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Article

Thermal Performance of Double-Pane Lightweight Steel Framed Walls with and without a Reflective Foil

ISISE, Department of Civil Engineering, University of Coimbra, 3030-788 Coimbra, Portugal
*
Author to whom correspondence should be addressed.
Buildings 2021, 11(7), 301; https://doi.org/10.3390/buildings11070301
Submission received: 25 May 2021 / Revised: 21 June 2021 / Accepted: 5 July 2021 / Published: 8 July 2021

Abstract

:
One strategy to increase energy efficiency of buildings could be the reduction of undesirable heat losses by mitigating the heat transfer mechanisms across the building envelope. The use of thermal insulation is the simplest and most straightforward way to promote thermal resistance of building elements by reducing the heat transfer by conduction. However, whenever there is an air cavity, radiation heat transfer could be also very relevant. The use of thermal reflective insulation materials inside the air gaps of building elements is likewise an effective way to increase thermal resistance without increasing weight and wall thickness. Some additional advantages are its low-cost and easy installation. In this work, the performance of a thermal reflective insulation system, constituted by an aluminium foil placed inside an air cavity between a double pane lightweight steel framed (LSF) partition, is experimentally evaluated for different air gap thicknesses, ranging from 0 mm up to 50 mm, with a step increment of 10 mm. We found a maximum thermal resistance improvement of the double pane LSF walls due to the reflective foil of around +0.529 m2∙°C/W (+21%). The measurements of the R -values were compared with predictions provided by simplified models (CEN and NFRC 100). Both models were able to predict with reasonable accuracy (around ±5%) the thermal behaviour of the air cavities within the evaluated double pane LSF walls.

1. Introduction

Buildings are a major key sector regarding energy consumption. In the European Union (EU), almost 50% of final energy consumption is used for heating and cooling, of which 80% is used in buildings [1]. Moreover, the building stock is responsible for approximately 36% of all CO2 emissions in the EU. Consequently, in order to achieve highly energy efficient and decarbonised buildings, European countries have established ambitious climate and energy targets, guaranteeing the conversion of existing building stock into nearly zero-energy buildings (NZEB’s) [1], and developing the use of renewable energy sources (e.g., solar) [2], thus implementing long-term refurbishment strategies.
One possible strategy to improve energy efficiency of buildings is the reduction of undesirable heat losses, by mitigating each heat transfer mechanism across the building envelope [3]: conduction, convection and radiation. The simplest and most straightforward way to promote thermal resistance of building elements is the use of thermal insulation, which significantly reduces heat transfer by conduction, although its effectiveness depends also on their position within the building element [4]. Moreover, this thermal insulation material also promotes sound insulation, mainly when fibrous insulation materials are used inside the air gaps [5].
Nowadays, highly efficient insulation materials are emerging with very low thermal conductivities, which are designated as super insulating materials (SIMs) [6]. Two common examples are vacuum insulating panels (VIPs) [7] and aerogels [8]. Nevertheless, the inadequate building design and use of these SIMs may contribute to increasing thermal bridges’ importance. In fact, thermal bridges are very relevant for thermal behaviour and energy efficiency of buildings, and could be responsible for up to almost one third of the heating energy needs [9]. As such, when using structural solutions containing materials with high thermal conductivity, such as steel, the significance of thermal bridges could be even greater [10].
Over recent years, the lightweight steel frame (LSF) construction system has attracted attention from buildings’ stockholders, mainly for low-rise residential houses, due to their inherent advantages [11]. Among these benefits are low weight, high mechanical strength, fast construction, reduced on-site disruption, high potential for recycling and reuse, high architectural flexibility, suitability for retrofitting, easy prefabrication, economical transportation and handling, superior quality, precise tolerances, high quality standards, humidity stability shape, and insect damage resistance.
Currently, there are several strategies to mitigate thermal bridges in LSF buildings’ components, such as thermal break strips [12,13,14], slotted steel studs [12,15,16] and continuous external thermal insulation composite system (ETICS) [17,18]. Notice that even slight modifications in the steel frame, such as in the stud flanges size and shape, may have a significative influence on LSF elements [19].
As mentioned before, another important heat transfer mechanism is convection. Therefore, another strategy to retain heat inside buildings, particularly in cold climates, is ensuring good airtightness of the building envelope [20], as well as inside the building elements, by using a continuous air barrier. Notice that besides thermal bridging, thermal bypass of cavities (convective heat flows through air leakage) could be also a weakness of LSF walls.
Moreover, regarding radiation thermal transfer, the use of thermal reflective insulation materials, such as a reflective low-emissivity foil or paint inside the air gaps of building elements (e.g., roofs and facade walls) is also an effective way to increase thermal resistance without increasing weight and wall thickness of these components, with the additional advantages of low cost and easy installation [21]. Jelle et al. [22] performed a very interesting state-of-the-art review about low emissivity materials for building applications for both opaque and transparent envelopes, such as windows, walls, roofs and floors.
Regarding the opaque building envelope, there are several strategies to take advantage of the radiation heat transfer mitigation, with the use of reflective foils [23] and paints [21] being the most established. In fact, the use of double pane elements (e.g., walls) with an air cavity, besides the extra thermal resistance provided by the air enclosure and a better humidity infiltration control, also allows to reduce the heat transfer by radiation whenever a low-emissivity surface is provided inside.
Bruno et al. [23] investigated the use of reflective thermal insulation in non-ventilated air gaps for refurbishment purposes, making use of exterior insulation panels. They measured an increase of the air gap thermal resistance up to seven times when commercial reflective panels were placed inside a non-ventilated air gap for the same wall sample thickness. Additionally, their numerical simulation results showed, for real-scale air cavities, that thermo-reflective panels can produce the same effect of at least 6 cm of traditional insulating materials (thermal conductivity of 0.030 W/(m∙K)), with the advantage of avoiding the need of additional space. Moreover, they found an optimal air gap thickness of 4–5 cm when using low-emissivity reflective foils.
Fantucci and Serra [21] presented several solutions regarding the use of low-emissivity paints in opaque building envelopes, with the purpose of improving their thermal performance by reducing heat losses, given the smaller radiation heat exchange; this research work was mainly experimental. In this work, several case studies were presented, such as: (i) hollow bricks coated with low-emissivity paint; (ii) low-emissivity paint coating below roof tiles, and; (iii) low-emissivity paint on the walls behind radiators. Regarding these case studies, their experimental results allowed the following conclusions: (i) the equivalent thermal conductivity of the hollow bricks was reduced by 18%; (ii) the summer heat loads across a roof component were reduced by 19%, and; (iii) the heat loss from the wall behind radiators was reduced by 25%.
As recently stated by Bruno et al. [23], there is a lack of investigations about heat transfer inside enclosures equipped with low-emissivity materials. This lack is even more noticeable in LSF double pane elements containing an air cavity with a reflective foil; no research work addressing this issue was found in the literature.
In this work, the performance of a thermal reflective insulation system, constituted by an aluminium foil placed inside an air cavity between a double pane LSF partition, is experimentally evaluated for different air gap thicknesses, ranging from 0 mm up to 50 mm, with a step increment of 10 mm. First, the description of materials and methods are performed, including the LSF walls description and materials characterization. In this section, the experimental lab tests are also presented, together with the experimental setup, set points, test procedures and verifications. Moreover, the description of the numerical simulations used to verify and compare with the measurement results are carried out, namely the geometry, domain discretization, boundary conditions and unventilated airspaces models. Next, the obtained results are presented and discussed, and related to both lab measurements (thermal resistances and infrared thermography) and numerical simulations. Finally, the key conclusions of the present work are listed.

