Factors Affecting Energy Performance of Large-Scale Office Buildings: Analysis of Benchmarking Data from New York City and Chicago

Abstract

Buildings in high-income, industrialized cities are responsible for more than 50% of global energy consumption; consequently, many developed cities have legislated energy benchmarking and disclosure policies to understand their buildings’ energy-use dynamics better. By utilizing these benchmarking data and additional information taken from 3D models, this paper presents a comprehensive analysis of large-scale office buildings located in New York and Chicago, with respect to their energy use intensity (EUI). To identify the primary factors affecting the EUI, Spearman’s correlation analysis and multiple variate regression tests were performed on office buildings over 500,000 ft2 (46,452 m2) gross floor area. The results showed the number of floors, construction year, window-to-wall ratio (WWR), and source-to-site ratio statistically significant, while morphological factors such as the relative compactness and surface-to-volume ratio showed limited relation to EUI. In New York City, the smallest EUI median was found in the buildings with 20 to 30 floors, and in Chicago, the buildings with 60 floors or more. A higher source-to-site ratio generally had lower overall EUI in both cities. Despite the high correlation, different kinds of dependency were found for window-to-wall ratio (WWR) and construction year between NYC and Chicago. These findings highlight the relative role that each building’s characteristics play concerning the EUI, depending on the particular building’s typology, scale, and the urban context.

Shaping resilient buildings and cities: Climate change impacts, metrics, and strategies for mitigation and adaptation

“…• Energy Performance Metrics: Metrics such as Energy Use Intensity (EUI) and Energy Star ratings provide in-sights into a building's energy efficiency and its performance relative to similar structures [134] .…”

Comparative Analysis of Energy Consumption between Green Building Certified and Non-Certified Buildings in Korea

“…In recent years, researchers have been able to perform benchmark studies by obtaining data on buildings' actual energy usage from a few databases around the world. Won et al [5] presented a comprehensive analysis of large-scale office buildings located in New York and Chicago, with respect to their energy use intensity (EUI). In New York City, the smallest EUI median was found in the buildings with 20 to 30 floors, and in Chicago, the buildings with 60 floors or more.…”

Query-adaptive training data recommendation for cross-building predictive modeling

“…This phenomenon is referred to as negative transfer [86]. More precisely, within the context of building energy modeling, energy consumption depends greatly on several contextual factors, such as the building's use type (residential, industrial, or commercial), shape, size and age [89]. Combining energy data from very disparate source buildings is consequently counterproductive and will adversely impact the target performance in the target building.…”