Ecuadorian Social Housing: Energetic Analysis Based on Thermal Comfort to Reduce Energy Poverty

2022 ◽  
pp. 209-224
Author(s):  
E. Delgado-Gutierrez ◽  
J. Canivell ◽  
D. Bienvenido-Huertas ◽  
C. Rubio-Bellido ◽  
D. Delgado-Gutierrez
2021 ◽  
Vol 13 (3) ◽  
pp. 1257
Author(s):  
Luis Godoy-Vaca ◽  
E. Catalina Vallejo-Coral ◽  
Javier Martínez-Gómez ◽  
Marco Orozco ◽  
Geovanna Villacreses

This work aims to estimate the expected hours of Predicted Medium Vote (PMV) thermal comfort in Ecuadorian social housing houses applying energy simulations with Phase Change Materials (PCMs) for very hot-humid climates. First, a novel methodology for characterizing three different types of social housing is presented based on a space-time analysis of the electricity consumption in a residential complex. Next, the increase in energy demand under climate influences is analyzed. Moreover, with the goal of enlarging the time of thermal comfort inside the houses, the most suitable PCM for them is determined. This paper includes both simulations and comparisons of thermal behavior by means of the PMV methodology of four types of PCMs selected. From the performed energy simulations, the results show that changing the deck and using RT25-RT30 in walls, it is possible to increase the duration of thermal comfort in at least one of the three analyzed houses. The applied PCM showed 46% of comfortable hours and a reduction of 937 h in which the thermal sensation varies from “very hot” to “hot”. Additionally, the usage time of air conditioning decreases, assuring the thermal comfort for the inhabitants during a higher number of hours per day.


2021 ◽  
Vol 36 (2) ◽  
pp. 197-209
Author(s):  
V. Nieto-Barbosa ◽  
R. Cubillos-González ◽  
R. Barrios-Salcedo

2021 ◽  
Vol 13 (19) ◽  
pp. 10646
Author(s):  
Karla G. Cedano ◽  
Tiare Robles-Bonilla ◽  
Oscar S. Santillán ◽  
Manuel Martínez

The increase of energy access to households has been a global priority. By 2018, 89.59% of the world population had access to electricity, while 97.26% of the persons living in urban areas (The Mexican Government reports it at 99.99%) had access. We must now move beyond access to electricity and address energy poverty in urban spaces. A household is energy poor when their inhabitants are incapable of securing proper domestic energy services. Several different methodologies were developed to measure energy poverty. The Multidimensional Energy Poverty Index (MEPI) by Nussbaumer has been successfully used in Africa and in Latin-America. The MEPI considers five dimensions: cooking, lighting, household appliances, entertainment/education and communication. We developed a Multidimensional Energy Deprivation Index (MEDI), based on MEPI. Thermal comfort has been included as sixth dimension, by considering the temperature of the region where the household is located. We found important differences between MEPI and MEDI for Mexico at the national level (urban-MEPI at 0.028 vs. 0.071 urban-MEDI, which implies a higher degree of energy poverty). Also, differences between geopolitical and bioclimatic regions were found. Having better ways to assess energy poverty in the urban context is a key factor to develop effective public policies that might alleviate it.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alvaro Garay ◽  
Angie Ruiz ◽  
Jose Guevara

PurposeThis study aims to analyze the technical, environmental, economic and thermal comfort impacts of implementing passive measures and heating systems in Ciudad Verde, a large-scale social housing project located at the periphery of Bogota, Colombia.Design/methodology/approachA system dynamics (SD) model is proposed to evaluate scenarios through counterfactual experiments, including technical, environmental and economic components. Model inputs are obtained from building energy simulation models and data collected from official reports, public policy documents and construction records.FindingsResults suggest that the use of heating systems is the best choice to achieve thermal comfort conditions throughout the day. However, both the capital expenditures and CO2 emissions associated with such system make their adoption very difficult. In line with that, the use of heating systems in combination with passive measures stands out as a viable solution since their costs are affordable and their use contributes to reducing CO2 emissions.Originality/valueThe proposed model recreates the dynamics underlying social housing construction processes, the adoption of heating systems and passive measures in low-income dwellings and their corresponding impact on CO2 emissions and indoor thermal comfort conditions. The model can be employed as a support tool in the formulation of social housing policies associated with thermal comfort specifications. In this way, the model represents a first step toward incorporating thermal-related variables into the decision-making processes related to social housing planning and development.


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