The 1st EAI International Conference on Smart Grid Assisted Internet of Things

Research Article

Smart Home/Building Energy Management System for Future Smart Grid Architecture with Automated Demand Response Applications

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  • @INPROCEEDINGS{10.4108/eai.7-8-2017.152994,
        author={Z. W. Cheo and H. T. Yang and K. Kansala and K. Maatta and J. Rehu and W. L. Chen},
        title={Smart Home/Building Energy Management System for Future Smart Grid Architecture with Automated Demand Response Applications},
        proceedings={The 1st EAI International Conference on Smart Grid Assisted Internet of Things},
        publisher={EAI},
        proceedings_a={SGIOT},
        year={2017},
        month={8},
        keywords={Automatic demand response demand side management scheduling web-based user interface wireless sensors},
        doi={10.4108/eai.7-8-2017.152994}
    }
    
  • Z. W. Cheo
    H. T. Yang
    K. Kansala
    K. Maatta
    J. Rehu
    W. L. Chen
    Year: 2017
    Smart Home/Building Energy Management System for Future Smart Grid Architecture with Automated Demand Response Applications
    SGIOT
    EAI
    DOI: 10.4108/eai.7-8-2017.152994
Z. W. Cheo1,2,*, H. T. Yang1,2, K. Kansala3, K. Maatta3, J. Rehu3, W. L. Chen4
  • 1: Department of Electrical Engineering, National Cheng Kung University (NCKU),
  • 2: No. 1, University Rd, East District, Tainan City ,70101, Taiwan.
  • 3: VTT Technical Research Centre of Finland Ltd, P.O. Box 1100, FI-90571 Oulu, Finland.
  • 4: Smart Solution BU, Tatung Company, No. 22, Section 2, Zhongshan North Rd, Zhongshan District, Taipei City, 10435, Taiwan.
*Contact email: cheoziwei@gmail.com

Abstract

Abstract. A home/building energy management system (H/BEMS) is the fundamental unit for smart-grid development. This paper proposes a pilot project developed for smart H/BEMS, where the load (power consumption) can be scheduled, controlled, or optimized. The proposed energy management system (EMS) integrates the Virtual End Node (VEN) for OpenADR 2.0b Alliance platform such that demand-side management can be performed automatically according to the event issued from the Virtual Top Node (VTN). Wireless sensors using Bluetooth 4.0 (Bluetooth Low Energy, BLE) as the communication protocol are also developed and integrated in the EMS architecture. Finally, the developed EMS architecture has been implemented into 24 households with smart meter each installed in public housing in Taipei, Taiwan for testing and demonstration. Results show that the proposed EMS has successfully reduced the power consumption of a household averaged about 12.62% for the past 12 months.