Next Article in Journal
Design Algorithm for and Validation of Winding Losses in Large-Capacity Medium-Frequency Distribution Transformers
Previous Article in Journal
Review of Construction Technology of Advanced Energy Infrastructure
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Enhancing Building Energy Efficiency with Innovative Paraffin-Based Phase Change Materials

by
Filippos Lygerakis
1,
Christina Gioti
2,
Dimitris Gournis
1,3,
Ioannis. V. Yentekakis
1,3,
Michalis Karakassides
2 and
Denia Kolokotsa
1,3,*
1
School of Chemical & Environmental Engineering, Technical University of Crete, 73100 Chania, Greece
2
Department of Materials Science and Engineering, University of Ioannina, 45110 Ioannina, Greece
3
Institute of GeoEnergy, Foundation for Research and Technology-Hellas, 73100 Chania, Greece
*
Author to whom correspondence should be addressed.
Energies 2024, 17(16), 4155; https://doi.org/10.3390/en17164155
Submission received: 17 July 2024 / Revised: 16 August 2024 / Accepted: 19 August 2024 / Published: 21 August 2024
(This article belongs to the Section G: Energy and Buildings)

Abstract

:
There is a rising demand for energy-efficient and low-carbon buildings that is driven by the energy consumption in the building sector, global population growth, and high standards of comfort. Integrating contemporary energy-efficient technologies is crucial for tackling this issue. In this study, thermal energy storage (TES) technologies are investigated, particularly phase change materials (PCMs), by using them in buildings and in order to improve energy efficiency. Paraffin-based PCMs are the main focus and are known for their advanced thermal storage capacity and compatibility with building materials. The work focuses on embedding these PCMs into building components such as roofs and walls in order to maximize energy efficiency. Key data, including thermal conductivity (varying from 0.063 W/mK to 0.175 W/mK) and solar reflectance (ranging from 42.7% to 70.31%), were taken with a Hot Disc TPS1500 and a UV-Vis-NIR spectrophotometer and used as inputs for EnergyPlus calculations. The results show that PCM-enhanced materials greatly increase thermal regulation and energy efficiency. Gypsum boards 30% PCM-enhanced used in buildings achieved up to 12.8% annual energy consumption reductions (106.1 kWh/m2) and 22.3% net annual energy consumption savings (52.2 kWh/m2) when compared to baseline scenarios. The study indicates that PCM integration can significantly cut energy usage while improving indoor thermal comfort, underlining its potential for widespread use in sustainable building design.

1. Introduction

In the quest for sustainable development and climate change mitigation, improving building energy efficiency is a primary objective. Innovative paraffin-based Phase Change Materials (PCMs) offer a promising solution in this regard. PCMs have the unique capability to store and release large amounts of thermal energy during phase transitions, effectively regulating indoor temperatures [1]. This introduction paves the way to explore how incorporating these advanced materials into building design and construction can revolutionize energy management, reduce carbon footprints, and promote environmentally conscious architecture.
Thermal Energy Storage includes various methods, such as utilizing latent heat, the sensible heat capacity of materials, or the exothermic and endothermic chemical reactions of materials [2]. Among these, the use of PCMs for storing or releasing thermal energy through latent heat storage has proven particularly promising over the past few decades [3]. PCMs have a significant latent heat capacity, making them highly effective for managing a building’s thermal environment. By transitioning between solid and liquid phases, PCMs can efficiently absorb and release heat, thus reducing heating and cooling loads and shifting peak energy demands [4]. During the day, PCMs absorb excess solar energy, minimizing heat penetration into the building. At night, when temperatures drop, PCMs release stored heat, maintaining indoor thermal comfort [5].
PCMs contribute significantly to the sustainability goals of green building certification systems like LEED and BREEAM by enhancing energy efficiency, reducing greenhouse gas emissions, and improving indoor environmental quality [6]. By incorporating PCMs into building materials, energy consumption for heating and cooling can be substantially decreased, leading to lower operational carbon footprints. This aligns with LEED and BREEAM credits for energy optimization and reduction in environmental impacts. Additionally, the improved thermal regulation provided by PCMs enhances occupant comfort and indoor air quality, contributing to credits related to health and wellbeing. The use of PCMs also supports the efficient use of resources and materials, a key aspect of these certification systems. In general, paraffin-based PCMs help buildings achieve higher performance in energy efficiency, sustainability, and occupant comfort, thus supporting the comprehensive goals of green building certification systems. Buildings designed with PCMs contribute to reducing overall energy consumption, thereby mitigating environmental impact and promoting resource conservation. Furthermore, integrating PCMs supports the advancement of net-zero energy buildings, offering significant economic and environmental benefits for society [7]. As PCM technology continues to evolve and gain traction, its implementation represents a critical step toward achieving energy-efficient and environmentally sustainable buildings [8]. For example, integrating PCMs into the outer face of south-side brick walls resulted in 13.4% energy savings, although a 30 year life cycle analysis indicated that this might not be cost-effective. Similarly, PCM dry walls significantly improved energy efficiency in a Mediterranean climate like Coimbra, Portugal, with gains of up to 62%, though effectiveness varied in other climates, showing energy efficiency improvements ranging from 10% to 46% [9,10].
Figure 1 illustrates the categories of PCMs, focusing on paraffin-based types and their various applications in building components. The diagram categorizes PCMs into solid–solid and solid–liquid transitions, with paraffin-based PCMs highlighted for their use in construction materials [11]. Paraffin-based PCMs, derived from organic compounds, are used due to their high latent heat storage capacity and compatibility with different building materials. The organic category encompasses fatty esters, fatty acids, alcohol/polyols, and paraffins. Compared to other PCM types such as salt hydrates and fatty acids, paraffin-based PCMs generally offer superior thermal stability and a more consistent phase change temperature, which translates to more reliable performance over time. While salt hydrates can have higher latent heat capacities, they often suffer from issues like subcooling and phase separation, which can reduce their effectiveness and reliability. Fatty acids, on the other hand, are biodegradable and environmentally friendly but may not provide the same level of thermal stability as paraffin-based PCMs. Paraffin-based PCMs strike a favorable balance between energy savings, thermal regulation, and long-term stability, making them a competitive choice compared to salt hydrates and fatty acids for building applications. The applications depicted in the figure include integration into floors, bricks, walls, roofs, and windows, showcasing the versatility of paraffin-based PCMs in enhancing the thermal performance of buildings [12]. This integration helps reduce energy consumption by improving the thermal regulation of indoor environments, thus contributing significantly to energy-efficient building designs. The figure encapsulates the potential of paraffin-based PCMs to transform conventional building practices by incorporating advanced materials that support sustainable and energy-efficient architecture.
Advancements in PCM technology, particularly in encapsulation and the development of composite materials, have significantly enhanced the effectiveness of paraffin-based PCMs in building applications. Encapsulation techniques, such as microencapsulation and macroencapsulation, are crucial for improving the thermal stability, preventing leakage during phase transitions, and enhancing the durability of PCMs when integrated into building materials. According to [13], incorporating additives such as expanded graphite into paraffin can increase its thermal conductivity by up to 6.5 times, addressing the low thermal conductivity that is typically a limitation of paraffin-based PCMs. Additionally, another review highlights that encapsulating PCMs within building elements not only improves their thermal performance but also facilitates easier integration into various construction materials, leading to better energy efficiency and indoor thermal comfort [14]. The use of encapsulated PCMs in building elements helps maintain stable indoor temperatures by effectively absorbing and releasing heat, thereby reducing the load on heating and cooling systems. These advancements make paraffin-based PCMs more practical for a wide range of applications in sustainable building design, offering substantial benefits in both energy savings and improved indoor environmental quality.
Extensive research has explored the use of paraffin PCMs within building components, leading to emerging alternatives like biobased PCMs [12]. However, much of this research has been limited to simulation studies or laboratory-scale experiments. The untapped potential lies in implementing PCMs in real-life building environments to evaluate their thermal performance in real-time scenarios. Current studies predominantly emphasize singular applications [15,16,17,18,19,20,21]. However, by diversifying integration across multiple building elements—walls, ceilings, and floors—there is potential for varied outcomes that enhance building performance, aligning with sustainable efforts to transition conventional structures into net-zero energy buildings [12].
Specifically, within civil engineering, PCM applications focus on energy-saving through temperature regulation, particularly in building walls, roofs, ceilings, and floors. For instance, research by Rathore et al. [22] embedded PCM-filled tubes in walls, achieving a moderate reduction in peak temperatures and energy savings. Yan et al. [23] integrated PCM systems with nocturnal sky radiators, significantly reducing indoor temperatures and energy consumption during hot weather. Lee et al. [24] developed PCM thermal shields that reduced peak heat fluxes and delayed temperature peaks. These examples underscore PCM’s efficacy in enhancing building thermal performance and reducing energy consumption [25,26].
Recent studies have shown significant advancements in passive thermal management of buildings through the integration of PCMs, particularly when these materials are enhanced by innovative techniques. For instance, the use of PCM microcapsules enhanced by single-wall carbon nanotubes (SWCNTs) has been demonstrated to improve thermal performance significantly, offering better heat storage and release characteristics, which is crucial for maintaining indoor thermal comfort [27]. Furthermore, the scaling laws for fluid transport phenomena in porous PCM media have been extensively studied, providing insights into the permeability and porosity relationships critical for optimizing PCM-based systems in building applications [28]. Moreover, PCM applications extend beyond traditional materials like concrete walls to include innovative uses such as PCM-enhanced gypsum boards [29,30], wooden composites [31], and PCM-filled double-glazed windows [32]. These applications illustrate the potential for PCM integration to improve thermal insulation and regulate indoor temperatures effectively [32,33,34,35,36,37,38]. The integration of PCMs in low-scale personal cooling systems has been experimentally validated, demonstrating enhanced efficiency and operational autonomy [39].
In challenging environments, PCMs have been explored for their ability to mitigate temperature fluctuations and enhance structural integrity in materials like concrete and pavement [40,41,42,43]. These studies highlight PCM’s potential in diverse applications ranging from construction materials to pavement maintenance and beyond.
However, despite these advancements, practical challenges remain, including high costs, technical complexities in integration, and the need for standardized assessment methods [44,45,46]. Further research and development are crucial to overcome these challenges and promote wider adoption of PCM technologies in building applications.
While paraffin-based PCMs significantly enhance thermal performance by improving energy storage and temperature regulation in building materials, their integration can present trade-offs with other critical material properties such as mechanical strength and fire resistance. The inclusion of paraffin-based PCMs in cementitious composites can lead to a reduction in mechanical strength due to the softer and more flexible nature of PCMs compared to the host matrix, which may weaken the material under stress [47]. Additionally, paraffin-based PCMs are organic and inherently flammable, potentially compromising the fire resistance of building materials. This presents a significant safety concern, especially in applications where fire resistance is critical. However, advancements such as the incorporation of fire-resistant additives or encapsulation methods have been developed to mitigate these risks, enhancing the fire performance of PCM-enhanced materials [48]. While these strategies can help balance thermal benefits with safety and structural integrity, they underscore the need for careful material design and selection when integrating PCMs into building applications.
The innovative application of paraffin-based PCMs for building energy efficiency can be paralleled with advancements in hydrogen storage materials. Recent advancements in PCMs, such as the integration of multi-wall carbon nanotubes to enhance photothermal conversion and storage, have shown promising results [49]. For example, the addition of metal oxide catalysts to organic hydrogen storage materials has shown promising results in reducing dehydrogenation temperatures and enhancing thermal stability [50]. Similar to the use of paraffin-based PCMs in building energy efficiency, the integration of metal oxide additives to improve thermal stability in hydrogen storage materials is another area of active research.
Despite extensive research on PCMs, a significant gap remains in exploring the combined use of PCMs across multiple building elements to optimize performance. Most existing studies are confined to simulations or laboratory-scale experiments, highlighting the need for real-world implementation and performance evaluation to validate PCM effectiveness in actual building environments. This study aims to address this gap by measuring the thermal properties of shape-stabilized paraffin-based PCMs and assessing their impact on building energy efficiency through comprehensive simulations using OpenStudio and EnergyPlus. By integrating PCMs into external roofs and walls, this research moves beyond singular applications to investigate the synergistic benefits of combined PCM use. The novelty of this work lies in its approach to combining paraffin-based PCMs across multiple building elements, conducting precise measurements, and utilizing advanced simulation tools to evaluate energy savings and assess practical performance.
In this section, the field, challenge, scope, solution, and novelty of this study were discussed. Following, in Section 2, the materials and methods that are used for this study are presented, including the methodology, case study building, PCM samples, and the simulation model. Next, in Section 3, the results from the PCM sample characteristics measurements are presented, in addition to the building energy simulation scenarios results. Last but not least, in Section 4 and Section 5, the discussion and conclusions are presented, respectively.

