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A. Mahdavi:
"Occupant-centric building design and operation - remarks on advanced occupant models and the role of `big data´";
Talk: 40th AIVC Conference, 8th TightVent Conference, 6th venticool Conference, Ghent, Belgium (invited); 2019-10-15 - 2019-10-16.

Buildings account for approx. 40% of the energy use in industrialized countries. Although various policies (e.g., building codes and incentives) were introduced to improve the quality of building envelopes and HVAC efficiency, very often a
performance gap between designed and actually monitored energy consumption of buildings can be observed. Depending on the building type and degree of automation, occupants have a great influence of building energy use. For instance, Hong and Lin (2013) performed a simulation study to show that occupant behaviour at the office scale could increase energy use by 80% or reduce it by 50% from standard assumptions. This topic is exactly in the focus of the new IEA EBC Annex 79, which intends to integrate and implement occupancy and occupant behaviour into
the design process and building operation to improve both energy performance and occupant comfort. The main objectives of the Annex are: developing new scientific knowledge about adaptive occupant actions driven by multiple interdependent indoor environmental parameters; understanding interactions between occupants
and building systems in view of adaptive opportunities for improving the comfort situation, and regarding building energy use; deploying `big data´ (e.g. data mining and machine learning) for the building sector based on various sources of building
and occupant data as well as sensing technologies; developing methods, guidelines, and recommendations for standards that integrate occupant models in building design and operation; and performing focused case studies to test the new methods
and models in different design and operation phases in order to obtain valuable feedback for researchers and practitioners. The workshop will briefly introduce different fields of related research followed by a discussion about the needs and
expectations of planners with regard to occupant models. In this context we want to gather views, opinions, and experiences regarding the following questions: What information about occupants is necessary for developing occupant-centric
building and systems designs? What do planners rely on when they assess building energy performance?
Who has/provides this information about occupants/occupancy in the early design process/for building operation? What is the quality of this information?
Who is responsible to collect and further process this information?
What models are needed to use the available information about occupancy/occupant behaviour in design tools (sizing of components, energy calculation routines, performance simulation)
The objectives of this session are to: inform about activities and first outcomes of the IEA EBC Annex 79; gather information about the needs and expectations of planners with regard to occupant models; and discuss obstacles and possible solutions for
implementing advanced occupant behaviour/occupancy models in building design and operation tools.

(no german version)
Buildings account for approx. 40% of the energy use in industrialized countries. Although various policies (e.g., building codes and incentives) were introduced to improve the quality of building envelopes and HVAC efficiency, very often a
performance gap between designed and actually monitored energy consumption of buildings can be observed. Depending on the building type and degree of automation, occupants have a great influence of building energy use. For instance, Hong and Lin (2013) performed a simulation study to show that occupant behaviour at the office scale could increase energy use by 80% or reduce it by 50% from standard assumptions. This topic is exactly in the focus of the new IEA EBC Annex 79, which intends to integrate and implement occupancy and occupant behaviour into
the design process and building operation to improve both energy performance and occupant comfort. The main objectives of the Annex are: developing new scientific knowledge about adaptive occupant actions driven by multiple interdependent indoor environmental parameters; understanding interactions between occupants
and building systems in view of adaptive opportunities for improving the comfort situation, and regarding building energy use; deploying `big data´ (e.g. data mining and machine learning) for the building sector based on various sources of building
and occupant data as well as sensing technologies; developing methods, guidelines, and recommendations for standards that integrate occupant models in building design and operation; and performing focused case studies to test the new methods
and models in different design and operation phases in order to obtain valuable feedback for researchers and practitioners. The workshop will briefly introduce different fields of related research followed by a discussion about the needs and
expectations of planners with regard to occupant models. In this context we want to gather views, opinions, and experiences regarding the following questions: What information about occupants is necessary for developing occupant-centric
building and systems designs? What do planners rely on when they assess building energy performance?
Who has/provides this information about occupants/occupancy in the early design process/for building operation? What is the quality of this information?
Who is responsible to collect and further process this information?
What models are needed to use the available information about occupancy/occupant behaviour in design tools (sizing of components, energy calculation routines, performance simulation)
The objectives of this session are to: inform about activities and first outcomes of the IEA EBC Annex 79; gather information about the needs and expectations of planners with regard to occupant models; and discuss obstacles and possible solutions for
implementing advanced occupant behaviour/occupancy models in building design and operation tools.

https://publik.tuwien.ac.at/files/publik_281931.pdf