IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i11p4075-d181048.html

Feasibility Study and Impact of Daylight on Illumination Control for Energy-Saving Lighting Systems

Author

Listed:
  • Sulee Bunjongjit

    (Faculty of Engineering, Rajamangala University of Technology Rattanakosin, Nakhon Pathom 73170, Thailand)

  • Atthapol Ngaopitakkul

    (Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand)

Abstract

The main goal of energy conservation should be reducing the consumption of energy resources. Due to energy and environmental concerns in recent years, to reduce energy consumption in a lighting system, which has been one of the prime targets of energy saving, daylighting has been investigated and has become one of the energy-efficiency techniques widely applied in buildings. This paper presents an analysis of T5 fluorescent luminaire lighting control using daylight in a building. The study is conducted in two parts; simulation of a lecture room using the daylighting function of the DIALux program is performed to estimate the effect of daylighting on a task area (workplane). Another part is an experimental setup to evaluate the performance of a lighting control unit that is installed for a T5 fluorescent luminaire with a dimmable electronic ballast. The efficiency of the lighting control in term of illumination on the task area and energy consumption are also evaluated and compared with the standard case. The simulation results show that daylighting increases illuminance on a task area, especially on the window side, so the lighting system can significantly reduce its power consumption compared with a standard case (without lighting control). The experimental result shows that upon installing the lighting control with daylighting, both the average illuminance and the energy consumption in each time period are decreased compared with in the standard case. Lighting control with daylighting tries to set the average illuminance on a task area to less than 500 lux, corresponding to the amount of daylight passing through window shutters. The obtained results are useful for the design of a T5 fluorescent luminaire with lighting control using daylighting in a building lighting system for energy efficiency and reducing energy consumption, including the average illuminance on the task area, according to a relevant standard.

