Smart Scheduling of Household Appliances to Decarbonise Domestic Energy Consumption

Stacpoole, Kitty, Sun, Hongjian and Jiang, Jing (2019) Smart Scheduling of Household Appliances to Decarbonise Domestic Energy Consumption. In: ICCC2019 - 8th IEEE/CIC International Conference on Communications in China, 11th - 13th August 2019, Changchun, China.

Stacpoole et al - Smart scheduling of household appliances to decarbonise domestic energy consumption AAM.pdf - Accepted Version

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Demand side response (DSR) and the inter-connectivity 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 real 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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Carbon dioxide, Carbon, Mathematical model, Washing machines, Arrays, Renewable energy sources
Subjects: H600 Electronic and Electrical Engineering
H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Paul Burns
Date Deposited: 18 Oct 2019 14:17
Last Modified: 01 Aug 2021 00:15

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