A Novel Statistical Method to Improve Energy Efficiency of Housing Stock in the Eastern Mediterranean Climate

This paper presents a novel methodology that was developed according to the in-situ measurements of the building-fabric thermal performance to assess as-built energy models of case-study residential tower blocks. It seeks to corroborate the empirical model by integrating the findings from the questionnaire survey and energy-assessment analyses to feed building-energy simulation (BES) procedures. It discusses the uncertain input parameters for the BES that quantitative modelling adopted for the energy assessment of dynamic thermal simulation findings in conjunction with occupants' socio-demographic characteristics, occupancy patterns, household size and environmental conditions recorded. The present study revealed that weekday cooling consumption patterns were significantly and strongly related to the weekend heating consumption patterns (χ² = 54,590, p < 0,001, Cramer's V = 0,522). Specifically, longer duration of heating consumption was related to longer duration of cooling consumption. The developed framework provides a scientific background that can be included in the BES platform to serve as a set of guidelines for the European Performance of Buildings Directive scientific committee for energy policy design and retrofitting strategies.