Bim based cfd algorithm for a/c placement in office environment

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2022-2-11

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Çelik, Ahmet Barış

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Today, cooling systems are one of the main energy-consuming elements in buildings. In the current situation, all cooling systems are designed to minimize the energy consumption of the relevant systems in commercial and residential buildings. Efficiency optimization studies of cooling systems are addressed in studies in the construction sector and the academic field. However, along with the optimization of energy consumption, ensuring the thermal comfort of people, which is the main element of the cooling system, has recently gained importance. Thermal comfort calculations in the construction industry and academic studies are examined with Computational Fluid Dynamics (CFD) software. Related programs examine how the predictive design of the cooling system will have an impact on human comfort. However, since these programs are advanced engineering programs that solve differential equations, they create a disadvantage in terms of time in the design processes. This thesis aims to predict the thermal comfort conditions on people and influence the design with the help of an algorithm that uses numerical approaches for the placement of the air terminals designed for cooling systems, using the geometry and data elements of the building information models, without making detailed CFD analysis. As a result of the study, it is observed that the calculations obtained in long periods with CFD analysis are achieved swiftly and consistently with the help of the developed algorithm. The related process will help pave the way for energy optimization studies aiming to provide thermal comfort conditions efficiently at the same time.

Subject Keywords

BIM, CFD, Thermal Comfort, HVAC, Dynamo

URI

https://hdl.handle.net/11511/97308

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

A. B. Çelik, “Bim based cfd algorithm for a/c placement in office environment,” M.S. - Master of Science, Middle East Technical University, 2022.