Comparative Analysis of Global Solar Radiation Models in Different Regions of China

Zhang, Qingwen; Cui, Ningbo; Feng, Yu; Jia, Yue; Li, Zhuo; Gong, Daozhi

doi:10.1155/2018/3894831

Cited by 27 publications

(45 citation statements)

References 40 publications

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“…The solar declination angle's mathematical formula can be seen in equation 1. J is the calendar day in this equation with J = 1 on January 1 and J = 365 (or 366 during leap years) on December31 [26][27][28]. Where I sc is the solar constant and it is equal to 4.921 MJ/day.m 2 [27], w s is the sunrise hour angle (eq.…”

Section: Calculations Of Daily Extraterrestrial Solar Radiationmentioning

confidence: 99%

Estimation of Global Solar Radiation from Temperature Extremes: A Case Study of Hebron City, Palestine

Alsamamra¹

2019

JENR

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Solar radiation is the main energy source for mankind and an accurate data of solar radiation levels for a particular location is vital for the optimum operation of solar energy transducers such as photovoltaic cells and solar thermal collectors. This study aimed to calibrate some of the existing models in the literature for estimating daily global solar radiation parameter using available measured records of air temperature extremes and new models were developed based on maximum and minimum air temperatures. Applicability of the Hargreaves model, Allen model, Bristow-Campbell model and Chen et al. model were evaluated for computing the global solar radiation for Hebron city in Palestine. Estimated values were compared with measured values in terms of the coefficient of determination (R 2 ) and root mean square error (RMSE). All models provide good estimates when compared to the accurate values with R 2 0.9226 (Bristow-Campbell model) to 0.9547 (Chen et al. model), while the proposed model provides a value of 0.9632. The RMSE value ranges from 0.7632 for Chen et al. model to 0.9211 for Bristow-Campbell model, however a lower value (0.7118) for the proposed model. This study found that the proposed model estimates global solar radiation at the location of study better than the other models.

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Section: Calculations Of Daily Extraterrestrial Solar Radiationmentioning

confidence: 99%

Estimation of Global Solar Radiation from Temperature Extremes: A Case Study of Hebron City, Palestine

Alsamamra¹

2019

JENR

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“…Quantitative knowledge of Surface Solar Irradiance (SSI) is required in a wide range of scientific and technological applications. Complete and accurate SSI data at a specific site are highly important for regional crop growth modeling, evapotranspiration estimates and hydrological monitoring [1][2][3][4][5][6][7][8]. Furthermore, SSI is of fundamental importance to Earth's biosphere and climate [9]; SSI estimation also plays a significant role in the design of photovoltaic power and solar heating systems within the renewable energy industry [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Hourly Surface Solar Irradiance Estimation Using MSG Rapid Scanning Service

et al. 2019

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The purpose of this work is to explore the effect of temporal sampling on the accuracy of the hourly mean Surface Solar Irradiance (SSI) estimation. An upgraded version of the Advanced Model for the Estimation of Surface Solar Irradiance from Satellite (AMESIS), exploiting data from the Meteosat Second Generation Rapid Scanning Service (MSG-RSS), has been used to evaluate the SSI. The assessment of the new version of AMESIS has been carried out against data from two pyranometers located in Southern (Tito) and Northern (Ispra) Italy at an altitude of 760 m and 220 m, respectively. The statistical analysis of the comparison between hourly mean SSI estimates based on temporal sampling every five minutes shows a quantitative improvement compared to those based on 15-minute sampling. In particular, for the whole dataset in Tito, the correlation increases from 0.979 to 0.998, the Root Mean Square Error (RMSE) decreases from 45.16 W/m2 to 13.19 W/m2 and the Mean Bias Error (MBE) is reduced from −0.67 W/m2 to −0.02 W/m2. For the whole dataset in Ispra, the correlation increases from 0.995 to 0.998, the RMSE decreases from 24.85 W/m2 to 15.59 W/m2, whereas the MBE increases from 3.84 W/m2 to 4.58 W/m2. This preliminary assessment shows that higher temporal sampling can improve SSI monitoring over areas featuring frequent and rapid solar irradiance variation.

