Building information modeling (BIM) and life cycle assessment (LCA) are two methods that can be helpful when designing buildings with lower environmental impacts. One of the most significant examples of environmental impact assessments in construction is green building certification. Certified buildings have improved performance and greater asset value. In this study, four certification systems were investigated for their potential interconnections with BIM and LCA. The main tasks were (1) to review a BIM-based workflow, (2) assess its usage as an input for the LCA within green certifications, and (3) provide suggestions for developing building models. Building models can be helpful during the design process, but the best results are expected when the specifically described steps are followed. These suggestions aim at improving building models in terms of their usage for green building certifications and particularly for LCA. All the investigated results were clarified and adjusted using a model of a recently finished building in Zug. As reference tools, One Click LCA and a manual process were selected. The outcomes were aligned with those of other studies and confirmed the necessity of good data and management quality for building projects.

In recent years, there has been a growing interest in addressing human-induced impacts on the environment, with a particular focus on transitioning to sustainability and achieving carbon neutrality. However, the current implementation of Whole Life Carbon (WLC) and Life Cycle Assessment (LCA) in the construction sector in the Czech Republic is hindered by several challenges. These include gaps in stakeholders’ knowledge, limited availability of LCA data on construction products and buildings, insufficient market incentives, and low institutional capacity. This study, conducted as part of the INDICATE project, aims to streamline the process of WLC calculation and establish a consistent national assessment method specific to the Czech context. The project encompasses various phases, i.e., a case study collection of office, multi-family, single-family, education, and logistic hall buildings, followed by the development of a comprehensive unified materials database, classification of building parts and uniform work with the bill of quantities, stakeholder engagement, an LCA of case studies with a sensitivity analysis, and WLC policy suggestions, including the quality of the project data, simplifications, and a benchmarks definition. The Global Warming Potential (GWP) is calculated throughout the entire life cycle of each considered building, utilizing the EU Level(s) methodology incorporated in the OneClick LCA software. By adhering to these newly developed methodological steps, benchmarks for multi-residential buildings are shown. The same methodology could be replicated by stakeholders in other countries to enhance their evaluation processes and ensure consistent results across their projects.

When using Building Information Modeling (BIM) for complex building design, optimizing the building quality in a design phase becomes an important part of integrated and advanced building design. The use of data from an information model in the design phase allows efficient assessment of different design strategies and structural variants and a higher quality of the final design. This paper aims to analyze and verify possible BIM data-driven workflows for Complex Building Quality Assessment (CBQA) and a suitable BIM data structure set up for automatic assessment and evaluation. For an efficient automation process in complex quality building assessment in the design phase, it is necessary first to understand the data structure of the Industry Foundation Classes (IFC), which is widely accepted and used for buildings, and second to understand the data structure of the assessment methodology used for the assessment. This article describes possible data workflows for an automatic assessment based on the experience gained on a case study of the real pilot project of a residential building, where the complex building quality was tested using SBToolCZ, the Czech national assessment method. This article presents the experience and recommendations for setting up the data model of a building for automatic assessment.

Life cycle assessment (LCA) has become an important part of building design optimization. Design studios need tools that make the LCA of buildings faster and simple, and provide results that allow comparison between variants. The objective of this study was to show the possibility of LCA data integration into the existing building design tool, the DEK Building Library, which is already widely used in the Czech Republic, by connecting it to 1200 items of the largest Czech cost-estimating database, and the application of this connection into building information modeling (BIM) tools. This process also included the large-scale adaptation of 160 relevant LCA data. The main result was obtained using EnviBIM, a freely accessible BIM plugin, as well as a web interface that allows users to receive cradle-to-gate environmental impacts of DEK Building Library elements. Additionally, a semi-automated algorithms system for different groups of building materials and elements named EnviDataGenerator was developed in MS Excel, which enables the consistent linking of LCA data to the cost-estimating database items. This allows EnviBIM extensions and upgrades. The EnviBIM module was validated using case studies of three buildings modeled in ArchiCAD and REVIT. The difference in results compared to the manual calculation was 3.1% to 10.9%, which was considered a success.