Methods for predicting future energy demands to assess energy system resilience

David P Jenkins; Sandhya Patidar; Sophie Ann Simpson

Methods for predicting future energy demands to assess energy system resilience

David P Jenkins, Sandhya Patidar, Sophie Ann Simpson

Research output: Contribution to conference › Paper › peer-review

Abstract

This study overviews the preliminary energy demand work of the Adaptation and Resilience in Energy Systems (ARIES) project. A technique is proposed that uses a combination of real domestic electrical demands and synthesised profiles to construct a multi-building electrical profile that accounts for household diversity in energy use. This can then be used as a foundation for applying new technologies and future climate scenarios to individual demand profiles, and subsequently estimate the effect this will have on larger scale demand profiles (for larger sections of the building stock). The paper focuses on domestic electrical demands, but work is planned for the non-domestic sector and also incorporating thermal demands (and gas usage).

Original language	English
Publication status	Published - Nov 2012
Event	1st International Conference on Urban Sustainability and Resilience - University College London, London, United Kingdom Duration: 5 Nov 2012 → 6 Nov 2012 http://www.usar-conference-2012.org/

Conference

Conference	1st International Conference on Urban Sustainability and Resilience
Country	United Kingdom
City	London
Period	5/11/12 → 6/11/12
Internet address	http://www.usar-conference-2012.org/

Access to Document

https://www.researchgate.net/publication/272790897_METHODS_FOR_PREDICTING_FUTURE_ENERGY_DEMANDS_TO_ASSESS_ENERGY_SYSTEM_RESILIENCE

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Jenkins, D. P., Patidar, S., & Simpson, S. A. (2012). Methods for predicting future energy demands to assess energy system resilience. Paper presented at 1st International Conference on Urban Sustainability and Resilience, London, United Kingdom. https://www.researchgate.net/publication/272790897_METHODS_FOR_PREDICTING_FUTURE_ENERGY_DEMANDS_TO_ASSESS_ENERGY_SYSTEM_RESILIENCE

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title = "Methods for predicting future energy demands to assess energy system resilience",

abstract = "This study overviews the preliminary energy demand work of the Adaptation and Resilience in Energy Systems (ARIES) project. A technique is proposed that uses a combination of real domestic electrical demands and synthesised profiles to construct a multi-building electrical profile that accounts for household diversity in energy use. This can then be used as a foundation for applying new technologies and future climate scenarios to individual demand profiles, and subsequently estimate the effect this will have on larger scale demand profiles (for larger sections of the building stock). The paper focuses on domestic electrical demands, but work is planned for the non-domestic sector and also incorporating thermal demands (and gas usage).",

author = "Jenkins, {David P} and Sandhya Patidar and Simpson, {Sophie Ann}",

year = "2012",

month = nov,

language = "English",

note = "1st International Conference on Urban Sustainability and Resilience ; Conference date: 05-11-2012 Through 06-11-2012",

url = "http://www.usar-conference-2012.org/",

}

Jenkins, DP , Patidar, S & Simpson, SA 2012, 'Methods for predicting future energy demands to assess energy system resilience', Paper presented at 1st International Conference on Urban Sustainability and Resilience, London, United Kingdom, 5/11/12 - 6/11/12. <https://www.researchgate.net/publication/272790897_METHODS_FOR_PREDICTING_FUTURE_ENERGY_DEMANDS_TO_ASSESS_ENERGY_SYSTEM_RESILIENCE>

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T1 - Methods for predicting future energy demands to assess energy system resilience

AU - Jenkins, David P

AU - Patidar, Sandhya

AU - Simpson, Sophie Ann

PY - 2012/11

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N2 - This study overviews the preliminary energy demand work of the Adaptation and Resilience in Energy Systems (ARIES) project. A technique is proposed that uses a combination of real domestic electrical demands and synthesised profiles to construct a multi-building electrical profile that accounts for household diversity in energy use. This can then be used as a foundation for applying new technologies and future climate scenarios to individual demand profiles, and subsequently estimate the effect this will have on larger scale demand profiles (for larger sections of the building stock). The paper focuses on domestic electrical demands, but work is planned for the non-domestic sector and also incorporating thermal demands (and gas usage).

AB - This study overviews the preliminary energy demand work of the Adaptation and Resilience in Energy Systems (ARIES) project. A technique is proposed that uses a combination of real domestic electrical demands and synthesised profiles to construct a multi-building electrical profile that accounts for household diversity in energy use. This can then be used as a foundation for applying new technologies and future climate scenarios to individual demand profiles, and subsequently estimate the effect this will have on larger scale demand profiles (for larger sections of the building stock). The paper focuses on domestic electrical demands, but work is planned for the non-domestic sector and also incorporating thermal demands (and gas usage).

M3 - Paper

T2 - 1st International Conference on Urban Sustainability and Resilience

Y2 - 5 November 2012 through 6 November 2012

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