Estimating probability distributions of solar irradiance

Voskrebenzev, A.; Riechelmann, Stefan; Bais, A. F.; Slaper, H.; Seckmeyer, Günther

doi:10.1007/s00704-014-1189-9

Cited by 10 publications

(6 citation statements)

References 46 publications

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“…For these two studies, spectra with green flags have been used only. Alternatively, the analysis may focus on a specific question like estimating probability functions (Voskrebenzev et al, 2015), where more spectra with nongreen flags may be included.…”

Section: Discussionmentioning

confidence: 99%

European UV DataBase (EUVDB) as a repository and quality analyser for solar spectral UV irradiance monitored in Sodankylä

Heikkilä

Kaurola

Lakkala

et al. 2016

Geosci. Instrum. Method. Data Syst.

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Abstract. Databases gathering atmospheric data have great potential not only as data storages but also in serving as platforms for coherent quality assurance (QA). We report on the flagging system and QA tools designed for and implemented in the European UV DataBase (EUVDB; http://uv.fmi.fi/uvdb/) for measured data on solar spectral UV irradiance. We confine the study on the data measured by Brewer #037 MkII spectroradiometer in Sodankylä (67.37° N, 26.63° E) in 1990–2014. The quality indicators associated with the UV irradiance spectra uploaded into the database are retrieved from the database and subjected to a statistical analysis. The study demonstrates the performance of the QA tools of the EUVDB. In addition, it yields an overall view of the availability and quality of the solar UV spectra recorded in Sodankylä over a quarter of a century. Over 90 % of the four main quality indicators are flagged as GREEN, indicating the highest achievable quality. For the BLACK flags, denoting data not meeting the pre-defined requirements, the percentages for all the indicators remain below 0.12 %.

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Section: Discussionmentioning

confidence: 99%

European UV DataBase (EUVDB) as a repository and quality analyser for solar spectral UV irradiance monitored in Sodankylä

Heikkilä

Kaurola

Lakkala

et al. 2016

Geosci. Instrum. Method. Data Syst.

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“…In fact, the statistical distribution of solar irradiance, or clearness index, has been well-studied for data over a wide range of temporal granularities (Voskrebenzev et al, 2015;Hollands and Suehrcke, 2013;Jurado et al, 1995;Saunier et al, 1987;Hollands and Huget, 1983). Most of these works confirm that the distribution of clearness index follows a bimodal distribution, originated from the clear and cloudy radiation states.…”

Section: Appendix B Exploratory Analysis On Distributions Of Clearnementioning

confidence: 94%

Analyzing big time series data in solar engineering using features and PCA

et al. 2017

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In solar engineering, we encounter big time series data such as the satellite-derived irradiance data and string-level measurements from a utility-scale photovoltaic (PV) system. While storing and hosting big data are certainly possible using today's data storage technology, it is challenging to effectively and efficiently visualize and analyze the data. We consider a data analytics algorithm to mitigate some of these challenges in this work. The algorithm computes a set of generic and/or application-specific features to characterize the time series, and subsequently uses principal component analysis to project these features onto a two-dimensional space. As each time series can be represented by features, it can be treated as a single data point in the feature space, allowing many operations to become more amenable. Three applications are discussed within the overall framework, namely (1) the PV system type identification, (2) monitoring network design, and (3) anomalous string detection. The proposed framework can be easily translated to many other solar engineer applications.

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“…Glasbey proposed nonlinear autoregressive time series generation with joint marginal distributions as multivariate Gaussian mixtures. The estimation of probability density distributions of the irradiance has recently been investigated by Voskrebenzev et al [9].…”

Section: %mentioning

confidence: 99%

Improved Synthesis of Global Irradiance with One-Minute Resolution for PV System Simulations

Hofmann

Riechelmann

Crisosto

et al. 2014

International Journal of Photoenergy

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High resolution global irradiance time series are needed for accurate simulations of photovoltaic (PV) systems, since the typical volatile PV power output induced by fast irradiance changes cannot be simulated properly with commonly available hourly averages of global irradiance. We present a two-step algorithm that is capable of synthesizing one-minute global irradiance time series based on hourly averaged datasets. The algorithm is initialized by deriving characteristic transition probability matrices (TPM) for different weather conditions (cloudless, broken clouds and overcast) from a large number of high resolution measurements. Once initialized, the algorithm is location-independent and capable of synthesizing one-minute values based on hourly averaged global irradiance of any desired location. The one-minute time series are derived by discrete-time Markov chains based on a TPM that matches the weather condition of the input dataset. One-minute time series generated with the presented algorithm are compared with measured high resolution data and show a better agreement compared to two existing synthesizing algorithms in terms of temporal variability and characteristic frequency distributions of global irradiance and clearness index values. A comparison based on measurements performed in Lindenberg, Germany, and Carpentras, France, shows a reduction of the frequency distribution root mean square errors of more than 60% compared to the two existing synthesizing algorithms.

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Estimating probability distributions of solar irradiance

Cited by 10 publications

References 46 publications

European UV DataBase (EUVDB) as a repository and quality analyser for solar spectral UV irradiance monitored in Sodankylä

European UV DataBase (EUVDB) as a repository and quality analyser for solar spectral UV irradiance monitored in Sodankylä

Analyzing big time series data in solar engineering using features and PCA

Improved Synthesis of Global Irradiance with One-Minute Resolution for PV System Simulations

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