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“…Global solar radiation (H s ) directly influences the physical, chemical, and biological processes that occur in the biosphere atmosphere [1]. Spatial, temporal, and seasonal variations in H s influence planning and decision-making activities related to many fields, such as the energy, hydrological, environmental, agricultural, and meteorological areas [2][3][4]. e H s is an important input variable for developing thermal and photovoltaic energy systems, estimating evapotranspiration, dimensioning water demand for irrigation in agriculture, agroclimatic zoning, or simulating growth models for crop yield, harvesting, and projecting sustainable buildings, not to mention studying climate change [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…e H s is an important input variable for developing thermal and photovoltaic energy systems, estimating evapotranspiration, dimensioning water demand for irrigation in agriculture, agroclimatic zoning, or simulating growth models for crop yield, harvesting, and projecting sustainable buildings, not to mention studying climate change [5][6][7]. For this, complete and accurate H s data at a specific region are crucial for regional climate assessment and all other applications [4].…”

Section: Introductionmentioning

confidence: 99%

Global Solar Radiation Models in Minas Gerais, Southeastern Brazil

Monteiro

Martins

2019

Advances in Meteorology

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Accurate and complete global solar radiation (Hs) data at a specific region are crucial for regional climate assessment, crop growth modeling, and all operations that use solar energy. However, in the Minas Gerais state, Southeastern Brazil (SEB), the number of weather stations that measure global solar radiation is scarce, and when it is available, it presents gaps in the time series. An attractive alternative to solve the data gap problem is to estimate global solar radiation using empirical models. In this study, thirteen models based on maximum and minimum air temperatures, precipitation, sunshine duration, and extraterrestrial solar radiation were compared in the daily estimation of Hs. Data from 10 weather stations, from 1999 to 2017, located in Minas Gerais were used. Also, cluster analysis was used to group the localities (weather stations) with similar patterns of model performance, climatic classification (Köppen–Geiger and Thornthwaite), and seasonal data variability, considering minimum and maximum air temperatures, precipitation, sunshine duration, and global solar radiation. Although it is apparently simple, studies on this subject are scarce and the few existing ones in Minas Gerais have flaws, which justifies this study. The models were evaluated by root mean square error (RMSE), mean absolute percentage error (MAPE), mean bias error (BIAS), Willmott’s index of agreement (d), and performance index (c-index). Models based on sunshine duration, such as those proposed by Ertekin and Yaldiz and by Newland, showed the best performance (average c-index = 0.71). Models based on temperature and precipitation showed the worst results (average c-index = 0.41). Cluster analysis showed that there is a similar pattern between the performance of the models, climatic classification, and seasonal variability of data among the localities of Minas Gerais. In general, models that presented extremely poor performance were formed with weather stations located in the dry zone, but with different climate classification, and models that presented very good (and good) performance were composed by weather stations located in the humid zone (dry subhumid) with the same climate classification and similar seasonal variability. Furthermore, the models based on temperature have a tendency to overestimate radiation values below 10 MJ·m−2 day−1 and to underestimate values higher than 25 MJ·m−2 day−1. This point is a limitation of the model for estimating global solar radiation below and above these levels, showing the influence of atmospheric systems and atmospheric attenuation mechanisms of global solar radiation.

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Comparative Analysis of Global Solar Radiation Models in Different Regions of China

Cited by 27 publications

References 40 publications

Estimation of Global Solar Radiation from Temperature Extremes: A Case Study of Hebron City, Palestine

Estimation of Global Solar Radiation from Temperature Extremes: A Case Study of Hebron City, Palestine

Improvement of Hourly Surface Solar Irradiance Estimation Using MSG Rapid Scanning Service

Global Solar Radiation Models in Minas Gerais, Southeastern Brazil

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