Impact of bio-based phase change materials on the thermal inertia of panels made from medium-density fiberboard (MDF) residues
Source abstract
Abstract
Phase change materials (PCMs) are characterized by their ability to absorb, store, and release thermal energy. These characteristics make them highly attractive for enhancing the thermal mass of various construction materials, including wood and, specifically, wood-based panels. This study evaluates the thermal properties of fiberboard panels manufactured from medium density fiberboard residues and PCMs. Two types of adhesives, two types of PCMs, and three percentages of PCM content were considered for a total of 12 different combinations. The panels were tested to determine their specific heat, total heat storage capacity, thermal conductivity, and reaction to fire. Additionally, the panels’ physical and mechanical properties were analyzed. The results indicate that panels with PCM additions exhibited specific heat values reaching 7300 J/kg K, representing an increase of over 400 % relative to the 1453.8 J/kg K measured in the control panels. The total heat storage test demonstrated that adding PCMs increased the heat storage capacity of the panels by up to 76 %. The highest latent heat of fusion obtained was 136 J/g with a microencapsulated phase change material (MPCM) content of 18 %. Incorporating MPCM increased the panels’ thermal conductivity by 9 %. As the panels’ PCM content increased, their mechanical properties decreased. However, it was still possible to meet the minimum values required by standards for use in various applications. This study demonstrates the potential of a new fiberboard made from medium density fiberboard residues and phase change materials (PCMs) for thermal energy storage, enhancing thermal inertia.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Natural Fiber Reinforced Composites · Hygrothermal properties of building materials · Phase Change Materials Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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