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Proceeding Paper

Thermal Performance of Partially Bermed Earth-Sheltered House: Measure for Adapting to Climate Change in a Tropical Climate Region †

by
Ivan Julio Apolonio Callejas
1,*,
Luciane Cleonice Durante
1,
Emeli Lalesca Aparecida da Guarda
2 and
Raquel Moussalem Apolonio
2
1
Docentes do Departamento de Arquitetura e Urbanismo, Faculdade de Arquitetura, Engenharia e Tecnologia, Universidade Federal de Mato Grosso, Av. Fernando Corrêa da Costa, 2367, Boa Esperança. Cuiabá, 78060-900 Mato Grosso, Brazil
2
Pesquisadoras Associadas do Departamento de Arquitetura e Urbanismo, Faculdade de Arquitetura, Engenharia e Tecnologia, Universidade Federal de Mato Grosso, Av. Fernando Corrêa da Costa, 2367, Boa Esperança. Cuiabá, 78060-900 Mato Grosso, Brazil
*
Author to whom correspondence should be addressed.
Presented at the First World Energies Forum, 14 September–5 October 2020; Available online: https://wef.sciforum.net/.
Proceedings 2020, 58(1), 32; https://doi.org/10.3390/WEF-06919
Published: 11 September 2020
(This article belongs to the Proceedings of The First World Energies Forum—Current and Future Energy Issues)

Abstract

:
This study addresses passive adaptation strategies to reduce the effects of global warming on housing, focusing on low-income houses, for which passive adaptation strategies should be prioritized, aiming for environmental sustainability. The passive strategy chosen is thermal mass for cooling, through the adoption of earth-sheltered walls in contact with the ground. Thus, the goal of this study is to evaluate the thermal load and thermal impact of implementing a thermal mass strategy for cooling, using bermed earth-sheltered walls in bedrooms, for a building located in a tropical climate region. For that, a base scenario (1961–1990) is considered alongside two future scenarios: 2020 (2011 to 2040) and 2050 (2041 to 2070), both considering the effects of climate change, according to the Fourth Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The methodologies adopted are (i) the computational simulation of the annual thermal load demand and (ii) the quantification of the Cooling Degree-Hours (CDH) with the subsequent comparative analysis. The results show that in both the 2020 and 2050 scenarios there will be an increase in the thermal loads for cooling and the CDH, regardless of using a bermed earth-sheltered wall. Nonetheless, it is shown that this passive strategy works as a global warming adaptation measure, promoting building sustainability in tropical climate regions.

Published: 11 September 2020

1. Introduction

Building geometry and orientation, construction materials, and climate conditions are important factors to consider when designing new buildings, especially in order to achieve adequate energy and thermal performance. Thus, bioclimatic passive strategies are important measures to be considered during the design phase. For hot regions, thermal mass for cooling is an alternative passive measure. Used to adequate a building to its implantation climate, the thermal inertia of the walls can be used to accumulate and retain heat during the day and return it to the exterior environment at night. This behavior reduces the indoor air temperature fluctuations, which oscillate in a damped manner [1,2]. Thus, this bioclimatic measure may reduce the use of active air conditioning systems during hot days, potentially saving energy and improving thermal comfort in an indoor environment.
In a hilly site, building walls may be designed to be in contact with the earth, increasing its thermal mass properties. In the “elevational” bermed design, the house’s main elevation or face, usually with the south-facing wall in cold regions and with a norther-facing wall in hot climatic zones, remains unexposed while the rest may be bermed by the earth. This type of construction, named Earth sheltered building, is defined as a structure built with the use of earth mass against building walls working as external thermal mass to the wall, which reduces heat loss and maintains a steady indoor air temperature throughout the seasons [3]. When the earth is in contact with building walls, it acts as a reservoir, storing the heat in vast spaces inside the soil and modulating indoor air temperatures at different meteorological conditions [4]. For this reason, the bermed-type construction is considered as an alternative measure to adapt buildings to the impacts of climate change, one of the most important global concerns at present.
Vast knowledge about climate change, motivated by anthropogenic actions and based on greenhouse gas (GHG) emissions, has been released by the Intergovernmental Panel on Climate Change (IPCC). The IPCC has published various scientific reports on which the behavior of terrestrial ecosystems is studied by scientists from a wide range of fields [5,6]. An increase in the number of hot days in most land regions is expected, with the highest increases in the tropics; therefore, the potential effect of climate change in the building environment is a critical issue, especially concerning its design and operation. Furthermore, global warming will directly affect the thermal behavior of buildings, increasing hot season cooling, and decreasing cold heating demand, raising its energy consumption during the operational phase [7]. Thus, the strategic framework conceived to mitigate and adapt building environments to climate change increases the importance of the thermal mass effect as a strategy to counterattack its impacts, especially in warm regions such as those located in South America.
Thus, this study aims to evaluate the thermal loads’ demand and performance impact of implementing a thermal mass strategy for cooling, using bermed earth-sheltered walls in bedrooms within a residential building located in a region with a tropical climate. The analyses are made considering a base Scenario (without the influence of climate change) and two future scenarios (2020 and 2050) contemplating climate change effects, according to the Fourth Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC).

