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  4. Corrigendum to "On the search for representative characteristics of PV systems: Data collection and analysis of PV system azimuth, tilt, capacity, yield and shading" (Solar Energy (2018) 173 (1087-1106), (10.1016/j.solener.2018.08.051))
 
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2019
Journal Article
Title

Corrigendum to "On the search for representative characteristics of PV systems: Data collection and analysis of PV system azimuth, tilt, capacity, yield and shading" (Solar Energy (2018) 173 (1087-1106), (10.1016/j.solener.2018.08.051))

Abstract
This corrigendum specifically addresses mistakes or oversights into the original paper by Killinger et al. (2018). We explicitly state that none of the results or findings in the original paper were incorrect or indeed conflicted as a result of these mistakes. The nature of these changes merely impacts the ability of the reader to reproduce the statistics. As a summary, the original paper (Killinger et al., 2018) collected metadata from 2.8 million photovoltaic (PV) systems and summarised the variables of tilt angle, azimuth angle, installed capacity and full load hours for each country of the study in terms of a fitted probability distribution. Many types of probability distribution were fitted and those that were most appropriate were assigned to each country and variable resulting in 96 parameterisations. The distributions were produced using Matlab but were stated in terms of where is a parameter specified for the particular distribution type and is the specific formulation. This document aims to correct a statement about whether x was normalised prior to parameterisation (Section 1), correct typographic errors in the formulations (Section 2) and to offer a Matlab® function and test script as supplementary material that provides simple random sampling of the distributions such that the reader may bypass the need for formulations (Section 3).
Author(s)
Bright, Jamie M.
Killinger, Sven
Journal
Solar energy  
DOI
10.1016/j.solener.2019.04.030
Language
English
Fraunhofer-Institut für Solare Energiesysteme ISE  
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