TREEFY
Shading unit designed via multi-objective optimization within a generative algorithm

Master Studio Project
Supervisors: Assist. Prof. Dr. İpek Gürsel Dino

Location
Ankara, Turkey

Year
2020

In architectural design, achieving a delicate balance among various factors such as climatic conditions, covered area, and tree locations is a paramount objective. This equilibrium is sought through a multidimensional approach, often facilitated by parametric design and multi-objective optimization techniques.

Utilizing parametric design, architects can create a flexible and adaptable model that allows for the exploration of multiple design alternatives based on varying parameters. This approach enables the dynamic adjustment of elements such as building orientation, geometry, and material usage to align with the climatic context and tree placements. The design evolves in response to changing variables, ensuring an optimal and efficient architectural solution.

Moreover, multi-objective optimization serves as a powerful tool to address the diverse objectives of the architectural project. Through this process, conflicting goals like maximizing natural shading, minimizing energy consumption, and preserving tree locations can be simultaneously optimized. Architects use sophisticated algorithms to iteratively refine the design, considering these conflicting objectives and generating a range of potential solutions that strike an optimal balance.

In this context, envision a wooden beam as a representative element of the structure. This beam navigates its path through the architectural space, guided by the principles of optimum shaded areas and radiation analysis. The magnetic field metaphorically alludes to the dynamic influence of tree locations, exerting a force that guides the orientation and placement of the beam, ensuring harmonious integration with the natural environment. Through this approach, the architectural design emerges as a fusion of innovative parametric design and multi-objective optimization, harmonizing human needs with environmental considerations