Daylight Optimization to Leverage the Reduction in Energy Demand for Artificial Lighting in Indoor Sports Arena

Sani Muhammad ALI; Abba Wada ABDULLAHI

doi:10.5281/zenodo.12687118

Authors

Sani Muhammad ALI
Abba Wada ABDULLAHI

DOI:

https://doi.org/10.5281/zenodo.12687118

Keywords:

daylight, illuminance, uniformity index, indoor sports hall

Abstract

Exploratory surveys on existing indoor sports halls reveal that their designs mostly neglect daylight to rely totally or partially on artificial light, forfeiting all the benefits of natural light. Natural lighting in indoor spaces has proven to be of several immense benefits to users and owners of these spaces. Several factors have been identified that affect the quality and quantity of daylight of an enclosed space, the most significant of them all is a window to floor ratio. The study is aimed at optimizing effective daylight in indoor sports halls by evaluating daylighting provision in some existing indoor sports halls in Nigeria, taking into consideration illuminance levels and uniformity indices. Descriptive analysis was carried out, which formed the basis upon which a Climatic Based Daylight Model was developed. Three distinct daylight schemes were modelled and analyzed, and the first scheme (combination of sidelight and top-light) has successfully and optimally harnessed daylight in an indoor sport hall. The scheme attained the minimum requirements for illuminance, vertical illuminance and uniformity index, which can be replicated in environments of similar climate.

References

Akande, A., Costa, A. C., Mateu, J., & Henriques, R. (2017). Geospatial Analysis of Extreme Weather Events in Nigeria (1985-2015) Using Self-Organizing Maps. Advances in Meteorology, https://doi.org/10.1155/2017/8576150

Alhazzaa, K. (2021). Contribution of a Passive Dynamic Façade to Energy Reduction , Daylight , and View in a Hot , Arid Climate.

Ali, S. M. (2021). Measured and perceived visual qualities of learning environments in Bayero University, Kano Nigeria. Savanna, A journal of the Environmental and Social Sciences, Vol. 26, No. 1, 173 - 185.

Alsalih, H. A. N. (2017). Methodology for Daylight Optimization towards Net Zero Buildings in Hot Arid Climate Case Studies the Visitor Center at the Organ Pipe Cactus National Monuments, Ajo, Arizona.

Astrich, B., Morris, A., & Walters, B. (2009). Daylight Performance in Mid / Large Buildings.

Bell J, Burt W. Designing buildings for daylight. Report 288. Bracknell: IHS BRE Press; 1995.

Brembilla, E., & Mardaljevic, J. (2019). Climate-Based Daylight Modelling for compliance verification: Benchmarking multiple state-of-the-art methods. Building and Environment, 158 (February), 151–164. https://doi.org/10.1016/j.buildenv.2019.04.051

Brembilla, E., Mardaljevic, J., & Anselmo, F. (2015). The effect of the analysis grid settings on daylight simulations with Climate-Based Daylight Modelling. Proceedings of 28th CIE Session 2015, June 2015, 1–2.

Costanzo, V., Evola, G., Marletta, L., & Nascone, F. P. (2018). Application of climate based daylight modelling to the refurbishment of a school building in sicily. Sustainability (Switzerland), 10 (8). https://doi.org/10.3390/su10082653

Cuttle, C. (2015). Lighting design: A perception-based approach. In Lighting Design: A Perception-Based Approach. https://doi.org/10.4324/9781315756882

De Luca, F., Simson, R., Voll, H., & Kurnitski, J. (2018). Daylighting and energy performance design for single floor commercial buildings. Management of Environmental Quality: An International Journal, 29(4), 722–739. https://doi.org/10.1108/MEQ-10-2017-0110

Edwards, L., & Torcellini, P. (2002). A Literature Review of the Effects of Natural Light on Building Occupants A Literature Review of the Effects of Natural Light on Building Occupants. Contract, July, 55.

Esquivias, P. M., Munoz, C. M., Acosta, I., Moreno, D., & Navarro, J. (2016). Climate-based daylight analysis of fixed shading devices in an open-plan office. Lighting Research and Technology, 48(2), 205–220. https://doi.org/10.1177/1477153514563638

Executive, S., & Final, T. (2021). Daylighting in Sports Halls. 2–4.

