Natural ventilation in residential building archetypes: a stochastic approach based on occupant behaviour and thermal comfort

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Title: Natural ventilation in residential building archetypes: a stochastic approach based on occupant behaviour and thermal comfort
Authors: Neu, Olivier
Evon, Valentin
Oxizidis, Simeon
Flynn, Damian
Finn, Donal
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Date: 10-May-2014
Abstract: As houses become more energy efficient due to highly thermal resistant fabrics, the impact of natural ventilation on indoor comfort and on transient heating and cooling loads increases. These two constraints must be integrated within building performance simulation models when assessing the potential for electrical load shifting strategies in residential buildings placed in a smart grid environment. A natural ventilation model is developed and implemented for five residential building archetypes. A bottom-up methodology based on occupant behaviour, through the use of time-of-use data, is implemented at room level within EnergyPlus. A stochastic approach determines whether to open or close windows, depending on the occupancy state, the activity type and level, and the thermal comfort experienced. The algorithms proposed consider the main drivers governing window operation within a residential context. Focus is placed on the modelling challenges, and the impacts of the model are assessed using energy performance and thermal comfort.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: International Building Performance Simulation Association (IBPSA)
Keywords: Energy modelsBuilding energy simulationResidential sectorIreland
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Language: en
Status of Item: Not peer reviewed
Conference Details: IBPSA-Canada eSim Conference: Removing barriers to application of Building Performance Simulation in design practice, Ottawa, Canada, 07-10 May 2014
Appears in Collections:Mechanical & Materials Engineering Research Collection
ERC Research Collection
Electrical and Electronic Engineering Research Collection

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