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Building density impact on final energy consumption forartificial and automatic lighting control system in thesports hall – numerical case study analysis
Authors:
Aleksandar Nešović1
,
Strahinja Djurović2
,
Dragan Cvetković3
,
Miljan Marašević4
1Faculty of Engineering, University of Kragujevac, Serbia
2Academy of Applied Studies Kosovo and Metohija, Leposavić, Serbia
3Institute of Information Technologies, University of Kragujevac, Serbia
4Faculty of Mechanical and Civil Engineering in Kraljevo, University of Kragujevac, Serbia
Received: 6 March 2023
Revised: 24 June 2023
Accepted: 11 August 2023
Published: 30 September 2023
Abstract:
An increasing number of new buildings equipped with modern and energy-efficient thermo-technical systems contribute to society’s efforts to make urban environments more sustainable shortly than they were before. Despite this, the applied methods have negative consequences that slow down this process. On the (concrete) example of the sports hall, by analyzing the consumption of final (electrical) energy for artificial lightning, this paper pointed out the negative effects of shading in buildings – phenomena that arise as a consequence of accelerated urbanization, without more detailed planning prediction bases. To create this numerical study, the software packages EnergyPlus and Google SketchUp were used, which communicate via the Legacy OpenStudio platform. Based on the conducted simulations, it was concluded that the consumption of final (electrical) energy for artificial lighting can be increased over 2.59 times, depending on the next parameters: the shape factor and orientation of the building, technical characteristics of lighting, and windows, spatial planning and urbanization, etc. For the sake of creating sustainable cities, energy-eco projects should not focus only on individual buildings in the future, i.e.isolated cases. The problem should be looked at more broadly, taking into account at least the immediate environment, i.e. “communication” of the analyzed building with its surroundings.
Keywords:
Artificial lighting, automatic lighting, building density, control systems, EnergyPlus software, final energy consumption, Numerical analysis
References:
[1] International Energy Agency (IEA), https://www.iea.org/ (Accessed: 12 February 2023).
[2] ENERGY RATING, https://www.energyrating.gov.au/ (Accessed: 3 March 2023).
[3] Database-Eurostat-European Commission, https://ec.europa.eu/eurostat/ (Accessed: 2 March 2023).
[4] L. Bellia, C. Marino, F. Minichiello, A. Pedace, An overview on solar shading systems for buildings. Energy Procedia, 62, 2014: 309-317. https://doi.org/10.1016/j.egypro.2014.12.392
[5] A. Kirimtat, B.K. Koyunbaba, I. Chatzikonstantinou, S. Sariyildiz, Review of simulation modeling for shading devices in buildings. Renewable and Sustainable Energy Reviews, 53, 2016: 23-49.
https://doi.org/10.1016/j.rser.2015.08.020
[6] J.A. Dakheel, K.T. Aoul, Building applications, opportunities and challenges of active shading systems: A state-of-the-art review. Energies, 10(10), 2017: 1672. https://doi.org/10.3390/en10101672
[7] A. Tabadkani, A. Roetzel, H.X. Li, A. Tsangrassoulis, S. Attia, Analysis of the impact of automatic shading control scenarios on occupant’s comfort and energy load. Applied Energy, 294, 2021: 116904.
https://doi.org/10.1016/j.apenergy.2021.116904
[8] N. Gentile, E.S. Lee, W. Osterhaus, S. Altomonte, C.N.D. Amorim, G. Ciampi, V. Garcia-Hansen, M. Maskarenj, M. Scorpio, S. Sibilio, Evaluation of integrated daylighting and electric lighting design projects: Lessons learned from international case studies. Energy and Buildings, 268, 2022: 112191.
