Idioma:

Agent-Based Modeling of Occupants and Their Impact on Energy Use in Commercial Buildings

Azar, Elie ; Menassa, Carol C

Journal of computing in civil engineering, 2012-07, Vol.26 (4), p.506-518 [Periódico revisado por pares]

Reston, VA: American Society of Civil Engineers

Texto completo disponível

Citações Citado por

Enviar para

Título:
Agent-Based Modeling of Occupants and Their Impact on Energy Use in Commercial Buildings
Autor: Azar, Elie ; Menassa, Carol C
Assuntos: Applied sciences ; Building technical equipments ; Buildings ; Buildings. Public works ; Commercial building ; Commercial buildings ; Computation methods. Tables. Charts ; Computer programs ; Constants ; Energy consumption ; Energy management and energy conservation in building ; Energy use ; Environmental engineering ; Exact sciences and technology ; Mathematical models ; Modelling ; Structural analysis. Stresses ; Technical Papers ; Types of buildings
É parte de: Journal of computing in civil engineering, 2012-07, Vol.26 (4), p.506-518
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: AbstractEnergy modeling is globally used during the design phase to estimate future building energy performance. Predictions obtained from common energy estimation software typically deviate from actual energy consumption levels. This discrepancy can mainly be attributed to the misrepresentation of the role that building occupants play in the energy estimation equation. Although occupants might have different and varying energy use characteristics over time, current energy estimation tools assume they are constant. This paper proposes a new agent-based approach to commercial building energy modeling by accounting for the diverse and dynamic energy consumption patterns among occupants, in addition to the potential changes in their energy use behavior attributable to their interactions with the building environment and with each other. The impact of an active modeling of occupancy is then illustrated in a case study of an office in a university building, where more than 25% variation in the predicted energy consumption was obtained when using the proposed method versus a traditional commonly used method with static occupancy parameters.
Editor: Reston, VA: American Society of Civil Engineers
Idioma: Inglês

Links

View record in Pascal Francis

Voltar para lista de resultados

Anterior Resultado 2 Avançar Ir para próxima página

Realização: Logos de Redes Sociais:

Agent-Based Modeling of Occupants and Their Impact on Energy Use in Commercial Buildings

Azar, Elie ; Menassa, Carol C

Reston, VA: American Society of Civil Engineers

Buscando em bases de dados remotas. Favor aguardar.