Application of IoT and BEMS to Visualise the Environmental Performance of an Educational Building

HOSSAIN, Mohataz, WENG, Zhenzhou, SCHIANO-PHAN, Rosa, SCOTT, David and LAU, Benson (2020). Application of IoT and BEMS to Visualise the Environmental Performance of an Educational Building. Energies, 13 (15), p. 4009.

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    This paper presents the application of Internet of Things (IoT) Technology and Building Energy Management System (BEMS) within the Marylebone Campus of the University of Westminster, located in central London, to improve the environmental performance of the existing building as well as enhance the learning experience on energy and sustainability. Sixty IoT sensors connected to minicomputers were planned to be deployed within three floors of the building to continuously measure the real-time environmental parameters, such as dry-bulb temperature, relative humidity, illuminance level, carbon dioxide, and sound levels. Experimental workshops were also arranged with undergraduate and post-graduate students at their classrooms using IoT sensors, portable Bluetooth sensors and online questionnaires to increase awareness of the effect of environmental and behavioural changes on energy saving through real-time visualisation. Users’ subjective feedback on their workplace was also collected through Post Occupancy Evaluation (POE) questionnaire surveys. The results show the effectiveness of IoT systems and BEMS in supplying the building users and management with high-resolution, low-cost data acquisition systems highlighting the existing challenges and future scopes. The study also documents the process and the improvement in students’ awareness of environmental and energy performance of their building through IoT data visualizations and POE.

    Item Type: Article
    Uncontrolled Keywords: 02 Physical Sciences; 09 Engineering
    Identification Number:
    Page Range: p. 4009
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 04 Aug 2020 17:00
    Last Modified: 17 Mar 2021 23:48

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