scholarly journals A Visual Support of Standard Procedures for Solar Radiation Quality Control

2021 ◽  
Vol 10 (3) ◽  
pp. 401-414
Author(s):  
Omaima El Alani ◽  
Hicham Ghennioui ◽  
Abdellatif Ghennioui ◽  
Yves-Marie Saint-Drenan ◽  
Philippe Blanc ◽  
...  
Keyword(s):  
Quality Control ◽  
Solar Radiation ◽  
Solar Irradiance ◽  
Solar Irradiation ◽  
Radiation Quality ◽  
Energy Applications ◽  
Visual Tool ◽  
Visual Support ◽  
Irradiance Data ◽  
Control Procedures

Solar irradiance data from high-quality ground-based measurements are primordial for different solar energy applications. In order to achieve the required accuracy, quality control procedures are of great benefit. A variety of approaches   have been proposed. In this sense, some approaches propose a visual representation of the routine, while others only provide a time series of binary flag values, and do not propose any specific visualization of the flagged data as opposed to non-flagged ones. In this regard, the present paper puts forward a complete routine including several quality control procedures for solar irradiance measurements by providing visual support for these different approaches. The visual tool in question was validated using five years research data with 10 minutes resolution of the global, diffuse and direct components of solar irradiation collected from three ground-based weather stations in Morocco. This visual tool puts forth a more precise idea of the measurement quality by detecting various errors, such as time shifts, outliers identification; either with one or two components, or consistency tests between the three components of solar radiation when available. The proposed tool can be regarded as a means of improving the detection rate of abnormal data as a first step in diagnosing the prominent causes of error.

scholarly journals IRRADIAÇÃO SOLAR GLOBAL PARA CIDADE DE MAPUTO - MOÇABIQUE: EVOLUÇÃO TEMPORAL DAS MEDIDAS E MODELAGEM ESTATÍSTICA

2019 ◽  
Vol 34 (01) ◽  
pp. 82-93
Author(s):  
Domingos Mário Zeca Fernando ◽  
Marcus Vinicius Contes Calca ◽  
Matheus Rodrigues Raniero ◽  
Alexandre Dal Pai
Keyword(s):  
Solar Radiation ◽  
Statistical Modeling ◽  
Solar Irradiance ◽  
Temporal Evolution ◽  
Solar Irradiation ◽  
Global Media ◽  
Global Solar Irradiation ◽  
Maputo City ◽  
The City ◽  
E Mail