2. Materials and Methods

2.1. Methodology

The methodology employed in this research is illustrated in Figure 2. The material samples used in this study consist of mixtures of N-octadecane, which has a melting point of 28 °C and serves as the phase change material, and a lightweight ceramic/carbon foam [51] acting as the shape stabilizer. These composite PCM/foam materials are used as thermal energy storage additives in cement and gypsum boards (Figure 3a). Initially, the thermal conductivity and specific heat of these boards are measured using the Hot Disc TPS 1500, their solar reflectance with the UV Carry 5000, and their emissivity with an Emissometer equipped with a Scaling Digital Voltmeter Model AE1 RD1 (Figure 3b–d). These measured characteristics, along with other inputs, are then simulated as components in the external roofs and walls of the case study building. The building simulation is conducted using the EnergyPlus simulation tool, where various scenarios and their energy savings results are evaluated (Figure 4).
The measured samples included various compositions: cement boards with 0%, 10%, 20%, and 30% v/v PCM/foam, and gypsum boards with 0%, 10%, 15%, 20%, and 30% w/w octadecane mixtures PCM/foam.

2.2. Case Study Building: Leaf House

Leaf House, located in Angeli di Rosora, Ancona, Italy, serves as the case study building, owned and operated by the Loccioni Group (Figure 5). This facility functions as a hub for research and innovation in various sectors, including energy and sustainability. The Leaf House is a residential apartment complex with a rectangular layout, showcasing an innovative bioclimatic design and advanced technologies. It features six highly insulated apartments with a total floor area of around 470 m2. The building is equipped with a ventilated roof, solar tubes, smart monitoring and control systems, building-integrated photovoltaics, geothermal air preconditioning with heat pumps, solar thermal collectors, electrical storage, and a user-friendly energy management system for residents.
The building envelope includes external walls with a U-value of 0.41 W/m2K and windows with U-values ranging from 0.73 to 1.49 W/m2K. Its HVAC system consists of three heat pumps with geothermal air preconditioning and heat recovery, connected to a radiant floor distribution system. The heating COP of these heat pumps ranges from 2.9 to 4.6, and the cooling EER varies between 1.9 and 3.6. Additionally, seven solar thermal collectors with a total area of 19 m2 are connected to a 1000 L thermal storage boiler with a 15 kW electrical power capacity for domestic hot water and space heating. A 20 kWp PV system is installed on the rooftop, mainly powering the geothermal heat pumps to reduce overall power consumption. This system includes 115 PV panels covering a total area of 150 m2.
The Leaf House’s annual primary energy consumption was normalized to 54.4 kWh/m2, demonstrating its effectiveness as a near-zero energy building [52]. That study further validates the energy performance of the Leaf House through dynamic simulation models and real-time operational data, highlighting its success in integrating renewable energy technologies and advanced energy management practices.

2.3. EnergyPlus PCM Simulation in Buildings

The building energy simulation in EnergyPlus utilizes PCM materials, simulated using the MaterialPropert:PhaseChanging and MaterialPropert:PhaseChangingHysterisis types. Incorporating these types necessitates an additional algorithm. The Conduction Transfer Function (CTF) is the default method for computing conduction heat transfer in building cooling/heating loads and energy calculations in EnergyPlus. It simplifies calculations by efficiently computing surface heat fluxes in a straightforward and linear manner, without requiring detailed temperature and flux data within the surface. However, it assumes constant properties and lacks results for the interior of the surface, limiting its applicability in dynamic thermal scenarios involving phase-changing materials.
In contrast, the Conduction Finite Difference (CondFD) solution algorithm is designed for complex constructions like those utilizing PCMs. It complements the CTF method by accommodating cases of variable thermal conductivity and material properties. The CondFD method determines the number of nodes in each layer of the surface based on Fourier stability criteria, making it particularly suitable for short zone time steps. The MaterialPropert:PhaseChanging defines material properties for phase changes assuming a constant phase change temperature, while MaterialPropert:PhaseChangingHysterisis includes hysteresis effects, allowing for different temperatures during melting and solidification. This feature captures the non-linear behavior of materials during phase transitions.

3. Results

In this section, we present the results from the DSC, thermal conductivity, solar reflectance, and emissivity measurements for the cement and gypsum board PCM samples, as well as the building energy simulation results for the case study building.

3.1. Materials’ Measurements

3.1.1. DSC—Enthalpy Diagrams

In Figure 6, Figure 7, Figure 8, Figure 9, Figure 10, Figure 11 and Figure 12, the results from the DSC measurements are depicted in enthalpy (J/g) over temperature (C) for all 7 material samples. For both board types, the higher the percentage of PCM foam, the more the material’s enthalpy tends to imitate the enthalpy curve of PCM. Hence, with these mixtures, construction materials like cement and gypsum acquire PCM characteristics without losing their own.

