Numerical dataset of slab-on-ground floor for buildings in warm climate from a multi-criteria analysis

• Main Authors: Cristina Baglivo, Paolo Maria Congedo, Vincenzo Sassi
• Format: Article
• Language: English
• Published: Elsevier 2018-10-01
• Series: Data in Brief
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340918308540

This data article relates to a multi-criteria process applied to slab-on-ground floor for buildings in warm climate. The input data of the analysis are the building materials with their thermal properties, sustainability characteristics and supply and installation costs.The multi-criteria analysis has been performed with the software modeFRONTIER. The computational procedures in accordance with the UNI 13786 (Thermal performance of building components, Dynamic Thermal Characteristics, Calculation Methods) has been carried out in MatLab language. The methodology is presented in the articles “High performance precast external walls for cold climate by a multi-criteria methodology” (Baglivo and Congedo, 2016) [1], “Design method of high performance precast external walls for warm climate by multi-objective optimization analysis” (Baglivo and Congedo, 2015) [2], “Multi-Objective Optimization Analysis For High Efficiency External Walls Of Zero Energy Buildings (Zeb) In The Mediterranean Climate” (Baglivo et al., 2014) [3] and “Multi-criteria optimization analysis of external walls according to ITACA protocol for zero energy buildings in the Mediterranean climate” (Baglivo et al., 2014) [4], for the identification of high efficiency external walls.The set of possible optimal configurations identified by the source of Pareto have been collected into different categories of slab-on-ground floor, focusing on slab-on-ground floor with concrete, slab-on-ground floor with gravel and slab-on-ground floor with crawl space. The dataset provides a set of high efficiency solutions through the combination of commercial and eco-friendly building materials.