Estimation of the Uncertainty due to Each Step of Simulating the Photovoltaic Conversion under Real Operating Conditions
The simulation of photovoltaic installations is a major issue for their sizing, their smart grid operation, and their fault detection and diagnosis. In this article, we study in detail every step of the simulation chain, either from the global horizontal irradiance and the ambient temperature (i.e.,...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2021/4228658 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841524303869247488 |
|---|---|
| author | Anne Migan Dubois Jordi Badosa Vincent Bourdin Moira I. Torres Aguilar Yvan Bonnassieux |
| author_facet | Anne Migan Dubois Jordi Badosa Vincent Bourdin Moira I. Torres Aguilar Yvan Bonnassieux |
| author_sort | Anne Migan Dubois |
| collection | DOAJ |
| description | The simulation of photovoltaic installations is a major issue for their sizing, their smart grid operation, and their fault detection and diagnosis. In this article, we study in detail every step of the simulation chain, either from the global horizontal irradiance and the ambient temperature (i.e., 4 steps of simulation) or considering the global in-plane irradiance and the module operating temperature (i.e., 1 step of simulation). The average quality estimation of the models is made through the calculations of average annual error between estimations and measurements, from 2016 to 2020. We have shown that the most uncertain step is the conversion of the global irradiance in its diffuse and direct components (17.2%, 2 models tested). If the model goes up to the in-plane irradiance, the average annual error decreases to 5.3% (6 models tested). The photovoltaic module temperature calculation induces an error of less than 2°C (4 models tested with 2 configurations). Meanwhile, the photoelectrical conversion shows a 3.5% error, similar to the measurement uncertainties, considering as input, the modules temperature, and the in-plane irradiance. If the simulation goes from the global irradiance and the ambient temperature measured locally, the estimation leads to a 6.7% average annual error. If the local measurements are not available, we can use the closest meteorological station’s records (13 for our study), and the error becomes 12.1%. Finally, we can also use the satellite images that lead to a 15.2% error, for average per year. The impact of available input shows that modeling the DC photovoltaic production, using global horizontal irradiance and ambient temperature, gives rise to an error of 6.6% for local measurements, 12.1% for weather station measurements, and 15.2% for satellite images estimations. This article thus draws up a review of the existing models, allowing to calculate the DC production of a photovoltaic module, depending on the atmospheric conditions, and highlights the most precise or most critical steps, considering in situ and weather station ground-based measurements, and also estimation from satellite images. |
| format | Article |
| id | doaj-art-cfa759b5d9a54271aca6d39780a5fb24 |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-cfa759b5d9a54271aca6d39780a5fb242025-02-03T07:23:26ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2021-01-01202110.1155/2021/42286584228658Estimation of the Uncertainty due to Each Step of Simulating the Photovoltaic Conversion under Real Operating ConditionsAnne Migan Dubois0Jordi Badosa1Vincent Bourdin2Moira I. Torres Aguilar3Yvan Bonnassieux4Université Paris-Saclay, CentraleSupélec, CNRS, Laboratoire Génie Électrique et Électronique de Paris (GeePs), 91192 Gif-Sur-Yvette, FranceÉcole Polytechnique, IPSL, Université Paris-Saclay, ENS, Sorbonne Université, CNRS, Laboratoire de Météorologie Dynamique (LMD), 91128 Palaiseau, FranceCNRS, Laboratoire Interdisciplinaire Des Sciences du Numérique (LISN), 91405 Orsay Cedex, FranceÉcole Polytechnique, IPSL, Université Paris-Saclay, ENS, Sorbonne Université, CNRS, Laboratoire de Météorologie Dynamique (LMD), 91128 Palaiseau, FranceCNRS, École Polytechnique, Laboratoire de Physique et Des Couches Minces (LPICM), Route de Saclay, 91128 Palaiseau, FranceThe simulation of photovoltaic installations is a major issue for their sizing, their smart grid operation, and their fault detection and diagnosis. In this article, we study in detail every step of the simulation chain, either from the global horizontal irradiance and the ambient temperature (i.e., 4 steps of simulation) or considering the global in-plane irradiance and the module operating temperature (i.e., 1 step of simulation). The average quality estimation of the models is made through the calculations of average annual error between estimations and measurements, from 2016 to 2020. We have shown that the most uncertain step is the conversion of the global irradiance in its diffuse and direct components (17.2%, 2 models tested). If the model goes up to the in-plane irradiance, the average annual error decreases to 5.3% (6 models tested). The photovoltaic module temperature calculation induces an error of less than 2°C (4 models tested with 2 configurations). Meanwhile, the photoelectrical conversion shows a 3.5% error, similar to the measurement uncertainties, considering as input, the modules temperature, and the in-plane irradiance. If the simulation goes from the global irradiance and the ambient temperature measured locally, the estimation leads to a 6.7% average annual error. If the local measurements are not available, we can use the closest meteorological station’s records (13 for our study), and the error becomes 12.1%. Finally, we can also use the satellite images that lead to a 15.2% error, for average per year. The impact of available input shows that modeling the DC photovoltaic production, using global horizontal irradiance and ambient temperature, gives rise to an error of 6.6% for local measurements, 12.1% for weather station measurements, and 15.2% for satellite images estimations. This article thus draws up a review of the existing models, allowing to calculate the DC production of a photovoltaic module, depending on the atmospheric conditions, and highlights the most precise or most critical steps, considering in situ and weather station ground-based measurements, and also estimation from satellite images.http://dx.doi.org/10.1155/2021/4228658 |
| spellingShingle | Anne Migan Dubois Jordi Badosa Vincent Bourdin Moira I. Torres Aguilar Yvan Bonnassieux Estimation of the Uncertainty due to Each Step of Simulating the Photovoltaic Conversion under Real Operating Conditions International Journal of Photoenergy |
| title | Estimation of the Uncertainty due to Each Step of Simulating the Photovoltaic Conversion under Real Operating Conditions |
| title_full | Estimation of the Uncertainty due to Each Step of Simulating the Photovoltaic Conversion under Real Operating Conditions |
| title_fullStr | Estimation of the Uncertainty due to Each Step of Simulating the Photovoltaic Conversion under Real Operating Conditions |
| title_full_unstemmed | Estimation of the Uncertainty due to Each Step of Simulating the Photovoltaic Conversion under Real Operating Conditions |
| title_short | Estimation of the Uncertainty due to Each Step of Simulating the Photovoltaic Conversion under Real Operating Conditions |
| title_sort | estimation of the uncertainty due to each step of simulating the photovoltaic conversion under real operating conditions |
| url | http://dx.doi.org/10.1155/2021/4228658 |
| work_keys_str_mv | AT annemigandubois estimationoftheuncertaintyduetoeachstepofsimulatingthephotovoltaicconversionunderrealoperatingconditions AT jordibadosa estimationoftheuncertaintyduetoeachstepofsimulatingthephotovoltaicconversionunderrealoperatingconditions AT vincentbourdin estimationoftheuncertaintyduetoeachstepofsimulatingthephotovoltaicconversionunderrealoperatingconditions AT moiraitorresaguilar estimationoftheuncertaintyduetoeachstepofsimulatingthephotovoltaicconversionunderrealoperatingconditions AT yvanbonnassieux estimationoftheuncertaintyduetoeachstepofsimulatingthephotovoltaicconversionunderrealoperatingconditions |