2. Materials and Methods

The aim of this section is to describe the tested LSF double pane walls and characterize the used materials. Moreover, the experimental setup is explained, and the test procedures described. Finally, a numerical simulation verification is performed to ensure the accuracy and reliability of the achieved experimental results.

2.1. Walls Description

Figure 1 displays a horizontal cross-section of the double pane LSF wall internal partitions evaluated in the lab experiments. Each LSF wall pane has steel studs (C48 × 37 × 4 × 0.6 mm) with 400 mm spacing, filled between with mineral wool (MW) (48 mm thick). On the outer surface there are two gypsum plasterboard (GPB) panels with a total thickness of 25 mm. The air cavity thickness is variable and changes from 50 mm down to 0 mm, with 10 mm step. Moreover, another variable parameter was the use of a reflective aluminium foil (emissivity of 0.05) on the outer surface of the air cavity.

2.2. Materials Characterization

Table 1 shows the thickness and the materials’ thermal conductivities considered in the double pane LSF wall internal partitions tested in this research work. Notice that aluminium reflective foil thickness is very reduced (around 0.1 mm) and, therefore, its thermal conductive resistance was neglected. The emissivity of this aluminium reflective foil is 0.05 [23], the cold-formed galvanized steel is 0.23 [19], while for the remaining materials it is 0.90 [21].

