Name: Victor Moura Bussolotti
Type: MSc dissertation
Publication date: 11/03/2020

Namesort descending Role
Edna Aparecida Nico Rodrigues Advisor *

Examining board:

Namesort descending Role
Cynthia Marconsini Loureiro Santos External Examiner *
Edna Aparecida Nico Rodrigues Advisor *
Jarryer Andrade de Martino Co advisor *

Summary: Climate change has been investigated by the scientific community in recent
decades and energy consumption for air conditioning and lighting is one of the
factors responsible for the damage caused to the planet. Solutions that seek ways
to minimize the environmental impacts caused by human action are relevant and
necessary. Proposing buildings capable of minimizing this consumption, through
efficient strategies to reduce the energy demand in the search for thermal comfort
are necessary actions. Windows, as one of the building components responsible
for energy consumption, by regulating the entry of light and wind, are an important
element for achieving energy efficiency. However, window models have
neglected important components for maintaining comfort and, consequently,
lower energy consumption. Generative systems appear as allies, proposing a
relation of the designer directly to the system, using computer resources to assist
them and automating parts of the design process. The main objective was to
propose thermally efficient windows through evolutionary algorithms in a
parameterized system. The methodology was divided into five parts. Initially, the
definition and characterization of the object of study was made, then the
presentation of the physical factors, the definition and use of the software for
parameterization of the windows, the configuration of the model of the generative
system that was simulated and, finally, the representation of the results. The
analysis of results was made by comparing the percentage of time of thermal
comfort inside environments served by windows dimensioned according to the
Construction Code of the municipality of Vitória, NBR 15.575 and RTQ-R, with
the window optimized by the evolutionary algorithms according to models of
adaptive comfort and PMV proposed by ASHRAE 55. The results showed that:
the windows generate different levels of comfort to the users; the simulated
parameters influence the thermal performance of the building and; the algorithms
improved the simulated situations. Therefore, it is evident the need to propose
adequate windows, generating efficient buildings and providing more comfort to

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