Abstract

As one of the top contributors to global environmental impact, the building and construction sector has significant potential to mitigate resource consumption both during and after construction. The Leadership in Energy and Environmental Design (LEED) certification has formalized this mitigation process, but it remains unclear whether the operational performance of LEED-certified buildings matches their theoretical design in reducing environmental impacts and advancing sustainable development in the built environment. This study contributes to the growing body of knowledge on real-world building performance by evaluating the operational energy use of LEED-certified buildings in Philadelphia relative to their immediate urban neighbors. The methodology includes identifying buildings from the Philadelphia Large Building Energy Benchmarking dataset, along with U.S. Green Building Council (USGBC) certification records, and analyzing LEED-certified buildings in comparison with their functionally similar non-LEED buildings in proximity. The research employs a multi-dimensional analytical framework grounded in the Energy and Atmosphere (EA) credit structure of LEED. In raw city-wide terms, certified buildings used far more energy per floor area than non-certified buildings (79.4 vs. 22.7 kWh/sq ft), but this gap largely reflects differences in building function, size, and location. After structural clustering and geographically constrained matching, certified buildings still showed a higher mean energy use intensity, by roughly 56 to 59 kWh/sq ft across all neighborhood sizes (k = 3, 5, 10). However, none of these differences was statistically significant at the 95% level. This apparent gap was not uniform: it was concentrated in large, service-intensive types such as healthcare and public/cultural facilities, rather than observed across all building categories. The results therefore provide no evidence that certified buildings outperform comparable non-certified peers in operational energy use, rather than positive evidence that they underperform. By utilizing large-scale benchmarking data and comparative analytical methods, this work enhances understanding of the effectiveness of LEED-related energy interventions and supports evidence-based decision-making for policymakers, designers, contractors, and building owners seeking to improve energy performance in existing buildings.

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