2.3. Experimental Lab Tests

2.3.1. Experimental Setup

To perform the lab measurements, a mini hot box apparatus was used, as illustrated in Figure 2a. The heating of the hot box and the cooling of the cold box were carried out using an electrical resistance and a refrigerator, respectively. The double pane LSF wall test sample (Figure 2b) was placed between these two chambers. The heat loss that occurred through the lateral surfaces of the test sample was minimized by covering the perimeter with polyurethane foam insulation (80 mm thick), as showed in Figure 2a. The two LSF wall panes were separated by an EPS frame as illustrated in Figure 2a and Figure 3b. Notice that the perimeter thickness of this EPS frame (Figure 3b) is equal to the thermal insulation thickness of the cold/hot box walls and slab envelopes.
Figure 3a displays a frontal view of the LSF wall pane (hot side), where the vertical steel studs spacing is visible (400 mm), which is filled with mineral wool. Notice that among the three vertical steel studs, only the central one is visible (Figure 3b) and exposed to the temperature gradient established by the hot and cold boxes. The aluminium reflective foil was placed on the exterior (cold) side of the air cavity, as illustrated in Figure 3c. To promote internal air circulation and minimize the probability of air temperature stratification inside the cold and hot boxes, small interior fans were used. Moreover, two black radiation shields were used, one each side of the LSF wall test sample (10 cm apart).
Regarding the monitoring system, the heat flux through the test sample was measured using four heat flux meters (Hukseflux model HFP01, precision: ±3%), of which two were placed on the hot wall surface and the another two were placed on the cold wall surface (Figure 3d). On the hot and cold wall surface, to measure the two distinct thermal behaviour zones that exist on the LSF wall sample, two locations for the application of the HFMs were considered: (1) in the central vertical steel stud zone (HFM1); and (2) midway through the insulation cavity (HFM2). To measure temperatures, twelve type K (1/0.315) PFA insulated thermocouples (TCs) were used, presenting class one precision certification. Furthermore, the calibration of these TCs was set in the temperature range [5 °C; 45 °C], with a 5 °C increment, by immerging the TCs in a thermostatic stirring water bath (Heto CB 208).
For each side of the experiment, six TCs were used to perform the measurements, and the following configuration has been defined: two measured the environment air temperature inside each box (TC5 and TC6), another two measured the air temperature between the radiation shield and the wall surface (TC3 and TC4), and the remaining two measured the wall surface temperatures (TC1 and TC2), as illustrated in Figure 3d. For each side of the wall test sample (hot and cold), one PICO TC-08 data logger (precision: ±0.5 °C) was used to record the temperature and heat flux data measured during the tests. The two data loggers were connected to a laptop and the data were managed using the PicoLog version 6.1.10 software. The main features of the measurement equipment used in the lab experiments are listed in Table 2.
Given the expansible behaviour of the MW batt insulation and since there was no confinement on the air cavity side, an increased thickness of this insulation layer was observed. As illustrated in Figure 4a, this increment in the MW insulation thickness was around 7.5 mm on each wall pane. Moreover, it was also observed that when there is no air cavity, the steel studs were not perfectly joined because the space is occupied by the heads of the connecting screws, as illustrated in Figure 4b. Therefore, it was assumed that the two contiguous steel studs were separated by 4 mm, when theoretically there is no air cavity between the LSF wall panes.

2.3.2. Set-Points and Test Procedures

The measurement of the thermal performance of the LSF test samples was performed using the heat flow meter (HFM) method [27]. However, in order to increase the precision and reduce the test duration, instead of measuring on only one side (as prescribed by ISO 9869-1 [27]), the measurements were performed, simultaneously, at both wall surfaces (cold and hot), implementing the improvement suggested by Rasooli and Itard [28]. The hot and cold boxes were programmed to maintain set point temperatures of 40 °C and 5 °C, respectively, being the measurements performed in a quasi-steady-state heat transfer condition.
The convergence criteria prescribed in ASTM C1155–95 [29] were adopted for the “summation technique”, i.e., assuming a maximum admissible convergence factor equal to 10%. Thus, only the estimated hourly R -values with an absolute difference, in relation to the previous time obtained R -value, lower than 10% were considered in the measurements. Each measurement test was carried out for a minimum of 24 h.
To ensure the repeatability of the experimental measurements, for each wall three tests were performed corresponding to three high locations, as illustrated in Figure 3d, that is: (1) top, (2) middle, and (3) bottom. Furthermore, the average of these three tests were considered the measured overall conductive R -value of the LSF wall. From the heat fluxes and temperatures recorded for each test and applying the HFM method [27], two distinct conductive local R -values were obtained, corresponding to the two locations considered for the HFMs (Figure 3d): (1) a lower value in the central vertical steel stud zone ( R stud ), and (2) a higher value in a midway through the insulation cavity ( R cav ). To obtain the overall surface-to-surface -value of the wall ( R global ), an area-weighted average of both measured conductive R -values were considered. Following the ASHRAE zone method [30], the steel stud influence area ( A stud ), was defined considering a zone factor ( z f ) value of 2.0 [31]. More details about these measurements can be found in reference [14].

2.3.3. Test Procedures Verification

With the aim of ensuring the accuracy of the experimental apparatus (e.g., data-loggers and sensors) used in this work, a homogeneous XPS panel (Topox® Cuber SL), with a thickness of 60 mm and a thermal conductivity of 0.034 W/(m·K), were tested under the same conditions. The thermal conductive resistance measured (1.784 m2·K/W) indicates that the thermal conductivity value calculated experimentally is equal to the provided by the XPS manufacturer (0.034 W/(m·K)), confirming the good working conditions of the sensors and data acquisition system.

2.4. Numerical Simulation Verification

The finite element method (FEM) software THERM® (version 7.6.1) [32] was used to perform another verification of the measured R -value results, as explained next. This software is a well-known state-of-the-art freeware computer program for a two-dimensional heat-transfer analysis. It was developed in the United States of America (USA) by the Department of Energy (DoE), through the Lawrence Berkeley National Laboratory (LBNL).

