Light & Engineering 32 (4) 2024

Volume 32
Date of publication 08/15/2024
Pages 32–42

Simulative Prediction of Solar Illuminance and Application of the Du-Sharples Model in Estimating Adapted Daylighting Metrics for an Urban Environment L&E, Vol.32, No.4, 2024

Articles authors:

Sourin Bhattacharya, Subarna Roy, Sudipta Majumder, Sanjib Majumder

Sourin Bhattacharya, M. Tech. Currently serving as a Motor Vehicles Inspector at the Transport Department, Government of West Bengal, India. Previously, he served at the Education Department, Kolkata Municipal Corporation in 2018. He has been a Life Member of the Indian Science Congress Association since 2023. He has published several articles in peer-reviewed journals and his research interests primarily encompass road lighting, daylighting, and lighting ergonomics

Subarna Roy, M. Tech. (JU), M. Tech. (CU). Assistant Professor at the Electrical Engineering Department, JLD Engineering and Management College, Kolkata, India. Earlier, she had served at Sarn Solar Solution Pvt. Ltd. and the Electrical Engineering Department, Bengal Institute of Technology and Management, Santiniketan. Her research interests include illumination engineering, biomedical signal processing, artificial intelligence, and machine learning

Sudipta Majumder, B. Tech. Assistant Vice President at Citicorp Services India Pvt. Ltd., Pune, India. In addition, he is a certified Chartered Engineer (India) of the Institution of Engineers (India). Earlier, he served at Tata Consultancy Services Ltd. from 2016 to 2023. He has extensive experience in governance, risk control and compliance, and managers’ control assessment. He specializes in ITIL and application lifecycle management

Sanjib Majumder, M. Sc. (Physics). Research Scholar at the Department of Physics, Indian Institute of Technology Madras, Chennai, India where he is pursuing Ph. D. degree course. He has published articles in peer-reviewed journals pertaining to road lighting simulation and analysis and actively collaborates with peers and academicians to perform research works

Abstract:

The practice of daylighting in indoor spaces can significantly reduce electricity consumption and carbon emissions, improve human productivity, and enhance mood and cognitive perception. This work discussed the recent developments in daylighting science and practice, computed the periodic variations in average diurnal daylight levels for each month, quantified in terms of global horizontal illuminance and diffuse horizontal illuminance, for Kolkata, India, a city with tropical wet and dry climate, with two empirical luminous efficacy models of estimating solar illuminance, and assessed daylighting metrics with the Du-Sharples model. A program was formulated that could compute and generate daylight data with monthly-hourly solar irradiation data and the Du-Sharples model was utilized to predict dirt-corrected daylighting metrics for three glazing transmittance values and five elemental carbon deposition levels on glazing material. The highest monthly average global horizontal illuminance is recorded in April (64.05 klx for Littlefair model and 66.82 klx for Muneer-Kinghorn model) and the highest monthly average diffuse horizontal illuminance is recorded in July (33.23 klx for Littlefair model and 30.63 klx for Muneer-Kinghorn model). Further, the computed yearly average global and diffuse horizontal illuminance levels agree well with a previous study that applied the Perez model. Yearly average horizontal work surface illuminance level remained >1.5 klx for window-towall area ratio >30 %. The approach adopted in this work and the temporal variation charts of computed exterior daylight level data may assist building service engineers, architects, and indoor lighting practitioners in making informed policy decisions at different stages of building planning.

References:

