Occupant behavior modelling to support the development of adaptive facade control strategies

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Uittreksel

This study investigates the appropriate model complexity for occupancy models when assessing the performance of presence-dependent control strategies for adaptive solar shading systems. BPS tools are useful during the R&D process of innovative, solar shading control strategies. However, inappropriate consideration of key aspects of occupant behavior (OB) in the BPS tools could lead to suboptimal design decisions. Therefore, a previously developed methodology was applied to select fit-for-purpose OB models for different solar shading control strategies. The results show that a refined occupancy model is needed when evaluating the energy performance of the best-performing strategy, while it would be redundant in all other cases. Nevertheless, considering a variety of scenarios as opposed to a single occupancy schedule is essential to informed decision-making.
TaalEngels
TitelProceedings of the 16th International IBPSA Conference (Building Simulation 2019)
Aantal pagina's8
StatusGepubliceerd - sep 2019
EvenementBuilding Simulation 2019 - largo Angelicum, 1 – 00184 Rome, Rome , Italië
Duur: 2 sep 20194 sep 2019
http://buildingsimulation2019.org/

Congres

CongresBuilding Simulation 2019
Verkorte titelBS 2019
LandItalië
StadRome
Periode2/09/194/09/19
Internet adres

Vingerafdruk

Facades
Solar system
Decision making

Citeer dit

Gaetani dell'Aquila d'Aragona, I., van Woensel, R. N. P., Hoes, P-J., & Hensen, J. (2019). Occupant behavior modelling to support the development of adaptive facade control strategies. In Proceedings of the 16th International IBPSA Conference (Building Simulation 2019)
Gaetani dell'Aquila d'Aragona, Isabella ; van Woensel, R.N.P. ; Hoes, Pieter-Jan ; Hensen, Jan. / Occupant behavior modelling to support the development of adaptive facade control strategies. Proceedings of the 16th International IBPSA Conference (Building Simulation 2019). 2019.
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title = "Occupant behavior modelling to support the development of adaptive facade control strategies",
abstract = "This study investigates the appropriate model complexity for occupancy models when assessing the performance of presence-dependent control strategies for adaptive solar shading systems. BPS tools are useful during the R&D process of innovative, solar shading control strategies. However, inappropriate consideration of key aspects of occupant behavior (OB) in the BPS tools could lead to suboptimal design decisions. Therefore, a previously developed methodology was applied to select fit-for-purpose OB models for different solar shading control strategies. The results show that a refined occupancy model is needed when evaluating the energy performance of the best-performing strategy, while it would be redundant in all other cases. Nevertheless, considering a variety of scenarios as opposed to a single occupancy schedule is essential to informed decision-making.",
author = "{Gaetani dell'Aquila d'Aragona}, Isabella and {van Woensel}, R.N.P. and Pieter-Jan Hoes and Jan Hensen",
year = "2019",
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Gaetani dell'Aquila d'Aragona, I, van Woensel, RNP, Hoes, P-J & Hensen, J 2019, Occupant behavior modelling to support the development of adaptive facade control strategies. in Proceedings of the 16th International IBPSA Conference (Building Simulation 2019)., Rome , Italië, 2/09/19.

Occupant behavior modelling to support the development of adaptive facade control strategies. / Gaetani dell'Aquila d'Aragona, Isabella; van Woensel, R.N.P.; Hoes, Pieter-Jan; Hensen, Jan.

Proceedings of the 16th International IBPSA Conference (Building Simulation 2019). 2019.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

TY - GEN

T1 - Occupant behavior modelling to support the development of adaptive facade control strategies

AU - Gaetani dell'Aquila d'Aragona,Isabella

AU - van Woensel,R.N.P.

AU - Hoes,Pieter-Jan

AU - Hensen,Jan

PY - 2019/9

Y1 - 2019/9

N2 - This study investigates the appropriate model complexity for occupancy models when assessing the performance of presence-dependent control strategies for adaptive solar shading systems. BPS tools are useful during the R&D process of innovative, solar shading control strategies. However, inappropriate consideration of key aspects of occupant behavior (OB) in the BPS tools could lead to suboptimal design decisions. Therefore, a previously developed methodology was applied to select fit-for-purpose OB models for different solar shading control strategies. The results show that a refined occupancy model is needed when evaluating the energy performance of the best-performing strategy, while it would be redundant in all other cases. Nevertheless, considering a variety of scenarios as opposed to a single occupancy schedule is essential to informed decision-making.

AB - This study investigates the appropriate model complexity for occupancy models when assessing the performance of presence-dependent control strategies for adaptive solar shading systems. BPS tools are useful during the R&D process of innovative, solar shading control strategies. However, inappropriate consideration of key aspects of occupant behavior (OB) in the BPS tools could lead to suboptimal design decisions. Therefore, a previously developed methodology was applied to select fit-for-purpose OB models for different solar shading control strategies. The results show that a refined occupancy model is needed when evaluating the energy performance of the best-performing strategy, while it would be redundant in all other cases. Nevertheless, considering a variety of scenarios as opposed to a single occupancy schedule is essential to informed decision-making.

M3 - Conference contribution

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Gaetani dell'Aquila d'Aragona I, van Woensel RNP, Hoes P-J, Hensen J. Occupant behavior modelling to support the development of adaptive facade control strategies. In Proceedings of the 16th International IBPSA Conference (Building Simulation 2019). 2019.