Evaluation of sunshine and cloud cover based models for generating solar radiation data

Muneer, Tariq; Gul, Mehreen

doi:10.1016/s0196-8904(99)00108-9

Cited by 83 publications

(32 citation statements)

References 7 publications

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“…As described in several publications [1,[41][42][43][44], τ is influenced by five radiation-damping processes: (1) Rayleigh scattering; (2) aerosol extinction; (3) ozone absorption; (4) water vapor absorption; and (5) permanent gas absorption, leading to the partitioning of the extraterrestrial irradiance into direct, diffuse, and backscattered radiations. The atmospheric transmittance estimated and used in this study takes into account each of those processes, which can be respectively translated in the following spectral radiative transmittance factors: τ r , τ a , τ oz , τ w , τ g .…”

Section: Instantaneous Solar Radiationmentioning

confidence: 99%

Estimation of Daily Solar Radiation Budget at Kilometer Resolution over the Tibetan Plateau by Integrating MODIS Data Products and a DEM

Roupioz

Nerry

et al. 2016

Remote Sensing

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Considering large and complex areas like the Tibetan Plateau, an analysis of the spatial distribution of the solar radiative budget over time not only requires the use of satellite remote sensing data, but also of an algorithm that accounts for strong variations of topography. Therefore, this research aims at developing a method to produce time series of solar radiative fluxes at high temporal and spatial resolution based on observed surface and atmosphere properties and topography. The objective is to account for the heterogeneity of the land surface using multiple land surface and atmospheric MODIS data products combined with a digital elevation model to produce estimations daily at the kilometric level. The developed approach led to the production of a three-year time series (2008)(2009)(2010) of daily solar radiation budget at one kilometer spatial resolution across the Tibetan Plateau. The validation showed that the main improvement from the proposed method is a higher spatial and temporal resolution as compared to existing products. However, even if the solar radiation estimates are satisfying on clear sky conditions, the algorithm is less reliable under cloudy sky condition and the albedo product used here has a too coarse temporal resolution and is not accurate enough over rugged terrain.

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Section: Instantaneous Solar Radiationmentioning

confidence: 99%

Estimation of Daily Solar Radiation Budget at Kilometer Resolution over the Tibetan Plateau by Integrating MODIS Data Products and a DEM

Roupioz

Nerry

et al. 2016

Remote Sensing

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“…Iziomon and Mayer (2002) also propose parameterization from other variables comparing different cloudy situations and altitude locations. Muneer and Gul (2000) also use indirect methods based on different meteorological parameters.…”

Section: Introduction and Objectivesmentioning

confidence: 99%

Mapping a topographic global solar radiation model implemented in a GIS and refined with ground data

Pons

Ninyerola

2008

Intl Journal of Climatology

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This study proposes a methodology to compute solar radiation values on the Earth surface on a monthly and annual basis and taking into account the relief, which is not an usual approach although it has enormous importance for environmental studies. It consists of two steps: a computational, physically-based model (potential solar radiation) and a refining through meteorological data (interpolated solar radiation). The potential solar radiation model allows computing the incident energy assuming uniform atmospheric standard optical density. The only information required is a Digital Elevation Model (DEM, 180 m resolution in our case) and a number of meteorological stations providing global solar radiation data (74 in our case). This model, implemented into the MiraMon Geographic Information System (GIS), takes into account astronomical, atmospheric and geographical factors. Atmospheric effects are considered through correctors obtained by comparing the potential values with the observed at the meteorological stations. The resulting monthly correctors have been spatially interpolated to build up anomaly maps, which allow to obtain a refined solar radiation cartography. The potential model has proven to be very precise as it gives results close to the interpolated radiation values, allowing a conversion to interpolated solar radiation maps with errors of 7.3% (March), 6.1% (June), 6.4% (September) and 13.1% (December) computed from a leave-one-out cross-validation. These results are always better than those obtained by classical interpolators, and still better if the process is run on the rugged terrain areas. A sensitivity analysis estimates the influence of the DEM quality on the model, concluding that an RMS error of 8 m in the DEM heights represents an RMS error of 133 kJ·m −2 ·day −1 (mean monthly) on the results. Finally, we have applied the model to obtain the 12-monthly (based on daily average) global solar radiation maps of Catalonia (NE of Iberian Peninsula) as well as the annual one.

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“…Equations (14)- (16) show the equations for MBE, RMSE, and t-statistic, respectively. MBE can be used to determine the over or underestimation of the calculated solar radiation, and RMSE can be used to figure out the degree of dispersion of the calculated solar radiation against the measured solar radiation.…”

Section: Global Solar Radiation Results Obtained Using the Three Solamentioning

confidence: 99%

Study on Solar Radiation Models in South Korea for Improving Office Building Energy Performance Analysis

Kim

Jeong

2016

Sustainability

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Abstract:Hourly global solar radiation in a weather file is one of the significant parameters for improving building energy performance analyses using simulation programs. However, most weather stations worldwide are not equipped with solar radiation sensors because they tend to be difficult to manage. In South Korea, only twenty-two out of ninety-two weather stations are equipped with sensors, and there are large areas not equipped with any sensors. Thus, solar radiation must often be calculated by reliable solar models. Hence, it is important to find a reliable model that can be applied in the wide variety of weather conditions seen in South Korea. In this study, solar radiation in the southeastern part of South Korea was calculated using three solar models: cloud-cover radiation model (CRM), Zhang and Huang model (ZHM), and meteorological radiation model (MRM). These values were then compared to measured solar radiation data. After that, the calculated solar radiation data from the three solar models were used in a building energy simulation for an office building with various window characteristics conditions, in order to identify how solar radiation differences affect building energy performance. It was found that a seasonal solar model for the area should be developed to improve building energy performance analysis.

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Evaluation of sunshine and cloud cover based models for generating solar radiation data

Cited by 83 publications

References 7 publications

Estimation of Daily Solar Radiation Budget at Kilometer Resolution over the Tibetan Plateau by Integrating MODIS Data Products and a DEM

Estimation of Daily Solar Radiation Budget at Kilometer Resolution over the Tibetan Plateau by Integrating MODIS Data Products and a DEM

Mapping a topographic global solar radiation model implemented in a GIS and refined with ground data

Study on Solar Radiation Models in South Korea for Improving Office Building Energy Performance Analysis

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