Scaling in urban building energy use and its influencing factors
Bibliographic Data
| ID | 19469578 |
|---|---|
| Authors | Chunyan Wang (0000-0001-5650-5399, School of Environment Tsinghua University Beijing China), Hanying Jiang (0000-0003-1626-7415, School of Environment Tsinghua University Beijing China), Hao Wu (0000-0001-5323-516X, Tsinghua University), Wu Hao (0009-0009-9503-5866, School of Environment Tsinghua University Beijing China), Yi Liu (0000-0001-7733-3290, School of Environment Tsinghua University Beijing China, corresponding author), Siyue Guo (Institute for Energy, Environment & Economy Tsinghua University Beijing China), Ming Xu (0000-0003-2151-2980, School for Environment and Sustainability University of Michigan Ann Arbor Michigan USA) |
| Year | 2023 |
| Volume | 27 |
| Issue | 4 |
| Pages | 1076-1088 |
| Publication date | 2023-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Industrial Ecology (JOURNAL) |
| Journal identifiers | ISSN: 1088-1980 • E-ISSN: 1530-9290 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1111/jiec.13395 |
| OpenAlex | W4376647080 |
| Language | EN |
| References cited | 33 |
Several studies have reported scaling relationships for energy consumption with respect to city size and other indicators. However, such scaling relationships have rarely been reported at the suburban level. This study explored the scaling relationships between energy use (EU) and building size (gross floor area [GFA]) at the building level in 16 urban regions in the United States from 2011 to 2019. We found that the scaling exponents of most of the examined regions changed from either super‐linear or sub‐linear to linear (β = 1) over the years. The scaling exponents of some cities (e.g., New York City) fluctuated around 1. These scaling exponents are negatively correlated with regional climate. This study reports that the scaling relationships between energy consumption and GFA at the building level in heterogeneous cities are evolving toward linear scaling. This study also found that different building types and building energy structures significantly impact building energy consumption. Hotels in New York City had the highest scaling exponent (β = 1.02), and strong correlations were observed between the scaling exponents and the share of electricity in building EU. These insights reveal the common nature of the relationships between building EU and GFA and the intersections between scaling exponents and building attributes. Our study highlights the importance of energy efficiency management in hotels and electricity‐dominated buildings
Electricity · Energy consumption · Exponent · Geometry · Physics · Scaling · Sociology · Building Energy and Comfort Optimization · Environmental Science · Mathematics · Noise Effects and Management · Sustainable Building Design and Assessment · Ecology
| Citation velocity | historical |
|---|---|
| Highly cited | No |