2.4.1. Geometry and Domain Discretization

Since it is a bi-dimensional FEM numerical simulation due to the existence of only vertical steel studs (Figure 3a), only a 2D representative part of the double-pane LSF wall cross-section (400 mm width) was modelled, as previously illustrated in Figure 1. Nevertheless, in a previous research work [19] a similar 2D THERM model were compared with a 3D ANSYS model and, as expected, the thermal resistance difference between both models was very small, i.e., only 0.002 m2 K/W. Therefore, in this work it was decided not to present a similar redundant comparison.
As previously mentioned in Section 2.3.1 and illustrated in Figure 4a, the MW insulation naturally expands. Since there was no confinement on the air cavity side, the ideal geometry model (Figure 1) was discarded. A new and more realistic model was adopted, as illustrated in Figure 5a, for a nominal 50 mm air cavity thickness, assuming a MW expansion of 7.5 mm for each insulation layer. Similarly, as previously illustrated in Figure 4b, the real steel studs are not perfectly united even for a nominal 0 mm air cavity thickness. Therefore, the correspondent THERM model assumes a 4 mm separation between the vertical steel studs and the consequent MW expansion, as showed in Figure 5b. Notice that all other LSF wall models for nominal air cavities of 10, 20, 30 and 40 mm are derived from the previous two, making use of similar geometric rules (not illustrated here for sake of brevity).
Notice that the self-drilling screws used to assemble the steel frame (Figure 4b) and to fix the sheathing GPB to the studs were not modelled here. However, as demonstrated in previous research works [4], its relevance in the obtained thermal resistance value is neglectable.
The thermal properties of the materials used in these simulations were previously presented in Section 2.2. Additionally, the FEM mesh was refined to achieve a maximum error of 3% in these computations. The used quad tree mesh parameter was set to 6 and the maximum number of iterations was 100, the convergence tolerance was equal to 1 × 10 6 , and the mesh void tolerance was 1 mm2. Using this mesh configuration, the maximum number of finite elements was 15,429.

2.4.2. Boundary Conditions

Regarding the boundary conditions, the air temperature was set to 40 °C and 5 °C, for the inner and outer environments, respectively. Notice that these values are equal to the set points defined for hot and cold boxes, as previously described in Section 2.3.2. Moreover, the surface thermal resistances were modelled using the average values measured for each LSF wall surface and for each test, considering the air and surface temperature differences and the surface heat fluxes. The measured surface thermal resistances vary within the interval [0.06; 0.13] m2·K/W, thereby respecting the range defined by EN ISO 6946 [33] for horizontal heat flow, i.e., between 0.04 m2·K/W for external surface resistance ( R se ) and 0.13 m2·K/W for internal surface resistance ( R si ).
In this work, since only the surface-to-surface (or conductive) R -values are considered to evaluate the thermal performance of the test samples, the surface thermal resistances are not included. However, they should be defined in the numerical simulations performed by THERM software, considering a film coefficient (1/ R s ) being later deducted.

2.4.3. Unventilated Airspaces Models

The airspaces between the two LSF wall panes were modelled as unventilated making use of two different approaches available in the THERM software: CEN simplified and NFRC 100. Both methods make use of a solid-equivalent effective thermal conductivity of the airspace and incorporates the convective and radiative heat transfer effects by taking into account the geometry, heat flow direction, surface emissivity and temperature of the surrounding surfaces of the cavity area. The CEN simplified method is based on the calculation procedures defined in the standard EN ISO 6946 [33] for unventilated airspaces, while the NFRC 100 method is based on the simplified radiation model defined in the standard ISO 15099 [34].

3. Results and Discussion

3.1. Lab Measurements

In this subsection, the lab-measured values are presented and discussed, including thermal resistances and the infrared thermography images.

3.1.1. Thermal Resistance Values

Figure 6 displays the measured conductive R -values of double pane LSF walls with different air cavity thicknesses (0–50 mm with an increment of 10 mm), with and without an aluminium reflective foil. Looking first to the -values without a reflective foil (black line), it is visible that the increment in the air cavity thickness is useful up to 30 mm, with the measured thermal resistance being nearly constant from there, i.e., for 40 and 50 mm. Adding a reflective aluminium foil (red line), there is a significant increase in the achieved R -value, particularly for higher thicknesses of the air cavity.
As also displayed in Figure 6, this thermal resistance increase ranges from only +0.001 m2∙°C/W for a null air cavity thickness, up to + 0.529 m2∙°C/W (+21%) for 50 mm air cavity thickness. When there is a reflective aluminium foil (red plot), the increment of the measured R -values with the increase in the air cavity thickness is almost linear until 30 mm, where it is nearly constant after 40 mm thick. Thus, it can be concluded that 30 mm is the recommended air cavity thickness when there is no reflective foil, while when using an aluminium reflective foil, the suggested thickness is increased to 40 mm. These results are in line with the conclusions achieved by Bruno et al. [23], which reported a maximum air gap thermal resistance, when using a reflective foil, for an air cavity thickness of 4 cm.
Notice that the maximum increased R -value measured (+0.529 m2∙°C/W), when using an aluminium reflective foil, is equivalent to an 18.5 mm mineral wool layer (thermal conductivity equal to 0.035 W/(m∙K)), but without the need of an increased wall thickness, whenever an air gap exists before the application of the foil. Additionally, the reflective aluminium foil thermal resistance increment (+0.529 m2∙°C/W) is higher than the -value increase due to a 50 mm air gap when there is no reflective foil (+0.420 m2∙°C/W), highlighting the importance of the radiative heat transfer. Furthermore, filling the cavity with mineral wool appears to have a comparable effect to the aluminium foil for small cavities. However, the existence of an air gap has several advantages, mainly related with humidity control in case of water infiltration.

