| dc.description.abstract | This master's thesis explores the adaptability and robustness of a specific kind of vernacular in Norway's cold climate. Using digital tools such as Rhino and Grasshopper, a parametric model is created to simulate under different climatic conditions and optimize its features.
Study begins by analysing the climatic context and identifying a specific vernacular typology. Characteristics of this typology were then traduced in numerical parameters that could be orientation, insulation, and design features etc. These elements are then incorporated into the parametric model to create a digitally optimized design that can respond to a range of climatic scenarios. The results demonstrate the potential of digital tools to stretch the model according to applied parameters and optimize its performance for different climatic contexts.
The study concludes by discussing the implications of the research findings for sustainable architecture design in cold climate regions, emphasizing the importance of preserving and learning from vernacular architecture as a valuable cultural and environmental resource. The thesis also suggests future research directions to explore the potential of digital tools to optimize the climate adaptability and robustness of vernacular architecture. | |
