An analytical approach for estimating the global horizontal from the global tilted irradiance

Halilovic, Smajil; Bright, Jamie M.; Herzberg, Wiebke; Killinger, Sven

doi:10.1016/j.solener.2019.06.027

Cited by 11 publications

(4 citation statements)

References 17 publications

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“…It is also important to highlight that the effect of the Global Tilted Irradiance (GTI) has been commonly analyzed using simulations [20,21], where the horizontal data is translated to the desired incidence angle using mathematical models [22]. Such an approximation, based on translational models, are used since traditional pyranometers are installed in horizontal planes, hence horizontal irradiance data is the only available for the PV generation analysis.…”

Section: Hardware In Contextmentioning

confidence: 99%

A low-cost system for real-time measuring of the sunlight incident angle using IoT

et al. 2022

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Section: Hardware In Contextmentioning

confidence: 99%

A low-cost system for real-time measuring of the sunlight incident angle using IoT

et al. 2022

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“…An iterative method allows the estimation of the global horizontal irradiance using Perez transposition models and power measurements; an nRMSE of 15.1% was obtained in the best case [29]; another iterative method coupling two combined algorithms has been also used [6]; it was underlined that such iterative approaches can have some convergence problems [30].…”

Section: Problem and State Of Artmentioning

confidence: 99%

Experimental Application of Methods to Compute Solar Irradiance and Cell Temperature of Photovoltaic Modules

Abe

Dias

Notton

et al. 2020

Sensors

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Solar irradiance and cell temperature are the most significant aspects when assessing the production of a photovoltaic system. To avoid the need of specific sensors for quantifying such parameters, recent literature presents methods to estimate them through electrical measurements, using the photovoltaic module itself as a sensor. This work presents an application of such methods to data recorded using a research platform at University of Corsica, in France. The methods and the platform are briefly presented and the results are shown and discussed in terms of normalized mean absolute errors (nMAE) and root mean square errors (nRMSE) for various irradiance and cell temperature levels. The nMAE (and nRMSE) for solar irradiance are respectively between 3.5% and 3.9% (4.2% and 4.7%). Such errors on computed irradiance are in the same order of magnitude as those found in the literature, with a simple implementation. For cell temperatures estimation, the nMAE and nRMSE were found to be in the range 3.4%–8.2% and 4.3%–10.7%. These results show that using such methods could provide an estimation for the values of irradiance and cell temperature, even if the modules are not new and are not regularly cleaned, but of course not partially shaded.

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“…A similar approach is taken in Elsinga et al (2017), in this case using a single diode PV model and a different decomposition model. In Halilovic et al (2019) the authors replaced the original iterative approach used in Killinger et al (2016) by an analytical method, to minimise computational cost. In Nespoli and Medici (2017) a different method is introduced, in this case without the need for system-specific information such as orientation or nominal power.…”

Section: Introductionmentioning

confidence: 99%

Irradiance and cloud optical properties from solar photovoltaic systems

Barry

Meilinger

Pfeilsticker

et al. 2023

Preprint

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Abstract. Solar photovoltaic power output is modulated by atmospheric aerosols and clouds and thus contains valuable information on the optical properties of the atmosphere. As a ground-based data source with high spatiotemporal resolution it has great potential to complement other ground-based solar irradiance measurements as well as those of weather models and satellites, thus leading to an improved characterisation of global horizontal irradiance. In this work several algorithms are presented that can retrieve global tilted and horizontal irradiance and atmospheric optical properties from solar photovoltaic data and/or pyranometer measurements. Specifically, the aerosol (cloud) optical depth is inferred during clear sky (completely overcast) conditions. The method is tested on data from two measurement campaigns that took place in Allgäu, Germany in autumn 2018 and summer 2019, and the results are compared with local pyranometer measurements as well as satellite and weather model data. Using power data measured at 1 Hz and averaged to 1 minute resolution, the hourly global horizontal irradiance is extracted with a mean bias error compared to concurrent pyranometer measurements of 11.45 W m−2, averaged over the two campaigns, whereas for the retrieval using coarser 15 minute power data the mean bias error is 16.39 W m−2. During completely overcast periods the cloud optical depth is extracted from photovoltaic power using a lookup table method based on a one-dimensional radiative transfer simulation, and the results are compared to both satellite retrievals as well as data from the COSMO weather model. Potential applications of this approach for extracting cloud optical properties are discussed, as well as certain limitations, such as the representation of 3D radiative effects that occur under broken cloud conditions. In principle this method could provide an unprecedented amount of ground-based data on both irradiance and optical properties of the atmosphere, as long as the required photovoltaic power data are available and are properly pre-screened to remove unwanted artefacts in the signal. Possible solutions to this problem are discussed in the context of future work.

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An analytical approach for estimating the global horizontal from the global tilted irradiance

Cited by 11 publications

References 17 publications

A low-cost system for real-time measuring of the sunlight incident angle using IoT

A low-cost system for real-time measuring of the sunlight incident angle using IoT

Experimental Application of Methods to Compute Solar Irradiance and Cell Temperature of Photovoltaic Modules

Irradiance and cloud optical properties from solar photovoltaic systems

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