Influence of Various Irradiance Models and Their Combination on Simulation Results of Photovoltaic Systems

We analyze the output of various state-of-the-art irradiance models for photovoltaic systems. The models include two sun position algorithms, three types of input data time series, nine diffuse fraction models and five transposition models (for tilted surfaces), resulting in 270 different model chai...

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Main Authors: Martin Hofmann, Gunther Seckmeyer
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/10/10/1495
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spelling doaj-b44318acc26b440a9854ca73590958842020-11-25T00:38:51ZengMDPI AGEnergies1996-10732017-09-011010149510.3390/en10101495en10101495Influence of Various Irradiance Models and Their Combination on Simulation Results of Photovoltaic SystemsMartin Hofmann0Gunther Seckmeyer1Valentin Software GmbH, Stralauer Platz 34, 10243 Berlin, GermanyInstitute for Meteorology and Climatology, Leibniz Universität Hannover, Herrenhäuser Straße 2, 30419 Hannover, GermanyWe analyze the output of various state-of-the-art irradiance models for photovoltaic systems. The models include two sun position algorithms, three types of input data time series, nine diffuse fraction models and five transposition models (for tilted surfaces), resulting in 270 different model chains for the photovoltaic (PV) system simulation. These model chains are applied to 30 locations worldwide and three different module tracking types, totaling in 24,300 simulations. We show that the simulated PV yearly energy output varies between −5% and +8% for fixed mounted PV modules and between −26% and +14% for modules with two-axis tracking. Model quality varies strongly between locations; sun position algorithms have negligible influence on the simulation results; diffuse fraction models add a lot of variability; and transposition models feature the strongest influence on the simulation results. To highlight the importance of irradiance with high temporal resolution, we present an analysis of the influence of input temporal resolution and simulation models on the inverter clipping losses at varying PV system sizing factors for Lindenberg, Germany. Irradiance in one-minute resolution is essential for accurately calculating inverter clipping losses.https://www.mdpi.com/1996-1073/10/10/1495photovoltaicssimulationirradiationBSRNdiffusediffuse fractionirradiancemodeltranspositionhigh resolutiontiltedinclined
collection DOAJ
language English
format Article
sources DOAJ
author Martin Hofmann
Gunther Seckmeyer
spellingShingle Martin Hofmann
Gunther Seckmeyer
Influence of Various Irradiance Models and Their Combination on Simulation Results of Photovoltaic Systems
Energies
photovoltaics
simulation
irradiation
BSRN
diffuse
diffuse fraction
irradiance
model
transposition
high resolution
tilted
inclined
author_facet Martin Hofmann
Gunther Seckmeyer
author_sort Martin Hofmann
title Influence of Various Irradiance Models and Their Combination on Simulation Results of Photovoltaic Systems
title_short Influence of Various Irradiance Models and Their Combination on Simulation Results of Photovoltaic Systems
title_full Influence of Various Irradiance Models and Their Combination on Simulation Results of Photovoltaic Systems
title_fullStr Influence of Various Irradiance Models and Their Combination on Simulation Results of Photovoltaic Systems
title_full_unstemmed Influence of Various Irradiance Models and Their Combination on Simulation Results of Photovoltaic Systems
title_sort influence of various irradiance models and their combination on simulation results of photovoltaic systems
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2017-09-01
description We analyze the output of various state-of-the-art irradiance models for photovoltaic systems. The models include two sun position algorithms, three types of input data time series, nine diffuse fraction models and five transposition models (for tilted surfaces), resulting in 270 different model chains for the photovoltaic (PV) system simulation. These model chains are applied to 30 locations worldwide and three different module tracking types, totaling in 24,300 simulations. We show that the simulated PV yearly energy output varies between −5% and +8% for fixed mounted PV modules and between −26% and +14% for modules with two-axis tracking. Model quality varies strongly between locations; sun position algorithms have negligible influence on the simulation results; diffuse fraction models add a lot of variability; and transposition models feature the strongest influence on the simulation results. To highlight the importance of irradiance with high temporal resolution, we present an analysis of the influence of input temporal resolution and simulation models on the inverter clipping losses at varying PV system sizing factors for Lindenberg, Germany. Irradiance in one-minute resolution is essential for accurately calculating inverter clipping losses.
topic photovoltaics
simulation
irradiation
BSRN
diffuse
diffuse fraction
irradiance
model
transposition
high resolution
tilted
inclined
url https://www.mdpi.com/1996-1073/10/10/1495
work_keys_str_mv AT martinhofmann influenceofvariousirradiancemodelsandtheircombinationonsimulationresultsofphotovoltaicsystems
AT guntherseckmeyer influenceofvariousirradiancemodelsandtheircombinationonsimulationresultsofphotovoltaicsystems
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