The document summarizes a study on solar irradiation data in Lebanon conducted by LCEC interns in August 2020. It includes background on previous solar irradiation studies from 2005 and describes the methodology used to collect and analyze solar irradiation data from sensors at 11 sites across Lebanon in 2019. The results are presented in tables comparing average monthly global horizontal irradiation from 2019 to 2005 data for three climatic zones in Lebanon: coastal, coastal Bayssour, and inland.
Typical Meteorological Year Report for CSP, CPV and PV solar plantsIrSOLaV Pomares
This technical report analyzes the solar resource available at a site in Northern Cape, South Africa selected to host a solar thermal power plant. It presents a typical meteorological year (TMY) developed using 12 years of hourly solar radiation data for the site. The TMY is generated using a methodology that selects the most representative month from each year for key meteorological variables. It is comprised of months from 2007 to 2010 that best match the long-term averages for global horizontal and direct normal solar radiation at the site. The TMY and long-term averages are presented and show a close match in monthly and daily solar radiation patterns for use in modeling solar power production at the site.
Technical report site assessment of solar resource for a csp plant. correctio...IrSOLaV Pomares
This technical report summarizes a solar resource assessment for a CSP solar project site in Morocco. It details the methodology used by IrSOLaV to estimate solar radiation from satellite images, which has been validated against ground measurements. IrSOLaV corrects initial satellite estimates using on-site meteorological station data, achieving hourly and daily GHI and DNI estimation uncertainties of 12-18% and 5-10%, respectively. The report presents satellite-derived solar radiation data for the project site location from 2011-2013 and compares it to on-site pyranometer and pyrheliometer measurements.
In this work, we have developed a comparison between solar radiation values
measured in Morocco and values estimated by two theoretical models proposed in the
literature by various researchers. The selected site is the synoptic station of the city of
Fez in Morocco, in which meteorological and radiometric data are continuously
collected. For the two chosen theoretical models, the first model is the Barbaro et al
(1977) and Davies el al (1975) model for direct and diffuse rays respectively, based
on the kasten (1980) model for the determination of the Linke turbidity values as an
atmospheric turbidity parameter. The second model differs from the first by using the
Ineichen and Perez (2002) model using atmospheric transmittance for the
determination of the atmosphere turbidity, the transmittance values will be calculated
using the Schillings et al. (2004) model. Comparing the two models applied to the case
of Morocco resulted in the decision that the model of Ineichen and Perez (2002) is
best suited to the climatic conditions in Morocco with the lowest normalized square
error of 7%, taking into account the locals climatic conditions of the site investigated
IRJET- Review on Drought Risk Assessment by using Remote Sensing and GISIRJET Journal
This document summarizes a study that assessed drought risk using remote sensing and GIS. Satellite-derived NDVI data and ground-based precipitation data were analyzed over a 10-year period. Correlations between NDVI, standardized precipitation index (SPI), rainfall anomaly, and food grain anomaly were performed. Results showed SPI can indicate regional crop production. NDVI, SPI, and detrended food grain yield anomaly were linearly correlated, indicating they can efficiently monitor and evaluate food grain output. Different data sources were analyzed spatially and temporally to classify drought risk into very high, high, moderate, slight, and no risk categories based on regression analyses between precipitation, NDVI, and crop yields. The integrated approach aimed to properly deline
Computing net radiation from temperature variables: Improvising for under-res...IOSR Journals
Most weather stations at farms, schools and other research institutes in the developing world do not
have radiation sensors and this is usually attributed to high costs of these sensors. Net radiation as one
component of radiation is important in crop farming as it influences germination, different growth stages, water
demand, size and quality of yield among other things. This article seeks to demonstrate how a series of
mathematical equations with temperature as a key physical quantity can be used to estimate net radiation using
the basic minimum of resources affordable against readings from a standard net radiometer. To achieve this,
daily data of maximum and minimum temperatures for 20 days was used from an automated weather station at
Great Zimbabwe University in Zimbabwe. A standard CNR 1 net radiometer was installed at the station to give
direct net radiation readings for comparison with the computed readings. A correlation between the calculated
net radiation and the measured one gave 90.8% correspondents. Diurnal net radiation was following the
maximum temperature trends. The average cost of a net radiometer sensor was US$ 3.700 which can be too
high for an ordinary farmer or other small research institutes.
At present, with the development of wind power project in China, there are more and more projects located at the complex terrain and complex environment. At the same time, since the large planned area of project, the complex mountain area, and limited number of met mast, even without met mast, in order to the reliable development of the wind power project, it is important that how to do the wind resource assessment without actual measurement wind data and other conditions such as less reliable wind data, and the met mast was not considered representative. This paper will use the atmospheric model to do mesoscale simulation calculation of wind resources, and then combine with CFD technology to downscaling computation to get high resolution wind power assessment result. Finally, in order to confirm the validity of this application in the actual project, the comparison between calculation values and measurement values is carried out. The verification result through the actual data of different met mast shows that the wind resource assessment method which combines the CFD and mesoscale technologies is reliable. The main contribution of the article is to provide the reference model and approach for regional planning and large scale wind resource assessment when there isn’t enough adequate and effective wind data.
Solar radiation ground measured data quality assessment reportIrSOLaV Pomares
This technical report analyzes radiometric data measured at a site in XXX from June 2011 to May 2012. It assesses data quality using various filters and comparisons to clear sky models. Global, diffuse, and direct normal irradiance were measured. The methodology section describes transforming time to true solar time, calculating hourly/daily averages, and quality analysis including physical limits checks and cross-component relationship checks. Graphs of measured and clear sky data are presented and used to visually inspect data quality.
