Banca de QUALIFICAÇÃO: VIVIANE DINIZ HAZBOUN

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : VIVIANE DINIZ HAZBOUN
DATE: 23/03/2022
TIME: 09:30
LOCAL: Sala virtual https://us02web.zoom.us/j/81530694290?pwd=Qm1mMzZkT0FmK0tTRzZrOW5MUENwZz09
TITLE:

Impact of large fenestration facade and occupants' interaction on thermal and daylighting performance of office building

KEY WORDS:

Large window facades; daylight performance; visual contact with the outside; thermoenergetic performance; user profiles

PAGES: 99
BIG AREA: Ciências Sociais Aplicadas
AREA: Arquitetura e Urbanismo
SUBÁREA: Tecnologia de Arquitetura e Urbanismo
SPECIALTY: Adequação Ambiental
SUMMARY:

This work evaluates office facades designs with large windows at low-latitude zones from the balance between strategies to mitigate the window’s obstruction and measures that preserve daylight use and contact to the outside. The problem stems from the recurrence of internal blinds closed by users to reduce discomfort caused by large windows, due to the excessive sunlight, glare and unwanted heat gains, which compromises the primary function of the openings. To minimize the negative effects, design strategies related to the window size, sky view factor, external shading devices and special glazing are evaluated with the layout and user profiles in the control of internal blinds. These strategies imply balances of gains and losses because the mitigation of the causes that lead the window obstruction can reduce the daylight use and the view to the outside, demanding the combination of different criteria for a integrated performance evaluation. The method consists of computer simulation and multicriteria analysis of combinations between facades, layout and user profiles. The simulations of luminous and thermoenergetic performance are performed on Grasshopper/Rhinoceros platform, to obtain Spatial Daylight Autonomy (sDA), PMV and energy demand for cooling and artificial lighting. The glare analysis, based on the Perceived Glare Level (PGL), is performed through a per pixel post-processing framework of HDR images that represents the users' fields of view in Matlab software, to support the control profiles and quantify the percent of occupied hours with a view of each scenario. The multicriteria evaluation considers the goals of daylight performance and visual comfort, view to the outside, thermal performance and energy consumption.

BANKING MEMBERS:
Presidente - 1454154 - ALDOMAR PEDRINI
Interna - 3549781 - BIANCA CARLA DANTAS DE ARAUJO
Externo à Instituição - RICARDO CARVALHO CABUS - UFAL
Externa à Instituição - SOLANGE MARIA LEDER - UFPB