3.1.2. Thermal Conductivity Hot Disc

Hot Disc TSP 1500 equipped with Kapton 4922 sensor (diameter: 29.2 mm, resistance: 6,851,777 Ω) was used to measure the thermal conductivity and specific heat of all seven samples. The results are shown in Table 1 and Figure 13a,b. Lowest thermal conductivity value is measured on cement board with 10% PCM/foam, while highest value is measured on gypsum board with 15% PCM/foam.

3.1.3. Solar Reflectance UV Carry 5000

The reflectance (%) measurements were taken with UV Carry 5000 spectrophotometer with the 2500 200 DRA reflectance. MSW method (Figure 14 and Figure 15) and were used to calculate the solar reflectance (%) at UV, VIS and NIR (Table 2).

3.1.4. Emissivity

The emissivity measurements were taken with Emissometer with Scaling Digital Voltmeter Model AE1 RD1. The transient method was used to calculate the emissivity values (Table 3) for all sevenh material samples, as shown in Figure 16 and Figure 17.

3.2. Building Energy Simulation EnergyPlus

The measured characteristics were used as inputs for the EnergyPlus simulations (Appendix A). All seven samples were tested in the construction set of the external walls and roof. The scenarios include the baseline scenario without the samples; the samples run with MaterialProperty:PhaseChange and Hysterisis models at heating and cooling setpoints at 20 and 26 °C, as well as heating and cooling setpoints at the melting and freezing points of each sample. These parameters conclude in 36 scenarios, with their simulated annual building energy consumption and results shown in Table 4. In addition, the net annual energy building consumption is included, as Leaf House has PVs installed, and the results are shown in Table 5. Furthermore, the savings of the PCM scenarios are calculated based on their baseline scenarios.

4. Discussion

The integration of PCMs into building materials such as cement and gypsum boards has demonstrated significant impacts on thermal properties and building energy consumption. This section discusses the results of Differential Scanning Calorimetry (DSC) measurements, thermal conductivity tests, solar reflectance, and emissivity measurements, as well as the implications of these properties on the overall energy performance of buildings as determined by EnergyPlus simulations.
Figure 6, Figure 7, Figure 8, Figure 9, Figure 10, Figure 11 and Figure 12 illustrate the enthalpy diagrams obtained from DSC measurements for cement and gypsum boards with varying percentages of PCM foam. These diagrams show that increasing the percentage of PCM foam in the boards enhances their thermal storage capacity. The enthalpy curves for higher PCM concentrations (e.g., 30% PCM foam) more closely resemble the curves of pure PCM, indicating a significant integration of PCM characteristics into the construction materials. This enhancement in thermal storage capacity is crucial for stabilizing indoor temperatures and reducing heating and cooling demands.
The thermal conductivity and specific heat measurements, presented in Table 1 and depicted in Figure 13a,b, highlight notable differences between the samples. Cement boards with lower PCM content (10%) exhibit the lowest thermal conductivity, which is advantageous for reducing heat transfer through building envelopes. Conversely, gypsum boards with higher PCM content show increased thermal conductivity but also higher specific heat values, which can be beneficial for thermal mass and energy storage purposes. Traditional materials, such as standard gypsum boards and cement, typically exhibit thermal conductivities in the range of 0.17 to 0.25 W/mK for gypsum boards and 0.29 to 1.73 W/mK for cement. In contrast, the PCM-enhanced materials in this study demonstrated a range of thermal conductivities, from 0.063 W/mK to 0.175 W/mK, depending on the PCM content and the type of material. The lower thermal conductivity values observed in the PCM-enhanced gypsum and cement samples indicate better thermal insulation compared to their traditional counterparts. This improved insulation is crucial for reducing heat transfer through building envelopes, thereby enhancing overall energy efficiency.
Similarly, the specific heat of these materials, measured in MJ/m3K, varied with the PCM content. The highest specific heat was observed in gypsum boards with 30% PCM, reflecting a greater capacity for thermal energy storage. This characteristic is crucial for stabilizing indoor temperatures, as it allows the materials to absorb excess heat during warmer periods and release it when temperatures drop. The enhanced specific heat, particularly in the gypsum boards, suggests that these materials could effectively contribute to the thermal mass of a building, thus improving its holistic energy management.
Reflectance measurements (Figure 14 and Figure 15) and solar reflectance data from Table 2 reveal that gypsum boards generally exhibit higher solar reflectance compared to cement boards. This characteristic makes gypsum boards more effective in reflecting solar radiation, thereby reducing cooling loads. Emissivity measurements (Figure 16 and Figure 17, Table 3) show that all samples have relatively high emissivity values, which is beneficial for releasing stored heat during cooler periods. Traditional gypsum boards generally show reflectance values around 20% to 30%, while standard gray cement typically has reflectance values between 30% and 50%. The PCM-enhanced materials in this study, however, exhibited significantly higher solar reflectance values, ranging from 42.7% to 70.31%, depending on the PCM concentration and the specific surface treatment applied. These increased solar reflectance values contribute to lower heat gain from solar radiation, reducing the cooling loads required to maintain indoor thermal comfort.
These findings highlight the dual role of PCM-enhanced materials in managing both heat gain and dissipation, making them versatile for various climatic conditions. The balance between high reflectance and high emissivity suggests that these materials can effectively reduce energy consumption by optimizing both cooling and heating needs. Further research should focus on the long-term stability of these properties in real-world conditions to confirm their practical benefits and explore the potential for further material optimization.
In summary, regarding the measurements, PCM-enhanced materials not only offer better thermal insulation by lowering thermal conductivity but also enhance solar reflectance, making them more effective in reducing energy consumption compared to traditional building materials. This dual benefit underlines the potential of PCM-enhanced materials to contribute significantly to the thermal management of buildings, leading to improved energy efficiency and sustainability in building design.
Measuring the thermal conductivity and solar reflectance of PCM-enhanced materials using the Hot Disc TPS1500 and UV-Vis-NIR spectrophotometer presents specific challenges that must be carefully managed to ensure accurate results. One primary challenge in measuring thermal conductivity is ensuring the uniform dispersion of PCM within the material matrix, as any inhomogeneity can lead to inconsistent results due to the PCM’s phase change behavior, which can cause localized variations in thermal conductivity. Additionally, the phase change nature of the PCM, which involves latent heat absorption and release, complicates the measurement process, particularly if the material’s temperature nears the PCM’s phase transition point. To address these issues, it is crucial to thoroughly prepare the samples to ensure uniform PCM distribution and to maintain a stable measurement temperature, avoiding the PCM’s phase change region. For solar reflectance measurements, challenges arise due to the PCM’s optical properties, which can vary with temperature, and surface irregularities caused by PCM integration that might influence the reflectance readings. To mitigate these challenges, measurements should be conducted under controlled temperature conditions to keep the PCM in a single phase and ensure a smooth, uniform surface finish to reduce the impact of surface irregularities. These strategies help ensure that the measurements of thermal conductivity and solar reflectance accurately reflect the properties of PCM-enhanced materials. Both measurement equipments used are high-end and comply with standards that minimize the errors and result in accurate results.
The EnergyPlus simulations provide a comprehensive analysis of the energy performance of buildings utilizing PCM-enhanced materials. Scenarios with hysteresis models consistently outperform those without hysteresis, as evidenced by the greater energy savings (Table 4 and Table 5). Specifically, Scenario S14, involving gypsum board with 30% PCM foam, demonstrates the highest energy savings of 12.8% compared to the baseline scenario at standard setpoints (20 °C for heating and 26 °C for cooling). This scenario also shows substantial net annual energy consumption savings, 22.3% (Table 6 and Table 7), indicating the significant potential of PCM-enhanced materials in reducing energy usage. The increase in the savings percentage from annual energy consumption to the net annual energy consumption indicates the compatibility of RES like PV panels with the PCMs as TES. The scenarios running on PCMs melting and freezing points as cooling and heating setpoints did not reach high percentages of savings.
Figure 18 illustrates the PCM layer node temperatures for the external roof and walls in Scenario 14 (Prominent GBF 30% Hysteresis) during winter (a) and summer (b). The data reveal that the PCM layers significantly moderate temperature fluctuations, maintaining more stable temperatures compared to non-PCM-enhanced materials. This stability is crucial in reducing thermal stress on building materials and maintaining indoor thermal comfort.
Figure 19 compares room air temperatures between the baseline scenario (S0) and the prominent PCM-enhanced scenario (S14) for different floors (ground, first, and second) during both winter and summer under free-running conditions (no HVAC). The results demonstrate that PCM-enhanced materials help in maintaining indoor temperatures closer to the desired comfort range without active heating or cooling. This suggests that PCMs can passively enhance thermal comfort, reducing the dependency on HVAC systems and potentially lowering energy consumption.
Figure 20 shows the temperature fluctuations within a test room equipped with PCM-enhanced materials compared to a control room for both winter (a) and summer (b), also under free-running conditions (no HVAC). The PCM-enhanced room experiences significantly dampened temperature peaks and valleys, indicating that PCMs effectively mitigate extreme indoor temperatures. This capacity for thermal regulation is particularly beneficial in maintaining occupant comfort and reducing the overall load on HVAC systems when they are in use, especially during peak heating and cooling periods.
Findings align with several studies that have investigated the use of PCMs in building materials. For instance, results showing up to 12.8% annual energy savings with 30% PCM-enhanced gypsum boards are comparable to the 10–46% energy efficiency improvements reported by studies in various climates [9,10,23]. Additionally, the integration of PCM into walls and roofs has demonstrated similar benefits in terms of thermal regulation and energy reduction [24,29,30]. However, it is noteworthy that the specific conditions under which these savings were achieved, such as the climatic context and the PCM concentrations, vary across studies. This suggests that while the trend in PCM effectiveness is consistent, the magnitude of energy savings is highly dependent on specific implementation details, such as the type of PCM, building design, and local climate conditions.
PCMs show varying performance across different climate conditions. In hot climates, they effectively absorb and release heat to reduce cooling needs, offering significant energy savings. In temperate climates, they provide year-round thermal regulation by adapting to seasonal temperature variations, ensuring frequent phase changes. In cold climates, their effectiveness is limited due to fewer phase changes, focusing more on heat retention to maintain indoor warmth. In general, the performance of paraffin-based PCMs hinges on selecting materials with appropriate melting points and optimizing thermal properties to match specific climate conditions.
Moreover, the performance of PCM-enhanced materials in this study, particularly in temperate and hot climates, supports the conclusions of Yan et al. [23] and Lee et al. [24], who demonstrated significant reductions in cooling loads when PCMs were integrated into building envelopes. The energy savings reported in this study, especially under hysteresis scenarios, are slightly higher than those reported by Lee et al. [24], which could be attributed to differences in the PCM content, the specific materials used, or the simulation settings.
In terms of thermal regulation and the maintenance of indoor comfort, the results of this work are consistent with the findings of Kuznik and Virgone [15], who also observed that PCM integration into building materials helps maintain stable indoor temperatures and reduces reliance on HVAC systems. However, while this study focuses on cement and gypsum boards, Kuznik and Virgone [15] primarily examined PCM-impregnated concrete walls, which may offer different thermal dynamics due to the inherent properties of concrete compared to gypsum and cement.
It is also important to address the trade-offs observed in our study between thermal benefits and other material properties, such as mechanical strength. Rostami et al. [48] and Miccoli et al. [40] have similarly reported that while PCMs improve thermal performance, they may compromise other material characteristics, highlighting the need for balanced material design. Our findings corroborate these observations, suggesting that while PCM-enhanced materials offer substantial energy savings, careful consideration of their mechanical properties is essential, particularly in load-bearing applications.
The study’s findings have significant implications for both the design and construction of new buildings and the retrofitting of existing buildings with PCM-enhanced materials. For new buildings, incorporating paraffin-based PCMs into the initial design allows for optimal placement and integration, maximizing energy efficiency and thermal performance from the outset. This proactive approach can result in substantial long-term energy savings, improved occupant comfort, and enhanced sustainability credentials, making it easier to achieve green building certifications. Conversely, retrofitting existing buildings with PCM-enhanced materials provides a viable path to improve energy efficiency without the need for major structural changes. This can be particularly beneficial for older buildings, where adding PCM-enhanced gypsum boards, walls, or roofs can significantly reduce energy consumption for heating and cooling. Both strategies demonstrate that PCM technology can be flexibly applied to improve building performance, whether in new constructions designed with energy efficiency in mind or in existing structures seeking to enhance their thermal regulation and reduce energy costs.
Overall, while paraffin-based PCMs may not have the highest thermal properties among the different PCM types, their favorable characteristics, such as chemical stability, ease of integration, and cost-effectiveness, make them a highly practical choice for building applications. The energy savings and thermal regulation achieved in this study align well with the results observed in studies using other PCM types, reaffirming the potential of PCMs in enhancing building energy efficiency.
The potential for scalability and mass adoption of paraffin-based PCM technology in the building industry is strong due to its cost-effectiveness, abundant availability, and established manufacturing processes. Paraffin-based PCMs offer significant energy savings and improved thermal regulation, making them attractive for both new constructions and retrofits. As demand for sustainable, energy-efficient building solutions grows, driven by stringent building codes and green certification requirements, the adoption of PCM technology is likely to increase. Collaborative efforts between manufacturers, builders, and policymakers can further support widespread implementation, making paraffin-based PCMs a mainstream solution in the building industry.
Future work should involve testing the replication of this methodology by subjecting the samples to stress under a weather simulation station. This approach will reveal how these materials behave and what their properties become after prolonged exposure to environmental conditions. Additionally, implementing these materials in a pilot building will be crucial to validating the findings of this study, providing also practical insights into their long-term performance and effectiveness. Furthermore, the impact of the integration of paraffin-based PCMs on the structural integrity and durability of building components over long-term use should be examined in future work. Moreover, the economic feasibility of using paraffin-based PCMs in building components should be explored in future work.

