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The Optimization of Visual Comfort and Energy Consumption Induced by Natural Light Based on PSO

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  • Yonggang Zhang

    (School of Information Science and Technology, Fudan University, Shanghai 200433, China
    Shanghai Institute of Intelligent Electronics & Systems, Shanghai 200433, China)

  • Yongwei Zhong

    (School of Information Science and Technology, Fudan University, Shanghai 200433, China
    Shanghai Institute of Intelligent Electronics & Systems, Shanghai 200433, China
    OnePlus Technology (Shenzhen) Co., Ltd., Shenzhen 518040, China)

  • Yingda Gong

    (School of Information Science and Technology, Fudan University, Shanghai 200433, China)

  • Lirong Zheng

    (School of Information Science and Technology, Fudan University, Shanghai 200433, China
    Shanghai Institute of Intelligent Electronics & Systems, Shanghai 200433, China)

Abstract

This paper presents the “model construction method”, an optimization method and industrial internet of things (IIoT) technology that is proposed for nearly zero energy buildings (nZEB), providing a comfortable visual environment by only utilizing natural light while improving its induced indoor air conditioner energy consumption (ACEC). The incident light is sampled by light sensors, and this data is sent to the cloud server. The visual comfort and indoor ACEC, both of which are induced by incident light, are combined as the optimization objective, and the area of windows covered by curtains is used as the optimal parameter in the particle swarm optimization (PSO). The visual comfort and indoor ACEC induced by incident light are modeled, and the construction method is independent of the geographical location. Five modes are defined for applications with different purposes, the performance of which are investigated and compared carefully. The result shows that natural light could provide comfortable visual comfort, while the ACEC induced by it could be reduced effectively.

Suggested Citation

  • Yonggang Zhang & Yongwei Zhong & Yingda Gong & Lirong Zheng, 2018. "The Optimization of Visual Comfort and Energy Consumption Induced by Natural Light Based on PSO," Sustainability, MDPI, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2018:i:1:p:49-:d:192386
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    References listed on IDEAS

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    1. Amir Faraji & Maria Rashidi & Fatemeh Rezaei & Payam Rahnamayiezekavat, 2023. "A Meta-Synthesis Review of Occupant Comfort Assessment in Buildings (2002–2022)," Sustainability, MDPI, vol. 15(5), pages 1-36, February.

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