Assessment of the Energy Efficiency and Cost of Low-Income Housing Based on BIM Considering Material Properties and Energy Modeling in a Tropical Climate
This work analyzes the potential impact of thirteen passive and active factors on a low-income housing (LIH) model in a tropical climate. For this purpose, a study of material properties and energy modeling using Building Information Modelling (BIM) is carried out, which helps to evaluate these fact...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/6/1500 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850089376039567360 |
|---|---|
| author | Vicente Macas-Espinosa Israel Portilla-Sanchez David Gomez Ruben Hidalgo-Leon Julio Barzola-Monteses Guillermo Soriano |
| author_facet | Vicente Macas-Espinosa Israel Portilla-Sanchez David Gomez Ruben Hidalgo-Leon Julio Barzola-Monteses Guillermo Soriano |
| author_sort | Vicente Macas-Espinosa |
| collection | DOAJ |
| description | This work analyzes the potential impact of thirteen passive and active factors on a low-income housing (LIH) model in a tropical climate. For this purpose, a study of material properties and energy modeling using Building Information Modelling (BIM) is carried out, which helps to evaluate these factors’ energetic and economic implications. Two significant assessments are highlighted, namely active and passive factor analysis and dominant factor analysis. The research studied the architectural design of a one-story house measuring thirty-six square meters outlined by the Ecuadorian Construction Standard (NEC) chapter 15 part 4. A 3D architectural model was generated using Revit 2024 simulation software and subsequently employed to establish an energy model used in Autodesk Insight Software 2024 to assess the factors influencing energy consumption and annual energy expenses. The analysis included a comparison with a model of the house based on the ASHRAE 90.2 standard. The active and passive factors were ranked according to their impact on energy efficiency in the model. The results show that Energy Use Intensity (EUI) has a higher reduction for the ASHRAE model of 4.63%, with 21.60% for the Energy cost. The active factors exhibited a greater impact on the energy performance of the LIH than the passive factors, with the PV-Surface coverage being the factor that generated the highest EUI reduction, with 39.66% and 78.51% for both models. The study concluded by emphasizing the importance of adopting active strategies to achieve energy efficiency and economical house design. |
| format | Article |
| id | doaj-art-6fac8dfabddc45a9ad78d2636ebe1f0f |
| institution | DOAJ |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-6fac8dfabddc45a9ad78d2636ebe1f0f2025-08-20T02:42:48ZengMDPI AGEnergies1996-10732025-03-01186150010.3390/en18061500Assessment of the Energy Efficiency and Cost of Low-Income Housing Based on BIM Considering Material Properties and Energy Modeling in a Tropical ClimateVicente Macas-Espinosa0Israel Portilla-Sanchez1David Gomez2Ruben Hidalgo-Leon3Julio Barzola-Monteses4Guillermo Soriano5Facultad de Arquitectura y Urbanismo, Universidad de Guayaquil, Av. Delta y Av. Kennedy, Guayaquil 090514, EcuadorFacultad de Arquitectura y Urbanismo, Universidad de Guayaquil, Av. Delta y Av. Kennedy, Guayaquil 090514, EcuadorFacultad de Arquitectura y Urbanismo, Universidad de Guayaquil, Av. Delta y Av. Kennedy, Guayaquil 090514, EcuadorCentro de Energías Renovables y Alternativas, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo, Km. 30.5 Vía Perimetral, Guayaquil 090902, EcuadorCentro de estudios en Tecnologías Aplicadas, Universidad Bolivariana del Ecuador, Km. 5.5 Vía Durán—Yaguachi, Durán 092405, EcuadorCentro de Energías Renovables y Alternativas, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo, Km. 30.5 Vía Perimetral, Guayaquil 090902, EcuadorThis work analyzes the potential impact of thirteen passive and active factors on a low-income housing (LIH) model in a tropical climate. For this purpose, a study of material properties and energy modeling using Building Information Modelling (BIM) is carried out, which helps to evaluate these factors’ energetic and economic implications. Two significant assessments are highlighted, namely active and passive factor analysis and dominant factor analysis. The research studied the architectural design of a one-story house measuring thirty-six square meters outlined by the Ecuadorian Construction Standard (NEC) chapter 15 part 4. A 3D architectural model was generated using Revit 2024 simulation software and subsequently employed to establish an energy model used in Autodesk Insight Software 2024 to assess the factors influencing energy consumption and annual energy expenses. The analysis included a comparison with a model of the house based on the ASHRAE 90.2 standard. The active and passive factors were ranked according to their impact on energy efficiency in the model. The results show that Energy Use Intensity (EUI) has a higher reduction for the ASHRAE model of 4.63%, with 21.60% for the Energy cost. The active factors exhibited a greater impact on the energy performance of the LIH than the passive factors, with the PV-Surface coverage being the factor that generated the highest EUI reduction, with 39.66% and 78.51% for both models. The study concluded by emphasizing the importance of adopting active strategies to achieve energy efficiency and economical house design.https://www.mdpi.com/1996-1073/18/6/1500energy efficiencylow-income housingmaterial propertiesenergy modelingBIMEUI |
| spellingShingle | Vicente Macas-Espinosa Israel Portilla-Sanchez David Gomez Ruben Hidalgo-Leon Julio Barzola-Monteses Guillermo Soriano Assessment of the Energy Efficiency and Cost of Low-Income Housing Based on BIM Considering Material Properties and Energy Modeling in a Tropical Climate Energies energy efficiency low-income housing material properties energy modeling BIM EUI |
| title | Assessment of the Energy Efficiency and Cost of Low-Income Housing Based on BIM Considering Material Properties and Energy Modeling in a Tropical Climate |
| title_full | Assessment of the Energy Efficiency and Cost of Low-Income Housing Based on BIM Considering Material Properties and Energy Modeling in a Tropical Climate |
| title_fullStr | Assessment of the Energy Efficiency and Cost of Low-Income Housing Based on BIM Considering Material Properties and Energy Modeling in a Tropical Climate |
| title_full_unstemmed | Assessment of the Energy Efficiency and Cost of Low-Income Housing Based on BIM Considering Material Properties and Energy Modeling in a Tropical Climate |
| title_short | Assessment of the Energy Efficiency and Cost of Low-Income Housing Based on BIM Considering Material Properties and Energy Modeling in a Tropical Climate |
| title_sort | assessment of the energy efficiency and cost of low income housing based on bim considering material properties and energy modeling in a tropical climate |
| topic | energy efficiency low-income housing material properties energy modeling BIM EUI |
| url | https://www.mdpi.com/1996-1073/18/6/1500 |
| work_keys_str_mv | AT vicentemacasespinosa assessmentoftheenergyefficiencyandcostoflowincomehousingbasedonbimconsideringmaterialpropertiesandenergymodelinginatropicalclimate AT israelportillasanchez assessmentoftheenergyefficiencyandcostoflowincomehousingbasedonbimconsideringmaterialpropertiesandenergymodelinginatropicalclimate AT davidgomez assessmentoftheenergyefficiencyandcostoflowincomehousingbasedonbimconsideringmaterialpropertiesandenergymodelinginatropicalclimate AT rubenhidalgoleon assessmentoftheenergyefficiencyandcostoflowincomehousingbasedonbimconsideringmaterialpropertiesandenergymodelinginatropicalclimate AT juliobarzolamonteses assessmentoftheenergyefficiencyandcostoflowincomehousingbasedonbimconsideringmaterialpropertiesandenergymodelinginatropicalclimate AT guillermosoriano assessmentoftheenergyefficiencyandcostoflowincomehousingbasedonbimconsideringmaterialpropertiesandenergymodelinginatropicalclimate |