5. Conclusions

The study demonstrates that integrating paraffin-based Phase Change Materials (PCMs) into building materials such as cement and gypsum boards significantly en-hances thermal performance and energy efficiency. Differential Scanning Calorimeter (DSC) measurements show that increasing PCM content in the boards enhances their thermal storage capacity, essential for stabilizing indoor temperatures and reducing heating and cooling demands, with enthalpy values increasing from 45,851 J/kg to 80,042 J/kg as PCM content increases to 30%. Thermal conductivity tests revealed that cement boards with 10% PCM content exhibited the lowest thermal conductivity at 0.063 W/mK, which is beneficial for reducing heat transfer. Gypsum boards, on the other hand, with 30% PCM content showed a higher thermal conductivity of 0.173 W/mK, enhancing thermal mass and energy storage. So, lower PCM content in cement boards reduces heat transfer, while higher PCM content in gypsum boards enhances thermal mass and energy storage. Solar reflectance measurements showed that gypsum boards with 10% PCM content had the highest solar reflectance at 70.31%, effectively reducing cooling loads. Emissivity data, measured across different samples, indicated high heat release during cooler periods, with values ranging from 0.78 to 0.91.
EnergyPlus simulations based on these measured properties demonstrated that PCM-enhanced materials can effectively moderate indoor temperatures, reducing the reliance on HVAC systems. Specifically, the use of 30% PCM-enhanced gypsum boards resulted in a 12.8% reduction in annual energy consumption, from 121.63 kWh/m2 to 106.05 kWh/m2, and a 22.3% reduction in net annual energy consumption, from 69.80 kWh/m2 to 54.23 kWh/m2, compared to baseline scenarios. Additionally, scenarios that incorporated PCMs with hysteresis models showed up to 19.5% energy savings, highlighting the importance of accounting for thermal cycling in PCM applications.
Key findings include:
  • PCM-enhanced gypsum boards with 30% PCM content resulted in the highest energy savings, achieving a reduction of up to 12.8% in annual energy consumption and 22.3% in net annual energy consumption compared to baseline.
  • Scenarios incorporating PCMs with hysteresis outperformed those without, indicating the importance of considering thermal cycling in PCM applications.
  • The use of PCM-enhanced materials in building components can lead to significant improvements in indoor thermal comfort by maintaining more stable temperatures and reducing thermal stress on building materials.
These findings indicate that PCM-enhanced materials hold significant potential for improving indoor thermal comfort by stabilizing temperatures and reducing thermal stress on building components. To advance the adoption of PCM technologies in energy-efficient and sustainable building designs, future research should prioritize long-term performance testing of these materials under real environmental conditions and explore their implementation in pilot buildings. Additionally, it is crucial to examine the long-term effects of integrating paraffin-based PCMs on the structural integrity and durability of building components. Moreover, assessing the economic feasibility of using paraffin-based PCMs in building materials will be essential for evaluating their practical application and widespread adoption.

Author Contributions

Conceptualization, F.L., D.K., D.G., M.K. and I.V.Y.; methodology, F.L. and D.K.; software, F.L.; validation, F.L. and D.K.; formal analysis, F.L. and D.K.; investigation, F.L.; resources, M.K. and D.G.; data curation, F.L. and C.G.; writing—original draft preparation, F.L.; writing—review and editing, F.L.; visualization, F.L.; supervision, D.K.; project administration, I.V.Y.; funding acquisition, I.V.Y. All authors have read and agreed to the published version of the manuscript.

