Mathematical modeling and optimization of workplace illumination in ceramic industries (Iran) using DIALux evo

Saeed Shojaee Barjoee, Vladimir Rodionov

Article ID: 5918
Vol 8, Issue 15, 2024

VIEWS - 97 (Abstract)

Abstract


Introduction: Many detrimental effects on employees’ health and wellbeing might result from inadequate illumination in the workplace. Headaches and trouble focusing can result from eye strain brought on by inadequate illumination. The purpose of this study was to simulate and optimize workplace illumination in the ceramic industry. Materials and methods: A common Luxmeter ST-1300 was used to measure the illumination in seven workplaces at a height of 100 cm above the floor. DIALux evo version 7.1 software was used to simulate the illumination of workplaces. To optimize the illumination conditions, a numerical experiment design consisting of 16 scenarios was used for each of the workplaces. Four factors were considered for each scenario: luminaire height, number of luminaires, luminous flux, and light loss factor. The Design-Expert program version 13.0.5.0 was applied for developing the scenarios. Finally, by developing quadratic models for each workplace, the optimization process was implemented. Results: Every workplace had illumination levels that were measured to be between 250 and 300 lux. Instead of using compact fluorescent luminaires, LED technology was recommended to maximize the illumination conditions for the workers. Following optimization, 376 lux of illumination were visible at each workstation in every workspace. For the majority of the workspaces, the simulated illumination was expected to have a desirability degree greater than 0.9. The uniformity and illumination of the workplace were significantly impacted by the two factors of luminaire height and luminaire count. Conclusion: The primary outcomes of this optimization were the environmental, political, and socioeconomic ones, including reduced consumption power, high light flux, and environmental compatibility. Nonetheless, the optimization technique applied in this work can be applied to the design of similar situations, such as residential infrastructure.


Keywords


artificial illuminative system; DIALux evo; 3D luminance maps; compact fluorescent luminaire; design of experiments (DOE); light loss factor; luminous flux

Full Text:

PDF


References


Al-Bsheish, M., Al-Mugheed, K., Samarkandi, L., Zubaidi, F., Almahmoud, H., & Ashour, A. (2023). The association between workplace physical environment and nurses’ safety compliance: A serial mediation of psychological and behavioral factors. Heliyon, 9(11), e21985.

Albu, H., Beu, D., Rus, T., Moldovan, R., Domniţa, F., & Vilčeková, S. (2023). Life cycle assessment of LED luminaire and impact on lighting installation–A case study. Alexandria Engineering Journal, 80, 282-293.

Bai, J., Guo, J., Wang, C., Chen, Z., He, Z., Yang, S., Yu, P., Zhang, Y., & Guo, Y. (2023). Deep graph learning for spatially-varying indoor lighting prediction. Science China Information Sciences, 66(3), 132106.

Barjoee, S. S., Azizi, M., Yazdani, M., Alikhani, E., & Khaledi, A. (2024). Emission source apportionment of the road dust-bound trace and major elements in Najafabad to the west of Isfahan megacity (Iran) based on multivariate receptor-oriented source models of PMF, PCFA and UNMIX. Environment, Development and Sustainability, 26(4), 10333-10366.

Benson, C., Obasi, I. C., Akinwande, D. V., & Ile, C. (2024). The impact of interventions on health, safety and environment in the process industry. Heliyon, 10(1), e23604.

Bertin, K., Canale, L., Ben Abdellah, O., Méquignon, M.-A., & Zissis, G. (2019). Life cycle assessment of lighting systems and light loss factor: A case study for indoor workplaces in France. Electronics, 8(11), 1278.

Bolshunov, A. V., Vasilev, D. A., Dmitriev, A. N., Ignatev, S. A., Kadochnikov, V. G., Krikun, N. S., Serbin, D. V., & Shadrin, V. S. (2023). Results of complex experimental studies at Vostok station in Antarctica. Journal of Mining Institute(263 (eng)), 724-741.

Castric, S., Denis-Vidal, L., Cherfi, Z., Blanchard, G. J., & Boudaoud, N. (2012). Modeling pollutant emissions of diesel engine based on kriging models: a comparison between geostatistic and gaussian process approach. IFAC Proceedings Volumes, 45(6), 1708-1715.

Chen, H., Su, Y., Wei, R., & Jiang, C. (2024). Spatial interpolation-based method for tunnel lighting quality assessment. International Conference on Smart Transportation and City Engineering (STCE 2023),

Choi, H., Kim, H., Yeom, S., Hong, T., Jeong, K., & Lee, J. (2022). An indoor environmental quality distribution map based on spatial interpolation methods. Building and Environment, 213, 108880.