https://doi.org/10.1016/j.enbuild.2022.112191
[9] A. Guillemin, N. Morel, An innovative lighting controller integrated in a self-adaptive building control system. Energy and Buildings, 33(5), 2001: 477-487. https://doi.org/10.1016/S0378-7788(00)00100-6
[10] B. Sun, P.B. Luh, Q.S. Jia, Z. Jiang, F. Wang, C. Song, Building energy management: Integrated control of active and passive heating, cooling, lighting, shading, and ventilation systems. IEEE Transactions on automation science and engineering, 10(3), 2012: 588-602. https://doi.org/10.1109/TASE.2012.2205567
[11] S. Yang, M.P. Wan, B.F. Ng, S. Dubey, G.P. Henze, W. Chen, K. Baskaran, Model predictive control for integrated control of air- conditioning and mechanical ventilation, lighting and shading systems. Applied Energy, 297, 2021: 117112. https://doi.org/10.1016/j.apenergy.2021.117112
[12] A. Tzempelikos, A.K. Athienitis, The effect of shading design and control on building cooling demand. International Conference on Passive and Low Energy Cooling for the Built Environment 2005 (ICPLECBE 2005), May 2005, Santorini, Greece, pp.953-958.
[13] R. Shan, Optimization for heating, cooling and lighting load in building facade design. Energy Procedia, 57, 2014: 1716-1725. https://doi.org/10.1016/j.egypro.2014.10.142
[14] Y. Ding, X. Ma, S. Wei, W. Chen, A prediction model coupling occupant lighting and shading behaviors in private offices. Energy and Buildings, 216, 2020: 109939. https://doi.org/10.1016/j.enbuild.2020.109939
[15] J. Xie, A. O. Sawyer, Simulation-assisted data-driven method for glare control with automated shading systems in office buildings. Building and Environment, 196, 2021: 107801.
https://doi.org/10.1016/j.buildenv.2021.107801
[16] G. Bayram, Z.T. Kazanasmaz, Simulation-based retrofitting of an educational building in terms of optimum shading device and energy efficient artificial lighting criteria. Light and Engineering, 24(2), 2016: 45-55. http://hdl.handle.net/11147/5946
[17] N. Sun, Y. Cui, Y. Jiang, S. Ii, Lighting and ventilation-based building sun-shading design and simulation case in cold regions. Energy Procedia, 152, 2018: 462-469. https://doi.org/10.1016/j.egypro.2018.09.254
[18] S. Heidarzadeh, M. Mahdavinejad, F. Habib, External shading and its effect on the energy efficiency of Tehran’s office buildings. Environmental Progress & Sustainable Energy, 2023: e14185.
https://doi.org/10.1002/ep.14185
[19] M.C. Di Vincenzo, D. Kesten, D. Infield, Assessment of performance of building shading device with integrated photovoltaics in different urban scenarios. International Conference on Sustainable Energy Technologies 2010 (ICSET 2010), 6th December 2010, Kandy, Sri Lanka, pp.1-5.
[20] S. Safranek, B. Abboushi, The Impact of Circadian Lighting Design Strategies on Lighting and Cooling Energy of an Office Space. Technical Report, PNNL-33424, United States, 2023.
https://doi.org/10.2172/1971617
[21] M. Krarti, Optimal energy performance of dynamic sliding and insulated shades for residential buildings. Energy, 263(Part B), 2023: 125699. https://doi.org/10.1016/j.energy.2022.125699
[22] M.C. Pinto, G. Crespi, F. Dell’Anna, C. Becchio, Combining energy dynamic simulation and multi-criteria analysis for supporting investment decisions on smart shading devices in office buildings. Applied Energy, 332, 2023: 120470. https://doi.org/10.1016/j.apenergy.2022.120470
[23] N. Jamala, B. Hamzah, R. Mulyadi, I. Cahyani, The Architectural Design of Building Façade Models Related to Optimizing Daylight Distribution. Journal of Daylighting, 10(1), 2023: 60-71.
https://dx.doi.org/10.15627/jd.2023.5
[24] S. Song, J. Long, H. Jiang, B. Ran, L. Yao, Characteristics of office lighting energy consumption and its impact on air conditioning energy consumption. Energy and Built Environment, 2023.
https://doi.org/10.1016/j.enbenv.2023.04.003
[25] G. Dev, A. Saifudeen, Dynamic facade control systems for optimal daylighting, a case of Kerala. Sustainability Analytics and Modeling, 3, 2023: 100018. https://doi.org/10.1016/j.samod.2023.100018
[26] H. Sarmadi, M. Mahdavinejad, A designerly approach to Algae-based large open office curtain wall Façades to integrated visual comfort and daylight efficiency. Solar Energy, 251, 2023: 350-365.
