Smart Scheduling of Household Appliances to Decarbonise Domestic Energy Consumption

Stacpoole, Kitty; Sun, Hongjian; Jiang, Jing

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, December). Smart Scheduling of Household Appliances to Decarbonise Domestic Energy Consumption. Presented at 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops)., Changchun, China

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops).
• End Date: Aug 13, 2019
• Acceptance Date: Jun 25, 2019
• Publication Date: Jan 1, 2019
• Deposit Date: Jun 25, 2019
• Publicly Available Date: Sep 18, 2019
• 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
• Public URL: https://durham-repository.worktribe.com/output/1142605