IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i21p7056-d667022.html
   My bibliography  Save this article

Simulating the Impact of Daytime Calibration in the Behavior of a Closed Loop Proportional Lighting Control System

Author

Listed:
  • Aris Tsangrassoulis

    (Department of Architecture, University of Thessaly, Pedion Areos, 38334 Volos, Greece)

  • Lambros Doulos

    (School of Applied Arts and Sustainable Design, Hellenic Open University, Parodos Aristotelous 18, 26335 Patras, Greece)

  • Angelos Mylonas

    (Department of Architecture, University of Thessaly, Pedion Areos, 38334 Volos, Greece)

Abstract

A daylighting control system that uses the closed loop proportional algorithm needs to be calibrated both during nighttime and daytime. The selection of the daytime calibration time can affect the behavior of the system and is usually performed when the ratio of the illuminance of the ceiling sensor ( S D , tc ) to the illuminance at a point on the working plane ( E D , tc ) is relatively large without sunlight patches in the ceiling photo-sensor’s field of view (FOV). However, this requirement is not associated with a specific value and can be achieved under a wide range of conditions related to the sky luminance distribution. In the present work, four ceiling sensors with different field of views (FOVs) were examined in a typical north-facing office space. The effect of daytime calibration on the system’s performance was estimated through the calculation of lighting energy savings and the overdimming percentage. The results show that the effect of both the FOV of the ceiling sensor and the daytime calibration period is small except for the case of the sensor without cover, especially when it is close to the opening. In an attempt to quantify the S Dtc / I Dtc ratio, a new magnitude ( RR ) is proposed by dividing the illuminance ratios of the ceiling photo-sensor by that on the working surface during daytime and nighttime calibration. Thus, the daily calibration of the sensors with cover can be performed when RR > 1.

Suggested Citation

  • Aris Tsangrassoulis & Lambros Doulos & Angelos Mylonas, 2021. "Simulating the Impact of Daytime Calibration in the Behavior of a Closed Loop Proportional Lighting Control System," Energies, MDPI, vol. 14(21), pages 1-22, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7056-:d:667022
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/21/7056/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/21/7056/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yu, Xu & Su, Yuehong, 2015. "Daylight availability assessment and its potential energy saving estimation –A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 494-503.
    2. Lambros T. Doulos & Aris Tsangrassoulis & Evangelos-Nikolaos Madias & Spyros Niavis & Antonios Kontadakis & Panagiotis A. Kontaxis & Vassiliki T. Kontargyri & Katerina Skalkou & Frangiskos Topalis & E, 2020. "Examining the Impact of Daylighting and the Corresponding Lighting Controls to the Users of Office Buildings," Energies, MDPI, vol. 13(15), pages 1-25, August.
    3. Beccali, M. & Bonomolo, M. & Ciulla, G. & Lo Brano, V., 2018. "Assessment of indoor illuminance and study on best photosensors' position for design and commissioning of Daylight Linked Control systems. A new method based on artificial neural networks," Energy, Elsevier, vol. 154(C), pages 466-476.
    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. Lambros T. Doulos & Aris Tsangrassoulis, 2022. "The Future of Interior Lighting Is Here," Sustainability, MDPI, vol. 14(12), pages 1-5, June.