Dianat, I., Sedghi, A., Bagherzade, J., Jafarabadi, M. A., & Stedmon, A. W. (2013). Objective and subjective assessments of lighting in a hospital setting: implications for health, safety and performance. Ergonomics, 56(10), 1535-1545.

Eremeeva, A., Ilyashenko, I., & Korshunov, G. (2022). The possibility of application of bioadditives to diesel fuel at mining enterprises. Mining Informational and Analytical Bulletin, 39-49.

Fanpu, M., & Hua, F. (2024). Research on the health lighting scheme of university library reading room. Heliyon, 10(19).

Gendler, S., Stepantsova, A., & Popov, M. (2024). Justification of the safe operation of a closed coal warehouse by gas factor. Journal of Mining Institute, 1-11.

Gendler, S., Vasilenko, T., & Stepantsova, A. Y. (2023). Investigation of mass transfer of hard coal during its transportation to the place of temporary storage. Mining information and analytical bulletin(9-1), 135-148.

Giménez, M. C., Geerdinck, L. M., Versteylen, M., Leffers, P., Meekes, G. J., Herremans, H., De Ruyter, B., Bikker, J. W., Kuijpers, P. M., & Schlangen, L. J. (2017). Patient room lighting influences on sleep, appraisal and mood in hospitalized people. Journal of sleep research, 26(2), 236-246.

Glebova, E. V., Volokhina, A. T., & Vikhrov, A. E. (2023). Assessment of the efficiency of occupational safety culture management in fuel and energy companies. Journal of Mining Institute(259 (eng)), 68-78.

Gridina, E., & Borovikov, D. (2023). Improving the safety of the working personnel of a quarry located in difficult mining and geological conditions of the Far North. Mining Informational and Analytical Bulletin(9), 149-163.

Hoffmann, G., Gufler, V., Griesmacher, A., Bartenbach, C., Canazei, M., Staggl, S., & Schobersberger, W. (2008). Effects of variable lighting intensities and colour temperatures on sulphatoxymelatonin and subjective mood in an experimental office workplace. Applied Ergonomics, 39(6), 719-728.

Jain, A., Zwetsloot, G., & Torres, L. (2024). Sustainability, business responsibility and occupational health, safety and wellbeing in the future of work. In (pp. 106463): Elsevier.

Kabanov, E. I., Tumanov, M. V., Smetanin, V. S., & Romanov, K. V. (2023). An innovative approach to injury prevention in mining companies through human factor management. Journal of Mining Institute(263 (eng)), 774-784.

Kabanov, E., Korshunov, G., & Magomet, R. (2021). Quantitative risk assessment of miners injury during explosions of methane-dust-air mixtures in underground workings. Journal of Applied Science and Engineering, 24(1), 105-110.

Katabaro, J. M., & Yan, Y. (2019). Effects of lighting quality on working efficiency of workers in office building in Tanzania. Journal of environmental and public health, 2019, 1-12.

Klimova, I., Smirnov, Y. G., & Rodionov, V. (2022). Modeling of the Interrelations between the Working Conditionsand the Health of Oil Sheds Personnel using Fuzzy Logic. Occupational Safety in Industry(1), 46-50.

Kolvakh, K. (2023). Assessment and management of injury risk of personnel in case of rock failures in coal mines in Kuzbass. Mining Informational and Analytical Bulletin(3), 124-132.

Korshunov, G., Nikulin, A., & Krasnoukhova, D. (2023). Development of recommendations for professional risk management of employees of the mining and processing plant. Mining Informational and Analytical Bulletin, 9, 199–214.

Kralikova, R., Badida, M., Sobotova, L., & Badidova, A. (2018). Design of Illumination and Lighting Visualization by Simulation Methods. Dynamical Systems in Applications: Łódź, Poland December 11–14, 2017 14,

Králiková, R., Džuňová, L., Lumnitzer, E., & Piňosová, M. (2022). Simulation of Artificial Lighting Using Leading Software to Evaluate Lighting Conditions in the Absence of Daylight in a University Classroom. Sustainability, 14(18), 11493.

Králiková, R., Lumnitzer, E., Džuňová, L., & Yehorova, A. (2021). Analysis of the impact of working environment factors on employee’s health and wellbeing; workplace lighting design evaluation and improvement. Sustainability, 13(16), 8816.

Kraneburg, A., Franke, S., Methling, R., & Griefahn, B. (2017). Effect of color temperature on melatonin production for illumination of working environments. Applied Ergonomics, 58, 446-453.

