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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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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1725296197482053632 |