Demand-side characterisation of the smart city for energy modelling.

William J. N. Turner; Oliver Kinnane; Biswajit Basu

doi:10.1016/j.egypro.2014.12.377

Demand-side characterisation of the smart city for energy modelling.

William J. N. Turner, Oliver Kinnane, Biswajit Basu

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

17 Citations (Scopus)

210 Downloads (Pure)

Abstract

This paper presents a new methodology for characterising the energy performance of buildings suitable for city-scale, top-down energy modelling. Building properties that have the greatest impact on simulated energy performance were identified via a review of sensitivity analysis studies. The methodology greatly simplifies the description of a building to decrease labour and simulation processing overheads. The methodology will be used in the EU FP7 INDICATE project which aims to create a master-planning tool that uses dynamic simulation to facilitate the design of sustainable, energy efficient smart cities.

Original language	English
Title of host publication	Energy Procedia: 6th International Conference on Sustainability in Energy and Buildings, SEB-14
Publisher	Elsevier
Pages	160-169
Number of pages	10
Volume	62
ISBN (Print)	1876-6102
DOIs	https://doi.org/10.1016/j.egypro.2014.12.377
Publication status	Published - 26 Dec 2014
Event	6th International Conference on Sustainability in Energy and Buildings, SEB-14 - Cardiff, United Kingdom Duration: 25 May 2014 → 27 Jun 2014

Conference

Conference	6th International Conference on Sustainability in Energy and Buildings, SEB-14
Country/Territory	United Kingdom
City	Cardiff
Period	25/05/2014 → 27/06/2014

UN SDGs

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

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10.1016/j.egypro.2014.12.377

Demand-side characterization of the Smart City for energy modelling
© The Authors, 2014 This is an open access article published under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/3.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
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title = "Demand-side characterisation of the smart city for energy modelling.",

abstract = "This paper presents a new methodology for characterising the energy performance of buildings suitable for city-scale, top-down energy modelling. Building properties that have the greatest impact on simulated energy performance were identified via a review of sensitivity analysis studies. The methodology greatly simplifies the description of a building to decrease labour and simulation processing overheads. The methodology will be used in the EU FP7 INDICATE project which aims to create a master-planning tool that uses dynamic simulation to facilitate the design of sustainable, energy efficient smart cities.",

author = "Turner, {William J. N.} and Oliver Kinnane and Biswajit Basu",

year = "2014",

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language = "English",

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volume = "62",

pages = "160--169",

booktitle = "Energy Procedia: 6th International Conference on Sustainability in Energy and Buildings, SEB-14",

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note = "6th International Conference on Sustainability in Energy and Buildings, SEB-14 ; Conference date: 25-05-2014 Through 27-06-2014",

}

Turner, WJN, Kinnane, O & Basu, B 2014, Demand-side characterisation of the smart city for energy modelling. in Energy Procedia: 6th International Conference on Sustainability in Energy and Buildings, SEB-14. vol. 62, Elsevier, pp. 160-169, 6th International Conference on Sustainability in Energy and Buildings, SEB-14, Cardiff, United Kingdom, 25/05/2014. https://doi.org/10.1016/j.egypro.2014.12.377

TY - GEN

T1 - Demand-side characterisation of the smart city for energy modelling.

AU - Turner, William J. N.

AU - Kinnane, Oliver

AU - Basu, Biswajit

PY - 2014/12/26

Y1 - 2014/12/26

N2 - This paper presents a new methodology for characterising the energy performance of buildings suitable for city-scale, top-down energy modelling. Building properties that have the greatest impact on simulated energy performance were identified via a review of sensitivity analysis studies. The methodology greatly simplifies the description of a building to decrease labour and simulation processing overheads. The methodology will be used in the EU FP7 INDICATE project which aims to create a master-planning tool that uses dynamic simulation to facilitate the design of sustainable, energy efficient smart cities.

AB - This paper presents a new methodology for characterising the energy performance of buildings suitable for city-scale, top-down energy modelling. Building properties that have the greatest impact on simulated energy performance were identified via a review of sensitivity analysis studies. The methodology greatly simplifies the description of a building to decrease labour and simulation processing overheads. The methodology will be used in the EU FP7 INDICATE project which aims to create a master-planning tool that uses dynamic simulation to facilitate the design of sustainable, energy efficient smart cities.

U2 - 10.1016/j.egypro.2014.12.377

DO - 10.1016/j.egypro.2014.12.377

M3 - Conference contribution

SN - 1876-6102

VL - 62

SP - 160

EP - 169

BT - Energy Procedia: 6th International Conference on Sustainability in Energy and Buildings, SEB-14

PB - Elsevier

T2 - 6th International Conference on Sustainability in Energy and Buildings, SEB-14

Y2 - 25 May 2014 through 27 June 2014

ER -

Demand-side characterisation of the smart city for energy modelling.

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