https://doi.org/10.1016/j.solener.2023.01.021
© 2023 by the authors. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 10
Number 1
March 2025
Last Edition
Volume 10
Number 1
March 2025
How to Cite
A. Nešović, S. Djurović, D. Cvetković, M. Marašević, Building Density Impact on Final Energy Consumption for Artificial and Automatic Lighting Control System in the Sports Hall – Numerical Case Study Analysis. Applied Engineering Letters, 8(3), 2023: 101–110.
https://doi.org/10.18485/aeletters.2023.8.3.2
More Citation Formats
Nešović, A., Djurović, S., Cvetković, D. & Marašević, M. (2023). Building Density Impact on Final Energy Consumption for Artificial and Automatic Lighting Control System in the Sports Hall — Numerical Case Study Analysis. Applied Engineering Letters, 8(3), 101–110. https://doi.org/10.18485/aeletters.2023.8.3.2
Aleksandar Nešović, et al. “Building Density Impact on Final Energy Consumption for Artificial and Automatic Lighting Control System in the Sports Hall — Numerical Case Study Analysis.” Applied Engineering Letters, vol. 8, no. 3, 2023, pp. 101–10, https://doi.org/10.18485/aeletters.2023.8.3.2.
Aleksandar Nešović, Siniša Djurović, Dragan Cvetković, and Miljan Marašević. 2023. “Building Density Impact on Final Energy Consumption for Artificial and Automatic Lighting Control System in the Sports Hall — Numerical Case Study Analysis.” Applied Engineering Letters 8 (3): 101–10. https://doi.org/10.18485/aeletters.2023.8.3.2.
Nešović, A., Djurović, S., Cvetković, D. and Marašević, M.(2023). Building Density Impact on Final Energy Consumption for Artificial and Automatic Lighting Control System in the Sports Hall — Numerical Case Study Analysis. Applied Engineering Letters, 8(3), pp.101–110. doi: 10.18485/aeletters.2023.8.3.2.
Building density impact on final energy consumption forartificial and automatic lighting control system in thesports hall – numerical case study analysis
Authors:
Aleksandar Nešović1
,
Strahinja Djurović2
,
Dragan Cvetković3
,
Miljan Marašević4
1Faculty of Engineering, University of Kragujevac, Serbia
2Academy of Applied Studies Kosovo and Metohija, Leposavić, Serbia
3Institute of Information Technologies, University of Kragujevac, Serbia
4Faculty of Mechanical and Civil Engineering in Kraljevo, University of Kragujevac, Serbia
Received: 6 March 2023
Revised: 24 June 2023
Accepted: 11 August 2023
Published: 30 September 2023
Abstract:
An increasing number of new buildings equipped with modern and energy-efficient thermo-technical systems contribute to society’s efforts to make urban environments more sustainable shortly than they were before. Despite this, the applied methods have negative consequences that slow down this process. On the (concrete) example of the sports hall, by analyzing the consumption of final (electrical) energy for artificial lightning, this paper pointed out the negative effects of shading in buildings – phenomena that arise as a consequence of accelerated urbanization, without more detailed planning prediction bases. To create this numerical study, the software packages EnergyPlus and Google SketchUp were used, which communicate via the Legacy OpenStudio platform. Based on the conducted simulations, it was concluded that the consumption of final (electrical) energy for artificial lighting can be increased over 2.59 times, depending on the next parameters: the shape factor and orientation of the building, technical characteristics of lighting, and windows, spatial planning and urbanization, etc. For the sake of creating sustainable cities, energy-eco projects should not focus only on individual buildings in the future, i.e.isolated cases. The problem should be looked at more broadly, taking into account at least the immediate environment, i.e. “communication” of the analyzed building with its surroundings.
Keywords:
Artificial lighting, automatic lighting, building density, control systems, EnergyPlus software, final energy consumption, Numerical analysis
References:
[1] International Energy Agency (IEA), https://www.iea.org/ (Accessed: 12 February 2023).
[2] ENERGY RATING, https://www.energyrating.gov.au/ (Accessed: 3 March 2023).