2. Materials and Methods

2.1. Local Climate Identification and Bioclimatic Zone Characterization

A single-family low-income house (LIH) is located in a region of the Tropical Savannah climate (Aw), characterized by high air temperature throughout the year, wide hygrothermal variations, and an undefined or absent winter season [8]. Similar climate classifications can be found in several locations around the world, such as Africa and South America, especially in regions located between the Equator and Tropics of Capricorn (Figure 1). The climate database of the Cuiabá city, which is located in the Mid-East, Brazil, in the geometric center of Latin America (Latitude 15°36′56″ S and Longitude 56°06′01″ W) is used as a base of this research.
The Brazilian Bioclimatic Zoning establishes a set of technical and constructive recommendations for the implantation region, to optimize the thermal performance of buildings through a better climatic adaptation [1]. The recommendations and constructive guidelines to adequate an LIH for the Savannah climate region are detailed in Table 1, in accordance with the Brazilian Bioclimatic and as prescribed by the Brazilian Technical Quality Regulation for Energy Efficiency Level of Residential Buildings (RTQ-R) [10]. This research focuses on whether the thermal mass strategy is an adequate passive measure to adapt a building to climate change.

2.2. Characterization of the Study Case

Typical low-income housing, widely replicated in all regions of Brazil by the Brazilian government under the social housing program named “My House My Life”, was chosen for this study [11] (Figure 2a). This choice is based on the fact that this population is the most vulnerable to the impact of climate change, especially in developing countries. Besides that, this typology is handed out to the users without any concern of climatic adaptation to the implantation region, with poor thermal performance. The standard building project, thereafter, named as “LIHs”, is characterized by a one-story detached house in contact with the ground. LIHs present 39.18 m2 of total area and 34.54 m2 of internal floor area, distributed in four designated areas, namely: living room/kitchen (17.44 m2), bedroom 1 (7.78 m2), bedroom 2 (7.57 m2), and bathroom (1.75 m2) (Figure 2a–c). The roof construction is dual pitched with an overhang of 0.30 m depth. The ceiling height of the spaces is 3.00 m.
Regarding openings, living room and bedroom spaces present metallic sliding windows with dimensions of 1.50 × 1.00 m and 1.20 × 1.00 m, respectively, composed of four panels, two of them being single glass fixed panels and the other two sliding metallic Venetian panels. The kitchen window is a metallic tilting type, 1.00 × 1.00 m in size. The external doors are made of metallic sheet, while interior doors are made of wood. The external walls and internal partitions consist of ceramic bricks (six-hole type) coated on both sides with plaster. The roof is composed of ceramic tile, an air gap layer, and Polyvinyl chloride (PVC) ceiling panels. The Brazilian Association of Technical Standards (ABNT) NBR 15.220 [1] standard was used to select the design strategies and to determine the thermal properties of the building materials, which are presented in Table 2. Regarding the air gap, this layer presents 0.21 m2K/W thermal resistance (R-value), with a thickness greater than 0.05 m and high emissivity.
To verify the thermal inertia strategy, bermed earth-sheltered walls were placed in the original housing design (hereafter named as LIHs), so certain walls have direct contact with the ground, resulting in the “LIHb” design strategy. For that, the external walls of bedrooms 1 and 2, which do not present openings, were selected to be 3.00 m (ceiling height) underground earth-sheltered (Figure 3). The bermed earth-sheltered walls were evaluated in all four cardinal orientations (Figure 4). This strategy allows for taking advantage of natural sloping ground while providing a passive design measure to improve indoor building thermal habitability.

2.3. Simulation Method

The impact of the bermed earth-sheltered wall in the house performance was analyzed by comparing the results generated by the LIHs and LIHb typologies. The predictions were evaluated considering the energy efficiency level in line with RTQ-R [10] and through the quantification of the cooling degree-hours required for three distinct climatic scenarios: base scenario (1961 to 1990 period), 2020 future scenario (2011 to 2040), and 2050 future scenario (2041 to 2070), the last two presenting the climate change influence.
To evaluate the thermo-energetic performance of the strategy, the EnergyPlus [12] software was used through the GroundDomain: Basement (GDomain) input, which calculates the temperature of the interface between the soil, the external walls, and the slab of the bermed earth-sheltered spaces, obtained three-dimensionally by the simulations [13]. Thus, the simulation was carried out considering temperature models named “Finite Difference”, which use a model with finite differences to obtain the soil heat transfer. The manual developed by [14] was used as a reference to the Ground Domain input data. The default soil data were utilized in this research, following the Energyplus Engineering Reference manual [15] (Table 3).
The Ground Domain requires the monthly soil temperature data, which were calculated using the Slab input tool (Table 4).
The occupancy and equipment power density data were adopted following RTQ-R [10], considering 2 people in each bedroom and 4 people in the living room. Regarding the occupancy metabolic activity rate, 45 W/m2 was considered in bedrooms while 60 W/m2 was set for the living room. The lighting power densities adopted were 5.0 W/m2 in the living room and 6.0 W/m2 in the bedrooms. The occupancy schedule estimates that the bedrooms are used from 9 p.m. to 8 a.m. for weekdays and from 9 p.m. to 10 a.m. for weekend days while the living room is used from 2 p.m. to 9 p.m. for weekdays and from 11 a.m. to 9 p.m. for weekend days.

