Simplificação de modelo de alta fidelidade para geração de metamodelos termoenergéticos em uma edificação educacional universitária

Kahena Marx Silva; Rafael de Paula Garcia; Ligiana Pricila Guimarães Fonseca; Joyce Correna Carlo

doi:10.18830/1679-09442026v19e60256

Authors

Kahena Marx Silva Federal University of Viçosa; Center for Exact Sciences; Department of Architecture and Urban Planning. https://orcid.org/0009-0006-0415-368X
Rafael de Paula Garcia Federal University of Viçosa; Center for Exact Sciences; Department of Architecture and Urban Planning. https://orcid.org/0000-0002-1839-1842
Ligiana Pricila Guimarães Fonseca Federal University of Viçosa; Center for Exact Sciences; Department of Architecture and Urban Planning. https://orcid.org/0000-0002-1612-2665
Joyce Correna Carlo Federal University of Viçosa; Center for Exact Sciences; Department of Architecture and Urban Planning. https://orcid.org/0000-0003-3868-0307

DOI:

https://doi.org/10.18830/1679-09442026v19e60256

Keywords:

Metamodels, Thermal-energy simulation, Thermal zones, Calibration

Abstract

With climate change and the increased demand for cooling, computational thermo-energetic modeling becomes essential for studying and adapting buildings. However, developing models that accurately represent complex buildings can be highly time-consuming and computationally intensive. This study investigates the use of metamodels to reduce building simulation time without compromising result accuracy. Using the Pavilhão de Aulas II (PVB) at the Federal University of Viçosa as a case study, three metamodels were developed, via EnergyPlus, based on simplifications of the original calibrated model. Validation was performed using ASHRAE Guideline 14, considering the Normalized Mean Bias Error (NMBE) and Coefficient of Variation of the Root Mean Square Error (CV(RMSE)) indices, as well as statistical approaches. Among the three metamodels compared, the simplest achieved the best performance and the shortest simulation time. The results indicate that reducing the number of thermal zones allows decreasing computational time, while keeping errors within acceptable limits.

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Author Biographies

Kahena Marx Silva, Federal University of Viçosa; Center for Exact Sciences; Department of Architecture and Urban Planning.

Undergraduate student in Architecture and Urban Planning at the Federal University of Viçosa (UFV).

Rafael de Paula Garcia, Federal University of Viçosa; Center for Exact Sciences; Department of Architecture and Urban Planning.

Holds a bachelor's degree in Mathematics from the Federal University of Viçosa (UFV), a master's degree in Computational Modeling from the Federal University of Juiz de Fora (UFJF), and a doctorate in Civil Engineering, with an emphasis on Computational Systems, from COPPE/Federal University of Rio de Janeiro (UFRJ). Currently, he is an Adjunct Professor 2 in the Department of Architecture and Urbanism at UFV, where he teaches courses in graphic representation. He is also a member of the faculty of the Postgraduate Program in Architecture and Urbanism at UFV. His research focuses on optimization theories and applications, with an emphasis on evolutionary metaheuristics and machine learning.

Ligiana Pricila Guimarães Fonseca, Federal University of Viçosa; Center for Exact Sciences; Department of Architecture and Urban Planning.

PhD candidate, Master's degree in Architecture and Urbanism, and architect and urban planner from the Federal University of Viçosa, conducts research in the area of Environmental Behavior of Built Space, mainly focused on environmental comfort and energy efficiency of built spaces. She has experience with parametric modeling and simulation processes and simulation-based optimization. Currently, she is a tenured professor at CEFET-MG Varginha campus, working in the Department of Civil Engineering.

Joyce Correna Carlo, Federal University of Viçosa; Center for Exact Sciences; Department of Architecture and Urban Planning.

Holds a degree in Architecture and Urbanism from the Federal University of Minas Gerais (1997), a specialization in Urban Analysis from the Federal University of Minas Gerais (1999), and a master's degree (2002) and doctorate (2008) in Civil Engineering from the Federal University of Santa Catarina. She completed a post-doctorate at UFSC, where she implemented the Brazilian Building Labeling Program in conjunction with Inmetro and Procel Edifica. She has been a professor in the Department of Architecture and Urbanism at the Federal University of Viçosa since August 2009. She has experience in the areas of Bioclimatic Architecture, Energy Efficiency, and Thermo-energetic and Lighting Simulations, having carried out consultancies and architectural projects. She teaches courses in these areas, both at the undergraduate and graduate levels. She develops research focused on the performance and comfort of buildings with the development of building technologies or those related to climate change. She participated in the drafting of Inmetro's building labeling regulations. She is currently a specialist in building energy efficiency for the accreditation of inspection bodies by Inmetro and a participant in the Building Energy Efficiency Network and the Technical Secretariat of PBE Edifica. Member of the Committee for the Capes Thesis Award, 2023 edition, and of the Board of Directors of IBPSA - Brazil.

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