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Abstract

With the rising concern for global warming, reducing electricity consumption and promoting daylight utilisation for healthier living conditions are among residential buildings' top priorities. The utilisation of natural light for indoor lighting, particularly in tropical countries like Indonesia, provides health benefits and improves psychological well-being. However, the current condition shows that artificial lighting still accounts for the majority of energy consumption in residential buildings and, arguably, the failure to maximise daylighting was largely due to a limited understanding of the design of openings. This paper aims to exemplify how virtualisation can assist designers through simulation tools to better predict and analyse daylight behaviour in indoor conditions through openings, which are oftentimes neglected by designers. Despite technical challenges, such 3D simulations of daylight visualisation can help to determine the best opening strategy. Thus, this paper compares three lighting simulation tools—Dynamic Daylighting, VELUX Daylight Visualizer, and Rhinoceros Grasshopper, showing the optimal visualisation of lighting quality for tropical context. Based on the model's accuracy as well as input quality and output analysis, the simulation tools are examined for their practicality and detailed daylight 3D visualisation output. This study demonstrates how the simulations of daylight visualisation inform not only the visual image of the window design, but also crucial parameters for designing openings. The parameters enable precise quality of simulation, elaborating the optimum design for performance required in tropical context.

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References

Akil, Y. S., Mawar, S., Mangngenre, S., Amar, K., & Hasniaty. (2020). LED lighting in Indonesian residential electricity sector: A user's behavior analysis for energy saving. IOP Conference Series: Earth and Environmental Science, 575, Article 012227. https://doi.org/10.1088/1755-1315/575/1/012227

Altomonte, S., Rutherford, P., & Wilson, R. (2017).Indoor environmental quality: Lighting and acoustics. In M. A. Abraham (Ed.), Encyclopedia of sustainable technologies (pp. 221–229). Elsevier. https://doi.org/10.1016/B978-0-12-409548-9.10196-4

Badan Meteorologi, Klimatologi, dan Geofisika [Meteorological, Climatological, and Geophysical Agency]. (n.d.). Climate variability of Indonesia. https://iklim.bmkg.go.id/publikasi-klimat/ftp/brosur/LEAFLETINGGRISB.pdf

Badan Standardisasi Nasional. (2000). SNI 6197:2000: Konservasi energi sistem pencahayaan [Energy conservation in lighting system]. https://akses-sni.bsn.go.id/dokumen/2020/SNI%206197-2020/

Chang, S., Yang, P. P. J., Yamagata, Y., & Tobey, M. B. (2020). Modeling and design of smart buildings. In Y. Yamagata & P. P. J. Yang (Eds.), Urban systems design: Creating sustainable smart cities in the Internet of Things era (pp. 59–86). Elsevier. https://doi.org/10.1016/B978-0-12-816055-8.00003-8

Chirarattananon, S., Nooritanon, J., & Balaka, R. (1996). Daylighting for energy conservation in the tropics: The Lumen method and the OTTV. Energy, 21(6), 505–510. https://doi.org/10.1016/0360-5442(95)00108-5

Christakou, E., & Silva, N. (2008). A comparison of software for architectural simulation of natural light. In T. Sobh (Ed.), Advances in computer and information sciences and engineering (pp. 136–141). Springer. https://doi.org/10.1007/978-1-4020-8741-7_25

Edmonds, I. R., & Greenup, P. J. (2002). Daylighting in the tropics. Solar Energy, 73(2), 111–121. https://doi.org/10.1016/S0038-092X(02)00039-7

Foldbjerg, P., Asmussen, T. F., Roy, N., Sahlin, P., Ålenius, L., Jensen, H. W., & Jensen, C. (2022). Daylight visualizer and energy & indoor climate visualizer, a suite of simulation tools for residential buildings. First Building Simulation and Optimization Conference, 205–212. https://publications.ibpsa.org/conference/paper/?id=bso2012_3B3 

Kubba, S. (2012). Indoor environmental quality.In S. Kubba (Ed.), Handbook of green building design and construction (pp. 313–360). Butterworth-Heinemann. https://doi.org/10.1016/B978-0-12-385128-4.00007-X

Mardaljevic, J. (2021). The implementation of natural lighting for human health from a planning perspective. Lighting Research & Technology, 53(5), 489–513. https://doi.org/10.1177/14771535211022145

Marsh, A., & Stravoravdis, S. (2017). Towards dynamic real-time daylight simulation. Proceedings of thePassive and Low Energy Architecture Conference (PLEA2017), 2, 3293–3300.