Suggested Citation

  • Sulee Bunjongjit & Atthapol Ngaopitakkul, 2018. "Feasibility Study and Impact of Daylight on Illumination Control for Energy-Saving Lighting Systems," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4075-:d:181048
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/11/4075/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/11/4075/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, Dasheng & Cheng, Chin-Chi, 2016. "Energy savings by energy management systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 760-777.
    2. Li, Danny H.W., 2010. "A review of daylight illuminance determinations and energy implications," Applied Energy, Elsevier, vol. 87(7), pages 2109-2118, July.
    3. Chandel, S.S. & Sharma, Aniket & Marwaha, Bhanu M., 2016. "Review of energy efficiency initiatives and regulations for residential buildings in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1443-1458.
    4. Acosta, Ignacio & Munoz, Carmen & Campano, Miguel Angel & Navarro, Jaime, 2015. "Analysis of daylight factors and energy saving allowed by windows under overcast sky conditions," Renewable Energy, Elsevier, vol. 77(C), pages 194-207.
    5. Ahn, Byung-Lip & Jang, Cheol-Yong & Leigh, Seung-Bok & Yoo, Seunghwan & Jeong, Hakgeun, 2014. "Effect of LED lighting on the cooling and heating loads in office buildings," Applied Energy, Elsevier, vol. 113(C), pages 1484-1489.
    6. Ozturk, Murat & Yuksel, Yunus Emre, 2016. "Energy structure of Turkey for sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1259-1272.
    7. Krarti, Moncef, 2015. "Evaluation of large scale building energy efficiency retrofit program in Kuwait," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1069-1080.
    8. Lay, Jann & Ondraczek, Janosch & Stoever, Jana, 2013. "Renewables in the energy transition: Evidence on solar home systems and lighting fuel choice in Kenya," Energy Economics, Elsevier, vol. 40(C), pages 350-359.
    9. Zhang, Wenjie & Liu, Shan & Li, Nianping & Xie, Hui & Li, Xuanqi, 2015. "Development forecast and technology roadmap analysis of renewable energy in buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 395-402.
    10. Kialashaki, Arash & Reisel, John R., 2013. "Modeling of the energy demand of the residential sector in the United States using regression models and artificial neural networks," Applied Energy, Elsevier, vol. 108(C), pages 271-280.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kashif Irshad & Abdulmohsen Almalawi & Asif Irshad Khan & Md Mottahir Alam & Md. Hasan Zahir & Amjad Ali, 2020. "An IoT-Based Thermoelectric Air Management Framework for Smart Building Applications: A Case Study for Tropical Climate," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    2. Uthpala Rathnayake & Denvid Lau & Cheuk Lun Chow, 2020. "Review on Energy and Fire Performance of Water Wall Systems as a Green Building Façade," Sustainability, MDPI, vol. 12(20), pages 1-27, October.
    3. Rui Zhang & Yalong Yang & Qiansheng Fang & Yufu Liu & Xulai Zhu & Mingyue Wang & Liangliang Su, 2020. "Effect of Indoors Artificial Lighting Conditions on Computer-Based Learning Performance," IJERPH, MDPI, vol. 17(7), pages 1-11, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Acosta, Ignacio & Campano, Miguel Ángel & Molina, Juan Francisco, 2016. "Window design in architecture: Analysis of energy savings for lighting and visual comfort in residential spaces," Applied Energy, Elsevier, vol. 168(C), pages 493-506.
    2. Salata, Ferdinando & Golasi, Iacopo & di Salvatore, Maicol & de Lieto Vollaro, Andrea, 2016. "Energy and reliability optimization of a system that combines daylighting and artificial sources. A case study carried out in academic buildings," Applied Energy, Elsevier, vol. 169(C), pages 250-266.
    3. In-Tae Kim & Yu-Sin Kim & Meeryoung Cho & Hyeonggon Nam & Anseop Choi & Taeyon Hwang, 2019. "High-Performance Accuracy of Daylight-Responsive Dimming Systems with Illuminance by Distant Luminaires for Energy-Saving Buildings," Energies, MDPI, vol. 12(4), pages 1-21, February.
    4. Das, Aparna & Paul, Saikat Kumar, 2015. "Artificial illumination during daytime in residential buildings: Factors, energy implications and future predictions," Applied Energy, Elsevier, vol. 158(C), pages 65-85.
    5. Mangkuto, R.A. & Wang, S. & Meerbeek, B.W. & Aries, M.B.C. & van Loenen, E.J., 2014. "Lighting performance and electrical energy consumption of a virtual window prototype," Applied Energy, Elsevier, vol. 135(C), pages 261-273.
    6. Păunescu Carmen & Blid Laura, 2016. "Effective energy planning for improving the enterprise’s energy performance," Management & Marketing, Paradigm, vol. 11(3), pages 512-531, September.
    7. Klege, Rebecca A. & Amuakwa-Mensah, Franklin & Visser, Martine, 2022. "Tenancy and energy choices in Rwanda. A replication and extension study," World Development Perspectives, Elsevier, vol. 26(C).
    8. Mardones, Cristian, 2021. "Ex-post evaluation and cost-benefit analysis of a heater replacement program implemented in southern Chile," Energy, Elsevier, vol. 227(C).
    9. Syed Hasan & Odmaa Narantungalag, & Martin Berka, 2022. "The intended and unintended consequences of large electricity subsidies: evidence from Mongolia," Discussion Papers 2202, School of Accountancy, Economics and Finance, Massey University, New Zealand.
    10. Elena Stefana & Paola Cocca & Filippo Marciano & Diana Rossi & Giuseppe Tomasoni, 2019. "A Review of Energy and Environmental Management Practices in Cast Iron Foundries to Increase Sustainability," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    11. Best, Rohan & Nibedita, Barsha & Nepal, Rabindra, 2024. "Energy transitions across household distributions in northern India," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 1151-1163.
    12. Chou, Jui-Sheng & Tran, Duc-Son, 2018. "Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders," Energy, Elsevier, vol. 165(PB), pages 709-726.
    13. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    14. Adamczyk, Janusz & Dylewski, Robert, 2017. "The impact of thermal insulation investments on sustainability in the construction sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 421-429.
    15. Acosta, Ignacio & Munoz, Carmen & Campano, Miguel Angel & Navarro, Jaime, 2015. "Analysis of daylight factors and energy saving allowed by windows under overcast sky conditions," Renewable Energy, Elsevier, vol. 77(C), pages 194-207.
    16. Li, Danny H.W. & Lou, Siwei, 2018. "Review of solar irradiance and daylight illuminance modeling and sky classification," Renewable Energy, Elsevier, vol. 126(C), pages 445-453.
    17. Lu, Hongwei & Li, Tingting & Li, Guojing & Luo, Qiyou & Gao, Mingjie, 2025. "Digital literacy and the rural cooking energy transition: Evidence from rural China," Energy Policy, Elsevier, vol. 198(C).
    18. Zeng, Sheng & Su, Bin & Zhang, Minglong & Gao, Yuan & Liu, Jun & Luo, Song & Tao, Qingmei, 2021. "Analysis and forecast of China's energy consumption structure," Energy Policy, Elsevier, vol. 159(C).
    19. Harrington, Elise & Athavankar, Ameya & Hsu, David, 2020. "Variation in rural household energy transitions for basic lighting in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    20. Bienvenido-Huertas, David & Moyano, Juan & Rodríguez-Jiménez, Carlos E. & Marín, David, 2019. "Applying an artificial neural network to assess thermal transmittance in walls by means of the thermometric method," Applied Energy, Elsevier, vol. 233, pages 1-14.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4075-:d:181048. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.