The importance of occupancy and energy use patterns on predicting building energy performance: a case study of a residential building in London

Sahar Zahiri; Heba Elsharkawy; Wei Shi

The importance of occupancy and energy use patterns on predicting building energy performance: a case study of a residential building in London

Sahar Zahiri
, Heba Elsharkawy
, Wei Shi

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

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Abstract

This paper studies a building energy performance of a council housing tower block in London, which was found to consume significant energy for heating. The aim of this study is to explore the impact of the occupancy and heating energy use schedules of the building units in predicting the building performance using DesignBuilder (DB) dynamic simulation tool. This study adopts a quantitative research design based on a survey questionnaire, and dynamic simulation modelling and analysis. The predicted building performance using the dominant occupancy and energy use profiles was compared against the simulation outputs using the approved benchmark methodologies. The results show that the building‘s physical issues including damp and mould, as well as the occupants‘ patterns of operating their homes have a considerable impact on the heating energy use in the winter season and demonstrate the importance of incorporating the exemplary occupancy and energy use schedules into the building simulation tools to predict feasible building performance.

Original language	English
Publication status	Published - Sept 2018
Event	4th Building Simulation & Optimization Conference 2018 (IBPSA 2018) - Cambridge, U.K. Duration: 11 Sept 2018 → 12 Sept 2018

Conference

Conference	4th Building Simulation & Optimization Conference 2018 (IBPSA 2018)
Period	11/09/18 → 12/09/18

Bibliographical note

Note: This work was supported by the British Council Newton Institutional Links Fund [grant number: 2015EGY01].

Published in Proceedings of BSO 2018 : 4th Building Simulation and Optimization Conference, Cambridge, UK: 11-12 September 2018, pp.665-671.

Keywords

Architecture and the built environment

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Elsharkawy-H-50422-VoRFinal published version, 1.54 MBLicence: Unspecified

http://www.ibpsa.org/proceedings/BSO2018/6C-3.pdf

The importance of occupancy and energy use patterns on predicting building energy performance: a case study of a residential building in London
Zahiri, S., Elsharkawy, H. & Shi, W., Sept 2018, This work was supported by the British Council Newton Institutional Links Fund [grant number: 2015EGY01]. Published in Proceedings of BSO 2018 : 4th Building Simulation and Optimization Conference, Cambridge, UK: 11-12 September 2018, pp.665-671..
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Cite this

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abstract = "This paper studies a building energy performance of a council housing tower block in London, which was found to consume significant energy for heating. The aim of this study is to explore the impact of the occupancy and heating energy use schedules of the building units in predicting the building performance using DesignBuilder (DB) dynamic simulation tool. This study adopts a quantitative research design based on a survey questionnaire, and dynamic simulation modelling and analysis. The predicted building performance using the dominant occupancy and energy use profiles was compared against the simulation outputs using the approved benchmark methodologies. The results show that the building{\textquoteleft}s physical issues including damp and mould, as well as the occupants{\textquoteleft} patterns of operating their homes have a considerable impact on the heating energy use in the winter season and demonstrate the importance of incorporating the exemplary occupancy and energy use schedules into the building simulation tools to predict feasible building performance.",

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note = "Note: This work was supported by the British Council Newton Institutional Links Fund [grant number: 2015EGY01]. Published in Proceedings of BSO 2018 : 4th Building Simulation and Optimization Conference, Cambridge, UK: 11-12 September 2018, pp.665-671.; 4th Building Simulation \& Optimization Conference 2018 (IBPSA 2018) ; Conference date: 11-09-2018 Through 12-09-2018",

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AB - This paper studies a building energy performance of a council housing tower block in London, which was found to consume significant energy for heating. The aim of this study is to explore the impact of the occupancy and heating energy use schedules of the building units in predicting the building performance using DesignBuilder (DB) dynamic simulation tool. This study adopts a quantitative research design based on a survey questionnaire, and dynamic simulation modelling and analysis. The predicted building performance using the dominant occupancy and energy use profiles was compared against the simulation outputs using the approved benchmark methodologies. The results show that the building‘s physical issues including damp and mould, as well as the occupants‘ patterns of operating their homes have a considerable impact on the heating energy use in the winter season and demonstrate the importance of incorporating the exemplary occupancy and energy use schedules into the building simulation tools to predict feasible building performance.

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The importance of occupancy and energy use patterns on predicting building energy performance: a case study of a residential building in London

Abstract

Conference

Bibliographical note

Keywords

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Research output

The importance of occupancy and energy use patterns on predicting building energy performance: a case study of a residential building in London

Cite this