Typical Meteorological Year Report for CSP, CPV and PV solar plantsIrSOLaV Pomares
This technical report analyzes the solar resource available at a site in Northern Cape, South Africa selected to host a solar thermal power plant. It presents a typical meteorological year (TMY) developed using 12 years of hourly solar radiation data for the site. The TMY is generated using a methodology that selects the most representative month from each year for key meteorological variables. It is comprised of months from 2007 to 2010 that best match the long-term averages for global horizontal and direct normal solar radiation at the site. The TMY and long-term averages are presented and show a close match in monthly and daily solar radiation patterns for use in modeling solar power production at the site.
Technical report site assessment of solar resource for a csp plant. correctio...IrSOLaV Pomares
This technical report summarizes a solar resource assessment for a CSP solar project site in Morocco. It details the methodology used by IrSOLaV to estimate solar radiation from satellite images, which has been validated against ground measurements. IrSOLaV corrects initial satellite estimates using on-site meteorological station data, achieving hourly and daily GHI and DNI estimation uncertainties of 12-18% and 5-10%, respectively. The report presents satellite-derived solar radiation data for the project site location from 2011-2013 and compares it to on-site pyranometer and pyrheliometer measurements.
In this work, we have developed a comparison between solar radiation values
measured in Morocco and values estimated by two theoretical models proposed in the
literature by various researchers. The selected site is the synoptic station of the city of
Fez in Morocco, in which meteorological and radiometric data are continuously
collected. For the two chosen theoretical models, the first model is the Barbaro et al
(1977) and Davies el al (1975) model for direct and diffuse rays respectively, based
on the kasten (1980) model for the determination of the Linke turbidity values as an
atmospheric turbidity parameter. The second model differs from the first by using the
Ineichen and Perez (2002) model using atmospheric transmittance for the
determination of the atmosphere turbidity, the transmittance values will be calculated
using the Schillings et al. (2004) model. Comparing the two models applied to the case
of Morocco resulted in the decision that the model of Ineichen and Perez (2002) is
best suited to the climatic conditions in Morocco with the lowest normalized square
error of 7%, taking into account the locals climatic conditions of the site investigated
IRJET- Review on Drought Risk Assessment by using Remote Sensing and GISIRJET Journal
This document summarizes a study that assessed drought risk using remote sensing and GIS. Satellite-derived NDVI data and ground-based precipitation data were analyzed over a 10-year period. Correlations between NDVI, standardized precipitation index (SPI), rainfall anomaly, and food grain anomaly were performed. Results showed SPI can indicate regional crop production. NDVI, SPI, and detrended food grain yield anomaly were linearly correlated, indicating they can efficiently monitor and evaluate food grain output. Different data sources were analyzed spatially and temporally to classify drought risk into very high, high, moderate, slight, and no risk categories based on regression analyses between precipitation, NDVI, and crop yields. The integrated approach aimed to properly deline
Computing net radiation from temperature variables: Improvising for under-res...IOSR Journals
Most weather stations at farms, schools and other research institutes in the developing world do not
have radiation sensors and this is usually attributed to high costs of these sensors. Net radiation as one
component of radiation is important in crop farming as it influences germination, different growth stages, water
demand, size and quality of yield among other things. This article seeks to demonstrate how a series of
mathematical equations with temperature as a key physical quantity can be used to estimate net radiation using
the basic minimum of resources affordable against readings from a standard net radiometer. To achieve this,
daily data of maximum and minimum temperatures for 20 days was used from an automated weather station at
Great Zimbabwe University in Zimbabwe. A standard CNR 1 net radiometer was installed at the station to give
direct net radiation readings for comparison with the computed readings. A correlation between the calculated
net radiation and the measured one gave 90.8% correspondents. Diurnal net radiation was following the
maximum temperature trends. The average cost of a net radiometer sensor was US$ 3.700 which can be too
high for an ordinary farmer or other small research institutes.
At present, with the development of wind power project in China, there are more and more projects located at the complex terrain and complex environment. At the same time, since the large planned area of project, the complex mountain area, and limited number of met mast, even without met mast, in order to the reliable development of the wind power project, it is important that how to do the wind resource assessment without actual measurement wind data and other conditions such as less reliable wind data, and the met mast was not considered representative. This paper will use the atmospheric model to do mesoscale simulation calculation of wind resources, and then combine with CFD technology to downscaling computation to get high resolution wind power assessment result. Finally, in order to confirm the validity of this application in the actual project, the comparison between calculation values and measurement values is carried out. The verification result through the actual data of different met mast shows that the wind resource assessment method which combines the CFD and mesoscale technologies is reliable. The main contribution of the article is to provide the reference model and approach for regional planning and large scale wind resource assessment when there isn’t enough adequate and effective wind data.
Solar radiation ground measured data quality assessment reportIrSOLaV Pomares
This technical report analyzes radiometric data measured at a site in XXX from June 2011 to May 2012. It assesses data quality using various filters and comparisons to clear sky models. Global, diffuse, and direct normal irradiance were measured. The methodology section describes transforming time to true solar time, calculating hourly/daily averages, and quality analysis including physical limits checks and cross-component relationship checks. Graphs of measured and clear sky data are presented and used to visually inspect data quality.