Lassandro, P., Fioriello, C. S., Lepore, M., & Zonno, M. (2021). Analysing, modelling and promoting tangible and intangible values of building heritage with historic flame lighting system. Journal of Cultural Heritage, 47, 166-179.

Leśko, M., Różowicz, A., Wachta, H., & Różowicz, S. (2020). Adaptive luminaire with variable luminous intensity distribution. Energies, 13(3), 721.

Li, Z., Wang, H., Han, C., & Dang, R. (2024). Evaluation method for the color preference of lighting traditional Chinese paintings in museum based on light source spectral analysis. Heliyon, 10(10), e30306.

Lin, A., Fang, M., & Zhou, C. (2024). Analysis of ward lighting environment and design of comfortable ward lighting. Measurement: Sensors, 31, 101020.

Linh, N. K., Tien, N. T., Luan, D. C., Dinh, D. V., & Thang, N. V. (2025). Enhancing Efficiency of Steel Prop Recovery Processes in Unused Mining Excavation. International Journal of Engineering, 38(2), 400-407.

Mahdavi, A., & Mahattanatawe, P. (2003). Enclosure systems design and control support via dynamic simulation-assisted optimization. na.

Malet-Damour, B., Boyer, H., Guichard, S., & Miranville, F. (2017). Performance testing of light pipes in real weather conditions for a confrontation with hemera. Journal of Clean Energy Technologies, 5(1), 73-76.

Mannan, K. A. (2020). Lighting Design Analysis in an Industrial Workshop Space: Case Study at Jakarta Creative Hub Workshop Space. Journal of Architectural Research and Design Studies, 4(1), 1-7.

Meng, F., Chen, D., Xiong, W., Tan, H., Wang, Y., Zhu, W., & Su, S.-J. (2016). Tuning color-correlated temperature and color rendering index of phosphorescent white polymer light-emitting diodes: Towards healthy solid-state lighting. Organic Electronics, 34, 18-22.

Moerman, F. (2023). Hygienic design concepts for lighting in the food industry. In Hygienic Design of Food Factories (pp. 531-623). Elsevier.

Nazari, M., Matusiak, B., & Stefani, O. (2023). Utilising spectral lighting simulation technique for evaluating transmitted daylight through glazing: Exploring the non-visual effects and colour appearance. Heliyon, 9(10), e20436.

Nguyen, M. P., Ponomarenko, T., & Nguyen, N. (2024). Energy Transition in Vietnam: A Strategic Analysis and Forecast. Sustainability, 16(5), 1969.

Perumal, S. R., & Baharum, F. (2022). Design and Simulation of a Circadian Lighting Control System Using Fuzzy Logic Controller for LED Lighting Technology. Journal of Daylighting, 9(1), 64-82.

Pervukhin, D., Davardoost, H., Kotov, D., Ilyukhina, Y., & Hasanov, K. (2023). A sustainable development goals-based mathematical model for selecting oil and gas investment projects under uncertainty and limited resources. Advanced Mathematical Models & Applications, 8(3), 502-528.

Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2022). Machine learning methods in smart lighting toward achieving user comfort: a survey. IEEE Access, 10, 45137-45178.

Roberts, F., White, M., Memon, S., He, B.-J., & Yang, S. (2023). The Application of Human-Centric Lighting in Response to Working from Home Post-COVID-19. Buildings, 13(10), 2532.

Roy, S., & Satvaya, P. (2022). The effects of lamp types and surface reflectance combinations on the subjective perception of a simulated lit hospital ward environment. Facilities, 40(11/12), 697-718.

Roy, S., Satvaya, P., & Bhattacharya, S. (2024). Effects of indoor lighting conditions on subjective preferences of task lighting and room aesthetics in an Indian tertiary educational institution. Building and Environment, 249, 111119.

Royer, M. (2014). Lumen maintenance and light loss factors: Consequences of current design practices for LEDs. Leukos, 10(2), 77-86.

Ru, T., Kompier, M. E., Chen, Q., Zhou, G., & Smolders, K. C. (2023). Temporal tuning of illuminance and spectrum: Effect of a full-day dynamic lighting pattern on well-being, performance and sleep in simulated office environment. Building and Environment, 228, 109842.

Ruan, C., Zhou, L., Wei, L., Xu, W., & Lin, Y. (2024). Prediction model for indoor light environment brightness based on image metrics. Displays, 82, 102662.

