Development and Test of Gap Filling Procedures for Solar Radiation Data of the Indian SRRA Measurement Network

Schwandt, Marko; Chhatbar, Kaushal; Meyer, Richard; Fross, Katharina; Mitra, Indradip; Vashistha, Ramadhan; Giridhar, G.; Gomathinayagam, S.; Kumar, Ashok

doi:10.1016/j.egypro.2014.10.096

Cited by 25 publications

(14 citation statements)

References 3 publications

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“…The formulation of the quality control scheme is presented in Table 2, for GHI (Global Horizontal Irradiance), DNI (Direct Normal Irradiance), and DIF (Diffuse Horizontal Irradiance). In [23][24][25], several approaches for gap-filling are presented, ranging from linear interpolation to more complex techniques; therefore, given the local character of each measurement site and the high sampling frequency, in the case of any data gaps or decidedly erroneous data, they are corrected using persistency of clearness index and diffuse fraction for irradiance and linear interpolation for the remainder of the variables.…”

Section: Clear Sky Modelingmentioning

confidence: 99%

Analyzing Regional and Local Changes in Irradiance during the 2019 Total Solar Eclipse in Chile, Using Field Observations and Analytical Modeling

2021

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Solar eclipses are astronomic phenomena in which the Earth’s moon transits between the planet and the Sun, projecting a shadow onto the planet’s surface. As solar power installed capacity increases, detailed studies of this region-wide phenomenon’s effect in irradiance is of interest; however, the literature mainly reports its effects on localized scales. A measurement campaign spanning over 1400 km was pursued for the 2 July 2019 total solar eclipse in Chile, to register the event and establish a modeling framework to assess solar eclipse effects in irradiance over wide regional scales. This work describes the event and presents an estimation framework to decompose atmospheric and eclipse effects on irradiance. An analytical model was applied to study irradiance attenuation throughout the Chilean mainland territory, using satellite-derived and astronomical data as inputs compared to ground measurements in eight stations. Results showed good agreement between model and observations, with Mean Bias Errors of −0.008 to 0.98 W/m2 for Global Horizontal Irradiance and −0.004 to −4.664 W/m2 for Direct Normal Irradiance, with Normalized Root Mean Squared Errors of 0.7–5.8% and 1.4–12.2%, respectively. Energy losses due to obscuration corresponded between 20–40% for Global Horizontal Irradiance and 25–50% for Direct Normal Irradiance over Chilean territory.

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Section: Clear Sky Modelingmentioning

confidence: 99%

Analyzing Regional and Local Changes in Irradiance during the 2019 Total Solar Eclipse in Chile, Using Field Observations and Analytical Modeling

2021

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“…In the case of photovoltaoc time serie, choosing the appropriate method depends on different factors such as length of existing data, availability of reliable meteorological data and climate of the location [24]. The conventional interpolation stills the most used methods [2,23,28] because of their simplicity, but they are not always the most efficient. Meany other methods are presented in literature, such as regression, ARIMA, Spline, polynomial fitting [2].…”

Section: Platform and Datamentioning

confidence: 99%

Development and performance evaluation of mixed-mode solar dryer with forced convection

Pardhi

Bhagoria

2013

Int J Energy Environ Eng

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Bubble formation phenomena in a two-phase gas/liquid system occur in many industries that involve boiling; such as desalination stations, nuclear reactors, chemical plants, and fluid piping transportation and processes. Bubble formation phenomena cause problems, such as a decrease in equipment efficiency, vibration, noise, and solid surface erosion. Applications of the acoustic emission (AE) technique for monitoring bubble formation and burst stages in boiling processes are marginal in terms of extension in comparison to other applications of the AE technique. The use of the AE technique in this experimental investigation covers the frequency range between 100 and 1000 kHz, showing that the AE sensor can detect acoustic emissions from an occurrence of bubble formation. Statistically, it was found that the best AE parameter indicator for bubble formation was AE-RMS (root mean square).

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“…Schwandt et al. (2014) proposed a so‐called “basic gap filling” method, which fills gaps of one category of solar radiation, for instance diffuse horizontal irradiance. This method applies an equation relating other types of solar radiation, such as global horizontal irradiance and direct normal irradiance.…”

Section: Introductionmentioning

confidence: 99%

A Machine Learning Technique for Spatial Interpolation of Solar Radiation Observations

Leirvik

Yuan

2021

Earth and Space Science

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Downwelling surface shortwave radiation, or surface solar radiation (hereafter referred to as SSR), is a fundamental determinant of the global energy balance, and a crucial driving force for temperature change and hydrological cycle variation (Budyko, 1969;Obryk et al., 2018). Furthermore, the impact of SSR on various aspects of a country's economy is widespread, including, but not limited to agricultural productivity, energy use, food security, and human health risk from increased poverty risk (

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Development and Test of Gap Filling Procedures for Solar Radiation Data of the Indian SRRA Measurement Network

Cited by 25 publications

References 3 publications

Analyzing Regional and Local Changes in Irradiance during the 2019 Total Solar Eclipse in Chile, Using Field Observations and Analytical Modeling

Analyzing Regional and Local Changes in Irradiance during the 2019 Total Solar Eclipse in Chile, Using Field Observations and Analytical Modeling

Development and performance evaluation of mixed-mode solar dryer with forced convection

A Machine Learning Technique for Spatial Interpolation of Solar Radiation Observations

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