IRRADIAÇÃO SOLAR GLOBAL PARA CIDADE DE MAPUTO - MOÇABIQUE: EVOLUÇÃO TEMPORAL DAS MEDIDAS E MODELAGEM ESTATÍSTICA   DOMINGOS MÁRIO ZECA FERNANDO¹; MARCUS VINÍCIUS CONTES CALÇA²; MATHEUS RODRIGUES RANIERO³ E ALEXANDRE DAL PAI4   ¹Departamento de Ciências Naturais e Matemática, Universidade Púnguè,  Bairro Heróis Moçambicanos, C. Postal: 323, Cidade de Chimoio, Moçambique, e-mail: [email protected]. 2Departamento de bioprocessos e biotecnologia, Universidade Estadual Paulista, Av. Universitária, nº 3780 - Altos do Paraíso, Botucatu - SP, 18610-034, Brasil, e-mail: [email protected]. 3Departamento de bioprocessos e biotecnologia, Universidade Estadual Paulista, Av. Universitária, nº 3780 - Altos do Paraíso, Botucatu - SP, 18610-034, Brasil, e-mail: [email protected]. 4Departamento de bioprocessos e biotecnologia, Universidade Estadual Paulista, Av. Universitária, nº 3780 - Altos do Paraíso, Botucatu - SP, 18610-034, Brasil, e-mail: [email protected].   RESUMO: A equação de Angstrom continua sendo a relação mais usada para se estimar a irradiação solar global média diária a partir das horas de brilho solar, em localidades onde a medição não seja contínua ou os equipamentos não estejam disponíveis. O objetivo deste trabalho foi de apresentar a evolução das medidas de irradiação solar e das horas de brilho solar e determinar os coeficientes de Angstrom para estimativa da irradiação solar global na cidade de Maputo. A média da irradiação solar global na cidade de Maputo foi de 17,96 MJ/m² e as horas de brilho solar foram de 7,8 horas. Os coeficientes “a” e “b” do modelo anual para estimativa da irradiação solar global na cidade de Maputo são 0,23 e 0,49 respetivamente.   Palavras-chaves: brilho solar, estimativa irradiação solar global, modelo de angstrom.   GLOBAL SOLAR IRRADIATION FOR MAPUTO CITY - MOZAMBIQUE: TEMPORAL EVOLUTION OF MEASUREMENTS AND STATISTICAL MODELING   ABSTRACT: The Angstrom equation continues to be the most used relation to estimate the daily average global solar irradiation from sunshine, in places where measurement is not continuous or equipment is not available. The aim of this work was to present the evolution of solar radiation and sunshine measurements and to determine the Angstrom coefficients to estimate global solar irradiation in the city of Maputo. The average of the global solar irradiance in the city of Maputo was 17.96 MJ/m² and sunshine average was 7.8 hours. The coefficients "a" and "b" of the annual model for estimation of global solar irradiation in the city of Maputo were 0.23 and 0.49, respectively.   Keywords: sunshine, estimation of global solar irradiation, Angstrom model.

scholarly journals Science Highlights and Final Updates from 17 Years of Total Solar Irradiance Measurements from the SOlar Radiation and Climate Experiment/Total Irradiance Monitor (SORCE/TIM)

Solar Physics ◽  
2021 ◽  
Vol 296 (9) ◽  
Author(s):  
Greg Kopp
Keyword(s):  
Solar Radiation ◽  
Solar Irradiance ◽  
High Sensitivity ◽  
Total Solar Irradiance ◽  
Low Noise ◽  
Final Data ◽  
Total Irradiance ◽  
Noise Measurements ◽  
Irradiance Data ◽  
Measurement Record

AbstractThe final version (V.19) of the total solar irradiance data from the SOlar Radiation and Climate Experiment (SORCE) Total Irradiance Monitor has been released. This version includes all calibrations updated to the end of the mission and provides irradiance data from 25 February 2003 through 25 February 2020. These final calibrations are presented along with the resulting final data products. An overview of the on-orbit operations timeline is provided as well as the associated changes in the time-dependent uncertainties. Scientific highlights from the instrument are also presented. These include the establishment of a new, lower TSI value; accuracy improvements to other TSI instruments via a new calibration facility; the lowest on-orbit noise (for high sensitivity to solar variability) of any TSI instrument; the best inherent stability of any on-orbit TSI instrument; a lengthy (17-year) measurement record benefitting from these stable, low-noise measurements; the first reported detection of a solar flare in TSI; and observations of two Venus transits and four Mercury transits.

scholarly journals Balancing daylight and overheating in low-energy design using CIBSE improved weather files

2019 ◽  
Vol 41 (2) ◽  
pp. 210-224 ◽  
Author(s):  
Eleonora Brembilla ◽  
Christina J Hopfe ◽  
John Mardaljevic ◽  
Anastasia Mylona ◽  
Eirini Mantesi
Keyword(s):  
Solar Radiation ◽  
Building Design ◽  
Low Energy ◽  
Solar Irradiation ◽  
Building Performance ◽  
Radiation Model ◽  
Performance Simulation ◽  
Building Performance Simulation ◽  
Irradiance Data ◽  
Solar Radiation Model

