Numerical Modeling and Analysis of Shadow Flicker Using Solar Path Functions for Enhanced Predictive Accuracy
Shadow flicker caused by wind turbine blades passing through sunlight can significantly affect nearby residential buildings, raising environmental and regulatory concerns in wind farm development. The accurate assessment of shadow flicker exposure is critical for compliance and minimizing community...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/2/352 |
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| author | Nicolai Radke Patrick E. M. De Smet Erika Ábrahám |
| author_facet | Nicolai Radke Patrick E. M. De Smet Erika Ábrahám |
| author_sort | Nicolai Radke |
| collection | DOAJ |
| description | Shadow flicker caused by wind turbine blades passing through sunlight can significantly affect nearby residential buildings, raising environmental and regulatory concerns in wind farm development. The accurate assessment of shadow flicker exposure is critical for compliance and minimizing community impacts. We present a novel method for accurately determining the exposure of shadow flicker from wind turbines on residential buildings, addressing a key regulatory concern in wind farm planning. Current simulation techniques rely on discrete sampling of solar positions, resulting in potential inaccuracies tied to sampling resolution. Our proposed approach models shadow flicker as a <i>continuous</i> function and applies numerical minimization and numerical root finding to compute the duration of exposure. Our evaluation proves that this method achieves a superior balance between precision and computational efficiency, significantly improving existing techniques. |
| format | Article |
| id | doaj-art-e522973ab3784cbebc678df111995de8 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-e522973ab3784cbebc678df111995de82025-01-24T13:31:10ZengMDPI AGEnergies1996-10732025-01-0118235210.3390/en18020352Numerical Modeling and Analysis of Shadow Flicker Using Solar Path Functions for Enhanced Predictive AccuracyNicolai Radke0Patrick E. M. De Smet1Erika Ábrahám2Theory of Hybrid Systems Research Group, RWTH Aachen University, 52062 Aachen, GermanyFaculty of Compupter Science, University of Vienna, 1010 Vienna, AustriaTheory of Hybrid Systems Research Group, RWTH Aachen University, 52062 Aachen, GermanyShadow flicker caused by wind turbine blades passing through sunlight can significantly affect nearby residential buildings, raising environmental and regulatory concerns in wind farm development. The accurate assessment of shadow flicker exposure is critical for compliance and minimizing community impacts. We present a novel method for accurately determining the exposure of shadow flicker from wind turbines on residential buildings, addressing a key regulatory concern in wind farm planning. Current simulation techniques rely on discrete sampling of solar positions, resulting in potential inaccuracies tied to sampling resolution. Our proposed approach models shadow flicker as a <i>continuous</i> function and applies numerical minimization and numerical root finding to compute the duration of exposure. Our evaluation proves that this method achieves a superior balance between precision and computational efficiency, significantly improving existing techniques.https://www.mdpi.com/1996-1073/18/2/352renewable energywind farm planningshadow flickerexposure modelingsolar position modelingnumerical analysis |
| spellingShingle | Nicolai Radke Patrick E. M. De Smet Erika Ábrahám Numerical Modeling and Analysis of Shadow Flicker Using Solar Path Functions for Enhanced Predictive Accuracy Energies renewable energy wind farm planning shadow flicker exposure modeling solar position modeling numerical analysis |
| title | Numerical Modeling and Analysis of Shadow Flicker Using Solar Path Functions for Enhanced Predictive Accuracy |
| title_full | Numerical Modeling and Analysis of Shadow Flicker Using Solar Path Functions for Enhanced Predictive Accuracy |
| title_fullStr | Numerical Modeling and Analysis of Shadow Flicker Using Solar Path Functions for Enhanced Predictive Accuracy |
| title_full_unstemmed | Numerical Modeling and Analysis of Shadow Flicker Using Solar Path Functions for Enhanced Predictive Accuracy |
| title_short | Numerical Modeling and Analysis of Shadow Flicker Using Solar Path Functions for Enhanced Predictive Accuracy |
| title_sort | numerical modeling and analysis of shadow flicker using solar path functions for enhanced predictive accuracy |
| topic | renewable energy wind farm planning shadow flicker exposure modeling solar position modeling numerical analysis |
| url | https://www.mdpi.com/1996-1073/18/2/352 |
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