Evaluation of procedures to improve solar resource assessments presented WREF...Gwendalyn Bender
This document evaluates two methods for improving solar resource assessments by combining long-term satellite data with short-term ground observations: 1) Correcting for bias in satellite-derived irradiance time series using local aerosol optical depth data, and 2) Applying a statistical Model Output Statistics correction using on-site observations. The methods are tested at a site in Israel, with the aerosol optical depth correction significantly reducing annual bias in direct and global irradiance estimates. A minimum of 9 months of on-site observations is found to be needed to positively impact the Model Output Statistics correction applied to satellite data.
This document outlines validation plans for the Ozone Mapping and Profiler Suite (OMPS) instrument on the NPOESS Preparatory Project satellite. It discusses:
1) The calibration and validation team members and their roles in characterizing instrument performance through comparisons with other satellite and ground-based instruments from launch through long-term monitoring.
2) The schedule of major validation tasks from pre-launch testing through intensive in-orbit validation in the first two years and transition to long-term monitoring.
3) Examples of early tests and comparisons that will be done with internal instrument measurements, early solar views, and single days of Earth view data to evaluate performance.
IrSOLaV provides solar energy consulting services including solar radiation estimation from satellite images, analysis of power plant production, auditing of solar plants, and meteorological data quality reports. The company's team of experts has experience in over 500 MW of CSP and PV projects. Key products and services include long-term solar irradiance estimation from satellite images, analysis of thermal and electrical production for solar energy systems, and quality assurance of radiometric data and plant performance.
Evaluation of optical and synthetic aperture radar image fusion methods: a ca...IJECEIAES
This paper evaluates different optical and synthetic aperture radar (SAR) image fusion methods applied to open-access Sentinel images with global coverage. The objective of this research was to evaluate the potential of image fusion methods to get a greater visual difference in land cover, especially in oil palm crops with natural forest areas that are difficult to differentiate visually. The application of the image fusion methods: Brovey (BR), high-frequency modulation (HFM), Gram-Schmidt (GS), and principal components (PC) was evaluated on Sentinel-2 optical and Sentinel-1 SAR images using a cloud computing environment. The results show that the application of the implemented optical/SAR image fusion methods allows the creation of a synthetic image with the characteristics of both data sources. The multispectral information provided by the optical image and information associated with the geometry and texture/roughness of the land covers, provided by the SAR image, allows a greater differentiation in the visualization of the various land covers, achieving a better understanding of the study area. The fusion methods that visually presented greater characteristics associated with the SAR image were the BR and GS methods. The HFM method reached the best statistical indicators; however, this method did not present significant visual changes in the SAR contribution.
This document provides an overview and validation of Re.SunTM, a software tool for assessing solar resources worldwide using mesoscale weather modeling and coupling techniques. Re.SunTM runs the WRF mesoscale numerical weather model to generate meteorological data, then applies clear sky models incorporating aerosol and gas data to estimate solar radiation indices. It was validated against measurements from 9 complex sites, showing a mean bias of 0.64% and root mean square error of 4%. Statistics demonstrate Re.SunTM can estimate average annual global solar radiation to within 4.14% of measured for 80% of cases. The document concludes Re.SunTM is useful for solar applications requiring site-specific resource assessment.
IRJET- Investigation of Hourly Optimum Tilt Angle for Srinagar City using Cuo...IRJET Journal
This document investigates the hourly optimum tilt angle for a flat plate solar collector in Srinagar, India using a CuO nanofluid. A mathematical model and MATLAB program were used to determine:
1) The hourly optimum tilt angle for the average day of each month, which ranges from -20 to 82 degrees and is highest in December and lowest in June.
2) The hourly total solar radiation on the optimally tilted surface at solar noon, which is highest in July at 3.32 MJ/m2h and lowest in December at 2.19 MJ/m2h.
3) The monthly total solar radiation on an optimally tilted south-facing surface over the year, with
5 IGARSS_Riishojgaard July 25 2011_rev2.pptgrssieee
The document discusses the Joint Center for Satellite Data Assimilation's (JCSDA) work related to the upcoming launch of the National Polar-orbiting Partnership (NPP) satellite. The JCSDA is preparing operational weather prediction services to assimilate data from NPP by improving radiative transfer models, developing emissivity databases, and conducting observing system simulation experiments. After launch, the JCSDA will monitor NPP data and work to incorporate it into operational weather forecasting systems to improve predictions and generate tens of billions of dollars in economic benefits annually.
IRJET- Renewable Solar Insolation as a Function of Distributed Energy Generat...IRJET Journal
This document discusses using solar energy from photovoltaic generators in microgrids in India. It analyzes the monthly variation in average solar insolation levels across India to assess how it impacts distributed energy generation and costs. Solar insolation data for a location in India shows insolation levels vary throughout the year, with higher levels in some months compared to the annual average. This fluctuating insolation could impact energy demand and generation planning. Distributed solar generation may help compensate for peak demand periods and allow microgrids to operate independently by supplying energy when insolation levels produce surplus power.
This document describes the generation of a typical meteorological year (TMY) of solar irradiance data on tilted surfaces for Armidale, New South Wales, Australia. It utilizes 23 years of daily solar radiation measurements from 1990 to 2012 to select the most representative months using the Finkelstein-Schafer statistical method. Models are used to estimate hourly solar radiation on tilted surfaces at angles of 15°, 30°, 45°, 60°, and 75° based on the typical meteorological year horizontal surface data. Tables of the estimated typical solar irradiance values are generated for each day of the year on the tilted surfaces, providing important input data for solar energy system design and performance modeling in Armidale.