A new set of CIBSE weather files for building performance simulation was recently developed to address the need for better quality solar data. These are essential for most building performance simulation applications, particularly for daylighting studies and low-energy building design, which requires detailed irradiation data for passive solar design and overheating risk analysis. The reliability of weather data becomes paramount when building performance is pushed to its limits. Findings illustrate how principles of good window design can be applied to a case study building, built to the Passivhaus standard, and how its expected performance is affected by the quality of solar irradiation data. Analyses using test reference years were most affected by changes in the solar radiation model (up to 8.3% points), whereas for design summer years the maximum difference was 1.7% points. Adopting the new model caused overheating risk to be classified as more severe using test reference years than design summer years, prompting a discussion on the design summer year selection method. Irradiance data measured on-site were used as a benchmark to evaluate the new solar radiation model, which was found to significantly improve the accuracy of irradiance data within weather files and so the reliability of overheating assessments. Practical application: CIBSE weather files are widely used for compliance verification of building performance in the UK context. This paper tests how the introduction of a new solar radiation model in weather files will affect daylighting and overheating simulation results. Examples are given on how low-energy building design considerations driven by advanced simulation techniques can help reaching indoor visual and thermal comfort requirements.

scholarly journals Solar Irradiance Prediction with Machine Learning Algorithms: A Brazilian Case Study on Photovoltaic Electricity Generation

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5657
Author(s):  
Gabriel de Freitas Viscondi ◽  
Solange N. Alves-Souza
Keyword(s):  
Machine Learning ◽  
Solar Radiation ◽  
Solar Irradiance ◽  
Electricity Generation ◽  
Meteorological Parameters ◽  
Sao Paulo ◽  
Natural Variability ◽  
Solar Irradiation ◽  
Support Vector ◽  
São Paulo

Forecasting photovoltaic electricity generation is one of the key components to reducing the impacts of solar power natural variability, nurturing the penetration of renewable energy sources. Machine learning is a well-known method that relies on the principle that systems can learn from previously measured data, detecting patterns which are then used to predict future values of a target variable. These algorithms have been used successfully to predict incident solar irradiation, but the results depend on the specificities of the studied location due to the natural variability of the meteorological parameters. This paper presents an extensive comparison of the three ML algorithms most used worldwide for forecasting solar radiation, Support Vector Machine (SVM), Artificial Neural Network (ANN), and Extreme Learning Machine (ELM), aiming at the best prediction of daily solar irradiance in a São Paulo context. The largest dataset in Brazil for meteorological parameters, containing measurements from 1933 to 2014, was used to train and compare the results of the algorithms. The results showed good approximation between measured and predicted global solar radiation for the three algorithms; however, for São Paulo, the SVM produced a lower Root-Mean-Square Error (RMSE), and ELM, a faster training rate. Using all 10 meteorological parameters available for the site was the best approach for the three algorithms at this location.

Variability class dependent evaluation of the CAMS Solar Radiation Service

2021 ◽  
Author(s):  
Faiza Azam ◽  
Jethro Betcke ◽  
Marion Schroedter-Homscheidt ◽  
Mireille Lefevre ◽  
Yves-Marie Saint-Drenan ◽  
...  
Keyword(s):  
Time Series ◽  
Quality Control ◽  
Solar Radiation ◽  
Temporal Variability ◽  
Solar Surface ◽  
Model Output ◽  
Energy Applications ◽  
Service Evolution ◽  
Monitoring Service ◽  
The Impact

