Smart scheduling of household appliances to decarbonise domestic energy consumption

Kitty Stacpoole, Hongjian SUN, Jing Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Downloads (Pure)

Abstract

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.
Original languageEnglish
Title of host publication2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops)
PublisherIEEE
Pages216-221
Number of pages6
ISBN (Electronic)9781728107387, 9781728107370
ISBN (Print)9781728107394
DOIs
Publication statusE-pub ahead of print - 26 Sep 2019
Event8th IEEE/CIC International Conference on Communications in China - Changchun, China
Duration: 11 Aug 201913 Aug 2019
https://iccc2019.ieee-iccc.org/

Conference

Conference8th IEEE/CIC International Conference on Communications in China
Abbreviated titleICCC2019
Country/TerritoryChina
CityChangchun
Period11/08/1913/08/19
Internet address

Fingerprint

Dive into the research topics of 'Smart scheduling of household appliances to decarbonise domestic energy consumption'. Together they form a unique fingerprint.

Cite this