Smart scheduling of household appliances to decarbonise domestic energy consumption

Kitty Stacpoole; Hongjian Sun; Jing Jiang

doi:10.1109/ICCChinaW.2019.8849955

Smart scheduling of household appliances to decarbonise domestic energy consumption

Kitty Stacpoole, Hongjian Sun, Jing Jiang

Mathematics, Physics and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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 language	English
Title of host publication	2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops 2019)
Subtitle of host publication	Changchun, China 11 – 13 August 2019
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	216-221
Number of pages	6
ISBN (Electronic)	9781728107387, 9781728107370
ISBN (Print)	9781728107394
DOIs	https://doi.org/10.1109/ICCChinaW.2019.8849955
Publication status	Published - Aug 2019
Event	8th IEEE/CIC International Conference on Communications in China - Changchun, China Duration: 11 Aug 2019 → 13 Aug 2019 https://iccc2019.ieee-iccc.org/

Conference

Conference	8th IEEE/CIC International Conference on Communications in China
Abbreviated title	ICCC2019
Country/Territory	China
City	Changchun
Period	11/08/19 → 13/08/19
Internet address	https://iccc2019.ieee-iccc.org/

Keywords

Carbon dioxide
Carbon
Mathematical model
Washing machines
Arrays
Renewable energy sources

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICCChinaW.2019.8849955

Stacpoole et al - Smart scheduling of household appliances to decarbonise domestic energy consumption AAMAccepted author manuscript, 339 KB

http://dro.dur.ac.uk/28531/

Cite this

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title = "Smart scheduling of household appliances to decarbonise domestic energy consumption",

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.",

keywords = "Carbon dioxide, Carbon, Mathematical model, Washing machines, Arrays, Renewable energy sources",

author = "Kitty Stacpoole and Hongjian Sun and Jing Jiang",

note = "Funding Information: V. ACKNOWLEDGMENTS This work was supported by the European Regional Development Fund (ERDF) project “Solid Wall Insulation Innovation” (https://swiiproject.co.uk). The authors gratefully acknowledge Durham County Council and Durham Energy Institute for their strong and timely support. Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th IEEE/CIC International Conference on Communications in China, ICCC2019 ; Conference date: 11-08-2019 Through 13-08-2019",

year = "2019",

month = aug,

doi = "10.1109/ICCChinaW.2019.8849955",

language = "English",

isbn = "9781728107394",

pages = "216--221",

booktitle = "2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops 2019)",

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url = "https://iccc2019.ieee-iccc.org/",

}

Stacpoole, K, Sun, H & Jiang, J 2019, Smart scheduling of household appliances to decarbonise domestic energy consumption. in 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops 2019): Changchun, China 11 – 13 August 2019., 8849955, IEEE, Piscataway, NJ, pp. 216-221, 8th IEEE/CIC International Conference on Communications in China, Changchun, China, 11/08/19. https://doi.org/10.1109/ICCChinaW.2019.8849955

Smart scheduling of household appliances to decarbonise domestic energy consumption. / Stacpoole, Kitty; Sun, Hongjian; Jiang, Jing.
2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops 2019): Changchun, China 11 – 13 August 2019. Piscataway, NJ: IEEE, 2019. p. 216-221 8849955.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Smart scheduling of household appliances to decarbonise domestic energy consumption

AU - Stacpoole, Kitty

AU - Sun, Hongjian

AU - Jiang, Jing

N1 - Funding Information: V. ACKNOWLEDGMENTS This work was supported by the European Regional Development Fund (ERDF) project “Solid Wall Insulation Innovation” (https://swiiproject.co.uk). The authors gratefully acknowledge Durham County Council and Durham Energy Institute for their strong and timely support. Publisher Copyright: © 2019 IEEE.

PY - 2019/8

Y1 - 2019/8

N2 - 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.

AB - 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.

KW - Carbon dioxide

KW - Carbon

KW - Mathematical model

KW - Washing machines

KW - Arrays

KW - Renewable energy sources

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M3 - Conference contribution

SN - 9781728107394

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EP - 221

BT - 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops 2019)

PB - IEEE

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Y2 - 11 August 2019 through 13 August 2019

ER -

Smart scheduling of household appliances to decarbonise domestic energy consumption

Abstract

Conference

Keywords

UN SDGs

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