2.4. Generating Future Climate Scenarios Weather Data

The “morphing” methodology, developed and described in [16], was adopted in this research, aiming to analyze the implications of climate change on the building’s thermal/ energy performance. The morphing method has been used to generate future EPW (EnergyPlus Weatherfiles) for any location in the world employing Climate Change World Weather File Generator for World-Wide Weather Data (CCWorldWeatherGen) tool [17,18,19,20,21,22]. This methodology considers the climatic anomaly by modifying a set of historical climatic variables (1961–1990) of 8760 h per year, disregarding the influence of urbanization while incorporating the effects of global warming on the climate archives, making obtaining projections of future climate data possible.
The CCWorldWeatherGen tool consists of an excel template that couples the EPW weather files to the “Hadley Centre Coupled Model version 3” (HadCM3) General Circulation Model (GCM). The HadCM3 is a coupled atmosphere–ocean general circulation model and has a resolution of 417 km × 278 km in the Equator region and 295 km × 278 km at 45° Latitude, coupling the A2 Scenario of the IPCC 4th Assessment Report (AR4) for the 2020s time-slice (which covers the 2011–2040 period) and also the 2050s time-slice (2041–2070 period). The selected time-slices were based on a 50-year period, which is the building life expected for low-income houses.

2.5. Indicators for Evaluation for Thermal Load Demand and Thermal Performance

2.5.1. Estimation of the Thermal Load Demand According to the Thermal Balance Method

According to [23], the thermal load of a building is defined as the amount of heat from the air that must be removed, in the case of cooling, or added, in the case of heating, to maintain adequate indoor thermal comfort conditions. These loads result from heat gains from internal sources, such as lighting, people, equipment, artificial conditioning (HVAC), ventilation and infiltrations and, external sources, such as heat transfer through the building envelope. In this sense, thermal energy demand can be estimated using thermal balance based on the magnitude of the internal load and the heat exchanges by building vertical and horizontal sealing systems. This methodology was proposed by [24] as a strategy measuring thermal loads for cooling and heating in kWh.
For this purpose, the “Input Output Reference and Engineering Reference” of the EnergyPlus software was used to quantify the thermal balance, considering the cooling and heating load demand through an ideal load air conditioning system (HVACTemplate: Zone: IdealLoadAirSystem) that estimates the ideal thermal load required to maintain the indoor thermal balance. In this work, only the bedrooms were built with bermed earth-sheltered walls once the influence of the thermal mass in other occupied spaces’ performance was not relevant.
The monthly average annual energy thermal load for cooling and heating (kWh) (neglected due to low frequency of cold day occurrence) of the bedrooms was calculated through the Output: Zone Ideal Loads Zone Total Cooling Energy output, which includes lighting, equipment air infiltration, and HVAC thermal loads in the calculation. For that, the temperature range had to be defined in HVACTemplate: Thermostat input, defined as 29.26 °C for cooling and 22.54 °C for heating following the comfort range recommended by De Dear e Brager [25], applied in the region of Cuiabá-MT/ Brazil [26]. The operating schedule from 9 p.m. to 8 a.m. was considered for the calculation of the HVAC thermal loads. To the other period (9 a.m. to 8 p.m.), Naturally Ventilated housing was adopted, following RTQ-R [10]. The estimated thermal loads for the base (1961–1990) and future climate change scenarios (2020 and 2050) are expressed in kWh /month for each typology under study (LIHs and LIHb).

2.5.2. Indicator of the Envelope Performance by RTQ-R

The Cooling Degree-Hours (CDH) parameter was used as indicators of building thermal performance under natural ventilation conditions under the RTQ-R recommendations [10]. The Heating Degree-Hours parameter (HDH) was ignored due to their low occurrence in the study region. The base temperature used to calculate the CDH was set at 26 °C, which was obtained using Equation (1):
CDH =   8760 i = 0 {       f o r   T o p > 26 ° ;     ( T o p 26 ° ) f o r   T o p 26 ° ;                             ( 0 ) ,
This indicator was estimated annually based on the internal operating temperature (Top) at the two bedrooms considered as long permanence rooms as stated in the RTQ-R [10]. Only one indicator was considered in the thermal performance evaluation, obtained by the ponderation of the room areas. To classify the building’s energy efficiency, the indicator proposed for the Brazilian bioclimatic zone in the RTQ-R was used. In this evaluation, Naturally Ventilated housing was considered for 24 h a day [10]. The efficiency level of the envelope varies from level A (CDH ≤ 12.566 °Ch) to level E (CDH > 30.735 °Ch), as presented in Table 5. Occupancy and internal thermal loads were considered in the simulation, which was carried out for the 8.760 h of the year [10].