3.1.2. InfraRed Thermography

Figure 7 shows the infrared (IR) images captured on the cold surface of the double pane LSF walls with and without a reflective aluminium foil, when using two extreme air cavity thicknesses: 0 and 50 mm. In these IR images, the central vertical steel stud is quite well visible, and it is more evident in the two LSF walls with null air cavity thicknesses. This is due to an increased localised heat transfer near the vertical steel stud, originating an augmented temperature in the cold surface of the wall.
To better visualize this steel stud thermal bridge effect, Figure 8 illustrates the surface temperatures recorded along horizontal lines in the IR images plotted in Figure 7. The highest peak temperatures were recorded near the steel stud for a null air cavity thickness, 10.6 °C and 10.0 °C, with and without an aluminium reflective foil, respectively. Another interesting feature visible in Figure 7 and Figure 8 is that impact or influence of the thermal bridge originated by the vertical steel studs is well beyond the measurement circular area of the HFM1, which is only 8 × 10 4   m 2 (diameter equal to 32 mm).
Figure 9 shows the relative steel stud surface temperature increase along the horizontal lines on the cold surface of these four double pane LSF walls. Now, the higher surface temperature increase for the null air cavity thickness LSF walls is even better visualized due to the thermal bridge effect. In this case, the surface temperature increase near the vertical steel studs is +2.6 °C and +2.5 °C, with and without an aluminium reflective foil, respectively. As expected, for a 50 mm air cavity thickness the steel stud thermal bridge effect is quite smaller, exhibiting a surface temperature increase of only +1.6 °C and 1.3 °C, with and without aluminium reflective foil, respectively.

3.2. Numerical Simulations

As previously mentioned in Section 2.4, the experimental lab measurements were also compared with finite element numerical simulations predicted values making use of two different approaches to model the air cavities: CEN simplified and NFRC 100. Table 3 displays the predicted R -values for both methodologies, with and without an aluminium reflective foil, for the evaluated air cavity thicknesses (0–50 mm), as well as the differences to the measured values. To better visualise this info, Figure 10 graphically illustrates the measured and the predicted CEN and NFRC R -values. The first remark is that both models can reproduce with quite good accuracy a similar trend to the measured R -values, by predicting for some air cavities higher and for others smaller R -values.
Without a reflective foil, both models predict very similar values, which are smaller than the measured ones for air cavities higher or equal to 30 mm. In this case, the major difference occurs for a 50 mm air gap, which is −0.127 m2∙°C/W (−5%) and 0.144 m2∙°C/W (−6%) for the CEN simplified and NFRC 100 models, respectively.
When there is an aluminium reflective foil, the differences between both models enlarge, particularly for higher thicknesses of the air cavity (30–50 mm). In this thickness range, the CEN simplified methodology provides results closer to the measured R -values. For instance, for 50 mm the predictions are −0.050 m2∙°C/W (−2%) and − 0.147 m2∙°C/W (−5%) for CEN and NFRC, respectively. Moreover, for smaller air gaps (0–20 mm), these models exhibit a trend to slightly overestimate the R -values, ranging between +1% up to +5%.

4. Conclusions

In this work, the thermal performance of double-pane LSF walls with and without an aluminium reflective foil was assessed. This assessment was based in lab measurements and the recorded conductive R -values were compared with two different approaches to model the air cavities: “CEN simplified” [33] and “NFRC 100” [34], which were implemented in a 2D Finite Element software [32]. The thicknesses of these air gaps varied from 0 mm up to 50 mm, with an increment of 10 mm.
The major conclusions of this study could be summarized as follows:
  • The use of a reflective foil is a very effective way to increase the thermal resistance of double pane LSF walls, without increasing the wall thickness and weight; the maximum improvement is around +0.529 m2∙°C/W (+21%) in the achieved conductive R -value.
  • It is not worthy to increase the air gap to values higher than 30 mm or 40 mm with and without a reflective foil, respectively.
  • The R -value increase due to the reflective aluminium foil (+0.529 m2∙°C/W), is higher than the R -value raise due to a 50 mm air gap when there is no reflective foil (+0.420 m2∙°C/W).
  • Besides the thermal resistance increase, the use of an aluminium reflective foil is also favourable to reduce the thermal bridge effect due to the steel studs’ high thermal conductivity, whenever there are both a continuous air cavity and an aluminium foil.
  • Both “CEN simplified” and “NFRC 100” models were able to predict with reasonable accuracy the thermal behaviour of the air cavities within the evaluated double pane LSF walls, ranging the obtained differences around ±5%.
  • The major differences between both air cavity models arises for bigger air gaps (30–50 mm) when an aluminium reflective foil (0.05 emissivity) is used.
Notice that in this study the air cavity evaluated was continuous. Therefore, any decrease in thermal resistance due to wall ties, connectors or other bridging elements inside the cavity was not considered.

