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 proceedingConference contribution

    12 Citations (Scopus)
    128 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 languageEnglish
    Title of host publicationEnergy Procedia: 6th International Conference on Sustainability in Energy and Buildings, SEB-14
    PublisherElsevier
    Pages160-169
    Number of pages10
    Volume62
    ISBN (Print)1876-6102
    DOIs
    Publication statusPublished - 26 Dec 2014
    Event6th International Conference on Sustainability in Energy and Buildings, SEB-14 - Cardiff, United Kingdom
    Duration: 25 May 201427 Jun 2014

    Conference

    Conference6th International Conference on Sustainability in Energy and Buildings, SEB-14
    CountryUnited Kingdom
    CityCardiff
    Period25/05/201427/06/2014

    Fingerprint

    Sensitivity analysis
    Personnel
    Planning
    Computer simulation
    Processing
    Smart city

    Cite this

    Turner, W. J. N., 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, pp. 160-169). Elsevier. https://doi.org/10.1016/j.egypro.2014.12.377
    Turner, William J. N. ; Kinnane, Oliver ; Basu, Biswajit. / Demand-side characterisation of the smart city for energy modelling. Energy Procedia: 6th International Conference on Sustainability in Energy and Buildings, SEB-14. Vol. 62 Elsevier, 2014. pp. 160-169
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    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.",
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    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

    Demand-side characterisation of the smart city for energy modelling. / Turner, William J. N.; Kinnane, Oliver; Basu, Biswajit.

    Energy Procedia: 6th International Conference on Sustainability in Energy and Buildings, SEB-14. Vol. 62 Elsevier, 2014. p. 160-169.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    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.

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

    PB - Elsevier

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    Turner WJN, Kinnane O, Basu B. 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. 2014. p. 160-169 https://doi.org/10.1016/j.egypro.2014.12.377