Funding

We acknowledge support of this work by the project “Advanced Nanostructured Materials for Sustainable Growth: Green Energy Production/Storage, Energy Saving and Environmental Remediation” (TAEDR-0535821) which is implemented under the action “Flagship actions in interdisciplinary scientific fields with a special focus on the productive fabric” (ID 16618), Greece 2.0—National Recovery and Resilience Fund and funded by European Union NextGenerationEU.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Acknowledgments

Special thanks to AEA srl, for their support with the case study building.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

Table A1. Material properties inputs in EnergyPlus for the cement (CBF) and gypsum (GBF) board samples.
Table A1. Material properties inputs in EnergyPlus for the cement (CBF) and gypsum (GBF) board samples.
FieldUnitsSamples
Name CBF28_30CBF28_20CBF28_10GBF28_30GBF28_20GBF28_15GBF28_10
Roughness SmoothSmoothSmoothSmoothSmoothSmoothSmooth
Thicknessm0.20.20.20.20.20.20.2
ConductivityW/mK0.0860.0860.0630.1730.1700.1750.164
Densitykg/m3650630540950940960870
Specific HeatJ/kgK125160106118105101103
Thermal Absorptance 0.940.980.910.910.880.90.87
Solar Absorptance 0.570.550.550.510.440.320.30
Visible Absorptance 0.580.550.580.540.480.350.33
Table A2. Material phase changing properties inputs in EnergyPlus for the cement (CBF) and gypsum (GBF) board samples.
Table A2. Material phase changing properties inputs in EnergyPlus for the cement (CBF) and gypsum (GBF) board samples.
FieldUnitsSamples
Name CBF28_30CBF28_20CBF28_10GBF28_30GBF28_20GBF28_15GBF28_10
Temperature 1C10.0410.0310.0710.0410.0910.0610.06
Enthalpy 1J/kg1260416,46215,97318,42111,03511,98511,821
Temperature 2C26.5426.5326.3128.2928.0927.0625.57
Enthalpy 2J/kg45,85153,28550,51968,86841,89837,23433,808
Temperature 3C26.7926.7826.728.5428.3327.3125.82
Enthalpy 3J/kg47,20354,55051,53471,30543,37938,36334,378
Temperature 4C30.0430.0335.0730.0430.0930.0630.07
Enthalpy 4J/kg54,08561,47867,47780,04247,97843,24841,169
Table A3. Material phase changing properties inputs in EnergyPlus for the cement (CBF) and gypsum (GBF) board samples.
Table A3. Material phase changing properties inputs in EnergyPlus for the cement (CBF) and gypsum (GBF) board samples.
FieldUnitsSamples
Name CBF28_30CBF28_20CBF28_10GBF28_30GBF28_20GBF28_15GBF28_10
Latent Heat during the Entire Phase Change ProcessJ/kg66,81177,24644,500100,03360,10855,72654,022
Liquid State Thermal ConductivityW/mK0.0860.0860.0630.1730.1700.1750.164
Liquid State Densitykg/m3650630540950940960870
Liquid State Specific HeatJ/kgK125160106118105101103
High Temperature Difference in Melting CurvedeltaC2.341.932.172.722.242.612.12
Peak Melting TemperatureC26.726.626.428.328.127.225.7
Low Temperature Difference in Melting CurvedeltaC7.45.577.584.015.264.394.63
Solid State Thermal ConductivityW/mK0.0860.0860.0630.1730.1700.1750.164
Solid State Densitykg/m3650630540950940960870
Solid State Specific HeatJ/kgK125160106118105101103
High Temperature Difference in Freezing CurvedeltaC1.843.92.31.521.711.705.03
Peak Freezing TemperatureC23.422.822.724.524.324.0422.2
Low Temperature Difference in Freezing CurvedeltaC8.412.87.443.733.293.053.47