3. Results and Discussion

3.1. Thermal loads in Accordance with the Thermal Balance Method

The thermal loads of both models were quantified by summing the cooling thermal loads of the bedrooms, which was not considered in other house spaces since the strategy had a low impact on their performance. Since the region does not present a well-defined winter season, there are no heating loads in this case, with lower temperatures only occurring during cold weather fronts. It should be noticed that thermal loads values refer to the thermal energy required for cooling; therefore, they are not the real consumption of an HVAC system in operation.
The thermal load demand of both the reference typology (LIHs) and the thermal mass strategy with the bermed earth-sheltered walls (LIHb) can be seen in Figure 5. In LIHs typology, the highest monthly average annual thermal demand in the bedrooms occurs when bedroom walls are oriented to the North (87 KWh/year) and the lowest demand occurs when the walls are oriented South (70.5 KWh/year). Similar results to the latter are obtained when the walls are oriented West (71 KWh/year). Therefore, the best position to locate the house, when the thermal mass strategy is not set in the building, is orienting the bedroom walls South, while the main façade of the house is oriented North, resulting in a 19% reduction in the monthly average thermal load demand.
The incorporation of the thermal mass strategy in the house provides a reduction in the thermal loads demand of the bedrooms for all the orientations considered (Figure 5). In LHIb, differently from the LIHs demand pattern, the highest monthly average thermal load demand of the bedrooms can be seen when the main façade is oriented to the South (68 KWh/year), while the lowest is obtained when the main façade is oriented West (49 KWh/year), providing a reduction of 19 KWh in the monthly average annual thermal demand (28%).
Based on the previous findings, the design consideration for thermal mass strategy orientation follows a different recommendation regarding that observed for buildings without its use. In this sense, the adoption of the strategy in bedrooms with the bermed earth-sheltered walls oriented South is not recommended, since the difference in the monthly average annual thermal load demand between LIHs and LIHb typologies is inexpressive (3.5%). On the other hand, the other orientations tested present a 24 to 31% reduction in thermal load demand, with a greater reduction in the West. Thus, from a technical perspective, this measure is recommended for the tropical climate region as an alternative to improve building thermal load performance, and consequently, energy consumption. The strategy impacts are similar to those observed in previous studies. Thermal performance analysis of earth-sheltered residential building was conducted in the city of Yazd, in Iran (hot and dry region). In that case, the total energy consumption of a residential 0.5 m deep earth-sheltered was reduced by about 45% [27]. The reduction was more expressive than in this work because all sides of the earth-sheltered building were covered by soil. In turn, in the Mediterranean climate, the annual air-conditioning energy demand of a building with southern elevation located in Poznan (Poland), installed above and under the ground with 0.1 m of thermal insulation thickness, was reduced from 13 to 42%, depending on the type of soil on which building was founded [28].
Regarding the impact of climate change, it is observed that the global warming projections influence the monthly average annual thermal load demand for cooling within the spaces under study, considering that the location of the house presents a tropical climate. In the 2020 future scenario, the impacts are high in the LIHs typology, varying from 69 to 89% when compared to the base scenario, depending on the orientation. The same trend is observed for the LIHb typology, but with lower values, between 69 and 91%. In the 2050 scenario, the thermal load demand doubles for all orientations when compared to the base scenario: from 131 to 157% in LIHs and from 134 to 181% in LIHb. These projections are similar to the previous studies conducted in South America for similar low-income houses [20,22,29].
Despite the thermal load reduction, the LIHb serves as an effective alternative to counteract the effects of climate change since its performance always remains superior to that of LIHs typology. For the 2020 scenario, the reduction provided by the implementation of the strategy when compared to the monthly average annual thermal load demand of the building without its implementation is significant, varying from 11 to 27% depending on the orientation. The same occurs for the 2050 scenario, with a variation between 11 and 25%. The highest reduction in thermal load was observed when the thermal mass strategy is positioned facing West, with a 26% average reduction.
Previously isolated measures tested in similar low-income houses located in the southeastern and northeast regions of Brazil were also effective in reducing the building energy consumption of HVAC [22]. The three best performing solutions were found when the wall absorptance in buildings was reduced to 0.3 (reduction in the base scenario: 21.86% | 2050: 20.98%), when the brick wall was substituted by insulated concrete (40.82% | 21.74%), and when the clay roof was replaced by a metal roof with 0.07 m of insulation and solar absorptance 0.3 (34.07% | 23.64%). Note that the thermal mass strategy provided by bermed earth-sheltered walls, when compared to the previous strategies, is as effective as the previous strategies indicated in reducing thermal loads, in turn, improving the energy consumption of the building. Thus, as an isolated passive adaptation measure, as well as the other strategies tested in the previous study, it is not capable of completely counterbalance the impact of climate change on the thermal load demand, and consequently, in energy consumption. This in part may be related to the poor building thermal envelope without any concern of climatic adaptation to the region where LIH has been implanted. However, when combined with other adaptation measures it may be an alternative to improve the building envelope and counterattack the effect of global warming [20,22,29].

