Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Occupant-centric urban building energy modeling: Approaches, inputs, and data sources - A review
Graphical abstract Display Omitted
Highlights The occupancy modeling approaches with a particular focus on UBEM are discussed. Occupant-related inputs required for UBEM and the correlation between them are emphasized in the review. Challenges in accommodating the variations in occupancy at the urban scale are reviewed. Potential data sources for extracting building occupancy at urban scale are discussed. UML diagram and co-simulation required to represent occupancy are discussed.
Abstract Occupant-related inputs are significant parameters that influence energy simulation accuracy at both the building and urban levels. In most previous research works, fixed occupant schedules were used in urban-scale building energy modeling. The main reason is the lack of data availability to model the dynamic occupancy schedules. In recent years, urban data sets and modern estimation and detection techniques were introduced to increase the availability of occupant-related data sets. Yet, using these data to model the detailed occupancy at the urban scale is challenging and not much explored. Also, it is unclear how detailed the input regarding the occupancy should be. Addressing these research questions is the main objective of this study. This paper presents a comprehensive review of the occupant behavior (OB) modeling approaches, occupant-related input parameters with particular focus on the occupancy schedule, lighting, appliances use schedule, temperature set-point schedule, and domestic hot water usage for urban building energy modeling (UBEM). Strategies to consider the occupancy sub-models as co-simulation connecting to urban building energy simulation are discussed. Some potential datasets that could be used to derive occupant-related inputs at the urban scale are presented and highlighted. Further, the correlation between occupants’ activity level, plug, and lighting loads is discussed in detail. Finally, the limitations and challenges of the occupant-related data connecting to building energy modeling are discussed, along with the research gaps and future directions of occupant-centric UBEM.
Occupant-centric urban building energy modeling: Approaches, inputs, and data sources - A review
Graphical abstract Display Omitted
Highlights The occupancy modeling approaches with a particular focus on UBEM are discussed. Occupant-related inputs required for UBEM and the correlation between them are emphasized in the review. Challenges in accommodating the variations in occupancy at the urban scale are reviewed. Potential data sources for extracting building occupancy at urban scale are discussed. UML diagram and co-simulation required to represent occupancy are discussed.
Abstract Occupant-related inputs are significant parameters that influence energy simulation accuracy at both the building and urban levels. In most previous research works, fixed occupant schedules were used in urban-scale building energy modeling. The main reason is the lack of data availability to model the dynamic occupancy schedules. In recent years, urban data sets and modern estimation and detection techniques were introduced to increase the availability of occupant-related data sets. Yet, using these data to model the detailed occupancy at the urban scale is challenging and not much explored. Also, it is unclear how detailed the input regarding the occupancy should be. Addressing these research questions is the main objective of this study. This paper presents a comprehensive review of the occupant behavior (OB) modeling approaches, occupant-related input parameters with particular focus on the occupancy schedule, lighting, appliances use schedule, temperature set-point schedule, and domestic hot water usage for urban building energy modeling (UBEM). Strategies to consider the occupancy sub-models as co-simulation connecting to urban building energy simulation are discussed. Some potential datasets that could be used to derive occupant-related inputs at the urban scale are presented and highlighted. Further, the correlation between occupants’ activity level, plug, and lighting loads is discussed in detail. Finally, the limitations and challenges of the occupant-related data connecting to building energy modeling are discussed, along with the research gaps and future directions of occupant-centric UBEM.
Occupant-centric urban building energy modeling: Approaches, inputs, and data sources - A review
Dabirian, Sanam (Autor:in) / Panchabikesan, Karthik (Autor:in) / Eicker, Ursula (Autor:in)
Energy and Buildings ; 257
20.12.2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
ABM , Agent-based modeling , ARIMA , Autoregressive integrated moving average , ASHRAE , American Society of Heating, Refrigerating and Air-Conditioning Engineers , ATUS , American time use survey , BEMS , Building energy management system , BPS , Building performance simulation , CEA , City energy analyst , CESAR , Combined energy simulation and retrofitting , CityBES , City building energy saver , DNAS , Drivers, needs, actions, and systems , DOE , Department of energy , DYD , Donate your data , EnergyADE , Energy application domain extension , GIS , Geographical information system , HUES , Holistic urban energy simulation , HVAC , Heating, ventilation, air-conditioning , ISTAT , Italian National Institute of Statistics , k-NN , k-nearest neighbors , LBS , Location-based services , MuMo , Multiple Modules , NECB , National energy code of Canada for buildings , OB , Occupant behavior , obFMU , Occupant behavior functional mockup unit , obXML , Occupant behavior XML , PIR , Passive infra-red , RNN , Recurrent neural network , SHEU , Survey of household energy use , SIA , Swiss Society of Engineers and Architects , SOB , Stochastic occupant behavior , StROBe , Stochastic residential occupancy behavior , SVM , Support Vector Machine , TEASER , Tool for energy analysis and simulation for efficient retrofit , UBEM , Urban building energy modeling , UMI , Urban modeling interface , UML , Unified modeling language , Occupancy modeling approaches , Occupant-related inputs , Urban data , Level of details , Co-simulation
On occupant-centric building performance metrics
| Online Contents | 2017
On occupant-centric building performance metrics
| British Library Online Contents | 2017
On occupant-centric building performance metrics
| Elsevier | 2017
On occupant-centric building performance metrics
| British Library Online Contents | 2017