Energy Use Intensity Issues in Building Design Within the UAE University: A Principal Component Analysis of Design Competencies Gap and Challenges

The United Arab Emirates (UAE) faces a significant challenge in the form rapid urbanization coupled with cooling systems consumption of up to 60% of the nation’s total energy owing to extreme climatic conditions and climate change. The UAE’s Architecture, Engineering, and Construction (AEC) industry must have a performance metrics and frameworks to manage significant energy consumption challenges and be an active part of the UAE’s ambitious target of 2030 nearly Zero Energy Buildings (nZEBs). At present, the UAE’s AEC industry relies on “Reference Building Method” (Performance Method) to compares their proposed building to a theoretical “Reference Building” (a baseline version of itself that comply with the codes minimum requirements) to judge building energy performance, which lacks the precision needed for the region's extreme climate. The study deployed multivariate Principal Component Statistical Analysis (PCA) surveys to evaluate the 12 critical Energy Use Intensity (EUI) attributes for UAE University’s building energy performance design analysis. The PCA maps the mental model of the emerging UAE AEC workforce to decide their actual EUI-design competencies. To improve the study’s interpretability and make the factor loadings more distinct, the Rotated Component Matrix (or Varimax) rotation methods were used, and the 12 EUI attributes were categorized into two distinct clusters of competence for building design: Environmental Factors (sustainability) and Architectural Elements (physics). The PCA revealed three critical flaws: first, the low communality score (0.44) for Smart Control proves the emerging UAE AEC workforce (comprising 94.2% building design students) views building automation technology as an additive 'future opportunity'; second, there is an attribute category error where Energy Efficiency is regarded as physical architectural components rather than as part of the “efficient system performance”; and, third, there is a severe siloing effect within the emerging workforce, where renewable energy integration and smart controls are treated as isolated environmental add-ons rather than being integrated with fundamental physical building operations. The researchers recommend for curricular reform to UAEU design programs, technical integration of Smart Building Automation IoT training with HVAC management, redefining EUI variables to bridge the current design competency gap to shift focus from dynamic to real-world building design, operation, and maintenance competencies and reach the 2030 nZEB targets.

Energy Use Intensity (EUI); Principal Component Analysis (PCA)

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