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

Zahiri, Sahar, Elsharkawy, Heba and Shi, Wei (2018) The importance of occupancy and energy use patterns on predicting building energy performance : a case study of a residential building in London. In: 4th Building Simulation & Optimization Conference 2018 (IBPSA 2018); 11-12 Sep 2018, Cambridge, U.K..

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.

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