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Engineering Modelling of Building Energy Consumption in Cities: Identifying Key Variables and Their Interactions with the Built Environment

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11624))

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Abstract

This paper focuses on a spatial domestic energy framework of sub-city areas in the United Kingdom using Newcastle upon Tyne as a case study. The framework estimates the energy end-use at the single dwelling level on three aggregate scales: district, neighbourhood and community. The framework uses two aggregation approaches, one using an approximated prototype-cluster of similar dwellings at the district scale and the other using a novel, sub-city DEM modelling of building and its micro-cohesive energy structures in neighbourhoods and communities. The validation strategy compare the modelled gas and electricity values in three representative districts against the DECC values in two aggregate hierarchical areas for electricity and gas: the DECC Medium Layer Super Output Area (MLSOA), and the Lower Layer Super Output Area (LLSOA). Our work discusses this framework in key areas: the availability of data, the number of surveyed variables and data processing methods for filling blanks in order to have an individual dwelling’s complete energy Standard Assessment Procedure (SAP) profile, methods to provide evidence for finding patterns residing in the data set, methods for estimating the annual composite (gas and electricity) energy consumption for individual and aggregated dwellings, the validation strategy, the uncertainties associated in the data and model, and scaling and replication in other cities.

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Acknowledgement

We would also like to acknowledge the help we received from Newcastle City Council, who permitted me to use their data sets (especially Adrian McLoughlin). This proved to be unique and invaluable for this paper.

Author information

Authors and Affiliations

  1. School of Architecture Planning and Landscape, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK

    Javier Urquizo & Carlos Calderón

  2. School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK

    Philip James

  3. Escuela Superior Politécnica del Litoral, ESPOL, FIEC, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador

    Javier Urquizo

Authors
  1. Javier Urquizo
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  2. Carlos Calderón
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  3. Philip James
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Corresponding author

Correspondence to Javier Urquizo .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Saint Petersburg State University, Saint Petersburg, Russia

    Vladimir Korkhov

  6. Polytechnic University of Bari, Bari, Italy

    Carmelo Torre

  7. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  8. Monash University, Clayton, VIC, Australia

    David Taniar

  9. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  10. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

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Urquizo, J., Calderón, C., James, P. (2019). Engineering Modelling of Building Energy Consumption in Cities: Identifying Key Variables and Their Interactions with the Built Environment. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11624. Springer, Cham. https://doi.org/10.1007/978-3-030-24311-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-24311-1_1

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