Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Smart scheduling of household appliances to decarbonise domestic energy consumption.

Stacpoole, Kitty and Sun, Hongjian and Jiang, Jing (2019) 'Smart scheduling of household appliances to decarbonise domestic energy consumption.', in IEEE/CIC International Conference on Communications in China Workshops 2019 ; proceedings. , pp. 216-221.

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.

Item Type:Book chapter
Full text:Publisher-imposed embargo
(AM) Accepted Manuscript
File format - PDF
(351Kb)
Full text:(AM) Accepted Manuscript
Download PDF (Revised version)
(335Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1109/ICCChinaW.2019.8849955
Publisher statement:© 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.
Date accepted:25 June 2019
Date deposited:25 June 2019
Date of first online publication:2019
Date first made open access:18 September 2019

Save or Share this output

Export:
Export
Look up in GoogleScholar