2.5, PM10, O3 and Air quality Index (AQI) in Tehran city in 2015 were evaluated using different deterministic ( inverse distance weighted, local polynomial, global polynomial, radial basis functions) and geostatistical (Kriging, Cokrig-ing) methods.   Materials and methods: Root Mean Square Error (RMSE) and Mean Error (ME) using cross-evaluation methods were used to control the accuracy of the interpolation. To find the secondary variables in the cokriging method, the Pearson coefficient of each pollutant was calculated with another pollutant.   Results: The Kolmogorov-Smirnov test showed that all data followed normal distribution. Also the results indicated that in most cases, geostatistical meth-ods were the best methods to estimate ambient air concentration. Finally, after selecting the best interpolation method, the zoning map of the pollutant was drawn with ArcGIS.   Conclusion: The results of 71 methods showed that in most cases, the geosta-tistical method is better than the deterministic method

scholarly journals The optimum tilt angle and orientation for Solar panels

2019 ◽  
pp. 259-263
Author(s):  
Eman Mohammed
Keyword(s):  
Solar Radiation ◽  
Output Power ◽  
Tilt Angle ◽  
Radiation Power ◽  
Measurement Data ◽  
Power Production ◽  
Solar Panels ◽  
Actual Measurement ◽  
Relationship Of ◽  
The Relationship

In this paper we present evaluated the performance of four small PV modules at different tilt angle and analyze the relationship of solar radiation power Production with the angle by using actual measurement data for all months of the year and in August specially. And then study the relationship between the solar radiation and output power. We installed these panels in four angles at 0°, 15°, 30°, 45°, and fixed solar panel all the month of the year and fixed in august especially to study the daily solar radiation in summer .The results indicate that the highest output power of the PV is obtain in July at the 35° tilt surface for all day’s year.

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