Lighting in Buildings
1. Introduction to This Special Issue
2. Integrative Lighting
3. Indoor Lighting
4. Daylighting
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Bellia, L.; Błaszczak, U.; Diglio, F.; Fragliasso, F. Light-environment interactions and integrative lighting design: Connecting visual, non-visual and energy requirements in a case study experiment. Build. Environ. 2024, 253, 111323. [Google Scholar] [CrossRef]
- De Almeida, A.; Santos, B.; Paolo, B.; Quicheron, M. Quicheron, Solid state lighting review—Potential and challenges in Europe. Renew. Sustain. Energy Rev. 2014, 34, 30–48. [Google Scholar] [CrossRef]
- Peña-García, A. Towards Total Lighting: Expanding the Frontiers of Sustainable Development. Sustainability 2019, 11, 6943. [Google Scholar] [CrossRef]
- Samiou, A.I.; Doulos, L.T.; Zerefos, S. Daylighting and artificial lighting criteria that promote performance and optical comfort in preschool classrooms. Energy Build. 2022, 258, 111819. [Google Scholar] [CrossRef]
- Bellia, L.; Fragliasso, F.; Stefanizzi, E. Why are daylight-linked controls (DLCs) not so spread? A literature review. Build. Environ. 2016, 106, 301–312. [Google Scholar] [CrossRef]
- Doulos, L.; Tsangrassoulis, A.; Topalis, F. Multi-criteria decision analysis to select the optimum position and proper field of view of a photosensor. Energy Convers. Manag. 2014, 86, 1069–1077. [Google Scholar] [CrossRef]
- Tsangrassoulis, A.; Doulos, L.; Mylonas, A. Simulating the Impact of Daytime Calibration in the Behavior of a Closed Loop Proportional Lighting Control System. Energies 2021, 14, 7056. [Google Scholar] [CrossRef]
- Verso, V.R.L.; Pellegrino, A. Energy Saving Generated through Automatic Lighting Control Systems according to the Estimation Method of the Standard EN 15193-1. J. Daylighting 2019, 6, 131–147. [Google Scholar] [CrossRef]
- Mistrick, R.; Casey, C.; Chen, L.; Subramaniam, S. Computer Modeling of Daylight-Integrated Photocontrol of Electric Lighting Systems. Buildings 2015, 5, 449–466. [Google Scholar] [CrossRef]
- Hu, W.; Davis, W. Dimming curve based on the detectability and acceptability of illuminance differences. Opt. Express 2016, 24, A885–A897. [Google Scholar] [CrossRef]
- Labiris, G.; Panagiotopoulou, E.-K.; Taliantzis, S.; Perente, A.; Delibasis, K.; Doulos, L.T. Lighting Standards Revisited: Introduction of a Mathematical Model for the Assessment of the Impact of Illuminance on Visual Acuity. Clin. Ophthalmol. 2021, 15, 4553–4564. [Google Scholar] [CrossRef]
- Kore, R.; Durmus, D. Curve-Fitting Correction Method for the Nonlinear Dimming Response of Tunable SSL Devices. Technologies 2023, 11, 162. [Google Scholar] [CrossRef]
- Song, W.; Durmus, D. Evaluating energy efficiency and colorimetric quality of electric light sources using alternative spectral sensitivity functions. Buildings 2022, 12, 2220. [Google Scholar] [CrossRef]
- Doulos, L.T.; Tsangrassoulis, A.; Madias, E.-N.; Niavis, S.; Kontadakis, A.; Kontaxis, P.A.; Kontargyri, V.T.; Skalkou, K.; Topalis, F.; Manolis, E.; et al. Examining the Impact of Daylighting and the Corresponding Lighting Controls to the Users of Office Buildings. Energies 2020, 13, 4024. [Google Scholar] [CrossRef]
