Computational Method for Early-Stage Design Optimization of Naturally Ventilated Terminals

Computational Method for Early-Stage Design Optimization of Naturally Ventilated Terminals

Türkcan, Okan Fehmi Saban Fred (TU Delft Architecture and the Built Environment; TU Delft Architectural Engineering +Technology)

Nourian, Pirouz (mentor)
van den Engel, Peter (graduation committee)
Tenpierik, Martin (graduation committee)

Delft University of Technology

2019-08-30

This thesis focuses on the development of a computational model for early-stage design decision support of naturally ventilated terminal structures. The model is developed in a parametric Rhino Grasshopper environment paired with Python coding and CFD analyses through OpenFOAM. Optimization of air distribution parameters is performed with Galapagos evolutionary solver, while optimization of the subsequent geometry is done manually by means of the CFD results of the best-performing variant. Within the thesis a background study is made by means of an interview and literature review, after which analytic calculations and CFD studies are used to test various options and narrow down the domain of solutions for the case of the design of a naturally ventilated terminal structure. Finally, the method itself is developed and validated with a case study that is also used during the development of the model. The result of the thesis is a rapid computational model that allows for the integration of CFD studies into the early-stage design of naturally ventilated terminals with an optimization for the stated objective function. Secondly, the CFD results can be used to give an indication of a more optimal geometry of the hall. The final selection of geometry and the validation are left up to the user to perform afterwards.

optimization
CFD
parametric
airport
natural ventilation
thermal buoyancy
ground duct
air distribution
genetic algorithm
Evolutionary Algorithms
evolutionary solver

http://resolver.tudelft.nl/uuid:20e84104-201e-42b5-a67e-a91b6f9c5557

Student theses

master thesis

© 2019 Okan Fehmi Saban Fred Türkcan