IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i21p15591-d1273555.html
   My bibliography  Save this article

Characteristics and Reasons of Manual Shade Use in a Green Office Building: A Questionnaire Based Study

Author

Listed:
  • Jinyu Yuan

    (Department of Civil Engineering, Ningbo University, Ningbo 315211, China)

  • Jian Yao

    (Department of Architecture, Ningbo University, Ningbo 315211, China)

  • Rongyue Zheng

    (Department of Civil Engineering, Ningbo University, Ningbo 315211, China)

Abstract

The manual operation of manual shades plays a significant role in actual building performance. The characteristics of the use of shade and the reasons behind it in a green office building in China have been investigated in this paper. A questionnaire survey with 23 questions was designed and a total of 146 occupants in an office building were invited to take part in the survey. Statistical tests and approaches including non-parametric correlation, cross-tabulation, correspondence analysis and clustering were used to identify shade use patterns and their relation with contextual factors. The results show that sitting closer to windows does not necessarily increase shade actions and most shade raise occurs upon arrival and in the morning while most shade-lowering actions appear at noon and in the afternoon. Two and six clusters were revealed by clustering, respectively, for the time of raising and lowering actions. Regarding the relationship between raising and lowering time, three behavior patterns were identified by correspondence analysis. The first group of occupants typically raise the shades upon arrival or in the morning and lower them in the afternoon. The second group has a tendency to lower the shades upon arrival or in the morning and raise them at noon. The last group often raises the shades upon arrival, lowers them at noon or departure, and occasionally raises them again at departure. Given the current situation of light and shade use, daylight, occupancy and shade-based lighting control have the potential for reducing the lighting energy.

Suggested Citation

  • Jinyu Yuan & Jian Yao & Rongyue Zheng, 2023. "Characteristics and Reasons of Manual Shade Use in a Green Office Building: A Questionnaire Based Study," Sustainability, MDPI, vol. 15(21), pages 1-23, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15591-:d:1273555
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/21/15591/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/21/15591/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yao, Jian, 2014. "Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis," Applied Energy, Elsevier, vol. 127(C), pages 64-80.
    Full references (including those not matched with items on IDEAS)

    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. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    2. Jian Yao & David Hou Chi Chow & Yu-Wei Chi, 2016. "Impact of Manually Controlled Solar Shades on Indoor Visual Comfort," Sustainability, MDPI, vol. 8(8), pages 1-19, July.
    3. Fabrizio Ascione & Nicola Bianco & Rosa Francesca De Masi & Gerardo Maria Mauro & Giuseppe Peter Vanoli, 2015. "Design of the Building Envelope: A Novel Multi-Objective Approach for the Optimization of Energy Performance and Thermal Comfort," Sustainability, MDPI, vol. 7(8), pages 1-28, August.
    4. Achini Shanika Weerasinghe & Eziaku Onyeizu Rasheed & James Olabode Bamidele Rotimi, 2023. "Occupants’ Decision-Making of Their Energy Behaviours in Office Environments: A Case of New Zealand," Sustainability, MDPI, vol. 15(3), pages 1-27, January.
    5. Abdelhak Kharbouch & Soukayna Berrabah & Mohamed Bakhouya & Jaafar Gaber & Driss El Ouadghiri & Samir Idrissi Kaitouni, 2022. "Experimental and Co-Simulation Performance Evaluation of an Earth-to-Air Heat Exchanger System Integrated into a Smart Building," Energies, MDPI, vol. 15(15), pages 1-22, July.
    6. Zhouchen Zhang & Jian Yao & Rongyue Zheng, 2024. "Multi-Objective Optimization of Building Energy Saving Based on the Randomness of Energy-Related Occupant Behavior," Sustainability, MDPI, vol. 16(5), pages 1-20, February.
    7. Ascione, Fabrizio & Böttcher, Olaf & Kaltenbrunner, Robert & Vanoli, Giuseppe Peter, 2017. "Methodology of the cost-optimality for improving the indoor thermal environment during the warm season. Presentation of the method and application to a new multi-storey building in Berlin," Applied Energy, Elsevier, vol. 185(P2), pages 1529-1541.
    8. Joan Manuel Felix Benitez & Luis Alfonso del Portillo-Valdés & Rene Pérez & David Sosa, 2022. "Methodology to Determine Energy Efficiency Strategies in Buildings Sited in Tropical Climatic Zones; Case Study, Buildings of the Tertiary Sector in the Dominican Republic," Energies, MDPI, vol. 15(13), pages 1-31, June.
    9. D’Oca, Simona & Hong, Tianzhen & Langevin, Jared, 2018. "The human dimensions of energy use in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 731-742.
    10. Cristina Carletti & Fabio Sciurpi & Leone Pierangioli, 2014. "The Energy Upgrading of Existing Buildings: Window and Shading Device Typologies for Energy Efficiency Refurbishment," Sustainability, MDPI, vol. 6(8), pages 1-24, August.
    11. Yao, Jian, 2020. "Uncertainty of building energy performance at spatio-temporal scales: A comparison of aggregated and disaggregated behavior models of solar shade control," Energy, Elsevier, vol. 195(C).
    12. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2015. "Effect of internal woven roller shade and glazing on the energy and daylighting performances of an office building in the cold climate of Shillong," Applied Energy, Elsevier, vol. 159(C), pages 317-333.
    13. Feng, Yayuan & Yao, Jian & Li, Zhonghao & Zheng, Rongyue, 2022. "Uncertainty prediction of energy consumption in buildings under stochastic shading adjustment," Energy, Elsevier, vol. 254(PA).
    14. Ihara, Takeshi & Gao, Tao & Grynning, Steinar & Jelle, Bjørn Petter & Gustavsen, Arild, 2015. "Aerogel granulate glazing facades and their application potential from an energy saving perspective," Applied Energy, Elsevier, vol. 142(C), pages 179-191.
    15. Wang, C. & Zhu, Y. & Qu, J. & Hu, H.D., 2018. "Automatic air temperature control in a container with an optic-variable wall," Applied Energy, Elsevier, vol. 224(C), pages 671-681.
    16. Tian, Wei & Heo, Yeonsook & de Wilde, Pieter & Li, Zhanyong & Yan, Da & Park, Cheol Soo & Feng, Xiaohang & Augenbroe, Godfried, 2018. "A review of uncertainty analysis in building energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 285-301.
    17. Agustín Castillo-Martínez & Antonio Peña-García, 2021. "Influence of Groves on Daylight Conditions and Visual Performance of Users of Urban Civil Infrastructures," Sustainability, MDPI, vol. 13(22), pages 1-9, November.
    18. Antonio Peña-García & Ferdinando Salata, 2020. "Indoor Lighting Customization Based on Effective Reflectance Coefficients: A Methodology to Optimize Visual Performance and Decrease Consumption in Educative Workplaces," Sustainability, MDPI, vol. 13(1), pages 1-13, December.
    19. Jian Yao & Rongyue Zheng, 2019. "Uncertainty of Energy and Economic Performance of Manual Solar Shades in Hot Summer and Cold Winter Regions of China," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    20. Jian Yao & Rongyue Zheng, 2017. "Stochastic Characteristics of Manual Solar Shades and their Influence on Building Energy Performance," Sustainability, MDPI, vol. 9(6), pages 1-15, June.

    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:15:y:2023:i:21:p:15591-:d:1273555. 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.