Benchmarking clear sky and transposition models for solar irradiance estimation on vertical planes to facilitate glazed facade design

Paul, Debayan; Michele, Giuseppe De; Najafi, Behzad; Avesani, Stefano

doi:10.1016/j.enbuild.2021.111622

Cited by 8 publications

(3 citation statements)

References 47 publications

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“…For the calculation of diffuse insolation, we assume an isotropic sky hemisphere 34 . Recently, Paul et al 35 found that isotropic models tend to underestimate the global vertical incident irradiance by 6% to 12% of the peak value of the day. On the other hand, there is the advantage of reduced computing time when using the isotropic sky hemisphere, which makes it favorable for the scope of large‐scale energy system simulations.…”

Section: Methodsmentioning

confidence: 99%

Large‐scale spatiotemporal calculation of photovoltaic capacity factors using ray tracing: A case study in urban environments

Bredemeier,

Schinke,

Niepelt

et al. 2023

Progress in Photovoltaics

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Photovoltaics (PVs) on building facades, either building‐integrated or building‐attached, offer a large energy yield potential especially in densely populated urban areas. Targeting this potential requires the availability of planning tools such as insolation forecasts. However, calculating the PV potential of facade surfaces in an urban environment is challenging. Complex time‐dependent shadowing and light reflections must be considered. In this contribution, we present fast ray tracing calculations for insolation forecasts in large urban environments using clustering of Sun positions into typical days. We use our approach to determine time resolved PV capacity factors for rooftops and facades in a wide variety of environments, which is particularly useful for energy system analyses. The advantage of our approach is that the determined capacity factors for one geographic location can be easily extended to larger geographic regions. In this contribution, we perform calculations in three exemplary environments and extend the results globally. Especially for facade surfaces, we find that there is a pronounced intra‐day and also seasonal distribution of PV potentials that strongly depends on the degree of latitude. The consideration of light reflections in our ray tracing approach causes an increase in calculated full load hours for facade surfaces between 10% and 25% for most geographical locations.

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Section: Methodsmentioning

confidence: 99%

Large‐scale spatiotemporal calculation of photovoltaic capacity factors using ray tracing: A case study in urban environments

Bredemeier,

Schinke,

Niepelt

et al. 2023

Progress in Photovoltaics

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show abstract

“…Sky diffuse solar radiation is of significant importance in evaluating photovoltaic solar fields, especially in scenarios where shadows occur. In regions affected by shadows, direct solar radiation is absent, leaving only sky diffuse and ground reflected solar radiation [43]. Fig.…”

Section: Presentation Of the Measured Parametersmentioning

confidence: 99%

Learning lessons from Murzuq-Libya meteorological station

Bakouri,

Foqha,

Ahwidi

et al. 2023

jsesd

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In this study, an examination was conducted on weather data gathered from the Murzuq weather station over a period of nine months, specifically focusing on 15-minute time series solar radiation data. The data was sourced from the Center for Solar Energy Research and Studies in Tajoura-Tripoli, through a collaborative agreement between the Faculty of Engineering at Wadi Alshatti University and the research center. The information collected encompassed various solar radiation components, such as global horizontal solar radiation, direct normal radiation, sky-diffuse solar radiation, and ground reflected solar radiation. The aim of this study is to verify calculated values of these components using mathematical models by comparing them with their measured values. The investigation revealed that the Earth's reflectance value for the region was estimated and determined to be around 0.4. It is important to note that this figure was different from the typically advised value of 0.2 that was given in previous literature.

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“…The use of outdated and/or less accurate solar data from the meteorological stations and satellite database results in overestimation or underestimation of both research and design outputs which can affect the financial decisions of solar radiation-based projects and research significantly. Moreover, geostationary satellites often have no coverage in some areas on the globe [61] and hence various authors have tried to overcome this drawback by correlating the satellite derived data with corresponding ground measurements, thus generating a correction factor for the satellite data.…”

Section: Introductionmentioning

confidence: 99%

Angstrom-Prescott Type Models for Predicting Solar Irradiation for Different Locations in Zimbabwe

Iradukunda¹,

Chiteka²

2023

sv-jme

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Adequate assessment of solar radiation data is crucial for planning and designing solar energy systems. However, a major challenge facing solar energy technologies is the availability of solar radiation data at the specific area of interest. In this paper solar radiation and sunshine duration data from 29 stations in Zimbabwe were used to generate both monthly and annual Angstrom-Prescott (A-P) type coefficients, a and b, that are location based. The coefficients were developed using linear correlation between the clearness index and sunshine duration. The adaptation relationship between satellite and ground-measured irradiation had an R2 of 0.6738. The correlation between the clearness index and the sunshine duration in most of the stations was fairly high with the highest coefficient of determination, R2, of 0.9030. The A-Pregression coefficient, a, generated using the data from each station ranged between 0.2252 and 0.3976, whereas the regression coefficient, b, ranged between 0.3218 and 0.6265. The estimated and measured values of global solar radiation, He, and Hm, respectively from each station were compared using the mean absolute percentage error (MAPE), the root mean square error (RMSE), the mean absolute error (MAE) and the relative standard error (RSE). The MAE values for the models ranged from 0.5438 MJ/m2 to 2.2845 MJ/m2. The MAPE indicated a range between 2.5642 % and 10.334 %. The RSE ranged between 0.0346 % and 0.1537% while the RMSE for the models ranged from 0.7360 MJ/m2 to 2.9454 MJ/m2. The statistical indicators showed results that were within the recommended range for solar radiation predicting models from similar studies.

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Benchmarking clear sky and transposition models for solar irradiance estimation on vertical planes to facilitate glazed facade design

Cited by 8 publications

References 47 publications

Large‐scale spatiotemporal calculation of photovoltaic capacity factors using ray tracing: A case study in urban environments

Large‐scale spatiotemporal calculation of photovoltaic capacity factors using ray tracing: A case study in urban environments

Learning lessons from Murzuq-Libya meteorological station

Angstrom-Prescott Type Models for Predicting Solar Irradiation for Different Locations in Zimbabwe

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