- Mavridou, T.; Nanos, N.; Doulos, L. Modular Construction of Industrial Buildings and Lean Thinking—Identifying the Role of Daylight through a Case Study. Sustainability 2023, 15, 13354. [Google Scholar] [CrossRef]
- Mesloub, A.; Alnaim, M.M.; Albaqawy, G.; Alsolami, B.M.; Mayhoub, M.; Tsangrassoulis, A.; Doulos, L.T. The visual comfort, economic feasibility, and overall energy consumption of tubular daylighting device system configurations in deep plan office buildings in Saudi Arabia. J. Build. Eng. 2023, 68, 106100. [Google Scholar] [CrossRef]
- Boyce, P. Exploring human-centric lighting. Lighting Res. Technol. 2016, 48, 101. [Google Scholar] [CrossRef]
- Madias, E.-N.D.; Christodoulou, K.; Androvitsaneas, V.P.; Skalkou, A.; Sotiropoulou, S.; Zervas, E.; Doulos, L.T. Τhe effect of artificial lighting on both biophilic and human-centric design. J. Build. Eng. 2023, 76, 107292. [Google Scholar] [CrossRef]
- Durmus, D.; Hu, W.; Davis, W. Lighting application efficacy: A framework for holistically measuring lighting use in buildings. Front. Built Environ. 2022, 8, 986961. [Google Scholar] [CrossRef]
- Mahmoudzadeh, P.; Hu, W.; Davis, W.; Durmus, D. Spatial efficiency: An outset of lighting application efficacy for indoor lighting. Build. Environ. 2024, 255, 111409. [Google Scholar] [CrossRef]
- Pallis, P.; Braimakis, K.; Roumpedakis, T.C.; Varvagiannis, E.; Karellas, S.; Doulos, L.; Katsaros, M.; Vourliotis, P. Energy and economic performance assessment of efficiency measures in zero-energy office buildings in Greece. Build. Environ. 2021, 206, 108378. [Google Scholar] [CrossRef]
- Jalali, M.S.; Jones, J.R.; Tural, E.; Gibbons, R.B. Human-Centric Lighting Design: A Framework for Supporting Healthy Circadian Rhythm Grounded in Established Knowledge in Interior Spaces. Buildings 2024, 14, 1125. [Google Scholar] [CrossRef]
- Wei, Y.; Zhang, Y.; Wang, Y.; Liu, C. A Study of the Emotional Impact of Interior Lighting Color in Rural Bed and Breakfast Space Design. Buildings 2023, 13, 2537. [Google Scholar] [CrossRef]
- Wang, T.; Shao, R.; Hao, L. Effects of Different Nocturnal Lighting Stimuli on Melatonin, Sleep and Cognitive Performance of Workers in Confined Spaces. Buildings 2023, 13, 2112. [Google Scholar] [CrossRef]
- Wu, Y.; Wang, L.; Yu, J.; Chen, P.; Wang, A. Improving the Restorative Potential of Living Environments by Optimizing the Spatial Luminance Distribution. Buildings 2023, 13, 1708. [Google Scholar] [CrossRef]
- Bishop, D.; Chase, J.G. Development of a Low-Cost Luminance Imaging Device with Minimal Equipment Calibration Procedures for Absolute and Relative Luminance. Buildings 2023, 13, 1266. [Google Scholar] [CrossRef]
- Wang, S.; Zhao, J.; Wang, L.; Hu, W.; Yan, F. A Mathematical Model for the Action Spectrum of Steady-State Pupil Size in Photopic Vision with Insight into Healthful Lighting. Buildings 2023, 13, 781. [Google Scholar] [CrossRef]
- Collier, J.M.; Wilkerson, A.; Durmus, D.; Rodriguez-Feo Bermudez, E. Studying Response to Light in Offices: A Literature Review and Pilot Study. Buildings 2023, 13, 471. [Google Scholar] [CrossRef]
