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Authors: M. Sabegh and C. Bingham

Affiliation: School of Engineering, The University of Lincoln, Brayford Pool, Lincoln, U.K.

Keyword(s): Internet of Things (IoT), IP-based Synchronized Wireless Mesh Network, Model Predictive Control (MPC), Smart Home.

Abstract: The paper proposes an IoT controlled platform to remotely monitor and control appliances in the residential sector. An IP-based synchronized wireless mesh network is implemented through IoT hardware (based on a NodeMCU) and Google Sheets to monitor and schedule the operation of aggregated domestic refrigerators under a Model Predictive Control (MPC) scheme. Benefits afforded by the proposed technique are investigated through experimental trials from VonShef 13/291 (50W), iGENIX IG 3920 (55W) and Russell Hobbs RHCLRF17B (50W) domestic refrigerators sited in three different domestic locations in the city of Lincoln, UK. Results demonstrate the ability to monitor and control widely distributed networks of refrigerators and adaptively schedule the appliances to reduce peak operational loads and facilitate Demand Side Response (DSR). Further widespread expansion of the proposed technique would allow for a rapidly deployed regional DSR strategy to aid grid stability. Ultimately the underly ing principles also could be used for the co-ordinated scheduling of other distributed appliances and equipment, both domestic and industrial. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Sabegh, M. and Bingham, C. (2021). Synchronised Power Scheduling of Widely Distributed Refrigerators using IoT. In Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS, ISBN 978-989-758-512-8; ISSN 2184-4968, pages 89-93. DOI: 10.5220/0010401200890093

@conference{smartgreens21,
author={M. Sabegh. and C. Bingham.},
title={Synchronised Power Scheduling of Widely Distributed Refrigerators using IoT},
booktitle={Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS,},
year={2021},
pages={89-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010401200890093},
isbn={978-989-758-512-8},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS,
TI - Synchronised Power Scheduling of Widely Distributed Refrigerators using IoT
SN - 978-989-758-512-8
IS - 2184-4968
AU - Sabegh, M.
AU - Bingham, C.
PY - 2021
SP - 89
EP - 93
DO - 10.5220/0010401200890093