TY - JOUR
T1 - A hierarchical reference-based know-why model for design support of sustainable building envelopes
AU - Scherz, Marco
AU - Hoxha, Endrit
AU - Kreiner, Helmuth
AU - Passer, Alexander
AU - Vafadarnikjoo, Amin
PY - 2022/7
Y1 - 2022/7
N2 - In current complex building designs, sustainability assessments are often performed after project completion, with limited impact on building performance which results in missed goals in terms of quality, cost, and time. We address this problem by proposing a hierarchical reference-based know-why model to answer the research question “what is a suitable decision support model to successfully integrate the sustainability requirements in the early design phase of buildings?”. The model presents a process that incorporates a life-cycle perspective and calculates design alternatives based on a defined reference and the DGNB building certification system. The results show that criteria synergies and trade-offs can be identified, leading to improved design by engineers and better building performance. Our findings pave the way for full integration of the model into building information modeling, combined with artificial intelligence. This can help manage the complexity of the sustainable design process on the path to carbon-neutral buildings.
AB - In current complex building designs, sustainability assessments are often performed after project completion, with limited impact on building performance which results in missed goals in terms of quality, cost, and time. We address this problem by proposing a hierarchical reference-based know-why model to answer the research question “what is a suitable decision support model to successfully integrate the sustainability requirements in the early design phase of buildings?”. The model presents a process that incorporates a life-cycle perspective and calculates design alternatives based on a defined reference and the DGNB building certification system. The results show that criteria synergies and trade-offs can be identified, leading to improved design by engineers and better building performance. Our findings pave the way for full integration of the model into building information modeling, combined with artificial intelligence. This can help manage the complexity of the sustainable design process on the path to carbon-neutral buildings.
KW - Building certification system
KW - Building design
KW - Building envelope
KW - Decision-making
KW - Sustainability assessment
KW - Sustainable construction
UR - http://www.scopus.com/inward/record.url?scp=85129008388&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2022.104276
DO - 10.1016/j.autcon.2022.104276
M3 - Article
SN - 0926-5805
VL - 139
JO - Automation in Construction
JF - Automation in Construction
M1 - 104276
ER -