<p>The Copernicus Atmospheric Monitoring Service (CAMS) offers Solar radiation services (CRS) providing information on surface solar irradiance (SSI). The service is currently derived from Meteosat Second Generation (MSG) and the service evolution includes its extension to other parts of the globe. CRS provides clear and all sky time series combining satellite data products with numerical model output from CAMS on aerosols, water vapour and ozone. These products are available from 2004 until yesterday. A regular quality control of input parameters, quarterly benchmarking against ground measurements and automatic consistency checks ensure the service quality.</p> <p>Variability of solar surface irradiances in the 1-minute range is of interest especially for solar energy applications. The variability classes can be defined based on ground as well as satellite-based measurements. This study will present the evaluation of the CAMS CRS based on the eight variability classes derived from ground observations of direct normal irradiation (DNI) (Schroedter-Homscheidt et al., 2018). Such an analysis will help assess the impact of recent improvements in the derivation of all sky irradiance under different cloudy conditions.</p> <p>References:</p> <p>Schroedter-Homscheidt, M., S. Jung, M. Kosmale, 2018: Classifying ground-measured 1 minute temporal variability within hourly intervals for direct normal irradiances. – Meteorol. Z. 27, 2, 160–179. DOI:10.1127/metz/2018/0875.</p>

Solar infrared radiation towards building energy efficiency: measurement, data, and modeling

2020 ◽  
Vol 28 (4) ◽  
pp. 457-465
Author(s):  
Yuhui Song ◽  
Qiuhua Duan ◽  
Yanxiao Feng ◽  
Enhe Zhang ◽  
Julian Wang ◽  
...  
Keyword(s):  
Solar Irradiance ◽  
Infrared Radiation ◽  
Measurement Data ◽  
Building Energy ◽  
Energy Performance ◽  
Spectral Irradiance ◽  
Solar Irradiation ◽  
Solar Spectral Irradiance ◽  
Modeling Techniques ◽  
Irradiance Data

With the recent discoveries and engineering solutions emerging in nanomaterials and nanostructures, independent band modulation of solar radiation on building envelopes, including glazing systems, has become increasingly viable as a potential means of improving building energy savings and indoor visual comfort. However, when it comes to the prediction of these new materials’ potential energy performance in buildings, most studies utilize a simple solar irradiance (e.g., global horizontal solar irradiance, direct beam solar irradiance) or a rough estimation of solar infrared (e.g., 50% solar irradiance) as input, which may cause significant errors. Consequently, there is a pressing need for reliable performance estimations of the solar infrared control and response at the building’s scale. To assess this, we need a solar spectral irradiance model, or at least a wideband (visible or infrared) solar irradiance model, as input. To develop this new type of model, one needs to understand the modeling-related key elements, including available solar spectral irradiance datasets, data collection methods, and modeling techniques. As such, this paper reviews the current major measurement methods and tools used in collecting solar spectral irradiance data with a focus on the solar infrared region, identifies the available related resources and datasets that particularly encompass the solar spectral irradiance data with a sufficient wavelength range, and studies existing solar irradiation modeling techniques for building simulations. These investigations will then form the background and backbone for a study scheme of solar infrared radiation modeling and indicate future research paths and opportunities.

scholarly journals Study of Global Solar Radiation Potential and Ground Level Albedo at Benevento Italy

1970 ◽  
Vol 8 (1-2) ◽  
pp. 284-290
Author(s):  
Khem N. Poudyal ◽  
Pasquale Daponte ◽  
Serjio Rapone ◽  
Binod Bhattari ◽  
BalKrishna Sapkota ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Solar Irradiance ◽  
Weather Condition ◽  
Ground Level ◽  
Weather Conditions ◽  
Global Solar Radiation ◽  
Solar Irradiation ◽  
North East ◽  
High Level ◽  
Local Weather

