Banca de QUALIFICAÇÃO: ALICE RUCK DRUMMOND DIAS

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : ALICE RUCK DRUMMOND DIAS
DATE: 25/04/2023
TIME: 14:00
LOCAL: Sala virtual
TITLE:

Optimization of building energy performance assessment using architectural typologies and metamodels

KEY WORDS:

sensitivity analysis, energy efficiency of buildings, envelope optimization.

PAGES: 252
BIG AREA: Ciências Sociais Aplicadas
AREA: Arquitetura e Urbanismo
SUBÁREA: Tecnologia de Arquitetura e Urbanismo
SPECIALTY: Adequação Ambiental
SUMMARY:

This thesis in progress presents a sensitivity analysis of envelope parameters
for commercial building energy performance according to architectural types,
categorizing relevant morphological design aspects to provide an accessible, fast, and
reliable optimized approach. The research starting point is the high time-consuming,
complexity, and unknown result uncertainties of building energy performance analysis,
despite the energy tools evolution. One of the causes is the lack of building modeling
hierarchy, which should prioritize the characterization of the most influential
characteristics in the energy performance and choosing default for the less significant
variables, instead of approaching them equally, without considering the input
variations. For example, regulations frequently apply the same criteria regardless of
the building typology, both for high-rise glass facade or small ground floor, impacting
the design process and its evaluation. The alternative is to identify the relationship
among design parameters that enables exploring optimization strategies, helpful in the
early design stages and energy standard conductions, which can be achieved by
metamodels and uncertainties analyses to provide faster results and better reliability.
This thesis explores the building design inputs relevance and relationship, based on
Sobol's global sensitivity analysis, uncertainty, and interdependence analysis in
commercial building types. It is assumed that a variable uncertainty must be consistent
with its relevance, according to building typology. The R statistical program runs the
sensitivity and uncertainty analysis, accessing the INI-C metamodel to explore the
variables related to cells and then assembling representative buildings. The buildings
are classified in typologies depending on the relevance of key energetic-architectural
aspects. The defined categories are applied on a built stock sample, and uncertainty
analyses are conducted according to variable influence. The partial results have
confirmed the method's efficacy in identifying different input relevance profiles in pilot
study typologies, such as small and large WWR type, roof exposure, and the number
of floors.

COMMITTEE MEMBERS:
Presidente - 1454154 - ALDOMAR PEDRINI
Interna - 3549781 - BIANCA CARLA DANTAS DE ARAUJO
Externa à Instituição - ANA PAULA MELO - UFSC
Externo à Instituição - ARTHUR SANTOS SILVA - UFMS
Externo à Instituição - ANTONIO CESAR SILVEIRA BAPTISTA DA SILVA - UFPel