The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The simulation of annual daylight illuminance distributions — a state-of-the-art comparison of six RADIANCE-based methods
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Citations
Cites
Modeling daylight availability and irradiance components from direct and global irradiance
Perez, R., Ineichen, P., Seals, R., Michalsky, J., & Stewart, R. (1990) · Solar Energy · doi:10.1016/0038-092x(90)90055-h · Cited by 1,999
All-weather model for sky luminance distribution—Preliminary configuration and validation
Perez, R., Seals, R., & Michalsky, J. (1993) · Solar Energy · doi:10.1016/0038-092x(93)90017-i · Cited by 841
Tregenza, P. R., & Waters, I. M. (1983) · Lighting Research & Technology · doi:10.1177/096032718301500201 · Cited by 229
The use of artificial lighting in relation to daylight levels and occupancy
Hunt, D. R. G. (1979) · Building and Environment · doi:10.1016/0360-1323(79)90025-8 · Cited by 225
Theoretical and experimental analysis of daylight performance for various shading systems
Tsangrassoulis, A., Santamouris, M., & Asimakopoulos, D. N. (1996) · Energy and Buildings · doi:10.1016/s0378-7788(96)00981-4 · Cited by 34
Predicting annual lighting use in daylit buildings
Littlefair, P. J. (1990) · Building and Environment · doi:10.1016/0360-1323(90)90040-x · Cited by 30
Cited by
Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds
Reinhart, C. F., & Walkenhorst, O. (2001) · Energy and Buildings · doi:10.1016/s0378-7788(01)00058-5 · Cited by 730
Self-citationA review of modelling approaches and tools for the simulation of district-scale energy systems
Allegrini, J., Orehounig, K., Mavromatidis, G., Ruesch, F., Dorer, V., & Evins, R. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.07.123 · Cited by 521
The urban canyon and building energy use: Urban density versus daylight and passive solar gains
Strømann-Andersen, J., & Sattrup, P. A. (2011) · Energy and Buildings · doi:10.1016/j.enbuild.2011.04.007 · Cited by 368
A framework for predicting the non-visual effects of daylight – Part I: photobiology- based model
Andersen, M., Mardaljevic, J., & Lockley, S. (2012) · Lighting Research & Technology · doi:10.1177/1477153511435961 · Cited by 177
Metadata
- Authors
- Reinhart, C. F., & Herkel, S.
- Venue
- Energy and Buildings
- Publisher
- Elsevier BV
- Published
- 2000-07
- Volume
- 32
- Issue
- 2
- Pages
- 167-187
- ISSN
- 0378-7788 (ISSN-L)
- OpenAlex
- W2063527801
- Cited by
- 301
- References
- 6
- FWCI
- 18.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The simulation of annual daylight illuminance distributions — a state-of-the-art comparison of six RADIANCE-based methods. https://app.cochat.ai/papers/10.1016/s0378-7788(00)00042-6
- The paper
- Reinhart, C. F., & Herkel, S. (2000). The simulation of annual daylight illuminance distributions — a state-of-the-art comparison of six RADIANCE-based methods. Energy and Buildings. https://doi.org/10.1016/s0378-7788(00)00042-6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