References

  1. Wang, X.; Li, W.; Luo, Z.; Wang, K.; Shah, S.P. A critical review on phase change materials (PCM) for sustainable and energy efficient building: Design, characteristic, performance and application. Energy Build. 2022, 260, 111923. [Google Scholar] [CrossRef]
  2. Sharma, A.; Tyagi, V.V.; Chen, C.R.; Buddhi, D. Review on thermal energy storage with phase change materials and applications. Renew. Sustain. Energy Rev. 2009, 13, 318–345. [Google Scholar] [CrossRef]
  3. Kahwaji, S.; White, M.A. Organic Phase Change Materials for Thermal Energy Storage: Influence of Molecular Structure on Properties. Molecules 2021, 26, 6635. [Google Scholar] [CrossRef] [PubMed]
  4. Zhang, Y.; Lin, K.; Zhang, Q.; Di, H. Ideal thermophysical properties for free-cooling (or heating) buildings with constant thermal physical property material. Energy Build. 2006, 38, 1164–1170. [Google Scholar] [CrossRef]
  5. Wang, X.; Zhang, Y.; Xiao, W.; Zeng, R.; Zhang, Q.; Di, H. Review on thermal performance of phase change energy storage building envelope. Sci. Bull. 2009, 54, 920–928. [Google Scholar] [CrossRef]
  6. Sadineni, S.B.; Madala, S.; Boehm, R.F. Passive building energy savings: A review of building envelope components. Renew. Sustain. Energy Rev. 2011, 15, 3617–3631. [Google Scholar] [CrossRef]
  7. Stropnik, R.; Koželj, R.; Zavrl, E.; Stritih, U. Improved thermal energy storage for nearly zero energy buildings with PCM integration. Sol. Energy 2019, 190, 420–426. [Google Scholar] [CrossRef]
  8. Najafi, S.; Khoshraj, M. Microencapsulation of Butyl Palmitate in Polystyrene-co-Methyl Methacrylate Shell for Thermal Energy Storage Application. Iran. J. Chem. Chem. Eng. 2018, 37, 187–194. [Google Scholar]
  9. Saafi, K.; Daouas, N. Energy and cost efficiency of phase change materials integrated in building envelopes under Tunisia Mediterranean climate. Energy 2019, 187, 115987. [Google Scholar] [CrossRef]
  10. Soares, N.; Costa, J.J.; Gaspar, A.R.; Santos, P. Review of passive PCM latent heat thermal energy storage systems towards buildings’ energy efficiency. Energy Build. 2013, 59, 82–103. [Google Scholar] [CrossRef]
  11. Baetens, R.; Jelle, B.P.; Gustavsen, A. Phase change materials for building applications: A state-of-the-art review. Energy Build. 2010, 42, 1361–1368. [Google Scholar] [CrossRef]
  12. Reddy, V.J.; Ghazali, M.F.; Kumarasamy, S. Innovations in phase change materials for diverse industrial applications: A comprehensive review. Results Chem. 2024, 8, 101552. [Google Scholar] [CrossRef]
  13. Al-Yasiri, Q.; Szabó, M. Paraffin As a Phase Change Material to Improve Building Performance: An Overview of Applications and Thermal Conductivity Enhancement Techniques. Renew. Energy Environ. Sustain. 2021, 6, 38. [Google Scholar] [CrossRef]
  14. Reyez-Araiza, J.L.; Pineda-Piñón, J.; López-Romero, J.M.; Gasca-Tirado, J.R.; Arroyo Contreras, M.; Jáuregui Correa, J.C.; Apátiga-Castro, L.M.; Rivera-Muñoz, E.M.; Velazquez-Castillo, R.R.; Pérez Bueno, J.d.J.; et al. Thermal Energy Storage by the Encapsulation of Phase Change Materials in Building Elements—A Review. Materials 2021, 14, 1420. [Google Scholar] [CrossRef] [PubMed]
  15. Kuznik, F.; Virgone, J. Experimental assessment of a phase change material for wall building use. Appl. Energy 2009, 86, 2038–2046. [Google Scholar] [CrossRef]
  16. Cui, Y.; Xie, J.; Liu, J.; Wang, J.; Chen, S. A review on phase change material application in building. Adv. Mech. Eng. 2017, 9, 168781401770082. [Google Scholar] [CrossRef]
  17. Zhu, N.; Wang, S.; Xu, X.; Ma, Z. A simplified dynamic model of building structures integrated with shaped-stabilized phase change materials. Int. J. Therm. Sci. 2010, 49, 1722–1731. [Google Scholar] [CrossRef]
  18. Reddy, K.D.; Venkataramaiah, P.; Lokesh, T.R. Parametric Study on Phase Change Material Based Thermal Energy Storage System. Energy Power Eng. 2014, 6, 537–549. [Google Scholar] [CrossRef]
  19. Cabeza, L.F.; Castellón, C.; Nogués, M.; Medrano, M.; Leppers, R.; Zubillaga, O. Use of microencapsulated PCM in concrete walls for energy savings. Energy Build. 2007, 39, 113–119. [Google Scholar] [CrossRef]
  20. Fang, X.; Yang, T. Regression methodology for sensitivity analysis of solar heating walls. Appl. Therm. Eng. 2008, 28, 2289–2294. [Google Scholar] [CrossRef]
  21. Li, Y.; Darkwa, J.; Su, W. Investigation on Thermal Performance of an Integrated Phase Change Material Blind System for Double Skin Façade Buildings. Energy Procedia 2019, 158, 5116–5123. [Google Scholar] [CrossRef]
  22. Rathore, P.K.S.; Shukla, S.K. An experimental evaluation of thermal behavior of the building envelope using macroencapsulated PCM for energy savings. Renew. Energy 2020, 149, 1300–1313. [Google Scholar] [CrossRef]
  23. Yan, T.; Li, J.; Gao, J.; Xu, X.; Yu, J. Model validation and application of the coupled system of pipe-encapsulated PCM wall and nocturnal sky radiator. Appl. Therm. Eng. 2021, 194, 117057. [Google Scholar] [CrossRef]
  24. Lee, K.O.; Medina, M.A.; Raith, E.; Sun, X. Assessing the integration of a thin phase change material (PCM) layer in a residential building wall for heat transfer reduction and management. Appl. Energy 2015, 137, 699–706. [Google Scholar] [CrossRef]
  25. Zhu, N.; Deng, R.; Hu, P.; Lei, F.; Xu, L.; Jiang, Z. Coupling optimization study of key influencing factors on PCM trombe wall for year thermal management. Energy 2021, 236, 121470. [Google Scholar] [CrossRef]
  26. Wu, D.; Rahim, M.; El Ganaoui, M.; Djedjig, R.; Bennacer, R.; Liu, B. Experimental investigation on the hygrothermal behavior of a new multilayer building envelope integrating PCM with bio-based material. Build Environ. 2021, 201, 107995. [Google Scholar] [CrossRef]
  27. Babaharra, O.; Choukairy, K.; Faraji, H.; Hamdaoui, S. Improved heating floor thermal performance by adding PCM microcapsules enhanced by single and hybrid nanoparticles. Heat Transf. 2023, 52, 3817–3838. [Google Scholar] [CrossRef]
  28. Hariti, Y.; Hader, A.; Faraji, H.; Boughaleb, Y. Scaling Law Of Permeability And Porosity For Fluid Transport Phenomena In Porous Pcm Media. J. Appl. Comput. Mech. 2021, 7, 84–92. [Google Scholar] [CrossRef]
  29. Shukla, N.; Fallahi, A.; Kosny, J. Performance characterization of PCM impregnated gypsum board for building applications. Energy Procedia 2012, 30, 370–379. [Google Scholar] [CrossRef]
  30. Jeong, S.-G.; Chang, S.J.; Wi, S.; Lee, J.; Kim, S. Energy performance evaluation of heat-storage gypsum board with hybrid SSPCM composite. J. Ind. Eng. Chem. 2017, 51, 237–243. [Google Scholar] [CrossRef]
  31. Qi, C.; Zhang, F.; Mu, J.; Zhang, Y.; Yu, Z. Enhanced mechanical and thermal properties of hollow wood composites filled with phase-change material. J. Clean. Prod. 2020, 256, 120373. [Google Scholar] [CrossRef]
  32. King, M.F.L.; Rao, P.N.; Sivakumar, A.; Mamidi, V.K.; Richard, S.; Vijayakumar, M.; Arunprasath, K.; Kumar, P.M. Thermal performance of a double-glazed window integrated with a phase change material (PCM). Mater. Today Proc. 2022, 50, 1516–1521. [Google Scholar] [CrossRef]
  33. Qu, Y.; Zhou, D.; Xue, F.; Cui, L. Multi-factor analysis on thermal comfort and energy saving potential for PCM-integrated buildings in summer. Energy Build. 2021, 241, 110966. [Google Scholar] [CrossRef]
  34. Bhamare, D.K.; Rathod, M.K.; Banerjee, J. Selection of phase change material and establishment of thermophysical properties of phase change material integrated with roof of a building using Measure of Key Response index: Proposal of a new parameter. J. Energy Storage 2020, 32, 101812. [Google Scholar] [CrossRef]
  35. Boobalakrishnan, P.; Kumar, P.M.; Balaji, G.; Jenaris, D.S.; Kaarthik, S.; Babu, M.J.P.; Karthhik, K. Thermal management of metal roof building using phase change material (PCM). Mater. Today Proc. 2021, 47, 5052–5058. [Google Scholar] [CrossRef]
  36. Xiao, Z.; Mishra, P.; Nejad, A.M.; Tao, M.; Granados-Focil, S.; Van Dessel, S. Thermal optimization of a novel thermo-optically responsive SS-PCM coatings for building enclosures. Energy Build. 2021, 247, 111129. [Google Scholar] [CrossRef]
  37. Zhou, T.; Darkwa, J.; Kokogiannakis, G. Thermal evaluation of laminated composite phase change material gypsum board under dynamic conditions. Renew. Energy 2015, 78, 448–456. [Google Scholar] [CrossRef]
  38. Zhou, Y.; Wu, G.; Li, D.; Jiang, W.; Kadhim Hussein, A.; Fu, S.; Wang, Z. Dynamic thermal stress analysis of PCM-glazed unit under intermittent solar irradiation. In Energy Sources, Part A: Recovery, Utilization, and Environmental Effects; Taylor & Francis: Abingdon, UK, 2021; pp. 1–19. [Google Scholar] [CrossRef]
  39. Miccoli, F.; Cavargna, A.; Mongibello, L.; Iasiello, M.; Bianco, N. Experimental Characterization and Numerical Simulation of a Low-Scale Personal Cooling System with Integrated PCM. Energies 2024, 17, 1118. [Google Scholar] [CrossRef]
