Decisions made at the early stage of the design process have a substantial influence on the environmental, socio-economic, and technical performance of a building throughout its life cycle. Although an early-stage sustainability assessment is essential to achieving climate-neutral and nearly zero-energy buildings, its implementation remains challenging due to the need to integrate and evaluate large volumes of heterogeneous data originating from multiple sources and disciplines. In view of this challenge, this study presents a hybrid multi-level approach in which data fusion is combined with Building Information Modeling (BIM), web-based technologies, and multi-criteria decision-making (MCDM) methods to support the assessment of sustainable alternative design solutions for buildings. The proposed approach is implemented in the BIM4NZEB-DS web-based decision-support system and validated through a case study. In the data fusion model, BIM-derived information is combined with data from external sources within a unified environment, enabling designers to define sustainability indicators, assign relative level of importance, and evaluate design alternatives across key sustainability dimensions. Automated multi-criteria analysis enables the ranking and comparison of design solutions. The results of the case study demonstrate the capability of the proposed approach in terms of efficiently combining heterogeneous datasets and automating and facilitating systematic comparison of early-stage design alternatives. The findings indicate that a combination of BIM-based information management, web-enabled data fusion, and automated MCDM analysis enhances the transparency, consistency, and robustness of sustainability-oriented decision making. The approach described here contributes to the advancement of digital decision-support systems for sustainable building design and represents a practical tool for supporting climate-neutral building development during the most influential stages of the design process.
Building information modelling (BIM) has become increasingly important for Türkiye's large-scale geotechnical projects; however, its adoption remains limited owing to inconsistent data-sharing standards, varying organizational readiness and challenges in integrating geological and geotechnical models into design envi...
Merve Akbas, F. Akin· Royal Society Open Science· 0 citations
This study proposes an innovative assessment framework that integrates Building Information Modeling (BIM) with AI-supported multi-criteria decision-making to guide the adaptive reuse of the Aya Yorgi Church in Osmaneli. Using historical and architectural data, an HBIM-based digital model of the building was developed,...
G. Öztürk· Fırat Üniversitesi Mühendisl...· 0 citations
This study aims to develop and validate a building information modeling (BIM)-enabled life cycle assessment (LCA) framework for quantifying and reducing the environmental impacts of buildings during the design stage. The research addresses the limited implementation of BIM-integrated sustainability assessment in de...
Son Vu Hong Pham, Khoi Ngoc Quynh Luu, Nguyen Cao Khoi Nguyen· Smart and Sustainable Built...· 0 citations
The growing environmental impact of the construction sector is driving a shift toward sustainable design practices, in which digital technologies are integrated to enable designers to make informed decisions from the early design stages. In this study, a DSS is developed that combines BIM, VPL and TPL to identify the o...
Giuliana Parisi, Emanuele Testa, R. Caponetto· Sustainability· 2 citations
Despite extensive redevelopment initiatives for old industrial buildings in China, many have fallen short of achieving their intended socio-economic benefits. This shortcoming may be attributed to the lack of appropriate decision-support tools during preliminary project phases for selecting a suitable redevelopment mod...
Yi-Fei Wang, De-Xin Ding, Jin-Ping Zhao· Indoor and Built Environment· 0 citations
Building Information Modeling (BIM) is increasingly used in structural and infrastructure engineering as a digital environment supporting design, construction, and asset management processes. However, the application of BIM to complex infrastructures still presents several critical issues, particularly when dealing wit...
Laura Inzerillo, A. Pisciotta· International Journal of Eng...· 0 citations
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