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
This document summarizes a study that estimated and mapped land surface temperature in the Kolondieba-Tiendaga basin in Mali using AATSR satellite images and GIS. The study area has a tropical climate and vegetation including savannas and agricultural lands. Land surface temperature was calculated using the SEBS model applied to AATSR data. Results found land surface temperatures between 303-296K with standard deviations of 2.66-0.945K, consistent with other studies in West Africa using AATSR images. The land surface temperature data can provide important information for hydrology, natural resource management, agriculture and climate modeling in the region.
This document outlines the methodology, site analysis, and preliminary design for a case study project analyzing the environmental performance of a proposed cultural community center in Kuala Lumpur, Malaysia. Quantitative data on temperature, humidity, lighting, and noise levels was collected from 16 points around the site to inform the site analysis. Shadow studies show areas of maximum and minimum shading at summer and winter solstices. Preliminary design schemes were developed and Overall Thermal Transfer Value (OTTV) calculations were performed to analyze the building envelope's thermal performance.
This document describes methods for estimating average solar radiation on horizontal and tilted surfaces for a location. It discusses calculating the direct, diffuse, and reflected radiation components on tilted surfaces using tilt factors. Equations are provided to calculate the extra-terrestrial solar radiation, sunrise/sunset hours, solar insolation, and total radiation on tilted surfaces based on the location's latitude, day of the year, and other factors. The goal is to estimate the average monthly solar radiation received at Vijayawada, India to inform photovoltaic system design.
This document describes the generation of a typical meteorological solar radiation year (TMY) for Armidale, New South Wales, Australia using 23 years of daily global solar radiation data. The Finkelstein-Schafer statistical method was used to select the most representative year of data for each month based on how closely its cumulative frequency distribution matched the long-term monthly average. The resulting typical year showed monthly average radiation values ranging from a low of 10.41 MJ/m2 in June to a high of 25.88 MJ/m2 in December. Comparison of the TMY data to the long-term monthly averages showed good agreement, indicating the TMY successfully captured typical solar conditions for Armidale
IRJET- Identification of Urban Heat Island using Satellite ImageriesIRJET Journal
This document discusses using satellite imagery to identify urban heat islands in Trivandrum, Kerala, India. It analyzes Landsat satellite data from 1990 and 2005 to estimate land surface temperatures. Land use maps were created from the satellite data and showed increased built-up areas over time. Surface temperature maps found urban areas had higher temperatures than rural areas, establishing the presence of an urban heat island effect. A temperature profile of a selected urban-rural section in both years also showed urban areas with higher temperatures. While temperatures decreased from 1990 to 2005 possibly due to rainfall, urban areas still showed relatively higher temperatures, demonstrating the ability of satellite data to identify urban heat islands.
Gensol collected Actual Global Tilted Irradiation (AGTI) of 57 sites from operational projects spread across in India. It was then correlated with Expected Global Tilted Irradiation (EGTI) from the following meteo-databases namely:
1) Meteonorm-7.2
2) SolarGIS,
3) NASA (National Aeronautics and Space Administration),
4) NREL (National Renewable Energy Laboratory)
In our report, we find most representative meteo-data set for each site.
Two Axes Sun Tracking System for Heliostat in Algeriaijeei-iaes
In this paper, using Proteus software, sun tracking system with two axes program has developed
and simulated for site of GHARDAIA, in the south of ALGERIA. Two direct current motors have used to
move heliostat in North–South and East–West axis polar, in order to tracking the sun path.In addition, the
distinction between day and night has provided by light dependent resistor (LDR).An algorithm of two axes
sun tracking system hab developed and simulated under Proteus software, after DC motor’s parameters
have verified and simulated under MATLAB software. The results show that: in the first, the development
of the heliostat control requires the knowledge of the position of each heliostat relative to the tower to
ensure the proper operation of the motors, and the uniformity of the reflected beam to the target.Then the
choice of the drive motors is based on the useful power, including the weight of the heliostat, and all efforts
affects on operation of motors in different seasons of the year, like the wind.And The position of the
heliostat depends of chopper duty cycle.Finally,Conducting a power tower with mobile heliostats requires a
techno-economic study on all components (heliostats, tower...) of the plant, for example weather two
motors for each heliostat field.
Estimation of Global Solar Radiation in Ibadan, Nigeria using Angstrom - Pres...rahulmonikasharma
In this study, the data of mean daily bright sunshine hour for Ibadan was obtained from the International Institute of Tropical Agriculture (IITA) at Ibadan. It was used to estimate the monthly mean global solar radiation for Ibadan (latitude and longitude ). The data considered were for a period of 2008 to 2012. Angstrom-Prescott, and Glover & McCulloch’s Models were then used to estimate the mean monthly global solar radiation at Ibadan based on the monthly mean bright sunshine hour data of Ibadan. A new sunshine based model is also proposed to estimate global solar radiation at Ibadan for a period of five years (2008 – 2012). The performance of the models are evaluated by some statistical analysis like mean bias errors, root mean square error, mean percentage error, Nash- Sutcliffe error and coefficient of correlation in order to know the most suitable model. It was discovered that the month of August is the least amount of measured global solar radiation averaged for five years (2008 – 2012) at Ibadan is 9.77kW/m2. The most suitable model for Ibadan is Model 2 (Glover & McCulloch’s Model). The results obtained were validated with data of monthly mean global solar radiation data for Ibadan, obtained from the International Institute of Tropical Agriculture, Ibadan
Estimation of Solar Radiation over Ibadan from Routine Meteorological Parameterstheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Ionospheric Behaviour Analysis over Thailand Using Radio Occultation TechniqueIJERA Editor
With the advent in the development of science and technology in the field of space and atmospheric science in
order to obtain accurate result, hence the use of radio occultation technique in the investigation of the amount of
electron density and Total Electron Content presence in equatorial region particularly over Thailand. In this
research, radio occultation data obtained from UCAR/CDAAC was used to observe daily, monthly, seasonal and
the entire year 2013 Ionospheric TEC and electron density variation due to changes and instability of solar
activities from time to time. It was observed that TEC was high (ionosphere was more disturbed or violent) in
May and spread over a wide range of altitude and summer season has the highest TEC value for the year 2013
which means at this period GNSS measurements was more prone to error. It was noted that ionospheric
variations or fluctuations was maximum between 200km and 450km altitude. The results of the study show that
ionospheric perturbation effects or irregularities depend on season and solar activity.