3.2. Envelope Performance According to RTQ-R

The CDH performance behavior differs from that observed in thermal load demand. When operating with HVAC conditioning, the thermal exchanges caused by the winds, that may affect the indoor’ spaces, are minimized since the windows remain closed and the winds basically remove heat from external facades, entering in indoors spaces by fenestrations that exists on the window’s panel (Figure 6). For LIHs typology, the worst average performance is observed when walls are oriented to the North (24,137 °Ch). In contrast, the best average performance is obtained when the walls are oriented West (21,399 °Ch). In this case, a 11% reduction in the CDH is achieved, being the best orientation for the building without the bermed earth-sheltered wall.
Similar to the thermal load’s case, the incorporation of the thermal mass strategy with bermed earth-sheltered walls provides a CDH reduction in bedrooms for all orientations (Figure 6). For LIHb, the worst performance is seen when the bermed earth-sheltered walls are oriented to the South (22,533 °Ch) and the best performance occurs when the walls are oriented to the West (18,501 °Ch, 14.5% reduction). Therefore, the worst performance scenario at LIHb differs from LIHs.
Regarding the performance of the CDH, the same design recommendation for the orientation of the thermal mass strategy for buildings without a bermed earth-sheltered wall should be followed for the building with its installation. Except for the case of the façade oriented to the South, where the reduction is inexpressive and therefore the incorporation of the thermal mass strategy is not recommended (4.5%), in the other orientations, a reduction in the CDH is observed, varying from 12 to 16%, despite being less expressive than that observed in the previous thermal load analysis. Notice that LIHs typologies presented presents an intermediate performance, with level “C” energy efficiency rating (18,622 < CDH ≤ 24,679 °Ch), in all orientations evaluated in the base scenario. In turn, the incorporation of bermed earth-sheltered strategy improved original buildings’ thermal performance in the East and West orientations, bringing the LIHb energy efficiency to level “B” (12,566 < CDH ≤ 18,622 °Ch).
The rise in the air temperature due to climatic conditions, which may prevail in future periods due to climate change, will progressively impact the heat transfer process between exterior and interior environments, reducing the indoor heat removal through natural ventilation. In the 2020 scenario, the impact of global warming increases the CDH in bedrooms of both LIHs and LIHb typologies by almost 60%. In the 2050 scenario (2041–2060 period), the CDH has duplicated in almost all orientations compared to the base scenario, for both LIHs (105 to 117%) and LIHb (113 to 128%) (Figure 6).
Despite the observed impacts, LIHb typology is proposed as a suitable measure to counterbalance the effects caused by climate change in a situation where the natural ventilation occurs 24 h per day but with less impact than that observed in thermal balance analysis, in which the HVAC system is switched on at night when the indoor temperature is above the thermal comfort temperature, as defined by the adaptive model. In the 2020 scenario, the reduction provided by the implementation of the strategy varies from 4 to 12%, depending on the orientation, when compared to the thermal performance of the building without the strategy. The same occurs in the 2050 scenario, with a variation between 3 and 10%. The highest reduction in the thermal performance was shown when the thermal mass strategy was oriented to the West, with a 10.5% average reduction. The climate change impact was also observed in previous studies conducted in South America for similar low-income houses [20,22,28]. The aforementioned studies also tested the effectiveness of isolated measures to reduce the building CDH [22]. Results are similar to those observed for energy consumption but differ in terms of percentage: the wall with solar absorptance 0.3 (base scenario: 34.28% | 2050: 25.97%), concrete wall with insulation (55.55% | 37.14%), and clay roof replaced by a metal roof with 0.07m of insulation and solar absorptance 0.3 (57.87% | 39.88%). One may note that, in terms of CDH, the bermed earth-sheltered strategy is less expressive when compared to the measures tested in the previous study [22]. This may be attributed to the default values of soil properties utilized in the simulation as they influence the building’s thermal performance [14]. In future research, it is recommended to characterize local soil properties.
Finally, because of the future trend of air temperature raising foreseen in the future climate change scenarios, the building efficiency level, which is “C” for LIHs and “B” in the LIHb (in East and West orientation—graphic color was changed to match with the Brazilian Level of Efficiency listed in Table 5) in the base scenario, decreases when the future potential impacts of climate change are incorporated into the weather data. In the 2020 scenario, the building energy efficiency is reduced to level “E” (exception in LIHb for East and West orientation, where Level is “D” reached). In the 2050 scenario, all buildings’ bedrooms became level “E” (red dark color is used to differentiate from the 2020 scenario).