Global solar irradiance iwas measured by a calibrated pyranometer (model LP PYRA 05 Delta Ohm ISO 9060) at about 1 meter off the roof top of building of the University of Sannio, Benevento, Italy (latitude 41°08' N longitude 14°45' E and 150.0 m ), from April to June 2010. This site is about 50.0 km north east of the Naples costal area so there are fluctuations in the local weather condition. Still, there was a significant amount of intensity in global solar irradiation found. The maximum solar radiation of about 659.47 W/m2 was found at 11:00 AM with clear sky conditions on May 2010 at Benevento, Italy. The maximum and minimum value of ground level albedo, 0.74 and 0.32, was found at 6:00 AM and 11:00 AM respectively. This indicates that the daily measured data of horizontal global solar radiation decreases with an increase in ground level albedo. Besides this, we concluded that there was a high level of fluctuation in the measured value of solar irradiance due to local weather conditions. The results of the research can be utilized for the conformation of variation of solar radiation due to wind speed, humidity and environmental pollution. This study will help to estimate the global solar irradiance potential available to solar energy systems at Benevento, where the average global soar irradiance is estimated to be about 5.0 kWh/m2.Key words: Global irradiance; Reflected irradiance; Albedo; Atmospheric pollution; PotentialDOI: http://dx.doi.org/10.3126/jie.v8i1-2.5124Journal of the Institute of Engineering Vol. 8, No. 1&2, 2010/2011Page: 284-290Uploaded Date: 20 July, 2011

scholarly journals Some Applications of ANN to Solar Radiation Estimation and Forecasting for Energy Applications

2019 ◽  
Vol 9 (1) ◽  
pp. 209 ◽  
Author(s):  
Gilles Notton ◽  
Cyril Voyant ◽  
Alexis Fouilloy ◽  
Jean Laurent Duchaud ◽  
Marie Laure Nivet
Keyword(s):  
Solar Radiation ◽  
Energy Systems ◽  
Solar Irradiation ◽  
Optimal Management ◽  
Electrical Networks ◽  
Ann Model ◽  
Energy Applications ◽  
The World ◽  
Ann Models ◽  
Artificial Neural Network Ann

In solar energy, the knowledge of solar radiation is very important for the integration of energy systems in building or electrical networks. Global horizontal irradiation (GHI) data are rarely measured over the world, thus an artificial neural network (ANN) model was built to calculate this data from more available ones. For the estimation of 5-min GHI, the normalized root mean square error (nRMSE) of the 6-inputs model is 19.35%. As solar collectors are often tilted, a second ANN model was developed to transform GHI into global tilted irradiation (GTI), a difficult task due to the anisotropy of scattering phenomena in the atmosphere. The GTI calculation from GHI was realized with an nRMSE around 8% for the optimal configuration. These two models estimate solar data at time, t, from other data measured at the same time, t. For an optimal management of energy, the development of forecasting tools is crucial because it allows anticipation of the production/consumption balance; thus, ANN models were developed to forecast hourly direct normal (DNI) and GHI irradiations for a time horizon from one hour (h+1) to six hours (h+6). The forecasting of hourly solar irradiation from h+1 to h+6 using ANN was realized with an nRMSE from 22.57% for h+1 to 34.85% for h+6 for GHI and from 38.23% for h+1 to 61.88% for h+6 for DNI.

scholarly journals Impact of Temperature, Rainfall and Clearness Index on Global Solar Radiation at Nepalgunj in Nepal

2019 ◽  
Vol 6 (1) ◽  
pp. 77-83
Author(s):  
Bed Raj K.C.
Keyword(s):  
Solar Radiation ◽  
Sea Level ◽  
Solar Irradiance ◽  
Meteorological Parameters ◽  
Global Solar Radiation ◽  
Solar Irradiation ◽  
Energy Technology ◽  
Clearness Index ◽  
Annual Average ◽  
The Impact

This paper reports the first experimental results on global solar irradiance measured at the horizontal surface since 2017 using calibrated Pyranometer-2 at Nepalgunj (Lat.28.05°N, Lon.81.62°E) which is about 150m from the sea level. This paper explains the impact of temperature, rainfall and clearness Index on the intensity of global solar irradiation. The annual average measured value of GSR 16.02 MJ/m2/day which is sufficient to promote solar active and passive solar energy technology at Nepalgunj and other similar geographic allocations. The results of this research can be utilized for the conformation of variation of solar radiation with meteorological parameters   and can be used for location of similar meteorological and geographical sites where solar data are not available.   

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