An investigation of the performance of 14 models for estimating hourly diffuse irradiation on inclined surfaces at tropical sites

Wattan, R.; Janjai, Serm

doi:10.1016/j.renene.2016.02.076

Cited by 34 publications

(10 citation statements)

References 15 publications

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“…The main difficulty is the computation of the sky diffuse irradiance, which has been studied by many authors with different approaches ranging from the simplest isotropic model to more elaborated and complex formulations Khalil and Shaffie 2013;Liu and Jordan 1960;Loutzenhiser et al 2007;Muneer and Saluja 1985;Olmo et al 1999;Padovan and Del Col 2010;Wattan and Janjai 2016;Xie and Sengupta 2016). A review of these models, to which the reader is referred, appeared recently ).…”

Section: Estimating Irradiance On a Tilted Surfacementioning

confidence: 99%

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Second Edition

Betti

Blanc

David

et al. 2017

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Designing, financing, and operating successful solar heating, concentrating solar power, and photovoltaic systems requires reliable information about the solar resource available and its variability over time. In the past, seasonal and daily variability has been studied and understood; however, with new solar technologies becoming more important in energy supply grids, small time-scale effects are critical to successful deployment of these important low carbon technologies. A vital part of the bankability of solar projects is to understand the variability of the solar resource so that supply and storage technologies can be optimized. This handbook is the result of 10 years of international collaboration carried out by experts from the International Energy Agency's (IEA's) Solar Heating and Cooling (SHC), Solar PACES, and Photovoltaic Power Systems Technology Collaboration Programmes. Under IEA SHC Task 46: Solar Resource Assessment and Forecasting, experts from 11 countries produced information products and best practices on solar energy resources that will greatly benefit project developers and system operators as well as assist policymakers in advancing renewable energy programs worldwide.Meteorologists, mathematicians, solar technology specialists, and other key solar resource experts from around the world joined forces to further our understanding of the sun's temporal and spatial variability through benchmarking satellite-derived solar resource data and solar forecasts, developing best practices for measuring the solar resource, and conducting research to improve satellite-based algorithms. The results of IEA SHC Task 46 are useful to a wide range of users of solar heating and cooling, photovoltaics, and concentrating solar power systems and of building developers and owners as well as anyone else who needs to understand and predict sunlight for agricultural or other purposes.The earlier edition of the handbook, which was published in 2015, is used worldwide as a reference for each stage of a solar energy project. Since that time, there has been substantial growth in the interest in high-quality "bankable" solar resource data. This revision adds significant new methods so it will be even more useful. This publication is a summary that details the fundamentals of solar resources as well as captures the state of the art. For those wanting more depth, it also provides the references where more detailed information can be found. I would like to acknowledge the leadership of the National Renewable Energy Laboratory and express appreciation to the U.S. Department of Energy for producing the handbook and incorporating results from IEA SHC Task 46.

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Section: Estimating Irradiance On a Tilted Surfacementioning

confidence: 99%

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Second Edition

Betti

Blanc

David

et al. 2017

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“…These studies revealed that even in the same region, the uncertainties of the solar radiation model were found to vary according to the direction and slope of the surface. Many other studies [22][23][24][25][26] have been conducted in the last two decades to evaluate transposition models and the results show that the performance of models varies, depending on the quality of the input data, the surface orientation and the measurement location.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Modelled and Measured Tilted Solar Irradiance for Photovoltaic Applications

et al. 2017

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This work assesses the performance of five transposition models that estimate the global and diffuse solar irradiance on tilted planes based on the global horizontal irradiance. The modelled tilted irradiance values are compared to measured one-minute values from pyranometers and silicon sensors tilted at different angles at Hannover (Germany) and NREL (Golden, CO, USA). It can be recognized that the deviations of the model of Liu and Jordan, Klucher and Perez from the measurements increases as the tilt angle increases and as the sensors are oriented away from the south direction, where they receive lower direct radiation than south-oriented surfaces. Accordingly, the vertical E, W and N planes show the highest deviation. Best results are found by the models from Hay and Davies and Reindl, when horizontal pyranometer measurements and a constant albedo value of 0.2 are used. The relative root mean squared difference (rRMSD) of the anisotropic models does not exceed 11% for south orientation and low inclination angles (β = 10-60 • ), but reaches up to 28.9% at vertical planes. For sunny locations such as Golden, the Perez model provides the best estimates of global tilted irradiance for south-facing surfaces. The relative mean absolute difference (rMAD) of the Perez model at NREL ranges from 4.2% for 40 • tilt to 8.7% for 90 • tilt angle, when horizontal pyranometer measurements and a measured albedo value are used; the use of measured albedo values instead of a constant value of 0.2 leads to a reduction of the deviation to 3.9% and 6.0%, respectively. The use of higher albedo values leads to a significant increase of rMAD. We also investigated the uncertainty resulting from using horizontal pyranometer measurements, in combination with constant albedo values, to estimate the incident irradiance on tilted photovoltaic (PV) modules. We found that these uncertainties are small or negligible.

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“…The main difficulty is the computation of the sky diffuse irradiance, which has been studied by many authors with different approaches ranging from the simplest isotropic model to more elaborate and complex formulations (Gueymard 1987;Khalil and Shaffie 2013;Liu and Jordan 1960;Loutzenhiser et al 2007;Muneer and Saluja 1985;Olmo et al 1999;Padovan and Del Col 2010;Ridley, Boland, and Lauret 2010;Wattan and Janjai 2016;. See the recent review of these models in Yang (2016).…”

Section: Estimating Irradiance On a Tilted Surfacementioning

confidence: 99%

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Third Edition

Sengupta

Habte

Wilbert

et al. 2021

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An investigation of the performance of 14 models for estimating hourly diffuse irradiation on inclined surfaces at tropical sites

Cited by 34 publications

References 15 publications

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Second Edition

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Second Edition

Comparison of Modelled and Measured Tilted Solar Irradiance for Photovoltaic Applications

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Third Edition

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