Methodology to modify and adapt the standardised spectral power distributions for daylight to account for geographical, seasonal and diurnal variations for practical applications

In recent years, the spectral properties of solar radiation and daylight have become increasingly important in lighting design and research, and various approaches to implement these have been applied. This paper proposes to modify and adapt the CIE reconstruction method, a procedure developed in the early 1960s to define standardised spectral power distributions (SPDs) of daylight, for this purpose. The CIE D Illuminants resulting from the reconstruction procedure are widely used for standardisation purposes but are based on a smaller number of measurements and do not consider geographical, seasonal and diurnal variations. In order to be able to use the CIE reconstruction method specifically in daylight planning, research and application, a technical committee of the CIE has launched a worldwide measurement campaign to collect spectral daylight measurements. The aim of the committee is to formulate a customised reconstruction method that more accurately reflects the local SPDs of daylight. This paper contributes to the discourse on the improvement of daylight estimation methods and emphasises the importance of accurate daylight data in various scientific and practical contexts.

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Publication Details

Journal
Lighting Research & Technology
Published
2025-04-15
DOI
https://doi.org/10.1177/14771535251322386
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.00

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article

Methodology to modify and adapt the standardised spectral power distributions for daylight to account for geographical, seasonal and diurnal variations for practical applications

Paul O’Mahoney, Anders Thorseth, Javier Hernández‐Andrés, Urszula J. Błaszczak et al.
Lighting Research & Technology
Impact of Light on Environment and Health
article

Methodology to modify and adapt the standardised spectral power distributions for daylight to account for geographical, seasonal and diurnal variations for practical applications

Paul O’Mahoney, Anders Thorseth, Javier Hernández‐Andrés, Urszula J. Błaszczak, Dominique Dumortier, Marshal Maskarenj, Martine Knoop, Priji Balakrishnan, Mehlika Inanici, Frederic Rudawski, Aicha Diakite, Clotilde Pierson, Paul Kenny
article en

Abstract

In recent years, the spectral properties of solar radiation and daylight have become increasingly important in lighting design and research, and various approaches to implement these have been applied. This paper proposes to modify and adapt the CIE reconstruction method, a procedure developed in the early 1960s to define standardised spectral power distributions (SPDs) of daylight, for this purpose. The CIE D Illuminants resulting from the reconstruction procedure are widely used for standardisation purposes but are based on a smaller number of measurements and do not consider geographical, seasonal and diurnal variations. In order to be able to use the CIE reconstruction method specifically in daylight planning, research and application, a technical committee of the CIE has launched a worldwide measurement campaign to collect spectral daylight measurements. The aim of the committee is to formulate a customised reconstruction method that more accurately reflects the local SPDs of daylight. This paper contributes to the discourse on the improvement of daylight estimation methods and emphasises the importance of accurate daylight data in various scientific and practical contexts.

Lighting Research & Technology
University College Dublin (IE), Oregon State University (US), Bialystok University of Technology (PL), Universidad de Granada (ES), University of Washington (US), Laboratoire de Tribologie et Dynamique des Systèmes (FR), École Nationale des Travaux Publics de l'État (FR), UK Health Security Agency (GB), Technische Universität Berlin (DE), UCLouvain (BE), Technical University of Denmark (DK)
Fonds De La Recherche Scientifique - FNRS, Politechnika Bialostocka
Openalex Percentile: Top 92%
Impact of Light on Environment and Health
DOISourceOpenAlex
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