1. Ferenčikova, M., Darula, S. Availability of daylighting in school operating time // Light & Engineering, 2017, # 25, pp. 71–78.
2. Knoop, M., Stefani, O., Bueno, B., Matusiak, B., Hobday, R., Wirz-Justice, A., Martiny, K., Kantermann, T., Aarts, M., Zemmouri, N., Appelt, S., Norton, B. Daylight: What makes the difference? // Lighting Research & Technology, 2020, # 52, pp. 423–442.
3. Kandilli, C., Ulgen, K. Solar Illumination and Estimating Daylight Availability of Global Solar Irradiance // Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2008, # 30, pp. 1127–1140.
4. Beute, F., de Kort, Y.A.W. Salutogenic Effects of the Environment: Review of Health Protective Effects of Nature and Daylight // Appl Psychol Health Well Being, 2017, # 6, pp. 67–95.
5. Macdonald, H.M. Contributions of Sunlight and Diet to Vitamin D Status // Calcif Tissue Int., 2013, # 92, pp. 163–176.
6. Begemann, S.H.A., van den Beld, G.J., Tenner, A.D. Daylight, artificial light and people in an office environment, overview of visual and biological responses // Int J Ind Ergon, 1997, # 20, pp. 231–239.
7. Mayhoub, M.S., Carter, D.J. The costs and benefits of using daylight guidance to light office buildings // Build Environ, 2011, # 46, pp. 698–710.
8. Ayaz, M., Yucel, U., Erhan, K., Ozdemir, E. A Novel Cost-efficient Daylight-based Lighting System for Public Buildings: Design and Implementation // Light & Engineering, 2020, pp. 60–70.
9. Kose, B., Kazanasmaz, T. Applicability of a Prismatic Panel to Optimize Window Size and Depth of a South-facing Room for a Better Daylight Performance // Light & Engineering, 2020, pp. 63–67.
10. Yavuz, C., Yanikoğlu, E., Güler, Ö. Determination of real energy saving potential of daylight responsive systems: a case study from Turkey // Light & Engineering, 2010, # 18, pp. 99–105.
11. Tsangrassoulis, A., Kontadakis, A., Doulos, L. Assessing Lighting Energy Saving Potential from Daylight Harvesting in Office Buildings Based on Code Compliance & Simulation Techniques: A Comparison // Procedia Environ Sci, 2017, # 38, pp. 420–427.
12. Sonawane, M.B., Mhaske, S.Y. Predicting daylight illuminance in urban city using statistical regression techniques // Journal of Engineering Science and Technology, 2018, # 13, pp. 2181–2194.
13. Sadick, A.-M., Issa, M.H. Occupants’ indoor environmental quality satisfaction factors as measures of school teachers’ well-being // Build Environ, 2017, # 119, pp. 99–109.
14. Sadick, A.-M., Kpamma, Z.E., Agyefi-Mensah, S. Impact of indoor environmental quality on job satisfaction and self-reported productivity of university employees in a tropical African climate // Build Environ, 2020, # 181, 107102 p.
15. Leonidov, A.V. Analytic Representation of Relation between Solar Altitude Angle and Local Time for Calculating Daylight Irradiance and Illuminance of the Earth Surface // Light & Engineering, 2020, pp. 34–38.
16. Bhattacharya, S., Majumder, S., Roy, S., Sardar,I.H. Estimation of daylight availability in Kolkata and approximation of indoor daylight levels for different daylighting methods // International Journal of Sustainable Energy, 2022, # 41, pp. 29–57.
17. Littlefair, P.J. Measurements of the luminous efficacy of daylight // Lighting Research & Technology, 1988, # 20, pp. 177–188.
18. Muneer, T., Kinghorn, D. Luminous efficacy of solar irradiance: Improved models // Lighting Research and Technology, 1997, # 29, pp. 185–191.
19. Du, J., Sharples, S.A Dynamic Analysis of the Impact of Air Pollution on the daylight Availability in An Open-plan Office in London // Light & Engineering, 2021, pp. 94–103.
20. Littlefair, P.J. The luminous efficacy of daylight: a review // Lighting Research & Technology, 1985, # 17, pp. 162–182.
21. Ångström, A. The parameters of atmospheric turbidity // Tellus, 1964, # 16, pp. 64–75.
22. National Renewable Energy Laboratory, International data, Https://Nsrdb.Nrel.Gov/about/International-Data. Html (2014).
23. Aghimien, E.I., Li, D.H.W., Chen, W., Tsang, E.K.W. Daylight luminous efficacy: An overview // Solar Energy, 2021, # 228, pp. 706–724.
24. Biga, A.J., Rosa, R. Estimating solar irradiation sums from sunshine and cloudiness observations // Solar Energy, 1980, # 25, pp. 265–272.
25. Favez, O., Cachier, H., Chabas, A., Ausset, P., Lefevre, R. Crossed optical and chemical evaluations of modern glass soiling in various European urban environments // Atmos Environ, 2006, # 40, pp. 7192–7204.
26. Joshi, M., Sawhney, R.L., Buddhi, D. Estimation of Luminous efficacy of daylight and exterior illuminance for composite climate of Indore city in Mid-Western India // Renew Energy, 2007, # 32, pp. 1363–1378.
27. Patil, K.N., Garg, S.N., Kaushik, S.C. Luminous efficacy model validation and computation of solar illuminance for different climates of India // Journal of Renewable and Sustainable Energy, 2013, # 5.
28. Perez, R., Ineichen, P., Seals, R., Michalsky, J., Stewart, R. Modelling daylight availability and irradiance components from direct and global irradiance // Solar Energy, 1990, # 44, pp. 271–289.
29. Budak, V.P., Smirnov, P.A. A physical model of the firmament to calculate daylight // Light & Engineering, 2013, # 21, pp. 17–23.
30. Kittler, R., Darula, S., Perez, R. Advantages of new sky standards: more realistic modelling of daylight conditions in energy and environmental studies // International Journal of Energy, Environment and Economics, 1999, # 8, pp. 65–71.
31. Mukherjee, S., Roy, B. Correlating Indian measured sky luminance distribution and Indian Design clear sky model with five CIE Standard clear sky models // Journal of Optics, 2011, # 40, pp. 150–161.

Keywords

DOI: https://doi.org/10.33383/2024-004

Article in RUS:
Svetotekhnika # 5, 2024

Buy