2020
DOI: 10.1016/j.enbuild.2019.109577
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A high-temporal resolution residential building occupancy model to generate high-temporal resolution heating load profiles of occupancy-integrated archetypes

Abstract: A strong correlation exists between occupant behaviour and space heating energy use. In particular, the occupancy status (e.g., daytime absence) is known to have a significant influence on residential heating load profiles, as well as on cumulative heating energy consumption. In the literature, many occupancy models have been utilised to predict occupancy profiles of individual dwellings as part of the larger residential building stock. However, none of the existing models consider diversity associated with oc… Show more

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Cited by 25 publications
(10 citation statements)
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References 29 publications
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“…One aspect that affects energy consumption is the behavior and habits of the inhabitants/users ( Buttitta and Finn, 2020 , Csoknyai, Legardeur, Akle and Horváth, 2019 ). We defined three occupancy profiles to evaluate the effect of the COVID-19 pandemic on the energy demand of the residential users.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…One aspect that affects energy consumption is the behavior and habits of the inhabitants/users ( Buttitta and Finn, 2020 , Csoknyai, Legardeur, Akle and Horváth, 2019 ). We defined three occupancy profiles to evaluate the effect of the COVID-19 pandemic on the energy demand of the residential users.…”
Section: Methodsmentioning
confidence: 99%
“…There is a close correlation between the occupants’ behavior and energy demand in buildings ( Ahn and Park, 2016 ). The occupancy profiles of buildings play a crucial role in energy consumption ( Buttitta and Finn, 2020 , Motuzienė et al, 2022 ). Human behavior, different occupancy densities, and variations in thermal and lighting preferences contribute significantly to the gap between simulated and real energy performance in buildings ( Martinaitis, Zavadskas, Motuzienė and Vilutienė, 2015 , Dong et al, 2021 , Wu et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…Time-Use Survey: A Stochastic Approach. A behavioral data-base of people with the appropriate resolution, which is created by the government in different countries in the form of a time-use survey, is required for stochastic behavioral modeling [24]. The model of Walker and Pokoski [25] in 2014 and 2015 is according to Table 5.…”
Section: Determining the Presence Of People In The Building Usingmentioning
confidence: 99%
“…For more details on the state-of-the-art in short term predictions of occupancy in commercial buildings, the reader is referred to Li and Dong [67]. For residential buildings, the occupancy trends are more stochastic and random and the assumption of a constant schedule is less justifiable [162]. Kleiminger et al [68] provides a comparative review of forecasting approaches for household occupancy using past records of the occupancy state.…”
Section: Forecasts Usedmentioning
confidence: 99%