Identifying the Most Efficient Natural Fibre for Common Commercial Building Insulation Materials with an Integrated PSI, MEREC, LOPCOW and MCRAT Model

• Published in: Polymers Vol. 15; no. 6; p. 1500
• Main Authors: Ulutaş, Alptekin, Balo, Figen, Topal, Ayşe
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 17.03.2023; MDPI
• Subjects: Alternatives; Biodegradable materials; Building envelopes; Carbon; Climate change; Commercial buildings; Composite materials; Construction; Decision making; Dwellings; Emissions; Energy conservation; Energy consumption; Energy costs; Energy efficiency; Environmental effects; Environmental impact; Green buildings; Heat; Insulation; insulation material selection; LOPCOW; Materials selection; MCDM; MCRAT; MEREC; Multiple criterion; Natural resources; Protection and preservation; PSI; Rankings; Renewable resources; Roofing; Synthetic products; Trends; United Kingdom; United Kingdom; LOPCOW; MCRAT; MCDM; MEREC; insulation material selection; PSI
• ISSN: 2073-4360; 2073-4360
• DOI: 10.3390/polym15061500

Building insulation is the most respected among the compatible and effective energy conservation technologies available today, as it also reduces yearly energy costs and negative environmental effects. A building envelope is made up of various insulation materials that are important in determining a building's thermal performance. Proper insulation material selection concludes in less energy requisition for operation. The purpose of this research is to supply information about natural fibre insulating materials used in construction insulation to maintain energy efficiency, as well as to recommend the most efficient natural fibre insulation material. As in most decision-making problems, several criteria and alternatives are involved in insulation material selection, too. Therefore, we used a novel integrated multi criteria decision making (MCDM) model including the preference selection index (PSI), method based on the removal effects of criteria (MEREC), logarithmic percentage change-driven objective weighting (LOPCOW), and multiple criteria ranking by alternative trace (MCRAT) methods to deal with the complexity of numerous criteria and alternatives. The contribution of this study is that a new hybrid MCDM method is developed. Additionally, the number of studies using the MCRAT method is very limited in the literature; therefore, this study will provide more insights into and results of this method to the literature.