Fakra AH, Miranville F, Boyer H, Guichard S. (2011) Development of a new model to predict indoor daylighting: Integration in CODYRUN software and validation. Energy Conversion and Management 2011.

Galatioto A, Beccali M. Aspects and issues of daylighting assessment: A review study. Renewable and Sustainable Energy Reviews 2016; 66: 852-860.

Hafiz, D., & Transport, M. (2020). Daylighting, Space, and Architecture: A Literature Review. November. https://doi.org/10.17831/enq

Institution of Lighting Engineers. (2013). Outdoor Lighting Guide. Outdoor Lighting Guide. https://doi.org/10.4324/9780203030080

Ishac, M., & Nadim, W. (2016). The Design of the Optimal Light Shelf in Educational Setting Simulation vs. Optimization in assessing daylight performance. SBE16-Cairo 2016, November.

Karlen, M. (n.d.). LIGHTING.

Kensek, K., & Suk, J. (2011). Daylight Factor (overcast sky) versus Daylight Availability (clear sky) in Computer-based Daylighting Simulations. Journal of Creative Sustainable Architecture & Built …, 1(November), 3–14.

Kittler R. Daylight prediction and assessment: Theory and Design Practice. Architectural Science

Review 2007; 50(2): 94-99.

Kleindienst, S., Bodart, M., & Andersen, M. (2008). Graphical Representation of Climate-Based Daylight Performance to Support Architectural Design. LEUKOS - Journal of Illuminating Engineering Society of North America, 5(1), 39–61. https://doi.org/10.1582/LEUKOS.2008.05.01.003

Littlefair P. Site layout planning for daylight and sunlight: A guide to good practice. Report 209. Bracknell: IHS BRE Press; 2011.

Littlefield, D. (2015). Metric Handbook: Planning and Design Data - Google Buku. Routledge.

Marchese, P. (2006). S213 - Introduction to Ecotect Energy Design.

Mardaljevic J. Daylight, Indoor Illumination, and Human Behavior. In: Loftness V., Haase D., editors.

Sustainable Built Environments, New York: Springer; 2012, p. 69-111.

Mardaljevic, J. (2006). Examples of climate-based daylight modelling solar access study : the Arts Students League , New York , USA. CIBSE National Conference 2006: Engineering the Future, 67, 1–11.

Michael, D. (2021). Guide to energy efficient daylighting design.

Moyano, D. B., Fernández, M. S. J., & Lezcano, R. A. G. (2020). Towards a sustainable indoor lighting design: Effects of artificial light on the emotional state of adolescents in the classroom. Sustainability (Switzerland), 12(10). https://doi.org/10.3390/su12104263

Okotete, A. O. (2016). Maximising Visual Comfort and Natural Lighting. April.

Omar, et al. (2018). Alexandria Engineering Journal.

Peirce, M. W. (1953). Sports Lighting. Lighting Research and Technology, 18(7 IEStrans), 177–198. https://doi.org/10.1177/147715355301800701

Phillips, D. (2013). Lighting Modern Buildings. Lighting Modern Buildings. https://doi.org/10.4324/9780080496139

Phillips, D., & Gardner, C. (2012). Daylighting: Natural light in architecture. Daylighting: Natural Light in Architecture. https://doi.org/10.4324/9780080477053

Prasad, B. S. N., & Narasimhamurthy, B. (2000). Winter-to-summer variations of atmospheric turbidity over Mysore ( 12 ° N , 76 ° E ). 29(December), 333–340.

Salisu, A. S. (2015). Optimizing Fenestration for Daylight Provision in the Architecture of Secondary Schools in Nigeria Using Climate-Based Daylight Modelling. Zaria: Ahmadu Bello University, Zaria.

Steane, M. A. (2012). The Architecture of Light. The Architecture of Light. https://doi.org/10.4324/9780203715505

Thayer, A., Morrison, M., & LRC-RPI. (2020). Lighting for Healthy Living. 2–3. https://www.lrc.rpi.edu/healthyliving

Veugelers, O. (2017). The optimization of daylight in sports halls.

Villela, lucia maria aversa. (2013). Sun Wind and Light: architectural design strategies. Journal of Chemical Information and Modeling (Vol. 53, Issue 9).

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 ASDF