Sub-hourly error analysis of decomposition-transposition model pairs for temperate climates
Sub-hourly error analysis of decomposition-transposition model pairs for temperate climates
Feasibility software for photovoltaic (PV) systems leverage decomposition-transposition model pairs to approximate Plane-of-Array (POA) irradiance. This study analyses the accuracy of 15 optical model pairs, using minute input irradiance, to assess POA predictions in a temperate setting by comparing to measured POA for both an actuator-based tracker and a 55° south-facing tilted system. Using the Mean Absolute error (MAE) of ≤5% as the benchmark, significant variations were revealed across diverse sky conditions. Model estimates showcased a broad range of errors from the measured data, from 2.67% to 51.07%, influenced by variables such as Kt and system type. For the tracking system, the evaluation showed that in clear conditions, ten model pairs maintained errors within the range. However, this success diminished under intermediate skies, with only five models remaining within range, and further reduced to two models in overcast conditions. The fixed tilt system demonstrated similar trends but with fewer mode
Solar irradiance, Temperate Climates, Sky Clearness Index, Decomposition Models, Transposition Models.
Musleh, Yazan J.K.
09defaa3-c8de-408e-884d-722f01b3843f
Herring, Willow
7f84f0fc-b343-4a6f-9dd1-03d62dbb875c
Rodríguez-Gallegos, Carlos D.
e4bdbae0-60fe-4f41-ab82-d58c6d3267e7
Boden, Stuart A.
83976b65-e90f-42d1-9a01-fe9cfc571bf8
Rahman, Tasmiat
e7432efa-2683-484d-9ec6-2f9c568d30cd
8 November 2024
Musleh, Yazan J.K.
09defaa3-c8de-408e-884d-722f01b3843f
Herring, Willow
7f84f0fc-b343-4a6f-9dd1-03d62dbb875c
Rodríguez-Gallegos, Carlos D.
e4bdbae0-60fe-4f41-ab82-d58c6d3267e7
Boden, Stuart A.
83976b65-e90f-42d1-9a01-fe9cfc571bf8
Rahman, Tasmiat
e7432efa-2683-484d-9ec6-2f9c568d30cd
Musleh, Yazan J.K., Herring, Willow, Rodríguez-Gallegos, Carlos D., Boden, Stuart A. and Rahman, Tasmiat
(2024)
Sub-hourly error analysis of decomposition-transposition model pairs for temperate climates.
IEEE Journal of Photovoltaics.
(doi:10.1109/JPHOTOV.2024.3483262).
Abstract
Feasibility software for photovoltaic (PV) systems leverage decomposition-transposition model pairs to approximate Plane-of-Array (POA) irradiance. This study analyses the accuracy of 15 optical model pairs, using minute input irradiance, to assess POA predictions in a temperate setting by comparing to measured POA for both an actuator-based tracker and a 55° south-facing tilted system. Using the Mean Absolute error (MAE) of ≤5% as the benchmark, significant variations were revealed across diverse sky conditions. Model estimates showcased a broad range of errors from the measured data, from 2.67% to 51.07%, influenced by variables such as Kt and system type. For the tracking system, the evaluation showed that in clear conditions, ten model pairs maintained errors within the range. However, this success diminished under intermediate skies, with only five models remaining within range, and further reduced to two models in overcast conditions. The fixed tilt system demonstrated similar trends but with fewer mode
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Published date: 8 November 2024
Additional Information:
For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.
Keywords:
Solar irradiance, Temperate Climates, Sky Clearness Index, Decomposition Models, Transposition Models.
Identifiers
Local EPrints ID: 495540
URI: http://eprints.soton.ac.uk/id/eprint/495540
ISSN: 2156-3381
PURE UUID: ab56e9b8-02e3-4705-b46c-bd961439452c
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Date deposited: 15 Nov 2024 17:57
Last modified: 16 Nov 2024 03:02
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Contributors
Author:
Yazan J.K. Musleh
Author:
Willow Herring
Author:
Carlos D. Rodríguez-Gallegos
Author:
Stuart A. Boden
Author:
Tasmiat Rahman
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