Author Contributions

Conceptualization, P.S.; methodology, P.S.; validation, P.S. and T.R.; formal analysis, P.S.; investigation, P.S. and T.R.; writing—original draft preparation P.S.; writing—review and editing, P.S. and T.R.; visualization, P.S.; supervision, P.S.; project administration, P.S.; funding acquisition, P.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by FEDER funds through the Competitivity Factors Operational Programme—COMPETE and by national funds through FCT—Foundation for Science and Technology within the scope of the project POCI-01-0145-FEDER-032061.
Buildings 11 00301 i001

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Acknowledgments

The authors also want to thank the support provided by the following companies: Pertecno, Gyptec Ibéria, Volcalis, Sotinco, Kronospan, Hulkseflux, Hilti and Metabo.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. European Union. Directive (EU) 2018/844 of the European Parliament and of the Council of 30 May 2018 amending Directive 2010/31/EU on the energy performance of buildings and Directive 2012/27/EU on energy efficiency. Off. J. Eur. Union 2018, 156, 75–91. [Google Scholar]
  2. European Union. Directive (EU) 2018/2001 of the European Parliament and of the Council on the promotion of the use of energy from renewable sources. Off. J. Eur. Union 2018, 328, 82–209. [Google Scholar]
  3. Santos, P.; Simões da Silva, L.; Ungureanu, V. Energy Efficiency of Light-weight Steel-framed Buildings, 1st ed.; European Convention for Constructional Steelwork (ECCS), Technical Committee 14—Sustainability & Eco-Efficiency of Steel Construction: Brussels, Belgium, 2012; ISBN 978-92-9147-105-8. [Google Scholar]
  4. Roque, E.; Santos, P. The effectiveness of thermal insulation in lightweight steel-framed walls with respect to its position. Buildings 2017, 7, 13. [Google Scholar] [CrossRef] [Green Version]
  5. Roque, E.; Santos, P.; Pereira, A.C. Thermal and sound insulation of lightweight steel-framed façade walls. Sci. Technol. Built Environ. 2019, 25, 156–176. [Google Scholar] [CrossRef]
  6. Berardi, U.; Sprengard, C. An overview of and introduction to current researches on super insulating materials for high-performance buildings. Energy Build. 2020, 214, 109890. [Google Scholar] [CrossRef]
  7. Zach, J.; Peterková, J.; Dufek, Z.; Sekavčnik, T. Development of vacuum insulating panels (VIP) with non-traditional core materials. Energy Build. 2019, 199, 12–19. [Google Scholar] [CrossRef]
  8. Lamy-Mendes, A.; Dora, A.; Pontinha, R.; Alves, P.; Santos, P.; Durães, L. Progress in silica aerogel-containing materials for buildings’ thermal insulation. Constr. Build. Mater. 2021, 286, 122815. [Google Scholar] [CrossRef]
  9. Erhorn-Klutting, H.; Erhorn, H. ASIEPI P148—Impact of Thermal Bridges on the Energy Performance of Buildings; Buildings Platform, European Communities: Brussels, Belgium, 2009. Available online: https://www.semanticscholar.org/paper/Impact-of-thermal-bridges-on-the-energy-performance-Erhorn-kluttig-Erhorn/d208711a5785eb5dedd8b4ae7fe4013d3640f81d (accessed on 8 July 2021).
  10. Santos, P.; Martins, C.; Simões da Silva, L. Thermal performance of lightweight steel-framed construction systems. Metall. Res. Technol. 2014, 111, 329–338. [Google Scholar] [CrossRef]
  11. Soares, N.; Santos, P.; Gervásio, H.; Costa, J.J.; Simões da Silva, L. Energy efficiency and thermal performance of lightweight steel-framed (LSF) construction: A review. Renew. Sustain. Energy Rev. 2017, 78, 194–209. [Google Scholar] [CrossRef]
  12. Martins, C.; Santos, P.; Simoes da Silva, L. Lightweight steel-framed thermal bridges mitigation strategies: A parametric study. J. Build. Phys. 2016, 39, 342–372. [Google Scholar] [CrossRef]
  13. Santos, P.; Lemes, G.; Mateus, D. Thermal transmittance of internal partition and external facade LSF walls: A parametric study. Energies 2019, 12, 2671. [Google Scholar] [CrossRef] [Green Version]
  14. Santos, P.; Mateus, D. Experimental assessment of thermal break strips performance in load-bearing and non-load-bearing LSF walls. J. Build. Eng. 2020, 32, 101693. [Google Scholar] [CrossRef]
  15. Varadi, J.; Toth, E. Thermal improvement of lightweight façades containing slotted steel girders. In Proceedings of the Twelfth International Conference on Civil, Structural and Environmental Engineering Computing, Funchal, Madeira, Portugal, 1–4 September 2009; p. 107. [Google Scholar]
  16. Lupan, L.M.; Manea, D.L.; Moga, L.M. Improving thermal performance of the wall panels using slotted steel stud framing. Procedia Technol. 2016, 22, 351–357. [Google Scholar] [CrossRef] [Green Version]
  17. Santos, P.; Gonçalves, M.; Martins, C.; Soares, N.; Costa, J.J. Thermal Transmittance of Lightweight Steel Framed Walls: Experimental Versus Numerical and Analytical Approaches. J. Build. Eng. 2019, 25, 100776. [Google Scholar] [CrossRef]
  18. Kapoor, D.R.; Peterman, K.D. Quantification and prediction of the thermal performance of cold-formed steel wall assemblies. Structures 2021, 30, 305–315. [Google Scholar] [CrossRef]
  19. Santos, P.; Poologanathan, K. The importance of stud flanges size and shape on the thermal performance of lightweight steel framed walls. Sustainability 2021, 13, 3970. [Google Scholar] [CrossRef]
