Paragraphs Environmental Design

Construction Period and Office Building Energy Use: A Comparative Analysis of Benchmarking Records

Professor Emeritus, Department of Architecture, Universitas Indonesia

*Correspondence: emirhadisug42@gmail.com

View / Download PDF

Abstract

Construction period is frequently treated as a practical indicator of office building energy performance because it records the historical conditions under which envelopes, services, and regulatory requirements were established. Yet measured benchmarking records do not consistently rank newer offices above older ones, and apparently conflicting findings often concern different fuels, populations, and analytical questions. This article develops a critical integrative comparison of research and public benchmarking documentation published before 1 May 2023. It examines office evidence from New York City, England and Wales, and Seoul, alongside United States national survey and ENERGY STAR documentation. The comparison distinguishes chronological age from construction cohort, operational demand from technical efficiency, and observed associations from intervention effects. Published studies reveal older-stock advantages in some settings, divergent electricity and thermal trends in others, and weak construction-year relationships elsewhere. These patterns cannot be combined into a universal age coefficient. The article proposes a framework that separates stock energy burden, conditional peer performance, and causal evaluation, with explicit attention to metering boundaries, floor-area definitions, survey weights, refurbishment, occupancy, and reporting selection. Construction period emerges as a useful historical descriptor and diagnostic starting point whose interpretation depends on the outcome and comparison population. Its strongest policy use is to organize investigation and identify heterogeneous retrofit opportunities; it is insufficient by itself to rank individual offices, evaluate building codes, or justify replacement of existing stock.

Keywords: office buildings; construction period; energy benchmarking; operational energy; construction cohort; building performance

Citation

Suganda E. (2024). Construction Period and Office Building Energy Use: A Comparative Analysis of Benchmarking Records. Paragraphs Environmental Design, 2(2), 26–41. DOI: 10.5281/zenodo.24157888

References

  1. Ahn, K. U., Shin, H. S., Park, C. S., & Kim, K. W. (2017). Big-data analysis on energy consumption of office buildings in Seoul, Korea. In Proceedings of Building Simulation 2017: 15th Conference of IBPSA (pp. 1540–1547). International Building Performance Simulation Association. https://doi.org/10.26868/25222708.2017.411
  2. Andrews, C. J., & Krogmann, U. (2009). Technology diffusion and energy intensity in US commercial buildings. Energy Policy, 37(2), 541–553. https://doi.org/10.1016/j.enpol.2008.09.085
  3. Armitage, P., Godoy-Shimizu, D., Steemers, K., & Chenvidyakarn, T. (2015). Using Display Energy Certificates to quantify public sector office energy consumption. Building Research & Information, 43(6), 691–709. https://doi.org/10.1080/09613218.2014.975416
  4. Chung, W. (2011). Review of building energy-use performance benchmarking methodologies. Applied Energy, 88(5), 1470–1479. https://doi.org/10.1016/j.apenergy.2010.11.022
  5. Godoy-Shimizu, D., Steadman, P., Hamilton, I., Donn, M., Evans, S., Moreno, G., & Shayesteh, H. (2018). Energy use and height in office buildings. Building Research & Information, 46(8), 845–863. https://doi.org/10.1080/09613218.2018.1479927
  6. Hernán, M. A., Hsu, J., & Healy, B. (2019). A second chance to get causal inference right: A classification of data science tasks. CHANCE, 32(1), 42–49. https://doi.org/10.1080/09332480.2019.1579578
  7. Hsu, D. (2014). Improving energy benchmarking with self-reported data. Building Research & Information, 42(5), 641–656. https://doi.org/10.1080/09613218.2014.887612
  8. Hsu, D. (2015). Identifying key variables and interactions in statistical models of building energy consumption using regularization. Energy, 83, 144–155. https://doi.org/10.1016/j.energy.2015.02.008
  9. Kontokosta, C. E. (2015). A market-specific methodology for a commercial building energy performance index. The Journal of Real Estate Finance and Economics, 51(2), 288–316. https://doi.org/10.1007/s11146-014-9481-0
  10. Kontokosta, C. E., & Tull, C. (2017). A data-driven predictive model of city-scale energy use in buildings. Applied Energy, 197, 303–317. https://doi.org/10.1016/j.apenergy.2017.04.005
  11. Masoso, O. T., & Grobler, L. J. (2010). The dark side of occupants’ behaviour on building energy use. Energy and Buildings, 42(2), 173–177. https://doi.org/10.1016/j.enbuild.2009.08.009
  12. Menezes, A. C., Cripps, A., Bouchlaghem, D., & Buswell, R. (2012). Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap. Applied Energy, 97, 355–364. https://doi.org/10.1016/j.apenergy.2011.11.075
  13. Mills, E. (2011). Building commissioning: A golden opportunity for reducing energy costs and greenhouse gas emissions in the United States. Energy Efficiency, 4(2), 145–173. https://doi.org/10.1007/s12053-011-9116-8
  14. Newsham, G. R., Mancini, S., & Birt, B. J. (2009). Do LEED-certified buildings save energy? Yes, but… Energy and Buildings, 41(8), 897–905. https://doi.org/10.1016/j.enbuild.2009.03.014
  15. Scofield, J. H. (2009). Do LEED-certified buildings save energy? Not really… Energy and Buildings, 41(12), 1386–1390. https://doi.org/10.1016/j.enbuild.2009.08.006
  16. Urban Green Council. (2016, August). New York City’s energy and water use 2013 report. https://www.nyc.gov/html/gbee/downloads/pdf/nyc_energy_water_use_2013_report_final.pdf
  17. U.S. Energy Information Administration. (2022, December). Table C4. Sum of major fuels consumption and expenditure gross energy intensities, 2018. https://www.eia.gov/consumption/commercial/data/2018/ce/pdf/c4.pdf
  18. U.S. Energy Information Administration. (2023, January). Commercial Buildings Energy Consumption Survey (CBECS): User’s guide to the public use microdata file. https://www.eia.gov/consumption/commercial/data/2018/pdf/Users%20Guide%20to%20the%202018%20CBECS%20Public%20Use%20Microdata%20File.pdf
  19. U.S. Environmental Protection Agency. (2019a, July). Analysis and key findings from EPA’s review of the ENERGY STAR model for U.S. office properties [Technical reference]. https://www.energystar.gov/sites/default/files/tools/Office-Analysis-KeyFindings_Final508.pdf
  20. U.S. Environmental Protection Agency. (2019b, July). ENERGY STAR score for offices in the United States [Technical reference]. https://www.energystar.gov/sites/default/files/tools/Office_August_2019_508.pdf
  21. U.S. Environmental Protection Agency. (2020, August). Climate and weather [Technical reference]. https://www.energystar.gov/sites/default/files/tools/Climate_and_Weather_2020_508.pdf