This document discusses using a seasonal autoregressive integrated moving average (SARIMA) model to forecast precipitation in Mt. Kenya region. It fits various SARIMA models to monthly precipitation data from 1970 to 2011 and selects the best model with the lowest AIC and BIC values. The best model was found to be SARIMA(1,0,1)x(1,0,0)12, which had two statistically significant variables and passed diagnostic checks. Forecast accuracy statistics for this model, including ME, MSE, RMSE and MAE, indicated the SARIMA model provides a good method for precipitation forecasting in Mt. Kenya region.
Evaluation of procedures to improve solar resource assessments presented WREF...Gwendalyn Bender
This document evaluates two methods for improving solar resource assessments by combining long-term satellite data with short-term ground observations: 1) Correcting for bias in satellite-derived irradiance time series using local aerosol optical depth data, and 2) Applying a statistical Model Output Statistics correction using on-site observations. The methods are tested at a site in Israel, with the aerosol optical depth correction significantly reducing annual bias in direct and global irradiance estimates. A minimum of 9 months of on-site observations is found to be needed to positively impact the Model Output Statistics correction applied to satellite data.
This document outlines validation plans for the Ozone Mapping and Profiler Suite (OMPS) instrument on the NPOESS Preparatory Project satellite. It discusses:
1) The calibration and validation team members and their roles in characterizing instrument performance through comparisons with other satellite and ground-based instruments from launch through long-term monitoring.
2) The schedule of major validation tasks from pre-launch testing through intensive in-orbit validation in the first two years and transition to long-term monitoring.
3) Examples of early tests and comparisons that will be done with internal instrument measurements, early solar views, and single days of Earth view data to evaluate performance.
IrSOLaV provides solar energy consulting services including solar radiation estimation from satellite images, analysis of power plant production, auditing of solar plants, and meteorological data quality reports. The company's team of experts has experience in over 500 MW of CSP and PV projects. Key products and services include long-term solar irradiance estimation from satellite images, analysis of thermal and electrical production for solar energy systems, and quality assurance of radiometric data and plant performance.
Evaluation of optical and synthetic aperture radar image fusion methods: a ca...IJECEIAES
This paper evaluates different optical and synthetic aperture radar (SAR) image fusion methods applied to open-access Sentinel images with global coverage. The objective of this research was to evaluate the potential of image fusion methods to get a greater visual difference in land cover, especially in oil palm crops with natural forest areas that are difficult to differentiate visually. The application of the image fusion methods: Brovey (BR), high-frequency modulation (HFM), Gram-Schmidt (GS), and principal components (PC) was evaluated on Sentinel-2 optical and Sentinel-1 SAR images using a cloud computing environment. The results show that the application of the implemented optical/SAR image fusion methods allows the creation of a synthetic image with the characteristics of both data sources. The multispectral information provided by the optical image and information associated with the geometry and texture/roughness of the land covers, provided by the SAR image, allows a greater differentiation in the visualization of the various land covers, achieving a better understanding of the study area. The fusion methods that visually presented greater characteristics associated with the SAR image were the BR and GS methods. The HFM method reached the best statistical indicators; however, this method did not present significant visual changes in the SAR contribution.
This document provides an overview and validation of Re.SunTM, a software tool for assessing solar resources worldwide using mesoscale weather modeling and coupling techniques. Re.SunTM runs the WRF mesoscale numerical weather model to generate meteorological data, then applies clear sky models incorporating aerosol and gas data to estimate solar radiation indices. It was validated against measurements from 9 complex sites, showing a mean bias of 0.64% and root mean square error of 4%. Statistics demonstrate Re.SunTM can estimate average annual global solar radiation to within 4.14% of measured for 80% of cases. The document concludes Re.SunTM is useful for solar applications requiring site-specific resource assessment.
IRJET- Investigation of Hourly Optimum Tilt Angle for Srinagar City using Cuo...IRJET Journal
This document investigates the hourly optimum tilt angle for a flat plate solar collector in Srinagar, India using a CuO nanofluid. A mathematical model and MATLAB program were used to determine:
1) The hourly optimum tilt angle for the average day of each month, which ranges from -20 to 82 degrees and is highest in December and lowest in June.
2) The hourly total solar radiation on the optimally tilted surface at solar noon, which is highest in July at 3.32 MJ/m2h and lowest in December at 2.19 MJ/m2h.