  40. Šavija, B. Smart Crack Control in Concrete through Use of Phase Change Materials (PCMs): A Review. Materials 2018, 11, 654. [Google Scholar] [CrossRef] [PubMed]
  41. Esmaeeli, H.S.; Farnam, Y.; Haddock, J.E.; Zavattieri, P.D.; Weiss, W.J. Numerical analysis of the freeze-thaw performance of cementitious composites that contain phase change material (PCM). Mater. Des. 2018, 145, 74–87. [Google Scholar] [CrossRef]
  42. Farnam, Y.; Esmaeeli, H.S.; Zavattieri, P.D.; Haddock, J.; Weiss, J. Incorporating phase change materials in concrete pavement to melt snow and ice. Cement Concr. Compos. 2017, 84, 134–145. [Google Scholar] [CrossRef]
  43. Hunger, M.; Entrop, A.G.; Mandilaras, I.; Brouwers, H.J.H.; Founti, M. The behavior of self-compacting concrete containing micro-encapsulated Phase Change Materials. Cement Concr. Compos. 2009, 31, 731–743. [Google Scholar] [CrossRef]
  44. Kuznik, F.; David, D.; Johannes, K.; Roux, J.-J. A review on phase change materials integrated in building walls. Renew. Sustain. Energy Rev. 2011, 15, 379–391. [Google Scholar] [CrossRef]
  45. Boussaba, L.; Foufa, A.; Makhlouf, S.; Lefebvre, G.; Royon, L. Elaboration and properties of a composite bio-based PCM for an application in building envelopes. Constr. Build. Mater. 2018, 185, 156–165. [Google Scholar] [CrossRef]
  46. Zhou, D.; Shire, G.S.F.; Tian, Y. Parametric analysis of influencing factors in Phase Change Material Wallboard (PCMW). Appl. Energy 2014, 119, 33–42. [Google Scholar] [CrossRef]
  47. Rostami, J.; Sahneh, A.R.; Sedighardekani, R.; Latifinowsoud, M.; Rostami, R.; Kaltaei, A.; Ataabadi, H.S.; Bahrami, N.; Mahmoudy, S.A.; Khandel, O. Influence of phase change material and nano silica aerogel aggregates on the characteristics of cementitious composite: An experimental and predictive study. J. Build. Eng. 2024, 82, 108148. [Google Scholar] [CrossRef]
  48. Diaconu, B.; Cruceru, M.; Anghelescu, L. Fire Retardance Methods and Materials for Phase Change Materials: Performance, Integration Methods, and Applications—A Literature Review. Fire 2023, 6, 175. [Google Scholar] [CrossRef]
  49. Wang, C.; Zhang, G.; Zhang, X. Experimental and Photothermal Performance Evaluation of Multi-Wall Carbon-Nanotube-Enhanced Microencapsulation Phase Change Slurry for Efficient Photothermal Conversion and Storage. Energies 2022, 15, 7627. [Google Scholar] [CrossRef]
  50. Xie, L.J.; Jiang, J.C.; Huang, A.C.; Tang, Y.; Liu, Y.C.; Zhou, H.L.; Xing, Z.X. Calorimetric Evaluation of Thermal Stability of Organic Liquid Hydrogen Storage Materials and Metal Oxide Additives. Energy 2022, 15, 2236. [Google Scholar] [CrossRef]
  51. Gioti, C.; Karakassides, A.; Asimakopoulos, G.; Baikousi, M.; Salmas, C.E.; Viskadourakis, Z.; Kenanakis, G.; Karakassides, M.A. Multifunctional Carbon-Based Hybrid Foams for Shape-Stabilization of Phase Change Materials, Thermal Energy Storage, and Electromagnetic Interference Shielding Functions. Micro 2022, 2, 390–409. [Google Scholar] [CrossRef]
  52. Kampelis, N.; Gobakis, K.; Vagias, V.; Kolokotsa, D.; Standardi, L.; Isidori, D.; Cristalli, C.; Montagnino, F.M.; Paredes, F.; Muratore, P.; et al. Evaluation of the performance gap in industrial, residential & tertiary near-Zero energy buildings. Energy Build. 2017, 148, 58–73. [Google Scholar] [CrossRef]
Figure 1. Paraffin-based-focused PCM categories and their applications in buildings.
Figure 1. Paraffin-based-focused PCM categories and their applications in buildings.
Energies 17 04155 g001
Figure 2. Methodology.
Figure 2. Methodology.
Energies 17 04155 g002
Figure 3. Experiments setup. (a) Differential Scanning Calorimeter (DSC), (b) Thermal conductivity, (c) solar reflectance, and (d) emissivity.
Figure 3. Experiments setup. (a) Differential Scanning Calorimeter (DSC), (b) Thermal conductivity, (c) solar reflectance, and (d) emissivity.
Energies 17 04155 g003
Figure 4. EnergyPlus building simulation model with measured PCM material properties.
Figure 4. EnergyPlus building simulation model with measured PCM material properties.
Energies 17 04155 g004
Figure 5. Leaf house case study building model in OpenStudio.
Figure 5. Leaf house case study building model in OpenStudio.
Energies 17 04155 g005
Figure 6. Cement board with 10% v/v PCM/foam: (a) Differential Scanning Calorimeter (DSC) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Figure 6. Cement board with 10% v/v PCM/foam: (a) Differential Scanning Calorimeter (DSC) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Energies 17 04155 g006
Figure 7. Cement board with 20% v/v PCM/foam: (a) Differential Scanning Calorimeter (DSC) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Figure 7. Cement board with 20% v/v PCM/foam: (a) Differential Scanning Calorimeter (DSC) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Energies 17 04155 g007
Figure 8. Cement board with 30% v/v PCM/foam: (a) Differential Scanning Calorimeter (DSC) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Figure 8. Cement board with 30% v/v PCM/foam: (a) Differential Scanning Calorimeter (DSC) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Energies 17 04155 g008
Figure 9. Gypsum Board with 10% w/w PCM/foam: (a) Differential Scanning Calorimeter (DSC) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Figure 9. Gypsum Board with 10% w/w PCM/foam: (a) Differential Scanning Calorimeter (DSC) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Energies 17 04155 g009
Figure 10. Gypsum board with 15% w/w PCM/foam: (a) Differential Scanning Calorimeter (DSC) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Figure 10. Gypsum board with 15% w/w PCM/foam: (a) Differential Scanning Calorimeter (DSC) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Energies 17 04155 g010
Figure 11. Gypsum Board with 20% w/w PCM/foam: (a) Differential Scanning Calorimeter (DSC,) Enthalpy Diagram over Temperature of Melting and Freezing Curves; (b) Normalized Cumulative Enthalpy Diagrams of Melting and Freezing Curves.
Figure 11. Gypsum Board with 20% w/w PCM/foam: (a) Differential Scanning Calorimeter (DSC,) Enthalpy Diagram over Temperature of Melting and Freezing Curves; (b) Normalized Cumulative Enthalpy Diagrams of Melting and Freezing Curves.
Energies 17 04155 g011
Figure 12. Gypsum board with 30% w/w PCM/foam: (a) Differential Scanning Calorimeter (DSC,) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Figure 12. Gypsum board with 30% w/w PCM/foam: (a) Differential Scanning Calorimeter (DSC,) enthalpy diagram over temperature of melting and freezing curves; (b) normalized cumulative enthalpy diagrams of melting and freezing curves.
Energies 17 04155 g012
Figure 13. Hot disc measurements: (a) thermal conductivity (W/mK) for every sample; (b) specific heat (MJ/m3K) for every sample.
Figure 13. Hot disc measurements: (a) thermal conductivity (W/mK) for every sample; (b) specific heat (MJ/m3K) for every sample.
Energies 17 04155 g013
Figure 14. Cary 5000 UV-Vis-NIR Spectrophotometer measured reflectance (%) over 200–2500 wavelength (nm) for cement (CBF) board samples.
Figure 14. Cary 5000 UV-Vis-NIR Spectrophotometer measured reflectance (%) over 200–2500 wavelength (nm) for cement (CBF) board samples.
Energies 17 04155 g014
Figure 15. Cary 5000 UV-Vis-NIR Spectrophotometer measured reflectance (%) over 200–2500 wavelength (nm) for gypsum (GBF) board samples.
Figure 15. Cary 5000 UV-Vis-NIR Spectrophotometer measured reflectance (%) over 200–2500 wavelength (nm) for gypsum (GBF) board samples.
Energies 17 04155 g015
Figure 16. Cement board samples emissivity measurements with transient method.
Figure 16. Cement board samples emissivity measurements with transient method.
Energies 17 04155 g016
Figure 17. Gypsum (GBF) board samples emissivity measurements with transient method.
Figure 17. Gypsum (GBF) board samples emissivity measurements with transient method.
Energies 17 04155 g017
Figure 18. Scenario 14 (prominent gypsum boards GBF 30% Hysterisis) PCM layer node temperatures for external roof and walls; (a) winter and (b) summer.
Figure 18. Scenario 14 (prominent gypsum boards GBF 30% Hysterisis) PCM layer node temperatures for external roof and walls; (a) winter and (b) summer.
Energies 17 04155 g018
Figure 19. Free-running scenarios 0 (baseline) and 14 (prominent: GBF30% hysteresis). Room air temperature with 20–26 heating and cooling setpoints for ground (a,b), 1st (c,d) and second floor (e,f), and for winter and summer.
Figure 19. Free-running scenarios 0 (baseline) and 14 (prominent: GBF30% hysteresis). Room air temperature with 20–26 heating and cooling setpoints for ground (a,b), 1st (c,d) and second floor (e,f), and for winter and summer.
Energies 17 04155 g019