4. Conclusions

This research studies the impact of incorporating bermed earth-sheltered walls to improve the thermos-energetic performance of a low-income building to counterattack climate change in regions of a tropical climate. This passive measure may be implemented in hilly sites to take advantage of natural sloping grounds to improve indoor thermal comfort conditions.
The thermos-energetic analysis indicated that the use of bermed earth-sheltered walls as a thermal mass for the bedrooms is a successful measure to improve building performance. Higher impacts are observed in thermal load demands than in the thermal performance, once the spaces in the former are not exposed to the thermal exchanges resulting from natural ventilation, since the windows remain closed when the HVAC system is operating.
The reduction in thermal loads for cooling varied from 24 to 31%, being more relevant when the bermed earth-sheltered walls were oriented to the West, that is, when the main façade of the building was oriented to the East (causing a 31% reduction when compared to the baseline case). The Cooling Degree-Hours, evaluated when the building is in a naturally ventilated mode, suffer reductions ranging from 12 to 16%, with better performance also following when the main façade oriented to West (reduction of 13.5% compared to the baseline case). The lower reduction observed in all walls’ orientation may be attributed to the default values of soil properties utilized in the simulation.
The effects of climate change cause significant impacts on both operating modes, idealized for the building long permanence rooms. In the 2020 scenario, the increase in thermal load demand for cooling is over 67% for LIH, with and without the implementation of the bioclimatic strategy of bermed earth-sheltered walls, while in the 2050 scenario, in some cases, it exceeds 131%. Similar performance was observed in Cooling Degree-Hours, with an increase of 50 and 105%, in the 2020 and 2050 scenarios, respectively. In these future scenarios, the reduction provided by the implementation of the strategy varies from 3 to 12%, depending on the orientation, when compared to the consumption of the building without the strategy. Again, the highest reduction in thermal load was shown when the thermal mass strategy was oriented to the West, with a 27.7% reduction in average. Thus, because of future potential impacts of climate change, the building efficiency level, which is “C” in the base scenario (exception in LIHb for East and West orientation, where Level is “B”), decreases to level “E” in the 2050 scenario. However, it should be pointed out that, for a fair judgment, the energy efficiency benchmarks should also be corrected for the climate change effects.
The increase in thermal loads for cooling, as well as in the Cooling Degree-Hours, is clear when the effects of climate change are incorporated into the weather data and thermos-energetic simulations. In that regard, the adoption of the strategy in bedrooms with the bermed earth-sheltered walls oriented South is not recommended, since the difference in the annual thermal energy demand for cooling between LIHs and LIHb typologies is inexpressive (both in the base and future scenarios). The same occurs for the Cooling Degree-Hours indicator when the thermal mass is oriented to the North. However, in the other orientations, the building with bermed earth-sheltered walls (LIHb) always displays better performance than the building without it (LIHs), demonstrating the positive impact of this measure. Thus, bermed earth-sheltered walls constitute an alternative strategy to adapt to climate change effects. Therefore, the use of the thermal mass combined with other passives adaptation strategies may help to counterattack the climatic conditions which may prevail in future periods due to global warming on tropical climates.

Author Contributions

Conception and execution of the building simulation—E.L.A.d.G.; methodology—I.J.A.C. and E.L.A.d.G.; formal analysis—I.J.A.C. and L.C.D.; writing—I.J.A.C. and R.M.A.; reviewing and editing—L.C.D. and R.M.A.; visualization, E.L.A.d.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The Mato Grosso State Research Support Foundation (FAPEMAT) and Coordination for the Improvement of Higher Education Personnel (CAPES) for granting a master's degree scholarship (edict 017/2015).

Acknowledgments

The authors would like to thank the Federal University of Mato Grosso/ Brazil to support this research.

