2022
DOI: 10.1080/19401493.2022.2125582
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Validation of spectral simulation tools in the context of ipRGC-influenced light responses of building occupants

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Cited by 10 publications
(6 citation statements)
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“…78 The authors noted a reproducibility error in ALFA , unresolved at the time of their study. It was also shown that under clear sky conditions ALFA tends to overestimate the irradiance, 99 even though the spectral characteristics are well represented. 74 For electric light simulations, the errors in spectral irradiance were larger than the ±20% range, with ALFA being more accurate due to the higher spectral resolution.…”
Section: Resultsmentioning
confidence: 99%
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“…78 The authors noted a reproducibility error in ALFA , unresolved at the time of their study. It was also shown that under clear sky conditions ALFA tends to overestimate the irradiance, 99 even though the spectral characteristics are well represented. 74 For electric light simulations, the errors in spectral irradiance were larger than the ±20% range, with ALFA being more accurate due to the higher spectral resolution.…”
Section: Resultsmentioning
confidence: 99%
“…79 However, when the spectral irradiance was used to calculate relevant NIF metrics, these differences vanished and most errors of both tools were within the ±20% range. 99…”
Section: Resultsmentioning
confidence: 99%
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“…However, Lark, with its 9-channel approach, offers advantages over ALFA in this study due to its capacity to benefit from the Grasshopper/Rhino visual language programme environment, enabling flexibility and versatility in options. Notably, a study by Pierson et al [ 56 ] demonstrated that Lark, although slower than ALFA, produces more accurate results under daylight conditions. The validation of Lark has also undergone examination, as documented in previous studies [ [57] , [58] , [59] , [60] ].…”
Section: Theoretical Backgroundmentioning
confidence: 99%