Marsh, A. (2019, October 15). Dynamic daylighting. AndrewMarsh.com. https://andrewmarsh.com/software/daylight-box-web/ 

McNeil, M. A., Karali, N., & Letschert, V. (2019). Forecasting Indonesia's electricity load through 2030 and peak demand reductions from appliance and lighting efficiency. Energy for Sustainable Development, 49,65–77. https://doi.org/10.1016/j.esd.2019.01.001

Müeller, H. F. O. (2013). Daylighting. In A. Sayigh (Ed.), Sustainability, energy and architecture (pp. 227–255). Academic Press. https://doi.org/10.1016/B978-0-12-397269-9.00009-8

Rhino. (n.d.). Grasshopper - New in Rhino 6. Retrieved February 14, 2022, from https://www.rhino3d.com/6/new/grasshopper/ 

Ruck, N., Aschehoug, Ø., Aydinli, S., Christoffersen, J., Courret, G., Edmons, I., Jakobiak, R., Kischkoweit-Lopin, M., Klinger, M., Lee, E., Michel, L., Scartezzini, J. -L., & Selkowitz, S. (2000). Daylight in Buildings: A source book on daylighting systems and components (Report No. LBNL-47493). Lawrence Berkeley National Laboratory. https://facades.lbl.gov/daylight-buildings-source-book-daylighting-systems

Sari, D. P., & Laksana, P. J. B. (2020). Optimization building performance in early design stage using integrated dynamic model. Modul, 20(2), 151–156. https://doi.org/10.14710/mdl.20.2.2020.151-156

Sari, D. P., Sudirman, M., & Chiou, Y. S. (2024). Modernity in Javanese tradition: Adapting vernacular design and local culture to Indonesian urban living. Architectural Science Review, 67(2), 105–119. https://doi.org/10.1080/00038628.2022.2136131

Surahman, U., Maknun, J., & Krisnanto, E. (2017). Survey on household energy consumption of public apartments in Bandung City, Indonesia. IPTEK Journal of Proceedings Series, 3, 181–188.

Toroxel, J. L., & Silva, S. M. (2024). A review of passive solar heating and cooling technologies based on bioclimatic and vernacular architecture. Energies, 17(5), Article 1006. https://doi.org/10.3390/en17051006

VELUX BIM & Building Visualization Tools. (2022, February 1). VELUX daylight visualizer & daylight simulation tool for architects and building professionals [Video]. YouTube. https://www.youtube.com/watch?v=A23crXNpyc8 

Ward, G. J., Bueno, B., Geisler-Moroder, D., Grobe, L. O., Jonsson, J. C., Lee, E. S., Wang, T., & Wilson, H. R. (2022). Daylight simulation workflows incorporating measured bidirectional scattering distribution functions. Energy and Buildings, 259, Article 111890. https://doi.org/10.1016/j.enbuild.2022.111890

Wong, I. L. (2017). A review of daylighting design and implementation in buildings. Renewable and Sustainable Energy Reviews, 74, 959–968. https://doi.org/10.1016/j.rser.2017.03.061

Author Biography

Dany Perwita Sari
Dany Perwita Sari is a senior researcher at the Research Organization for Energy and Manufacture of the National Agency for Research and Innovation (BRIN), Indonesia. She holds a PhD in architectural design. She specialises in traditional houses, comfort and energy efficiency, CFD analysis, wind tunnel experiments, and climate change adaptation.

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