Conflicts of Interest

The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

References

  1. ABNT (Associação Brasileira de Normas Técnicas). NBR 15.220. Desempenho térmico em edificações; Associação Brasileira de Normas Técnicas: Rio de Janeiro, Brazil, 2005. [Google Scholar]
  2. Gagliano, A.; Patania, F.; Nocera, F.; Signorello, C. Assessment of the dynamic thermal performance of massive buildings. Energy Build. 2014, 72, 361–370. [Google Scholar] [CrossRef]
  3. Jideofor, A.A. Earth shelters: A review of energy conservation properties in earth sheltered housing. Energy Conserv. 2012, 31, 125–148. [Google Scholar]
  4. Cheng, B.; Peng, G.; Xibin, M.W.L. A numerical simulation of transient heat flow in double layer wall sticking lining envelope of shallow earth sheltered buildings. In Proceedings of the International Joint Conference on Computational Sciences and Optimization, Sanya, China, 24–26 April 2009; pp. 195–198. [Google Scholar]
  5. IPCC (Intergovernmental Panel on Climate Change). Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change; IPCC: Geneva, Switzerland, 2007. [Google Scholar]
  6. IPCC (Intergovernmental Panel on Climate Change). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change; IPCC: Geneva, Switzerland, 2014. [Google Scholar]
  7. Levesque, A.; Pietzcker, R.A.; Baumstark, L.; De Stercke, S.; Grübler, A.; Luderer, A. How much energy will buildings consume in 2100? A global perspective within a scenario framework. Energy 2018, 148, 514–527. [Google Scholar] [CrossRef]
  8. Callejas, I.J.A.; Biudes, M.S.; Machado, N.G.; Durante, L.C.; Lobo, F.A. Patterns of Energy Exchange for Tropical Urban and Rural Ecosystems Located in Brazil Central. J. Urban Environ. Eng. 2019, 13, 69–79. [Google Scholar] [CrossRef]
  9. Peel, M.C.; Finlayson, B.L.; McMahon, T.A. Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci. Discuss. Eur. Geosci. Union 2007, 11, 1633–1644. [Google Scholar] [CrossRef]
  10. INMETRO Instituto Nacional de Metrologia, Qualidade e Tecnologia. In Requisitos técnicos da qualidade para nível de eficiência energética de edifícios residenciais (RTQ-R); 2012. Available online: http://www.inmetro.gov.br/legislacao/rtac/pdf/RTAC001788.pdf (accessed on 1 May 2020).
  11. BRASIL. Ministério das Cidades (Org.). In Resultados do Programa Minha Casa, Minha Vida.; 2016. Available online: http://www.minhacasaminhavida.gov.br/ (accessed on 19 April 2018).
  12. DOE Department of Energy. EnergyPlus. 2016. Available online: https://energyplus.net (accessed on 13 May 2020).
  13. Resende, B.C.; Souza, H.A.; Gomes, A.P. Modelling of basement heat transfer in EnergyPlus simulation program. Ambiente Construído 2019, 19, 161–180. [Google Scholar] [CrossRef]
  14. Mazzaferro, L.; Melo, A.P.; Lamberts, R. Manual de simulação computacional de edifícios com o uso do objeto ground domain no programa EnergyPlus; LABEEE, UFSC: Florianópolis, Brazil, 2015. [Google Scholar]
  15. Department of Energy Efficiency and Renewable Energy. Engineering Reference. US. Documentation, EnergyPlusTM Version 8.5. 2016. Available online: https://energyplus.net/sites/all/modules/custom/nrel_custom/pdfs/pdfs_v8.9.0/EngineeringReference.pdf (accessed on 23 March 2018).
  16. Belcher, S.E.; Hacker, J.N.; Powell, D.S. Constructing design weather data for future climates. Build. Serv. Eng. Res. Technol. 2005, 26, 49–61. [Google Scholar] [CrossRef]
  17. Song, X.; Ye, C. Climate Change Adaptation Pathways for Residential Buildings in Southern China. Energy Procedia 2017, 105, 3062–3067. [Google Scholar] [CrossRef]
  18. Sabunas, A.; Kanapickas, A. Estimation of climate change impact on energy consumption in a residential building in Kaunas, Lithuania, using HEED Software. Energy Procedia 2017, 128, 92–99. [Google Scholar] [CrossRef]
  19. Wang, L.; Liu, X.; Brown, H. Prediction of the impacts of climate change on energy consumption for a medium-size office building with two climate models. Energy Build. 2017, 157, 218–226. [Google Scholar] [CrossRef]
  20. Invidiata, A.; Ghisi, E. Impact of climate change on heating and cooling energy demand in houses in Brasil. Energy Build. 2016, 130, 20–32. [Google Scholar] [CrossRef]
  21. Casagrande, B.; Alvarez, C. Preparação de arquivos climáticos futuros para avaliação dos impactos das mudanças climáticas no desempenho termoenergético de edificações. Ambiente Construído 2013, 13, 173–187. [Google Scholar] [CrossRef]
  22. Triana, M.A.; Lamberts, R.; Sassi, P. Should we consider climate change for Brazilian social housing? Assessment of energy efficiency adaptation measures. Energy Build. 2018, 158, 1379–1392. [Google Scholar] [CrossRef]
  23. ASHRAE American Society of Heating, Refrigerating and Air Conditioning Engineers. Standard 55—Thermal Environmental Conditions for Human Occupancy; American Society of Heating, Refrigerating and Air Conditioning Engineers: Atlanta, GA, USA, 2013. [Google Scholar]
  24. Pedersen, C.O.; Fisher, D.E.; Liesen, R.J. Development of a Heat Balance Procedure for Calculating Cooling Loads. ASHRAE Trans. 1997, 103, 459–468. [Google Scholar]
  25. De Dear, R.; Brager, G.; Cooper, D. Developing an Adaptive Model of Thermal Comfort and Preference—Final Report on ASHRAE RP 884; American Society of Heating Refrigerating and Air Conditioning Engineers: Atlanta, GA, USA, 1997. [Google Scholar]
  26. Guarda, E.L.A.; Durante, L.C.; Gabriel, E.; Domingos, R.M.A.; Mizgier, M.O.; Callejas, I.J.A. Influência do isolamento térmico de coberturas frente aos impactos das mudanças climáticas. In Proceedings of the Anais… XV Encontro Nacional de Conforto Térmico (ENCAC), João Pessoa, Brazil, 18–21 September 2019. [Google Scholar]
  27. Nasrollahia, N. , Abarghuieb, F.A. Thermal Performance of Earth-Sheltered Residential Buildings: A Case Study of Yazd. Naqshejahan 2017, 6, 56–67. [Google Scholar]