3) The monthly total solar radiation on an optimally tilted south-facing surface over the year, with
5 IGARSS_Riishojgaard July 25 2011_rev2.pptgrssieee
The document discusses the Joint Center for Satellite Data Assimilation's (JCSDA) work related to the upcoming launch of the National Polar-orbiting Partnership (NPP) satellite. The JCSDA is preparing operational weather prediction services to assimilate data from NPP by improving radiative transfer models, developing emissivity databases, and conducting observing system simulation experiments. After launch, the JCSDA will monitor NPP data and work to incorporate it into operational weather forecasting systems to improve predictions and generate tens of billions of dollars in economic benefits annually.
IRJET- Renewable Solar Insolation as a Function of Distributed Energy Generat...IRJET Journal
This document discusses using solar energy from photovoltaic generators in microgrids in India. It analyzes the monthly variation in average solar insolation levels across India to assess how it impacts distributed energy generation and costs. Solar insolation data for a location in India shows insolation levels vary throughout the year, with higher levels in some months compared to the annual average. This fluctuating insolation could impact energy demand and generation planning. Distributed solar generation may help compensate for peak demand periods and allow microgrids to operate independently by supplying energy when insolation levels produce surplus power.
This document describes the generation of a typical meteorological year (TMY) of solar irradiance data on tilted surfaces for Armidale, New South Wales, Australia. It utilizes 23 years of daily solar radiation measurements from 1990 to 2012 to select the most representative months using the Finkelstein-Schafer statistical method. Models are used to estimate hourly solar radiation on tilted surfaces at angles of 15°, 30°, 45°, 60°, and 75° based on the typical meteorological year horizontal surface data. Tables of the estimated typical solar irradiance values are generated for each day of the year on the tilted surfaces, providing important input data for solar energy system design and performance modeling in Armidale.
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
This document summarizes a study that estimated and mapped land surface temperature in the Kolondieba-Tiendaga basin in Mali using AATSR satellite images and GIS. The study area has a tropical climate and vegetation including savannas and agricultural lands. Land surface temperature was calculated using the SEBS model applied to AATSR data. Results found land surface temperatures between 303-296K with standard deviations of 2.66-0.945K, consistent with other studies in West Africa using AATSR images. The land surface temperature data can provide important information for hydrology, natural resource management, agriculture and climate modeling in the region.
This document outlines the methodology, site analysis, and preliminary design for a case study project analyzing the environmental performance of a proposed cultural community center in Kuala Lumpur, Malaysia. Quantitative data on temperature, humidity, lighting, and noise levels was collected from 16 points around the site to inform the site analysis. Shadow studies show areas of maximum and minimum shading at summer and winter solstices. Preliminary design schemes were developed and Overall Thermal Transfer Value (OTTV) calculations were performed to analyze the building envelope's thermal performance.
This document describes methods for estimating average solar radiation on horizontal and tilted surfaces for a location. It discusses calculating the direct, diffuse, and reflected radiation components on tilted surfaces using tilt factors. Equations are provided to calculate the extra-terrestrial solar radiation, sunrise/sunset hours, solar insolation, and total radiation on tilted surfaces based on the location's latitude, day of the year, and other factors. The goal is to estimate the average monthly solar radiation received at Vijayawada, India to inform photovoltaic system design.
This document describes the generation of a typical meteorological solar radiation year (TMY) for Armidale, New South Wales, Australia using 23 years of daily global solar radiation data. The Finkelstein-Schafer statistical method was used to select the most representative year of data for each month based on how closely its cumulative frequency distribution matched the long-term monthly average. The resulting typical year showed monthly average radiation values ranging from a low of 10.41 MJ/m2 in June to a high of 25.88 MJ/m2 in December. Comparison of the TMY data to the long-term monthly averages showed good agreement, indicating the TMY successfully captured typical solar conditions for Armidale
IRJET- Identification of Urban Heat Island using Satellite ImageriesIRJET Journal
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Solar Irradiation Data for Lebanon August 2020.pdf
1. The Lebanese Center for Energy Conservation (LCEC) - Interns August 2020
SOLAR
IRRADIATION
DATA for
LEBANON
2. Authors - LCEC Interns
Antoine Bayssary
Masters Degree in Human Geography, Faculty of Letters and human
sciences, Lebanese University
Christa Hajjar
5th Year Mechanical Engineer, Faculty of Engineering, Lebanese
University
SOLAR IRRADIATION IN LEBANON AUGUST 2020
4. SOLAR IRRADIATION IN LEBANON AUGUST 2020
Figures
Tables
Figure 1. Climatic Zones in Lebanon .......................................................................................................... 1
Figure 10. Parissis Steel Engineering Factory Solar PV System ................................................. 7
S.M.LC Solar PV System ................................................................................................................... 5
Figure 2.
Table 1. Climatic Zones' Altitudes ............................................................................................................... 1
Global Horizontal Irradiation Data 2005 ............................................................................ 2
Table 2.
Table 3. Global Horizontal Irradiation Data 2019 ........................................................................... 9
Figure 3.
Figure 4.
Figure 5.
Figure 6.
Figure 7.
Figure 8.
Figure 9.