  20. Mélois, A.B.; Moujalled, B.; Guyot, G.; Leprince, V. Improving building envelope knowledge from analysis of 219,000 certified on-site air leakage measurements in France. Build. Environ. 2019, 159, 106145. [Google Scholar] [CrossRef] [Green Version]
  21. Fantucci, S.; Serra, V. Low-E paints enhanced building components: Performance, limits and research perspectives. Energy Procedia 2017, 126, 274–281. [Google Scholar] [CrossRef] [Green Version]
  22. Jelle, B.P.; Kalnæs, S.E.; Gao, T. Low-emissivity materials for building applications: A state-of-the-art review and future research perspectives. Energy Build. 2015, 96, 329–356. [Google Scholar] [CrossRef] [Green Version]
  23. Bruno, R.; Bevilacqua, P.; Ferraro, V.; Arcuri, N. Reflective thermal insulation in non-ventilated air-gaps: Experimental and theoretical evaluations on the global heat transfer coefficient. Energy Build. 2021, 236, 110769. [Google Scholar] [CrossRef]
  24. Gyptec Ibérica. Technical Sheet: Standard Gypsum Plasterboard. 2021. Available online: https://www.gyptec.eu/documentos/Ficha_Tecnica_Gyptec_A.pdf (accessed on 19 April 2021). (In Portuguese).
  25. Volcalis Mineral Wool. Technical Sheet: Alpha Panel Mineral Wool. 2021. Available online: https://www.volcalis.pt/categoria_file/fichatecnica_volcalis_alphapainel-777.pdf (accessed on 19 April 2021). (In Portuguese).
  26. Santos, C.; Matias, L. ITE50—Coeficientes de Transmissão Térmica de Elementos da Envolvente dos Edifícios; LNEC—Laboratório Nacional de Engenharia Civil: Lisboa, Portugal, 2006. (In Portuguese) [Google Scholar]
  27. ISO 9869-1, Thermal Insulation—Building Elements—In-Situ Measurement of Thermal Resistance and Thermal Transmittance. Part 1: Heat Flow Meter Method; ISO—International Organization for Standardization: Geneva, Switzerland, 2014.
  28. Rasooli, A.; Itard, L. In-situ characterization of walls’ thermal resistance: An extension to the ISO 9869 standard method. Energy Build. 2018, 179, 374–383. [Google Scholar] [CrossRef]
  29. ASTM-C1155–95(Reapproved-2013), Standard Practice for Determining Thermal Resistance of Building Envelope Components from the In-Situ Data; ASTM—American Society for Testing and Materials: Philadelphia, PA, USA, 2013.
  30. ASHRAE. Handbook of Fundamentals (SI Edition); ASHRAE—American Society of Heating, Refrigerating and Air-Conditioning Engineers: Atlanta, GA, USA, 2017. [Google Scholar]
  31. Santos, P.; Lemes, G.; Mateus, D. Analytical methods to estimate the thermal transmittance of LSF walls: Calculation procedures review and accuracy comparison. Energies 2020, 13, 840. [Google Scholar] [CrossRef] [Green Version]
  32. THERM; Software Version 7.6.1; Lawrence Berkeley National Laboratory: Berkeley, CA, USA; United States Department of Energy: Washington, DC, USA, 2017. Available online: https://windows.lbl.gov/software/therm (accessed on 14 February 2019).
  33. EN ISO 6946, Building Components and Building Elements—Thermal Resistance and Thermal Transmittance—Calculation Methods; CEN—European Committee for Standardization: Brussels, Belgium, 2017.
  34. ISO_15099, Thermal Performance of Windows, Doors and Shading Devices—Detailed Calculations; ISO—International Organization for Standardization: Geneva, Switzerland, 2003.
Figure 1. Ideal geometry and materials for a double pane LSF wall with different air cavity thicknesses, with and without a reflective aluminium foil.
Figure 1. Ideal geometry and materials for a double pane LSF wall with different air cavity thicknesses, with and without a reflective aluminium foil.
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Figure 2. Mini hot box apparatus used in the lab measurements. (a) Lateral view with sample perimeter insulation; (b) LSF wall test sample.
Figure 2. Mini hot box apparatus used in the lab measurements. (a) Lateral view with sample perimeter insulation; (b) LSF wall test sample.
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Figure 3. Double pane LSF wall test sample. (a) Hot LSF wall pane; (b) EPS perimeter frame; (c) Aluminium reflective foil; (d) Sensors (cold surface).
Figure 3. Double pane LSF wall test sample. (a) Hot LSF wall pane; (b) EPS perimeter frame; (c) Aluminium reflective foil; (d) Sensors (cold surface).
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Figure 4. Geometry details of the measured double pane LSF wall test sample. (a) Expansible MW around steel stud; (b) Steel track distance.
Figure 4. Geometry details of the measured double pane LSF wall test sample. (a) Expansible MW around steel stud; (b) Steel track distance.
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Figure 5. Modelled geometry and used materials for the double pane LSF walls. (a) Nominal 50 mm air cavity thicknesses; (b) Nominal 0 mm air cavity thicknesses.
Figure 5. Modelled geometry and used materials for the double pane LSF walls. (a) Nominal 50 mm air cavity thicknesses; (b) Nominal 0 mm air cavity thicknesses.
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Figure 6. Measured conductive thermal resistances of a double pane LSF wall, with different air cavity thicknesses, with and without a reflective aluminium foil.
