The Value Chain Digital Model (VCDM) is a tool based on traceable data that makes it possible to visualise, analyse, simulate, and optimise the complete value chain (VC) of biogenic buildings as well as individual sub-processes of the VC. By using the VCDM, the user can improve the performance of building projects, especially in terms of key performance indicators (KPIs) such as the carbon footprint, investment costs, market value, energy consumption and material consumption. The aim is to promote a sustainable building sector by using the VCDM as a digital technology, that can be applied in different regions for a variety of applications.
Project Lead: Prof. Raoul Bunschoten
Sebastian Orozco
Johannes Reinders
● Accesible multi-source data aggregration and modelling
● Multi-scale and multi-variable information handling
● Material flow tracking and geo-referenced visualization
● Parametric scenario configuration and KPI´s forecasting
● Reliable, data-driven support for desicion making processes ● Technical enabler for sustainable public governance
● Compliant with the 3S paradigm and the LCA standard (ISO 14040) The VCDM A Value Chain Digital Model
Bauhütte 4.0 Foundation with CHORA Conscouis City and TU Berlin propose articulation strategy and operational tool towards the digital twin of the Forest-to-City Value Chain. The VCDM suggests there is a high feasibility for the forests of Brandenburg to be processed into sustainable architecture for housing (initially) in Berlin through the development of a regional industry branch in the form of a networked value chain. Two benefits of this would be, the progressive regeneration of the forest biotope, based on a more ecologically diverse landscape, and the capacity enhancement for large-scale carbon storage within the urban tissue in the city of Berlin. A constructive debate, where all the stakeholders have easy access to technically reliable data, and parametric scenario exploration could open the door to a better informed, more inclusive, and sustainable built environment. Similar implementations of this analytical work ow can be applied to other German or European regions in order to discover new bio-based materials reservoirs, simulate detailed implement.