Libanjus Solar PV System ............................................................................................................... 5
FDC Solar PV System ....................................................................................................................... 5
Las Salinas Solar PV System ....................................................................................................... 5
Ablah Medical Center Solar PV System ............................................................................ 6
Qobbeh Medical Center Solar PV System ...................................................................... 6
El Helou Barrack Solar PV System ......................................................................................... 6
Ministry of Energy and Water Solar PV System ........................................................... 6
Figure 11. ABC Achrafiyeh Solar PV System ............................................................................................ 7
Figure 12. Global Irradiation Stations in Lebanon .............................................................................. 8
5. In Lebanon, only one publication, “CLIMATIC ZONING FOR BUILDINGS IN LEBANON”,
published in 2005, includes solar irradiation data regarding the climatic zones in
Lebanon of which the following methodology was followed:
In all cases, the solar data have been generated from an algorithm in DOE that builds
the direct radiation and horizontal radiation data from specific information about the
station including the location (latitude, longitude and altitude), the clearness number
of the sky, the cloud cover and the type of cloud encountered. The values were
inputted into the software to generate solar records that were in general accordance
with the global horizontal solar radiation of the two stations where records were
available. This allowed building weather files where the data between direct solar
radiation and horizontal solar radiation are consistent. The station used used in this
study were The Atlas Climatique du Liban and Post 1998 weather data records for
selected stations and from private stations such as the weather station of the
American University of Beirut.
Solar data was collected from different climatic zones which are divided according the
"Atlas Climatique du Liban" generally divides the country into three broad climatic
trends: the coastal, the mountainous and the inland. These are further subdivided into
a number of sub-regions making up to a total of eight climatic regions by taking into
consideration various factors.
1. BACKGROUND REVIEW
SOLAR IRRADIATION IN LEBANON AUGUST 2020
0-700 m
700-1400 m
700-1150 m
1400 + m
1150 + m
ZONE 1
ZONE 2
ZONE 3
ZONE 4
Coastal
Western Mid-Mountain
Inland Plateau
High Mountain Littoral side
High Mountain Inland side
Figure 1. Climatic Zones in Lebanon
Table 1. Climatic Zones' Altitudes
1
1
6. 1.1. PREVIOUS RESULTS :
SOLAR IRRADIATION IN LEBANON YEAR 2020
Global Horizontal Irradiation Data (2005) (Wh/m^2)
MONTH
ZONE
JANUARY
FEBRUARY
MARCH
MAY
APRIL
JUNE
JULY
AUGUST
SEPTEMBER
OCTOBER
NOVEMBER
DECEMBER
AVERAGE
COASTAL -
BEIRUT
COASTAL -
BAYSSOUR INLAND
2387.6
3195.8
4898.1
6012
6837
7192
7010.4
6343.7
5374.6
3873.5
2757.2
2273.4
4854.6
2503.6
3208.1
4777.7
6018.3
6833.2
7209.7
7024
6353.2
5389.1
3896.9
2770.7
2287.3
4864.1
2522.2
3282.2
4861.2
5979.5
6837.6
7211.3
7037.5
6405.2
5466.1
3828.4
2765.4
2241.2
4877.6
Table 2. Global Horizontal Irradiation data 2005
2
Since the irradiation stations available in Lebanon can be only distributed over
three climatic regions (Coastal - Beirut, Coastal - Bayssour, Inland), we chose to
show the previous results of those regions. These results will be compared later
on with the new results that were obtained.
7. Solar Irradiation is considered as one of the most
important meteorological parameters for the
operation of photovoltaic power plants, which
directly impacts power production.
Due its importance in determining the
performance ratio of a photovoltaic system, the
solar irradiation data must be updated since it
could be subjected to change over the years in
accordance with climate change.
SOLAR IRRADIATION IN LEBANON AUGUST 2020
3
2. ABSTRACT
8. The year 2019 has been chosen to proceed with due to the majority of the available
data being from this year.
Data available from different sites are taken into consideration, of which they are
distributed over only 3 climatic zones: Coastal, Bayssour, and Inland.
The climatic zones are split similarly to the Figure shown previously which is taken
from “CLIMATIC ZONING FOR BUILDINGS IN LEBANON”.
The solar irradiation calculations for the year 2019 are done by taking into
consideration data from irradiation sensors and pyranometers sampled every 5
minutes.
We begin our calculation by computing first the daily irradiation for each sensor
which is done by adding up the values of the data collected every 5 minutes for each
day and then multiplying by (5/60). Then we proceed by calculating the average daily
irradiation for each month. Therefore, to obtain the yearly result we simply calculate
the average of all months.
After completing the primary result table of the solar irradiation for different sensors
and different sites, a monthly transposition factor (TF) must be taken into account for
the correction of the obtained results due to the different orientations, inclinations of
the sensors used and in order to unify the condition of measurement.
All the tilted sensors’ results are then corrected by dividing them with their
corresponding transposition factor and then are averaged with the horizontal sensors
of the same site in order to obtain the final results which is the Global Horizontal
Irradiation.
Tabulation and
Documentation
of the Results.
Interpretation
of the Results
and
Concluding.
3. METHODOLOGY
SOLAR IRRADIATION IN LEBANON AUGUST 2020
01
Literature
Review
02
Data
Acquisition.
03
Data Analysis.
04 05
4
9. 4. SITE OVERVIEW:
S.M.L.C PEPSICO:
Location: Haret el Oumara,Chweifat.
Climatic zone: Coastal zone.
Executive company name: Ecosys – ITG holding.
Number of solar radiation sensors: 2 horizontal sensors.
·
LIBANJUS :
Location: Church Mar Antonios, Baabda.
Climatic zone: Coastal zone.
Executive company name: Ecosys – ITG holding.
Number of solar radiation sensors: 1 horizontal sensor.
