In-loco real-time dynamic energy modelling of dwellings

Authors

DOI:

https://doi.org/10.46421/encacelacac.v18i1.7161

Keywords:

Energy modeling, Data collection, Energy performance, Residential buildings, Existing buildings

Abstract

Energy modeling of existing housing is time-consuming and requires detailed information about the building. This paper presents a protocol for collecting on-site data from existing homes, allowing direct automated modeling in dynamic energy simulation tools. The protocol was implemented in an Android application, supported by a Node JS back-end and an Angular front-end for data management by different stakeholders. Automated simulations were performed with the ESP-r program using a simulator developed in Matlab. A case study of 10 thermal performance assessments according to NBR 15575-1 is described. Sub-hourly simulations of the real and reference building were performed with and without the use of natural ventilation, control of shading devices, and window opening. The results indicate that, for a 2-bedroom apartment, detailed and reliable compliance reports with third-party audited simulations are available within 48 minutes from accessing the property.

Author Biographies

Luciana Oliveira Fernandes, etiz

Doutorado em Arquitetura, Tecnologia e Cidade pela Universidade Estadual de Campinas. Sócia-fundadora e diretora da empresa etiz (São Paulo - SP, Brasil).

Daniel Cóstola, University of Strathclyde

Doutorado em Building Physics and Systems pela Technische Universiteit Eindhoven, TU/E, Holanda. Professor do Departamento de Engenharia Mecânica e Aeroespacial da Faculdade de Engenharia da University of Strathclyde (Glasgow - Escócia, Reino Unido).

References

ASSOCIAÇÃO BRASILEIRA DE NORMAS TÉCNICAS. ABNT NBR 15575-1: Edificações habitacionais — Desempenho. Parte 1: Requisitos gerais. Rio de Janeiro: ABNT, 2021.

BRASIL. Ministério da Economia. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMETRO). Portaria n° 309, de 6 de setembro de 2022. [Aprova as Instruções Normativas e os Requisitos de Avaliação da Conformidade para a Eficiência Energética das Edificações Comerciais, de Serviços e Públicas e Residenciais – Consolidado]. Diário Oficial da União: seção 1, Brasília, DF, p. 30, 12 set. 2022.

Fabbri, Kristian; Marinosci, Cosimo. EPBD independent control system for energy performance certification: The Emilia-Romagna Region (Italy) pioneering experience. Energy, Vol. 165, 2018, p. 563-576.

Kelly, Scott; Crawford-Brown, Doug; Pollitt, Michael G. Building performance evaluation and certification in the UK: Is SAP fit for purpose? Renewable and Sustainable Energy Reviews, Vol. 16, 2012, p. 6861-6878.

Lopes, Mauricio Nath; Lamberts, Roberto. Development of a Metamodel to Predict Cooling Energy Consumption of HVAC Systems in Office Buildings in Different Climates. Sustainability, Vol. 10 (12), 2018, p. 4718.

Shengwei, Wang; Chengchu, Yan; Fu, Xiao. Quantitative energy performance assessment methods for existing buildings. Energy and Buildings, Vol. 55, 2022, p. 873-888.

Vollaro, Roberto De Lieto; Guattari, Claudia; Evangelisti, Luca; Battista, Gabriele; Carnielo, Emiliano; Gori, Paola. Building energy performance analysis: A case study. Energy and Buildings, Vol. 87, 2015, p. 87-94.

Published

2025-08-16

How to Cite

OLIVEIRA FERNANDES, Luciana; CÓSTOLA, Daniel. In-loco real-time dynamic energy modelling of dwellings. In: ENCONTRO NACIONAL DE CONFORTO NO AMBIENTE CONSTRUÍDO, 18., 2025. Anais [...]. [S. l.], 2025. DOI: 10.46421/encacelacac.v18i1.7161. Disponível em: https://eventos.antac.org.br/index.php/encac/article/view/7161. Acesso em: 3 may. 2026.

Issue

Section

4. Desempenho Térmico do Ambiente Construído