Figure 6. Measured conductive thermal resistances of a double pane LSF wall, with different air cavity thicknesses, with and without a reflective aluminium foil.
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Figure 7. Infrared images of the double pane LSF walls, with and without reflective aluminium foil, for two air cavity’s thicknesses (0 and 50 mm), on the cold surface. (a) 0 mm without reflective foil; (b) 0 mm with reflective foil; (c) 50 mm without reflective foil; (d) 50 mm with reflective foil.
Figure 7. Infrared images of the double pane LSF walls, with and without reflective aluminium foil, for two air cavity’s thicknesses (0 and 50 mm), on the cold surface. (a) 0 mm without reflective foil; (b) 0 mm with reflective foil; (c) 50 mm without reflective foil; (d) 50 mm with reflective foil.
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Figure 8. Horizontal temperature lines from infrared images of the double pane LSF walls, with and without reflective aluminium foil, for two air cavity’s thicknesses (0 and 50 mm), on the cold surface.
Figure 8. Horizontal temperature lines from infrared images of the double pane LSF walls, with and without reflective aluminium foil, for two air cavity’s thicknesses (0 and 50 mm), on the cold surface.
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Figure 9. Steel stud surface temperature increase along horizontal lines on the cold surface of the double pane LSF walls, with and without reflective aluminium foil, for two air cavity’s thicknesses (0 and 50 mm).
Figure 9. Steel stud surface temperature increase along horizontal lines on the cold surface of the double pane LSF walls, with and without reflective aluminium foil, for two air cavity’s thicknesses (0 and 50 mm).
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Figure 10. Measured and predicted conductive thermal resistances of a double pane LSF wall, with different air cavity thicknesses, with and without a reflective aluminium foil.
Figure 10. Measured and predicted conductive thermal resistances of a double pane LSF wall, with different air cavity thicknesses, with and without a reflective aluminium foil.
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Table 1. Double pane LSF wall materials, thickness ( d ) and thermal conductivities ( λ ).
Table 1. Double pane LSF wall materials, thickness ( d ) and thermal conductivities ( λ ).
Material (Outer to Inner Layer) d [mm] λ [W/(m∙K)]Reference
GPB 1 (2 × 12.5 mm)25.00.175[24]
MW 248.00.035[25]
Steel stud (C48 × 37 × 4 × 0.6 mm)-50.000[26]
Air cavity0, 10, 20, 30, 40, 50--
MW 248.00.035[25]
Steel stud (C48 × 37 × 4 × 0.6 mm)-50.000[26]
GPB 1 (2 × 12.5 mm)25.00.175[24]
Total Thickness146.0196.0--
1 GPB—Gypsum Plaster Board; 2 MW—Mineral Wool.
Table 2. Features of the measurement equipment used in the lab experiments.
Table 2. Features of the measurement equipment used in the lab experiments.
EquipmentBrandModelMeasurement RangePrecision
Heat Flux MeterHuksefluxHFP01−2 to +2 kW/m2±3%
ThermocouplesLabFacilityType K * (1/0.315)−75 to +260 °C±1.5 °C
Data-loggerPICOTC-08−270 to +1820 °C±0.5 °C
* Tolerance Class 1 certified.
Table 3. Predicted conductive thermal resistances ( R -values) of a double pane LSF wall, with different air cavity thicknesses, with and without a reflective aluminium foil, and the thermal resistance difference to the measured values.
Table 3. Predicted conductive thermal resistances ( R -values) of a double pane LSF wall, with different air cavity thicknesses, with and without a reflective aluminium foil, and the thermal resistance difference to the measured values.
Air CavityWithout Aluminium FoilWith Aluminium Foil
Thickness R -ValueDifference R -ValueDifference
[mm][m2∙°C/W][m2∙°C/W][%][m2∙°C/W][m2∙°C/W][%]
CEN Simplified02.109+0.048+2%2.132+0.070+3%
102.242−0.0110%2.424+0.064+3%
202.391+0.0030%2.840+0.155+5%
302.391−0.072−3%2.993+0.059+2%
402.367−0.113−5%2.973−0.036−1%
502.354−0.127−5%2.960−0.050−2%
NFRC 10002.105+0.044+2%2.125+0.063−3%
102.229−0.024−1%2.375+0.015−1%
202.3880.0000%2.826+0.141−5%
302.376−0.087−4%2.904−0.030−1%
402.350−0.130−6%2.881−0.128−4%
502.337−0.144−6%2.863−0.147−5%
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Santos, P.; Ribeiro, T. Thermal Performance of Double-Pane Lightweight Steel Framed Walls with and without a Reflective Foil. Buildings 2021, 11, 301. https://doi.org/10.3390/buildings11070301

AMA Style

Santos P, Ribeiro T. Thermal Performance of Double-Pane Lightweight Steel Framed Walls with and without a Reflective Foil. Buildings. 2021; 11(7):301. https://doi.org/10.3390/buildings11070301

Chicago/Turabian Style

Santos, Paulo, and Telmo Ribeiro. 2021. "Thermal Performance of Double-Pane Lightweight Steel Framed Walls with and without a Reflective Foil" Buildings 11, no. 7: 301. https://doi.org/10.3390/buildings11070301

APA Style

Santos, P., & Ribeiro, T. (2021). Thermal Performance of Double-Pane Lightweight Steel Framed Walls with and without a Reflective Foil. Buildings, 11(7), 301. https://doi.org/10.3390/buildings11070301

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