·
FDC DISTRIBUTION CENTER :
Location: Achrafiyeh, Beyrouth.
Climatic zone: Coastal zone.
Executive company name: Ecosys – ITG holding.
Number of solar radiation sensors: 1 horizontal sensor.
·
LAS SALINAS HOTEL :
Location: Anfeh, North.
Climatic zone: Coastal zone.
Executive company name: Ecosys – ITG holding.
Number of solar radiation sensors: 1 horizontal sensor.
·
SOLAR IRRADIATION IN LEBANON AUGUST 2020
Figure 2. S.M.LC Pepsico. Solar
PV System
Figure 3. Libanjus. Solar PV System
Figure 4. FDC Solar PV System
Figure 5. Las Salinas Hotel Solar
PV System
7 5
10. Location: Ablah, Bekaa.
Climatic zone: Inland
Executive company name: Green Essence
Number of solar radiation sensors: 5 sensors.
·
Location: Qobbeh, Tripoli.
Climatic zone: Coastal zone.
Executive company name: Green Essence
Number of solar radiation sensors: 5 sensors.
·
Location: : Saeb Salam, Beyrouth.
Climatic zone: Coastal zone.
Executive company name: Green Essence
Number of solar radiation sensors: 4 sensors.
·
Location: : Corniche Al Nahr, Beyrouth.
Climatic zone: Coastal zone.
Executive company name: Ecosys – ITG holding.
Number of solar radiation sensors: 3 sensors.
·
MINISTRY OF ENERGY AND WATER (MEW) :
Figure 9. MEW Solar PV System
4. SITE OVERVIEW:
LEBANESE ARMY FORCE ABLAH:
LEBANESE ARMY FORCE QOBBEH:
EMILE HELOU POLICE STATION :
SOLAR IRRADIATION IN LEBANON AUGUT 2020
Figure 6. Ablah Medical Center Solar
PV System
Figure 7. Qobbeh Medical Center Solar
PV System
Figure 8. El Helou Barrack Solar
PV System
6
11. Location: Achrafiyeh, Beirut
Climatic zone: Coastal zone.
Executive company name: Ecosys – ITG holding.
Number of solar radiation sensors: 1 Horizontals sensor.
·
Location: Gharzouz, Jbeil
Climatic zone: Coastal Bayssour
Executive company name: Ecosys – ITG holding.
Number of solar radiation sensors: 1 Horizontal sensor.
·
4. SITE OVERVIEW:
PARISSIS STEEL ENGINEERING FACTORY:
ABC ACHRAFIYEH :
SOLAR IRRADIATION IN LEBANON AUGUT 2020
Figure 10. Parissis Steel Engineering
Factory Solar PV System
Figure 11. ABC Achrafiyeh Solar
PV System
7
12. 12M
SOLAR IRRADIATION IN LEBANON AUGUST 2020
Figure 12. Global Irradiation Stations in Lebanon
8
13. 5. RESULTS:
SOLAR IRRADIATION IN LEBANON AUGUST 2020
Updated Global Horizontal Irradiation Data
(2019-2020) (Wh/m^2)
2388.6
2887.9
4012.3
5091.2
6311.9
6193.4
6674.9
5790.9
4732.8
3571
2977.1
2005.6
4386.5
2129
2628.3
3767.6
4883.7
6353.7
6044
6255.7
5254.4
4853.9
3883.3
3175.9
2144
4281.1
2658.7
3129.4
4160.7
5184.2
6995.6
7328.2
7329.7
6579.5
5532.5
4083
3340.4
2215.6
4878.1
We can notice that there is a slight decrease in the Global Horizontal Irradiation in
Coastal-Beirut (9.6%) and Coastal-Bayssour (12%) in the year 2019 compared to that in
the year 2005 which can be due to the fact that in the year 2005 some of the data
acquired were from satellites which are not as accurate as data measured directly by
sensors . Moreover, the availability of only one site in Bayssour Region might be the
cause of the decrease in irradiation level since one site may include some errors if it is
not being averaged with other site's data.
MONTH
ZONE
JANUARY
FEBRUARY
MARCH
MAY
APRIL
JUNE
JULY
AUGUST
SEPTEMBER
OCTOBER
NOVEMBER
DECEMBER
AVERAGE
COASTAL -
BEIRUT
COASTAL -
BAYSSOUR INLAND
Table 3. Global Horizontal Irradiation data 2019
9
6. CONCLUSION:
14. Mainly, data from the year 2019 was available
in most of the sites while the other years were
incomplete in other stations due to some sites
being newly constructed. Therefore, only data
from the year 2019 was taken into
consideration.
We also faced difficulties in the data analysis
and tabulation due to important missing data
from some months in some sites. Hence, there
are cases where we have replaced a couple of
the missing months in 2019 by data of the
respective months available in 2020.
In some sites, there wasn't available
information regarding the exact tilt of some
solar irradiation sensors and therefore were
considered horizontal.
SOLAR IRRADIATION IN LEBANON AUGUST 2020
10
7. CHALLENGES
15. 8.ACKNOWLEDGEMENTS
SOLAR IRRADIATION IN LEBANON AUGUST 2020
Foremost, we would like to express our gratitude to our Supervisor, Mrs.
Reem Irany for the continuous support, guidance, motivation, and
immense knowledge.
We wish to thank LCEC team, and all the individuals who supported and
contributed to this study.
Special thanks to Ecosys-ITG Holding company for providing necessary
information regarding the project and solar irradiation data.
11