Correlation between global solar irradiation and air temperature in Asturias, Spain

Prieto, Jesús-Ignacio; Martínez-García, J.C.; García, David

doi:10.1016/j.solener.2009.01.012

Cited by 54 publications

(37 citation statements)

References 14 publications

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“…Por se tratar do principal fator meteorológico, a radiação solar diária incidente em uma superfície horizontal (R s ) é de grande relevância em estudos ecológicos e ambientais, constituindo-se como principal fator condicionante da temperatura do ar, do solo, dos processos de evapotranspiração e dos modelos que simulam o crescimento e a produtividade de uma cultura (Trnka et al, 2007;Abraha & Savage, 2008). A quantificação da radiação solar é necessária também para dimensionamento de sistemas geradores de energia solar fotovoltaica e energia térmica (Kaplanis & Kaplani, 2007;Prieto et al, 2009;Almorox et al, 2011). Uma vez que a R s varia de acordo com a latitude do local, com as condições atmosféricas e posicionamento do Sol ao longo do dia, tornase imprescindível o monitoramento da sua variação espacial e temporal.…”

Section: Introductionunclassified

Radiação solar estimada com base na temperatura do ar para três regiões de Minas Gerais

Silva

Júnior

et al. 2012

Rev. bras. eng. agríc. ambient.

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R ESU M OA radiação solar incidente (R s ) é uma variável importante em estudos agrícolas, particularmente para a estimativa da evapotranspiração e em modelos para produtividade. Entretanto, sua medição não é, em geral, realizada em estações meteorológicas convencionais. O objetivo deste trabalho foi avaliar nove modelos empíricos de estimativa de R s , a partir da temperatura, para as regiões Metropolitana, Vale do Rio Doce e Zona da Mata em Minas Gerais. Dados de R s diários foram obtidos por estações meteorológicas automáticas instaladas nessas regiões e pertencentes ao Instituto Nacional de Meteorologia (INMET). Para todos os modelos foram gerados coeficientes locais de calibração. O desempenho de cada método foi avaliado através dos seguintes indicadores: coeficiente de determinação (R 2 ), raiz quadrada do quadrado médio do erro (RQME), erro médio (EM) e teste t. A pequena diferença entre os modelos avaliados indica que qualquer um desses modelos é passível de utilização mas, dado à simplicidade, desempenho e significância, o modelo de Hargreaves, calibrado e com dois coeficientes, é o mais aplicável para estimar a radiação solar incidente.Palavras-chave: calibração, equações empíricas, Hargreaves, Bristow-Campbell Estimation of solar radiation by air temperature models for three regions of Minas Gerais A B ST R A C T The incident solar radiation (R s ) is an important variable in agricultural studies, particularly for the estimation of evapotranspiration and yield models. However, its measurement is not commonly performed in conventional meteorological stations. The aim of this study was to evaluate nine empirical models to estimate R s from the temperature for the Metropolitan, Vale do Rio Doce and Zona da Mata areas in Minas Gerais State, Brazil. The models used were Hargreaves, Annandale, Chen, Bristow & Campbell, Donatelli & Campbell and Hunt. Data used were obtained by R s daily automatic weather stations installed in these regions and belonging to Instituto Nacional de Meteorologia (INMET). For all models local calibration coefficients were derived. The performance of each method was evaluated using the following statistical indicators: coefficient of determination (R 2 ), root mean square error (RMSE), mean bias error (MBE) and test-t. The little difference between the models evaluated suggests that any of these models may be used. However, given the simplicity, performance and significance, the model of Hargreaves, calibrated and with two coefficients, is the most suitable for estimating incident solar radiation.

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Section: Introductionunclassified

Radiação solar estimada com base na temperatura do ar para três regiões de Minas Gerais

Silva

Júnior

et al. 2012

Rev. bras. eng. agríc. ambient.

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“…The assumption of the potential model ( ) ( ) b L z a L z = f led to acceptable results for meteorological stations with similar latitude, located either at relatively nearby sites in coastal areas that are close to valleys and mountains, or stations located as far as 100 km away in dry, nonmountainous areas [5].…”

Section: A Improvement Of Correlation By Means Of a Non-potential Fumentioning

confidence: 99%

“…The experimental data considered to validate this model were those corresponding to the eight stations located in Asturias, previously analysed from the potential model point of view [5], as well as the ones registered in two stations located at similar latitudes near the East and West limits of Asturias, i.e. Santander and Lugo.…”

Section: A Improvement Of Correlation By Means Of a Non-potential Fumentioning

confidence: 99%

Notes on the Solar Map of Asturias

Prieto¹,

Martínez-García²,

García³

et al. 2024

RE&PQJ

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The Solar Map of Asturias (SMA) is the result of a research work carried out within the project ‘‘Bio-climatic Architecture and Solar Cooling” (PSE-ARFRISOL). It is based on a correlation model, recently published, between solar irradiation and air temperature, and on the application of the software ArcGIS 9.3 for the spatial interpolation among data from 63 meteorological stations. The paper shows that the SMA estimations predict difficulties to attain in some areas the minimum solar contribution established by the Spanish Technical Code of Building. Those predictions are compared with the ones obtained by combining experimental data, Geographic Information Systems, and a solar radiation model able of computing the effects of shadows caused by the orography of the ground. It is expected that the combination of both procedures may contribute to the improvement of future SMA editions.

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“…In 2019, Attia [22] proposed a new classification of the island based on the Rakoto-Joseph and Peel approaches. Using solar irradiation, temperature and topography data from Madagascar, synthesized within the Prieto equation [38], Attia defined six characteristic climatic zones. This approach used a threshold-based method to define layers and infer zoning and used the databases of 9 stations spread over the territory (Tolagnaro, Toliary, Antananarivo, Mahajanga, Nosy-Be, Antsiranana, Sambava, Toamasina, and Fianarantsoa).…”

Section: Existing Climatic Zoning Of Madagascarmentioning

confidence: 99%

GIS-based approach to identify climatic zoning: A hierarchical clustering on principal component analysis

Praene¹,

Malet-Damour²,

Radanielina

et al. 2019

Building and Environment

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In tropical environments, the design of bioclimatic houses adapted to their environment is a crucial issue when considering comfort and limiting energy needs. A preliminary part of such design is an accurate knowledge of the climatic conditions in each region of the studied territory. The objective of this paper is to propose climatic zoning from a database of 47 meteorological stations in Madagascar by investigating hierarchical clustering on principal components. Then, theses results are combined with a spatial interpolation using a Geographic Information System approach. This step allows us to define three climatic zones corresponding to dry, humid and highland zones. These results make it possible to define standard meteorological files that are used to evaluate the thermal performance of traditional Malagasy houses. Regardless of the type of house and the areas considered, the percentage of comfort, according to Givoni bioclimatic chart, varies from an average value of 20 % to 70 % without ventilation and with an air velocity of 1 m/s, respectively. It can be concluded that Madagascar's traditional habitat has adapted over time to the constraints of its environment.

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Correlation between global solar irradiation and air temperature in Asturias, Spain

Cited by 54 publications

References 14 publications

Radiação solar estimada com base na temperatura do ar para três regiões de Minas Gerais

Radiação solar estimada com base na temperatura do ar para três regiões de Minas Gerais

Notes on the Solar Map of Asturias

GIS-based approach to identify climatic zoning: A hierarchical clustering on principal component analysis

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