The social housing sector is playing an important role in Brazil, due to the necessity of its expansion. Currently, many residential projects perform poorly in terms of energy efficiency and thermal comfort. In addition, the impact of climate change on energy consumption may aggravate the energy scenario, increasing the dependence on the heating, ventilation and air conditioning system. In parallel to this, there is a growing adoption of the Structural Concrete Insulated Panels (SCIP) and insulated concrete form (ICF) in the Brazilian construction industry, due to their advantages in reducing construction time, and cost. Therefore, this study provides a discussion on thermal-energy performance focusing on parametric analysis of the SCIP and ICF wall systems adoption for social housing in Brazil. Due to the fact that building performance is heavily affected by weather conditions, this study evaluated the computer simulation of the thermal-energy performance of SCIP and ICF wall systems for hot climates while addressing the impacts of climate change. The city of Rio de Janeiro, characterized by the tropical climate was selected, and the Climate Change World Weather File Generator (CCWorldWeatherGen) tool was used to produce weather data for future climate scenarios, such as 2020, 2050 and 2080.

Due to climate change conditions, natural ventilation potential may reduce over the years and increase dependence on HVAC systems. Moreover, occupants’ behaviour regarding natural ventilation is a significant parameter affecting the thermal-energy performance of residential buildings as people tend to occupy their homes differently depending on their life, work and cultural routines. Therefore, in this study, the thermal-energy performance of a Global South (GS) housing case study located in Brazil was assessed in a future weather context. This paper included two major steps: (1) Optimization procedure to create optimized models based on different occupancy patterns; and (2) Parametric analysis to explore the building’s thermal-energy performance for a given constructive design option, occupant behaviour and weather data. The optimization procedure included a multi-objective optimization based on the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to minimize discomfort hours and cooling energy demand, while parametric analysis explored the occupants’ behaviour varieties derived from alternative occupancy patterns, ventilation availabilities and HVAC operation modes. The obtained future context simulation results indicated an increase in discomfort hours and cooling energy demand, while the most appropriate architecture design might vary depending on the occupancy behaviour.

Purpose: In developing countries, such as Brazil, the construction sector is consistently focused on the construction of new buildings, and there is no dissemination of the preservation, restoration and maintenance of historic buildings. Idle buildings, due to the use and lack of maintenance, present pathological manifestations, such as moisture problems that compromise specially their thermal and energy performance. With this in mind, the purpose of this work is to create a digital model using terrestrial photogrammetry and suggest retrofit interventions based on computer simulation to improve the thermal and energy performance of a historical building. Design/methodology/approach: The proposed methodology combined terrestrial photogrammetry using common smartphones and commercial software for historical buildings with building information modeling (historic building information modeling (HBIM)) and building energy modeling (BEM). The approach follows five steps: planning, site visit, data processing, data modeling and results. Also, as a case study, the School of Architecture and Urbanism of the Fluminense Federal University, built in 1888, was chosen to validate the approach. Findings: A digital map of pathological manifestations in the HBIM model was developed, and interventions considering the application of expanded polystyrene in the envelope to reduce energy consumption were outlined. From the synergy between HBIM and BEM, it was concluded that the information modeled using photogrammetry was fundamental to create the energy model, and simulations were needed to optimize the possible solutions in terms of energy consumption. Originality/value: Firstly, the work proposes a reasonable methodology to be applied in development countries without sophisticated technologies, but with acceptable precision for the study purpose. Secondly, the presented study shows that the use of HBIM for energy modeling proved to be useful to simulate possible solutions that optimize the thermal and energy performance.

The standard Brazilian school projects (EMEIs) were created for the Proinfância [Pro-Childhood] program to respond to the growing national demand for public schools. Unfortunately, the project disregards the Brazilian local climate, leading to an inadequate architectural design, especially in terms of energy performance. Within this context, this research aimed to assess the impact of a new geometric design and envelope proposal on the energy performance of a Brazilian school building. The study object is a standard project (EMEI) of the Proinfância program located in Pelotas, Brazil. Two distinct multi-objective optimizations were performed based on EnergyPlus coupled with the Strength Pareto Evolutionary Algorithm 2 (SPEA2), in which the objective functions were defined to minimize heating and cooling Energy Use Intensity (EUI) for different geometric designs (Base and Linear models). The design variables considered were window-to-wall ratio (WWR); thermal insulation thickness for walls and floor; solar absorptance values for walls and roof; and solar orientation. A total of 74.520 simulations were carried out, and the results indicated that the new geometric design combined with bioclimatic envelope strategies was capable of reducing 52% of the Energy Use Intensity when compared to the standard school project.