- Sawyer, A.O.; Navvab, M.; Weissman, D.; Ji, G. Facade Photometry: Linking Annual Daylight Performance to Facade Design. Buildings 2022, 12, 1556. [Google Scholar] [CrossRef]
- Joyce, D.S.; Feigl, B.; Zele, A.J. The effects of short-term light adaptation on the human post-illumination pupil response. Investig. Ophthalmol. Vis. Sci. 2016, 57, 5672–5680. [Google Scholar] [CrossRef]
- Barrionuevo, P.A.; Issolio, L.A.; Tripolone, C. Photoreceptor contributions to the human pupil light reflex. J. Photochem. Photobiol. 2023, 15, 100178. [Google Scholar] [CrossRef]
- McDougal, D.H.; Gamlin, P.D. The influence of intrinsically-photosensitive retinal ganglion cells on the spectral sensitivity and response dynamics of the human pupillary light reflex. Vis. Res. 2010, 50, 72–87. [Google Scholar] [CrossRef] [PubMed]
- Gooley, J.J.; Mien, I.H.; Hilaire, M.A.S.; Yeo, S.C.; Chua, E.C.P.; Van Reen, E.; Hanley, C.J.; Hull, J.T.; Czeisler, C.A.; Lockley, S.W. Melanopsin and Rod-Cone Photoreceptors Play Different Roles in Mediating Pupillary Light Responses during Exposure to Continuous Light in Humans. J. Neurosci. Off. J. Soc. Neurosci. 2012, 32, 14242–14253. [Google Scholar] [CrossRef]
- Park, J.C.; Moura, A.L.; Raza, A.S.; Rhee, D.W.; Kardon, R.H.; Hood, D.C. Toward a Clinical Protocol for Assessing Rod, Cone, and Melanopsin Contributions to the Human Pupil Response. Investig. Opthalmology Vis. Sci. 2011, 52, 6624–6635. [Google Scholar] [CrossRef] [PubMed]
- Gamlin, P.D.; McDougal, D.H.; Pokorny, J.; Smith, V.C.; Yau, K.-W.; Dacey, D.M. Human and macaque pupil responses driven by melanopsin-containing retinal ganglion cells. Vis. Res. 2007, 47, 946–954. [Google Scholar] [CrossRef]
- Spitschan, M. Photoreceptor inputs to pupil control. J. Vis. 2019, 19, 5. [Google Scholar] [CrossRef]
- Leech, J.A.; Burnett, R.; Nelson, W.; Aaron, S.D.; Raizenne, M. Outdoor air pollution epidemiologic studies. Am. J. Respir. Crit. Care Med. 2000, 161, A308. [Google Scholar]
- Wang, Y.; Durmus, D. Image quality metrics, personality traits, and subjective evaluation of indoor environment images. Buildings 2022, 12, 2086. [Google Scholar] [CrossRef]
- Botero-Valencia, J.S.; Valencia-Aguirre, J.; Durmus, D.; Davis, W. Multi-channel low-cost light spectrum measurement using a multilayer perceptron. Energy Build. 2019, 199, 579–587. [Google Scholar] [CrossRef]
- Myland, P.; Babilon, S.; Hegemann, T.; Klir, S.; Khanh, T.Q. Reconstruction of spectral irradiance in a real application with a multi-channel spectral sensor using convolutional neural networks. Opt. Express 2023, 31, 25724–25746. [Google Scholar] [CrossRef]
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Durmus, D.; Hu, W.; Doulos, L.T. Lighting in Buildings. Buildings 2024, 14, 2590. https://doi.org/10.3390/buildings14082590
Durmus D, Hu W, Doulos LT. Lighting in Buildings. Buildings. 2024; 14(8):2590. https://doi.org/10.3390/buildings14082590
Chicago/Turabian StyleDurmus, Dorukalp, Wenye Hu, and Lambros T. Doulos. 2024. "Lighting in Buildings" Buildings 14, no. 8: 2590. https://doi.org/10.3390/buildings14082590