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Smart Scheduling of Household Appliances to Decarbonise Domestic Energy Consumption

Stacpoole, Kitty; Sun, Hongjian; Jiang, Jing

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Authors

Kitty Stacpoole

Jing Jiang



Abstract

Demand side response (DSR) and the interconnectivity of smart technologies will be essential to transform and revolutionize the way consumers engage with the energy industry. The carbon intensity of electricity varies throughout the day as a result of emissions released during generation. These fluctuations in carbon intensity are predicted to increase due to increased penetration of variable generation sources. This paper proposes a novel insight into how reductions in domestic emissions can be achieved, through the scheduling of certain wet appliances to optimally manage low carbon electricity. An appliance detecting and scheduling algorithm is presented and results are generated using historic demand data, electricity generation and carbon intensity values. Reductions were achieved from the variations in grid carbon intensity and the availability of solar generation from a household photovoltaic (PV) supply.

Citation

Stacpoole, K., Sun, H., & Jiang, J. (2019). Smart Scheduling of Household Appliances to Decarbonise Domestic Energy Consumption. In IEEE/CIC International Conference on Communications in China Workshops 2019 ; proceedings (216-221). https://doi.org/10.1109/iccchinaw.2019.8849955

Conference Name 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops).
Conference Location Changchun, China
End Date Aug 13, 2019
Acceptance Date Jun 25, 2019
Publication Date Jan 1, 2019
Deposit Date Jun 25, 2019
Publicly Available Date Mar 29, 2024
Pages 216-221
Series ISSN 2474-9133
Book Title IEEE/CIC International Conference on Communications in China Workshops 2019 ; proceedings
DOI https://doi.org/10.1109/iccchinaw.2019.8849955

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Revised version © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.





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