Jordan Journal of Civil Engineering

Statistical Analysis of Operational Carbon for Different Building Types in the UAE


Fatma Hosny; Samer Barakat; Saleh Abu Dabous;


The construction industry is a major greenhouse gas emitter, notably through CO2 emissions during the life cycle of buildings. This study focuses on the UAE's buildings, employing statistical methods to assess operational carbon emissions and overcome the challenges of conventional assessment's time demands and data variability. Operational emissions were calculated using energy consumption data from UAE buildings and analyzed via statistical tools such as Excel, MATLAB, and SPSS. Techniques like Linear Regression, Correlation Analysis, and the development of Probability Mass and Cumulative Distribution Functions identified key emission patterns. Results indicate that in residential and commercial buildings, HVAC adjustments provide the largest emissions reduction, while in educational buildings, window upgrades are most effective. The analysis demonstrates that residential and commercial buildings have similar emissions reduction potential, primarily through HVAC and then wall and window upgrades. Educational buildings, however, show different patterns, with the most significant impact from windows, then HVAC and walls. This research supports the creation of focused emission reduction strategies tailored to different building types, underscoring the necessity for customized approaches to lower the construction sector's environmental impact.


Operational Carbon, Buildings, Linear Regression, Correlation Analysis, Probability Mass Function, Cumulative distribution functions