Figure 20. Free-running scenario 14 (prominent gypsum boards GBF 30% Hysterisis) PCM layer node temperatures for external rood and walls; (a) winter and (b) summer.
Figure 20. Free-running scenario 14 (prominent gypsum boards GBF 30% Hysterisis) PCM layer node temperatures for external rood and walls; (a) winter and (b) summer.
Energies 17 04155 g020
Table 1. Thermal conductivity and specific heat measurements for the cement (CBF) and gypsum (GBF) board samples taken with Hot Disc.
Table 1. Thermal conductivity and specific heat measurements for the cement (CBF) and gypsum (GBF) board samples taken with Hot Disc.
SampleThermal Conductivity (W/mK)Specific Heat (MJ/m3K)
AverageSTDAverageSTD
CBF-100.0630.0010.0570.005
CBF-200.0860.0020.0570.005
CBF-300.0860.0070.1020.022
GBF-100.1640.0010.0890.007
GBF-150.1750.0020.0970.007
GBF-200.1700.0030.0990.005
GBF-300.1730.0010.1120.009
Table 2. Solar Reflectance (SR %) at UV, VIS and NIR for the cement (CBF) and gypsum (GBF) board samples calculated from reflectance measured in Cary 5000 UV-Vis-NIR Spectrophotometer.
Table 2. Solar Reflectance (SR %) at UV, VIS and NIR for the cement (CBF) and gypsum (GBF) board samples calculated from reflectance measured in Cary 5000 UV-Vis-NIR Spectrophotometer.
SampleSR (%)SR UV (%)SR VIS (%)SR NIR (%)
CBF28 10%44.8829.5241.7647.60
CBF28 20%44.7932.7344.5344.79
CBF28 30%42.7026.5442.2643.68
GBF28 10%70.3155.4366.7573.31
GBF28 15%67.9850.2565.1670.61
GBF28 20%56.3134.3251.9560.14
GBF28 30%48.5934.9946.2050.76
Table 3. Emissivity measurements (transient method) and visual extrapolated values for the cement (CBF) and gypsum (GBF) board samples.
Table 3. Emissivity measurements (transient method) and visual extrapolated values for the cement (CBF) and gypsum (GBF) board samples.
N/NTime (s)CBF10%CBF20%CBF30%GBF10%GBF15%GBF20%GBF30%
100.880.870.850.890.890.880.88
2150.90.990.930.880.90.890.91
3300.890.980.90.860.890.880.91
4450.860.960.880.850.880.870.9
5600.840.930.860.840.870.860.9
6850.810.90.830.820.860.860.89
71200.780.870.80.80.850.850.88
81450.760.850.780.790.830.840.88
E = 1 × R0 extrapolated (vis)0.910.980.940.870.90.880.91
Table 4. EnergyPlus simulation annual energy consumption results for the cement (CBF) and gypsum (GBF) board samples at 20 °C and 26 °C cooling and heating setpoints, respectively.
Table 4. EnergyPlus simulation annual energy consumption results for the cement (CBF) and gypsum (GBF) board samples at 20 °C and 26 °C cooling and heating setpoints, respectively.
N/NScenarioAnnual Energy Consumption (kWh)kWh/m2Savings (%)
S0Baseline Setpoint 20–2688,679121.6-
S1CBF10% nonHysterisis External Wall + Roof 84,862116.44.3
S2CBF10% Hysterisis External Wall + Roof 80,570110.59.1
S3CBF20% nonHysterisis External Wall + Roof 82,198112.77.3
S4CBF20% Hysterisis External Wall + Roof 79,476109.010.4
S5CBF30% nonHysterisis External Wall + Roof 85,204116.93.9
S6CBF30% Hysterisis External Wall + Roof 80,148109.99.6
S7GBF10% nonHysterisis External Wall + Roof 85,924117.93.1
S8GBF10% Hysterisis External Wall + Roof 79,098108.510.8
S9GBF15% nonHysterisis External Wall + Roof 85,946117.93.1
S10GBF15% Hysterisis External Wall + Roof 78,742108.011.2
S11GBF20% nonHysterisis External Wall + Roof 85,879117.83.2
S12GBF20% Hysterisis External Wall + Roof 78,817108.111.1
S13GBF30% nonHysterisis External Wall + Roof 85,682117.53.4
S14GBF30% Hysterisis External Wall + Roof77,323106.112.8
Table 5. EnergyPlus simulation annual energy consumption results for the cement (CBF) and gypsum (GBF) board samples at materials’ melting and freezing points, cooling and heating setpoints, respectively.
Table 5. EnergyPlus simulation annual energy consumption results for the cement (CBF) and gypsum (GBF) board samples at materials’ melting and freezing points, cooling and heating setpoints, respectively.
N/NScenarioAnnual Energy Consumption (kWh)kWh/m2Savings (%)
S15Baseline Setpoint MP-FP CBF10%114,073156.45-
S16CBF10% nonHysterisis External Wall + Roof 109,500150.185.2
S17CBF10% Hysterisis External Wall + Roof 105,517144.729.6
S18Baseline Setpoint MP-FP CBF20%113,078155.09-
S19CBF20% nonHysterisis External Wall + Roof 105,475144.666.7
S20CBF20% Hysterisis External Wall + Roof 104,003142.648.0
S21Baseline Setpoint MP-FP CBF30%117,671161.39-
S22CBF30% nonHysterisis External Wall + Roof 113,634155.853.4
S23CBF30% Hysterisis External Wall + Roof 108,759149.167.6
S24Baseline Setpoint MP-FP GBF10%110,581151.66-
S25GBF10% nonHysterisis External Wall + Roof 107,470147.402.8
S26GBF10% Hysterisis External Wall + Roof 101,825139.657.9
S27Baseline Setpoint MP-FP GBF15%123,238169.02-
S28GBF15% nonHysterisis External Wall + Roof 120,349165.062.3
S29GBF15% Hysterisis External Wall + Roof 113,659155.897.8
S30Baseline Setpoint MP-FP GBF20%124,215170.36-
S31GBF20% nonHysterisis External Wall + Roof 121,465166.592.2
S32GBF20% Hysterisis External Wall + Roof 114,331156.818.0
S33Baseline Setpoint MP-FP GBF30%128,969176.88-
S34GBF30% nonHysterisis External Wall + Roof 126,032172.862.3
S35GBF30% Hysterisis External Wall + Roof 118,657162.748.0
Table 6. EnergyPlus simulation annual net energy consumption results for all samples at 20 °C and 26 °C cooling and heating setpoints, respectively.
Table 6. EnergyPlus simulation annual net energy consumption results for all samples at 20 °C and 26 °C cooling and heating setpoints, respectively.
N/NScenarioNet Annual Energy Consumption (kWh)kWh/m2Savings (%)
S0Baseline Setpoint 20–2650,89369.80-
S1CBF10% nonHysterisis External Wall + Roof 47,08264.577.5
S2CBF10% Hysterisis External Wall + Roof 42,78458.6815.9
S3CBF20% nonHysterisis External Wall + Roof 44,41260.9112.7
S4CBF20% Hysterisis External Wall + Roof 41,68957.1818.1
S5CBF30% nonHysterisis External Wall + Roof 47,41865.036.8
S6CBF30% Hysterisis External Wall + Roof 42,36558.1016.8
S7GBF10% nonHysterisis External Wall + Roof 48,14066.025.4
S8GBF10% Hysterisis External Wall + Roof 41,31256.6618.8
S9GBF15% nonHysterisis External Wall + Roof 48,15966.055.4
S10GBF15% Hysterisis External Wall + Roof 40,95956.1819.5
S11GBF20% nonHysterisis External Wall + Roof 48,09365.965.5
S12GBF20% Hysterisis External Wall + Roof 41,03156.2719.4
S13GBF30% nonHysterisis External Wall + Roof 47,24364.797.2
S14GBF30% Hysterisis External Wall + Roof39,53954.2322.3
Table 7. EnergyPlus simulation net annual energy consumption results for all the cement (CBF) and gypsum (GBF) board samples at materials’ melting and freezing points, cooling and heating setpoints, respectively.
Table 7. EnergyPlus simulation net annual energy consumption results for all the cement (CBF) and gypsum (GBF) board samples at materials’ melting and freezing points, cooling and heating setpoints, respectively.
N/NScenarioNet Annual Energy Consumption (kWh)kWh/m2Savings (%)
S15Baseline Setpoint MP-FP CBF10%76,287104.63-
S16CBF10% nonHysterisis External Wall + Roof 71,71498.369.0
S17CBF10% Hysterisis External Wall + Roof 67,73392.9016.8
S18Baseline Setpoint MP-FP CBF20%75,292103.26-
S19CBF20% nonHysterisis External Wall + Roof 67,68992.8410.1
S20CBF20% Hysterisis External Wall + Roof 66,21690.8212.1
S21Baseline Setpoint MP-FP CBF30%79,884109.56-
S22CBF30% nonHysterisis External Wall + Roof 75,848104.035.1
S23CBF30% Hysterisis External Wall + Roof 70,97297.3411.2
S24Baseline Setpoint MP-FP GBF10%72,79599.84-
S25GBF10% nonHysterisis External Wall + Roof 69,68395.574.3
S26GBF10% Hysterisis External Wall + Roof 64,03887.8312.0
S27Baseline Setpoint MP-FP GBF15%85,451117.20-
S28GBF15% nonHysterisis External Wall + Roof 82,562113.243.4
S29GBF15% Hysterisis External Wall + Roof 75,873104.0611.2
S30Baseline Setpoint MP-FP GBF20%86,429118.54-
S31GBF20% nonHysterisis External Wall + Roof 83,679114.773.2
S32GBF20% Hysterisis External Wall + Roof 76,545104.9811.4
S33Baseline Setpoint MP-FP GBF30%91,185125.06-
S34GBF30% nonHysterisis External Wall + Roof 88,246121.033.2
S35GBF30% Hysterisis External Wall + Roof 80,870110.9211.3
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Lygerakis, F.; Gioti, C.; Gournis, D.; Yentekakis, I.V.; Karakassides, M.; Kolokotsa, D. Enhancing Building Energy Efficiency with Innovative Paraffin-Based Phase Change Materials. Energies 2024, 17, 4155. https://doi.org/10.3390/en17164155

AMA Style

Lygerakis F, Gioti C, Gournis D, Yentekakis IV, Karakassides M, Kolokotsa D. Enhancing Building Energy Efficiency with Innovative Paraffin-Based Phase Change Materials. Energies. 2024; 17(16):4155. https://doi.org/10.3390/en17164155

Chicago/Turabian Style

Lygerakis, Filippos, Christina Gioti, Dimitris Gournis, Ioannis. V. Yentekakis, Michalis Karakassides, and Denia Kolokotsa. 2024. "Enhancing Building Energy Efficiency with Innovative Paraffin-Based Phase Change Materials" Energies 17, no. 16: 4155. https://doi.org/10.3390/en17164155

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop