Metabolic Scaling Analysis of Building Energy Efficiency: A Case Study of Massachusetts Institute of Technology

The building sector plays a critical role in global energy consumption and carbon emissions, accounting for 21% of global GHG emissions (12 GtCO₂-eq) and 31% of global final energy demand (128.8 EJ) in 2019 (Cabeza et al. 2022). This reality underscores the urgent need to enhance energy efficiency within the sector. This research applies ecological metabolic scaling principles to building energy analysis, utilizing the Massachusetts Institute of Technology (MIT) campus as a case study. Analogous to biological systems, where an animal’s metabolic rate scales to 3/4 power of its mass, our findings indicate that larger buildings, similar to larger organisms, are inherently more energy efficient. Furthermore, an analysis of overall energy consumption at MIT from 2009 to 2020 reveals a steady decline, though not proportionally, as the scaling exponent fluctuated with a decreasing trend (<3/4), indicating improved efficiency in larger buildings. However, the COVID-19 pandemic in 2020 acted as a major shock, disrupting this trend. This disruption was likely driven by operational and behavioral changes, including reduced occupancy, increased remote work, and adjustments to ventilation and heating systems to ensure health and safety. These shifts highlighted the system’s tendency to return to the baseline scaling exponent of 3/4, demonstrating regression to the mean and ultimately pushing efficiency back to its prior baseline level of 25%. Additionally, the study includes case analyses of specific buildings on the MIT campus to provide deeper insight into comparative energy performance. While several guidelines for energy systems have been proposed, certain limitations remain. Future research should focus on expanding the dataset to help validate the applicability of these findings to other contexts while also accounting for variations in building types. Ultimately, this study aims to facilitate the development of more effective policies and innovations in building energy management.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Civil and Environmental Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2025

Author dc:creator

• Hsu, Yu-Hsuan

Advisor dc:contributor.advisor

• Saavedra, Serguei

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/162426

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/162426