[3] Database-Eurostat-European Commission, https://ec.europa.eu/eurostat/ (Accessed: 2 March 2023).
[4] L. Bellia, C. Marino, F. Minichiello, A. Pedace, An overview on solar shading systems for buildings. Energy Procedia, 62, 2014: 309-317. https://doi.org/10.1016/j.egypro.2014.12.392
[5] A. Kirimtat, B.K. Koyunbaba, I. Chatzikonstantinou, S. Sariyildiz, Review of simulation modeling for shading devices in buildings. Renewable and Sustainable Energy Reviews, 53, 2016: 23-49.
https://doi.org/10.1016/j.rser.2015.08.020
[6] J.A. Dakheel, K.T. Aoul, Building applications, opportunities and challenges of active shading systems: A state-of-the-art review. Energies, 10(10), 2017: 1672. https://doi.org/10.3390/en10101672
[7] A. Tabadkani, A. Roetzel, H.X. Li, A. Tsangrassoulis, S. Attia, Analysis of the impact of automatic shading control scenarios on occupant’s comfort and energy load. Applied Energy, 294, 2021: 116904.
https://doi.org/10.1016/j.apenergy.2021.116904
[8] N. Gentile, E.S. Lee, W. Osterhaus, S. Altomonte, C.N.D. Amorim, G. Ciampi, V. Garcia-Hansen, M. Maskarenj, M. Scorpio, S. Sibilio, Evaluation of integrated daylighting and electric lighting design projects: Lessons learned from international case studies. Energy and Buildings, 268, 2022: 112191.
https://doi.org/10.1016/j.enbuild.2022.112191
[9] A. Guillemin, N. Morel, An innovative lighting controller integrated in a self-adaptive building control system. Energy and Buildings, 33(5), 2001: 477-487. https://doi.org/10.1016/S0378-7788(00)00100-6
[10] B. Sun, P.B. Luh, Q.S. Jia, Z. Jiang, F. Wang, C. Song, Building energy management: Integrated control of active and passive heating, cooling, lighting, shading, and ventilation systems. IEEE Transactions on automation science and engineering, 10(3), 2012: 588-602. https://doi.org/10.1109/TASE.2012.2205567
[11] S. Yang, M.P. Wan, B.F. Ng, S. Dubey, G.P. Henze, W. Chen, K. Baskaran, Model predictive control for integrated control of air- conditioning and mechanical ventilation, lighting and shading systems. Applied Energy, 297, 2021: 117112. https://doi.org/10.1016/j.apenergy.2021.117112
[12] A. Tzempelikos, A.K. Athienitis, The effect of shading design and control on building cooling demand. International Conference on Passive and Low Energy Cooling for the Built Environment 2005 (ICPLECBE 2005), May 2005, Santorini, Greece, pp.953-958.
[13] R. Shan, Optimization for heating, cooling and lighting load in building facade design. Energy Procedia, 57, 2014: 1716-1725. https://doi.org/10.1016/j.egypro.2014.10.142
[14] Y. Ding, X. Ma, S. Wei, W. Chen, A prediction model coupling occupant lighting and shading behaviors in private offices. Energy and Buildings, 216, 2020: 109939. https://doi.org/10.1016/j.enbuild.2020.109939
[15] J. Xie, A. O. Sawyer, Simulation-assisted data-driven method for glare control with automated shading systems in office buildings. Building and Environment, 196, 2021: 107801.
https://doi.org/10.1016/j.buildenv.2021.107801
[16] G. Bayram, Z.T. Kazanasmaz, Simulation-based retrofitting of an educational building in terms of optimum shading device and energy efficient artificial lighting criteria. Light and Engineering, 24(2), 2016: 45-55. http://hdl.handle.net/11147/5946
[17] N. Sun, Y. Cui, Y. Jiang, S. Ii, Lighting and ventilation-based building sun-shading design and simulation case in cold regions. Energy Procedia, 152, 2018: 462-469. https://doi.org/10.1016/j.egypro.2018.09.254
[18] S. Heidarzadeh, M. Mahdavinejad, F. Habib, External shading and its effect on the energy efficiency of Tehran’s office buildings. Environmental Progress & Sustainable Energy, 2023: e14185.
https://doi.org/10.1002/ep.14185
[19] M.C. Di Vincenzo, D. Kesten, D. Infield, Assessment of performance of building shading device with integrated photovoltaics in different urban scenarios. International Conference on Sustainable Energy Technologies 2010 (ICSET 2010), 6th December 2010, Kandy, Sri Lanka, pp.1-5.