  28. Staniec, M.; Nowak, H. Analysis of the earth-sheltered buildings’ heating and cooling energy demand depending on type of soil. Arch. Civ. Mech. Eng. 2011, 11, 221–235. [Google Scholar] [CrossRef]
  29. Jorge, S.H.M.; Guarda, E.L.A.; Durante, L.C.; Callejas, I.J.A.; Blumenschein, R.N.; Rosseti, K.A.C. Climate change impact on energy consumption and thermal performance in low-income in Brazilian Savanna. In Proceedings of the International Conference for Sustainable Desing of the Built Environment (SBDE). London, UK, 12–13 September 2018. [Google Scholar]
Figure 1. Location of the city of Cuiabá in South America. Source: adapted from Peel et al. [9].
Figure 1. Location of the city of Cuiabá in South America. Source: adapted from Peel et al. [9].
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Figure 2. (a) Low-Income Housing, (b) Floor Plan and (c) Sections plans.
Figure 2. (a) Low-Income Housing, (b) Floor Plan and (c) Sections plans.
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Figure 3. Schematic section of the bermed earth-sheltered wall located in the bedrooms.
Figure 3. Schematic section of the bermed earth-sheltered wall located in the bedrooms.
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Figure 4. Variation of the embedded earth-sheltered wall orientation.
Figure 4. Variation of the embedded earth-sheltered wall orientation.
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Figure 5. Weighted monthly average annual thermal load of the bedrooms’ area.
Figure 5. Weighted monthly average annual thermal load of the bedrooms’ area.
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Figure 6. Weighted annual average Cooling Degree Hours indicator in baseline and future scenarios (color in East/West orientation on base scenario/2050s was changed to match with RTQ-R).
Figure 6. Weighted annual average Cooling Degree Hours indicator in baseline and future scenarios (color in East/West orientation on base scenario/2050s was changed to match with RTQ-R).
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Table 1. Recommendations and constructive guidelines for bioclimatic zoning of the building implantation.
Table 1. Recommendations and constructive guidelines for bioclimatic zoning of the building implantation.
CodeOpening’s RecommendationsGuidelines for Building EnvelopeStrategies for Passive Thermal Conditioning
Wall SystemRoof System
NBR 15220 1Small openings: 10% < A < 15%Shade openingsA: NRType: HeavyU ≤ 2.2; CT:NRφ ≥ 6.5 hSF ≤ 3.5%A:NRType: HeavyU ≤ 2.0; CT: NRφ ≥ 6.5 hSF ≤ 6.5%Evaporative Cooling; Thermal mass for cooling; Selective ventilation (Tint > Text)
RTQ-R 1A ≥ 5%α ≤ 0.6α > 0.6α ≤ 0.4α > 0.4No requirement established
U ≤ 3.70U ≤ 2.50U ≤ 2.30U ≤ 1.50
CT ≥ 130CT ≥ 130NRNR
1 A: floor area (%); α: absorptance (dimensionless); U: total thermal transmittance (W/m2K); CT: thermal capacity (kJ/(m2K); φ: thermal delay; SF: sun factor; NR: no requirement established; Tint: internal temperature; Text: external temperature.
Table 2. Thermal and physical properties of the building materials. Source: ABNT NBR 15.220 [1].
Table 2. Thermal and physical properties of the building materials. Source: ABNT NBR 15.220 [1].
Building EnvelopeConstruction LayersThickness (cm)α 1c 1 (J/KgK)λ 1 (W/m2K)ρ 1 (Kg/m3)
External walls and internal partitionsExternal plaster2.500.3010001.151800 Proceedings 58 00032 i001
Ceramic brick9.000.859201.051600
Internal plaster2.500.3010001.151800
RoofCeramic tile1.000.859201.051600 Proceedings 58 00032 i002
PVC ceiling1.000.309601.201300
1 α: absorptance (dimensionless); c: thermal capacity; λ: thermal conductivity; ρ: density.
Table 3. Input data considered in GDomain simulation.
Table 3. Input data considered in GDomain simulation.
Input DataAdopted Input Values
Ground Domain Depth (m)15
Soil Thermal Conductivity (W/mK)1.00 [15]
Soil Density (kg/m3)1200 [15]
Soil Specific Heat (J/kgK)1200 [15]
Mesh Density Parameter 6
Table 4. Monthly soil temperature for the base Scenario (1961–1990) and future estimates (2020/2050).
Table 4. Monthly soil temperature for the base Scenario (1961–1990) and future estimates (2020/2050).
Month1961–199020202050
January27.9428.7329.87
February27.7628.3229.71
March27.7328.6330.11
April26.7827.6529.59
May26.1027.0529.04
June25.6726.9028.32
July24.3524.8726.51
August26.3828.9530.82
September27.3629.0831.13
October28.3630.7832.62
November27.8329.0930.91
December28.2128.8730.26
Table 5. Building envelope efficiency according to the Brazilian Residential Buildings (RTQ-R).
Table 5. Building envelope efficiency according to the Brazilian Residential Buildings (RTQ-R).
Level of EfficiencyCooling Degree-Hours Condition
ACDH ≤ 12,566 °Ch
B12,566 < CDH ≤ 18,622 °Ch
C18,622 < CDH ≤ 24,679 °Ch
D24,679 < CDH ≤ 30,735 °Ch
ECDH > 30,735 °Ch
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Callejas, I.J.A.; Durante, L.C.; Guarda, E.L.A.d.; Apolonio, R.M. Thermal Performance of Partially Bermed Earth-Sheltered House: Measure for Adapting to Climate Change in a Tropical Climate Region. Proceedings 2020, 58, 32. https://doi.org/10.3390/WEF-06919

AMA Style

Callejas IJA, Durante LC, Guarda ELAd, Apolonio RM. Thermal Performance of Partially Bermed Earth-Sheltered House: Measure for Adapting to Climate Change in a Tropical Climate Region. Proceedings. 2020; 58(1):32. https://doi.org/10.3390/WEF-06919

Chicago/Turabian Style

Callejas, Ivan Julio Apolonio, Luciane Cleonice Durante, Emeli Lalesca Aparecida da Guarda, and Raquel Moussalem Apolonio. 2020. "Thermal Performance of Partially Bermed Earth-Sheltered House: Measure for Adapting to Climate Change in a Tropical Climate Region" Proceedings 58, no. 1: 32. https://doi.org/10.3390/WEF-06919

APA Style

Callejas, I. J. A., Durante, L. C., Guarda, E. L. A. d., & Apolonio, R. M. (2020). Thermal Performance of Partially Bermed Earth-Sheltered House: Measure for Adapting to Climate Change in a Tropical Climate Region. Proceedings, 58(1), 32. https://doi.org/10.3390/WEF-06919

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