Rudakov, M., Babkin, R., & Medova, E. (2021). Improvement of working conditions of mining workers by reducing nitrogen oxide emissions during blasting operations. Applied Sciences, 11(21), 9969.

Safiullin, R., & Arias, Z. P. (2024). Comprehensive Assessment of the Effectiveness of Passenger Transportation Processes Using Intelligent Technologies. The Open Transportation Journal, 18(1).

Schledermann, K., Bjørner, T., West, A., & Hansen, T. (2023). Evaluation of staff's perception of a circadian lighting system implemented in a hospital. Building and Environment, 242, 110488.

Shestakova, I. (2024). The Era of Digital Transition in the Prism of the Existential Threat of Job Loss: Corporate Social Responsibility. Sustainability, 16(18), 8019.

Shestakova, I., & Morgunov, V. (2023). Structuring the post-COVID-19 process of digital transformation of engineering education in the russian federation. Education Sciences, 13(2), 135.

Shojaee Barjoee, S., Azizi, M., Khaledi, A., Kouhkan, M., Soltani, M., & Farokhi, H. (2023a). Street dust-bound metal (loid) s in industrial areas of Iran: Moran's spatial autocorrelation distribution, eco-toxicological risk assessment, uncertainty and sensitivity analysis. International Journal of Environmental Science and Technology, 20(8), 8509-8536.

Shojaee Barjoee, S., Azizi, M., Kouhkan, M., Alipourfard, I., Bayat, A., Shahbaz, Y. H., Badieefar, A., & Latif, M. T. (2023b). The Impacts and Analysis of Individual and Social Risks of the Stochastic Emission of Benzene from Floating-Roof Tanks Using Response Surface Analysis and MPACT Model. Archives of Environmental Contamination and Toxicology, 84(3), 347-367.

Smirniakova, V., Smirniakov, V., Almosova, Y., & Kargopolova, A. (2021). Vision zero” concept as a tool for the effective occupational safety management system formation in JSC “SUEK-kuzbass. Sustainability, 13(11), 6335.

Sokol, N., Martyniuk-Peczek, J., Matusiak, B., Amorim, C. N. D., Waczynska, M., Kurek, J., Vasquez, N. G., Sibilio, S., Kanno, J. R., & Scorpio, M. (2023). ‘Personas for lighting’. Three methods to develop personas for the indoor lighting environment. Energy and Buildings, 278, 112580.

Ustyugov, D. L., Noa Segura, H. L., & Ryakhovsky, M. S. (2024). Influence of rainfall infiltration on groundwater recharge in hydrogeological region La Yana, Cuba. Gornyi Zhurnal (9), 97–102.

Veitch, J. A. (2006). Lighting for high-quality workplaces. In Creating the productive workplace (pp. 234-250). Taylor & Francis.

Vetter, C., Pattison, P. M., Houser, K., Herf, M., Phillips, A. J., Wright, K. P., Skene, D. J., Brainard, G. C., Boivin, D. B., & Glickman, G. (2022). A review of human physiological responses to light: implications for the development of integrative lighting solutions. Leukos, 18(3), 387-414.

Wang, F., Pan, H., Mao, W., & Wang, D. (2024). Optimizations of luminescent materials for white light emitting diodes toward healthy lighting. Heliyon, 10(14), e34795.

Wang, S., Su, D., & Wu, Y. (2022). Environmental and social life cycle assessments of an industrial LED lighting product. Environmental Impact Assessment Review, 95, 106804.

Wei, M., Houser, K. W., Orland, B., Lang, D. H., Ram, N., Sliwinski, M. J., & Bose, M. (2014). Field study of office worker responses to fluorescent lighting of different CCT and lumen output. Journal of Environmental Psychology, 39, 62-76.

Ye, Z.-T., Chang, C., Juan, M.-C., & Chen, K.-J. (2020). Luminous intensity field optimization for antiglare LED desk lamp without second optical element. Applied Sciences, 10(7), 2607.

Zhang, C., Jiao, Q., Zhao, J., Zhang, S., Li, D., Gao, W., Zhang, H., & Zheng, Y. (2024a). High correlated color temperature white light-emitting diodes disrupt refractive development in guinea pigs. Heliyon, 10(22), e38853.

Zhang, X., Wang, J., Zhou, Y., Wang, H., Xie, N., & Chen, D. (2024b). A multi-objective optimization method for enclosed-space lighting design based on MOPSO. Building and Environment, 250, 111185.




DOI: https://doi.org/10.24294/jipd5918

Refbacks



Copyright (c) 2024 Saeed Shojaee Barjoee, Vladimir Rodionov

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.