Integration of the Passive Air Conduction Systems’ Aerodynamic Design Into Industrial Buildings
Abstract
New studies and reports are published on a daily basis about the dangers of climate change and
its main reason, humanity’s constantly growing population, built floor space and resource
consumption. The built environment is responsible for approx. 40 % of the total energy
consumption, and a huge portion of energy consumption in buildings comes from heating,
ventilation, and air conditioning. Numerous previous works assessed the potential of natural
ventilation compared to mechanical ventilation and proved their justification on the field.
Some of them created databases about the yearly potential of Natural Ventilation (NV) solutions
in different meteorological zones, and in some climates NV can be used almost during the whole
year, achieving approx. 45% energy conservation.
Others are reviewed the different options and aspects of NV from traditional structures to
modern examples, and created a wide base of knowledge for NV design.
During the development of scientific methods, numerous techniques became available for
researchers in aerodynamic topics, and ventilation system designers. Beside modern measuring
tools, wind and water tunnels, Computational Fluid Dynamics (CFD) simulations are the most
widespread device for airflow modeling and analyzing.
Maneuvered by educated and experienced engineers and scholars, it is able to replace the
previous options, However, even with a few parameter and a simplified method, the general approach consumes
a huge amount of preprocessing and computational time for CFD simulations. The possible
outlook of this dissertation is an opportunity to combine the experiences with the Energy Design
Synthesis, which is a parametric graph based mathematical approach to find optimal solutions
for architectural problems. The huge opportunity with this co-operation is the developed
strategy’s great potential to reduce time and organizing requirements by created a perfectly
general and effective sorting and ranking mechanism for vast amount of geometrical data.