    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. Bonomolo, Marina & Zizzo, Gaetano & Ferrari, Simone & Beccali, Marco & Guarino, Stefania, 2021. "Empirical BAC factors method application to two real case studies in South Italy," Energy, Elsevier, vol. 236(C).
    2. Sara Eriksson & Lovisa Waldenström & Max Tillberg & Magnus Österbring & Angela Sasic Kalagasidis, 2019. "Numerical Simulations and Empirical Data for the Evaluation of Daylight Factors in Existing Buildings in Sweden," Energies, MDPI, vol. 12(11), pages 1-24, June.
    3. Nataša Šprah & Mitja Košir, 2019. "Daylight Provision Requirements According to EN 17037 as a Restriction for Sustainable Urban Planning of Residential Developments," Sustainability, MDPI, vol. 12(1), pages 1-22, December.
    4. Jie Li & Qichao Ban & Xueming (Jimmy) Chen & Jiawei Yao, 2019. "Glazing Sizing in Large Atrium Buildings: A Perspective of Balancing Daylight Quantity and Visual Comfort," Energies, MDPI, vol. 12(4), pages 1-14, February.
    5. Qiu, Changyu & Yang, Hongxing, 2020. "Daylighting and overall energy performance of a novel semi-transparent photovoltaic vacuum glazing in different climate zones," Applied Energy, Elsevier, vol. 276(C).
    6. Evangelos-Nikolaos D. Madias & Lambros T. Doulos & Panagiotis A. Kontaxis & Frangiskos V. Topalis, 2022. "Multicriteria decision aid analysis for the optimum performance of an ambient light sensor: methodology and case study," Operational Research, Springer, vol. 22(2), pages 1333-1361, April.
    7. Wang, Chuyao & Ji, Jie & Yu, Bendong & Zhang, Chengyan & Ke, Wei & Wang, Jun, 2022. "Comprehensive investigation on the luminous and energy-saving performance of the double-skin ventilated window integrated with CdTe cells," Energy, Elsevier, vol. 238(PB).
    8. Qiu, Changyu & Yi, Yun Kyu & Wang, Meng & Yang, Hongxing, 2020. "Coupling an artificial neuron network daylighting model and building energy simulation for vacuum photovoltaic glazing," Applied Energy, Elsevier, vol. 263(C).
    9. Marcel Neberich & Frank Opferkuch, 2021. "Standardizing Melanopic Effects of Ocular Light for Ecological Lighting Design of Nonresidential Buildings—An Overview of Current Legislation and Accompanying Scientific Studies," Sustainability, MDPI, vol. 13(9), pages 1-23, May.
    10. Tarek M. Kamel & Amany Khalil & Mohammed M. Lakousha & Randa Khalil & Mohamed Hamdy, 2024. "Optimizing the View Percentage, Daylight Autonomy, Sunlight Exposure, and Energy Use: Data-Driven-Based Approach for Maximum Space Utilization in Residential Building Stock in Hot Climates," Energies, MDPI, vol. 17(3), pages 1-27, January.
    11. Bushra, Nayab, 2022. "A comprehensive analysis of parametric design approaches for solar integration with buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    12. Daniel Plörer & Sascha Hammes & Martin Hauer & Vincent van Karsbergen & Rainer Pfluger, 2021. "Control Strategies for Daylight and Artificial Lighting in Office Buildings—A Bibliometrically Assisted Review," Energies, MDPI, vol. 14(13), pages 1-18, June.
    13. Lin Yang & Sha Liu & Jiaqi Liu, 2021. "The Interaction Effect of Occupant Behavior-Related Factors in Office Buildings Based on the DNAS Theory," Sustainability, MDPI, vol. 13(6), pages 1-25, March.
    14. Košir, Mitja & Iglič, Nataša & Kunič, Roman, 2018. "Optimisation of heating, cooling and lighting energy performance of modular buildings in respect to location’s climatic specifics," Renewable Energy, Elsevier, vol. 129(PA), pages 527-539.
    15. Ye Liu & Wanjiang Wang & Zixiao Li & Junkang Song & Zhicheng Fang & Dongbing Pang & Yanhui Chen, 2023. "Daylighting Performance and Thermal Comfort Performance Analysis of West-Facing External Shading for School Office Buildings in Cold and Severe Cold Regions of China," Sustainability, MDPI, vol. 15(19), pages 1-27, October.
    16. Yingling Shi & Xinping Liu, 2019. "Research on the Literature of Green Building Based on the Web of Science: A Scientometric Analysis in CiteSpace (2002–2018)," Sustainability, MDPI, vol. 11(13), pages 1-22, July.
    17. Eltaweel, Ahmad & SU, Yuehong, 2017. "Parametric design and daylighting: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1086-1103.
    18. Tettey, Uniben Yao Ayikoe & Dodoo, Ambrose & Gustavsson, Leif, 2016. "Primary energy implications of different design strategies for an apartment building," Energy, Elsevier, vol. 104(C), pages 132-148.
    19. Simplice Igor Noubissie Tientcheu & Shyama P. Chowdhury & Thomas O. Olwal, 2019. "Intelligent Energy Management Strategy for Automated Office Buildings," Energies, MDPI, vol. 12(22), pages 1-27, November.
    20. Constantinos A. Balaras, 2022. "Building Energy Audits—Diagnosis and Retrofitting towards Decarbonization and Sustainable Cities," Energies, MDPI, vol. 15(6), pages 1-4, March.

    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:jeners:v:14:y:2021:i:21:p:7056-:d:667022. 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 (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.