[20] S. Safranek, B. Abboushi, The Impact of Circadian Lighting Design Strategies on Lighting and Cooling Energy of an Office Space. Technical Report, PNNL-33424, United States, 2023.
https://doi.org/10.2172/1971617
[21] M. Krarti, Optimal energy performance of dynamic sliding and insulated shades for residential buildings. Energy, 263(Part B), 2023: 125699. https://doi.org/10.1016/j.energy.2022.125699
[22] M.C. Pinto, G. Crespi, F. Dell’Anna, C. Becchio, Combining energy dynamic simulation and multi-criteria analysis for supporting investment decisions on smart shading devices in office buildings. Applied Energy, 332, 2023: 120470. https://doi.org/10.1016/j.apenergy.2022.120470
[23] N. Jamala, B. Hamzah, R. Mulyadi, I. Cahyani, The Architectural Design of Building Façade Models Related to Optimizing Daylight Distribution. Journal of Daylighting, 10(1), 2023: 60-71.
https://dx.doi.org/10.15627/jd.2023.5
[24] S. Song, J. Long, H. Jiang, B. Ran, L. Yao, Characteristics of office lighting energy consumption and its impact on air conditioning energy consumption. Energy and Built Environment, 2023.
https://doi.org/10.1016/j.enbenv.2023.04.003
[25] G. Dev, A. Saifudeen, Dynamic facade control systems for optimal daylighting, a case of Kerala. Sustainability Analytics and Modeling, 3, 2023: 100018. https://doi.org/10.1016/j.samod.2023.100018
[26] H. Sarmadi, M. Mahdavinejad, A designerly approach to Algae-based large open office curtain wall Façades to integrated visual comfort and daylight efficiency. Solar Energy, 251, 2023: 350-365.
https://doi.org/10.1016/j.solener.2023.01.021
© 2023 by the authors. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 10
Number 1
March 2025
Last Edition
Volume 10
Number 1
March 2025
How to Cite
A. Nešović, S. Djurović, D. Cvetković, M. Marašević, Building Density Impact on Final Energy Consumption for Artificial and Automatic Lighting Control System in the Sports Hall – Numerical Case Study Analysis. Applied Engineering Letters, 8(3), 2023: 101–110.
https://doi.org/10.18485/aeletters.2023.8.3.2
More Citation Formats
Nešović, A., Djurović, S., Cvetković, D. & Marašević, M. (2023). Building Density Impact on Final Energy Consumption for Artificial and Automatic Lighting Control System in the Sports Hall — Numerical Case Study Analysis. Applied Engineering Letters, 8(3), 101–110. https://doi.org/10.18485/aeletters.2023.8.3.2
Aleksandar Nešović, et al. “Building Density Impact on Final Energy Consumption for Artificial and Automatic Lighting Control System in the Sports Hall — Numerical Case Study Analysis.” Applied Engineering Letters, vol. 8, no. 3, 2023, pp. 101–10, https://doi.org/10.18485/aeletters.2023.8.3.2.
Aleksandar Nešović, Siniša Djurović, Dragan Cvetković, and Miljan Marašević. 2023. “Building Density Impact on Final Energy Consumption for Artificial and Automatic Lighting Control System in the Sports Hall — Numerical Case Study Analysis.” Applied Engineering Letters 8 (3): 101–10. https://doi.org/10.18485/aeletters.2023.8.3.2.
Nešović, A., Djurović, S., Cvetković, D. and Marašević, M.(2023). Building Density Impact on Final Energy Consumption for Artificial and Automatic Lighting Control System in the Sports Hall — Numerical Case Study Analysis. Applied Engineering Letters, 8(3), pp.101–110. doi: 10.18485/aeletters.2023.8.3.2.