Improving the Accuracy of PV Yield Calculation by Exploitation of Real Weather Data
The precision of yield calculation of modern design and simulation software for photovoltaic systems strongly rely, beside the accuracy of the specified module and inverter data, on the quality of the weather data. Since data from weather stations is not available for most locations world-wide this...
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| Format: | Article |
| Language: | English |
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TIB Open Publishing
2025-01-01
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| Series: | SiliconPV Conference Proceedings |
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| Online Access: | https://www.tib-op.org/ojs/index.php/siliconpv/article/view/1296 |
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| author | Andreas Schneider Matthias Buschmann Jorge Rabanal-Arabach Julia Chochollek Thomas Nierhoff |
| author_facet | Andreas Schneider Matthias Buschmann Jorge Rabanal-Arabach Julia Chochollek Thomas Nierhoff |
| author_sort | Andreas Schneider |
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The precision of yield calculation of modern design and simulation software for photovoltaic systems strongly rely, beside the accuracy of the specified module and inverter data, on the quality of the weather data. Since data from weather stations is not available for most locations world-wide this data is calculated by using modern interpolation methods. Beside this, simulation software typically uses historical weather data. In this work the mismatch of yield simulation results based on proprietary data, meaning interpolated or also called synthetical data, and data coming from a weather station in proximity to the installation is evaluated. The simulated data sets are compared to measurement data as obtained by the inverter output and hence give a profound understanding how interpolated data may influence the simulation results. The outcome shows that the quality of the yield simulation, if compared to the measurement data, is increased by a factor of up to four if on-site weather data is used as input for the simulation. The largest source of deviation is irradiation, which varies up to 10% if synthetical and measured irradiation on-site is compared. The second largest sources for simulation mismatches are power calculation and module temperature correction.
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| format | Article |
| id | doaj-art-2df9a0bd3614445a9b773143cc51b9ae |
| institution | Kabale University |
| issn | 2940-2123 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | TIB Open Publishing |
| record_format | Article |
| series | SiliconPV Conference Proceedings |
| spelling | doaj-art-2df9a0bd3614445a9b773143cc51b9ae2025-01-10T09:49:18ZengTIB Open PublishingSiliconPV Conference Proceedings2940-21232025-01-01210.52825/siliconpv.v2i.1296Improving the Accuracy of PV Yield Calculation by Exploitation of Real Weather DataAndreas Schneider0https://orcid.org/0000-0003-3574-8265Matthias Buschmann1https://orcid.org/0009-0008-0661-3701Jorge Rabanal-Arabach2https://orcid.org/0000-0002-9234-2598Julia Chochollek3https://orcid.org/0009-0008-0017-8614Thomas Nierhoff4University of Applied Sciences GelsenkirchenUniversity of Applied Sciences GelsenkirchenUniversity of Antofagasta University of Applied Sciences GelsenkirchenUniversity of Applied Sciences Gelsenkirchen The precision of yield calculation of modern design and simulation software for photovoltaic systems strongly rely, beside the accuracy of the specified module and inverter data, on the quality of the weather data. Since data from weather stations is not available for most locations world-wide this data is calculated by using modern interpolation methods. Beside this, simulation software typically uses historical weather data. In this work the mismatch of yield simulation results based on proprietary data, meaning interpolated or also called synthetical data, and data coming from a weather station in proximity to the installation is evaluated. The simulated data sets are compared to measurement data as obtained by the inverter output and hence give a profound understanding how interpolated data may influence the simulation results. The outcome shows that the quality of the yield simulation, if compared to the measurement data, is increased by a factor of up to four if on-site weather data is used as input for the simulation. The largest source of deviation is irradiation, which varies up to 10% if synthetical and measured irradiation on-site is compared. The second largest sources for simulation mismatches are power calculation and module temperature correction. https://www.tib-op.org/ojs/index.php/siliconpv/article/view/1296Photovoltaic ModuleTemperature CoefficientsField Measurement |
| spellingShingle | Andreas Schneider Matthias Buschmann Jorge Rabanal-Arabach Julia Chochollek Thomas Nierhoff Improving the Accuracy of PV Yield Calculation by Exploitation of Real Weather Data SiliconPV Conference Proceedings Photovoltaic Module Temperature Coefficients Field Measurement |
| title | Improving the Accuracy of PV Yield Calculation by Exploitation of Real Weather Data |
| title_full | Improving the Accuracy of PV Yield Calculation by Exploitation of Real Weather Data |
| title_fullStr | Improving the Accuracy of PV Yield Calculation by Exploitation of Real Weather Data |
| title_full_unstemmed | Improving the Accuracy of PV Yield Calculation by Exploitation of Real Weather Data |
| title_short | Improving the Accuracy of PV Yield Calculation by Exploitation of Real Weather Data |
| title_sort | improving the accuracy of pv yield calculation by exploitation of real weather data |
| topic | Photovoltaic Module Temperature Coefficients Field Measurement |
| url | https://www.tib-op.org/ojs/index.php/siliconpv/article/view/1296 |
| work_keys_str_mv | AT andreasschneider improvingtheaccuracyofpvyieldcalculationbyexploitationofrealweatherdata AT matthiasbuschmann improvingtheaccuracyofpvyieldcalculationbyexploitationofrealweatherdata AT jorgerabanalarabach improvingtheaccuracyofpvyieldcalculationbyexploitationofrealweatherdata AT juliachochollek improvingtheaccuracyofpvyieldcalculationbyexploitationofrealweatherdata AT thomasnierhoff improvingtheaccuracyofpvyieldcalculationbyexploitationofrealweatherdata |