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Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis

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  • Yao, Jian

Abstract

Solar shading devices play a significant role in reducing building energy consumption and maintaining a comfortable indoor condition. In this paper, a typical office building with internal roller shades in hot summer and cold winter zone was selected to determine the driving factor of control behavior of manual solar shades. Solar radiation was determined as the major factor in driving solar shading adjustment based on field measurements and logit analysis and then a stochastic model for manually adjusted solar shades was constructed by using Markov method. This model was used in BCVTB for further co-simulation with Energyplus to determine the impact of the control behavior of solar shades on energy performance. The results show that manually adjusted solar shades, whatever located inside or outside, have a relatively high energy saving performance than clear-pane windows while only external shades perform better than regularly used LOW-E windows. Simulation also indicates that using an ideal assumption of solar shade adjustment as most studies do in building simulation may lead to an overestimation of energy saving by about 16–30%. There is a need to improve occupants’ actions on shades to more effectively respond to outdoor conditions in order to lower energy consumption, and this improvement can be easily achieved by using simple strategies as a guide to control manual solar shades.

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  • 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.
    • Handle: RePEc:eee:appene:v:127:y:2014:i:c:p:64-80
    DOI: 10.1016/j.apenergy.2014.04.046
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    Cited by:

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    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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).

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