Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Early-Stage Advisory System for Energy-Conscious Design of Building Façade Systems
The selection of high-energy performance facade systems could play a pivotal role in enhancing energy efficiency and promoting sustainability in buildings. However, many decisions on the selection of building facade systems are made at the early building design stage when no detailed building information is available. Therefore, an intelligent advisory system is needed to support designers and architects in selecting high-performance facade systems at the early stage of building design. The main objective of this paper is to develop an advisory system that extracts underlying structures from the thermal behavior of façade systems and expresses them as recommendations to support architects and designers in the early stages of building design for the selection of high-performance and energy-efficient façade systems. The proposed advisory system extracts useful rules from data using the association rule mining technique and expresses them as recommendations to support the selection of façade systems. As an illustration, the proposed system was examined and validated on an ultra-high-performance fiber-reinforced-concrete (UHP-FRC) façade panel. The results showed that the proposed advisory system facilitates decision-making in selecting high-energy performance facade systems in the early building design stage by providing insights into the performance of facade panels in various building contexts and weather conditions.
Early-Stage Advisory System for Energy-Conscious Design of Building Façade Systems
The selection of high-energy performance facade systems could play a pivotal role in enhancing energy efficiency and promoting sustainability in buildings. However, many decisions on the selection of building facade systems are made at the early building design stage when no detailed building information is available. Therefore, an intelligent advisory system is needed to support designers and architects in selecting high-performance facade systems at the early stage of building design. The main objective of this paper is to develop an advisory system that extracts underlying structures from the thermal behavior of façade systems and expresses them as recommendations to support architects and designers in the early stages of building design for the selection of high-performance and energy-efficient façade systems. The proposed advisory system extracts useful rules from data using the association rule mining technique and expresses them as recommendations to support the selection of façade systems. As an illustration, the proposed system was examined and validated on an ultra-high-performance fiber-reinforced-concrete (UHP-FRC) façade panel. The results showed that the proposed advisory system facilitates decision-making in selecting high-energy performance facade systems in the early building design stage by providing insights into the performance of facade panels in various building contexts and weather conditions.
Early-Stage Advisory System for Energy-Conscious Design of Building Façade Systems
Abediniangerabi, B. (Autor:in) / Shahandashti, M. (Autor:in)
Construction Research Congress 2022 ; 2022 ; Arlington, Virginia
Construction Research Congress 2022 ; 195-204
07.03.2022
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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