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Assessing energy efficiency and energy conservation potential among commercial buildings: A statistical approach

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  • Monts, J.Kenneth
  • Blissett, Marlan

Abstract

Energy conservation in the commercial sector is impeded by the lack of simple yet reliable measures of building energy efficiency. A simple Energy Utilization Index is preferable, but it lacks reliability if it remains unadjusted for significant sources of variation. Linear regression analysis represents a straightforward method for introducing necessary sophistication, but care must be exercised in model specification and sample selection. A model incorporating climate, occupancy patterns, HVAC design, and building type explains 42% of the EUI variance in a sample of Texas school and university buildings.

Suggested Citation

  • Monts, J.Kenneth & Blissett, Marlan, 1982. "Assessing energy efficiency and energy conservation potential among commercial buildings: A statistical approach," Energy, Elsevier, vol. 7(10), pages 861-869.
    • Handle: RePEc:eee:energy:v:7:y:1982:i:10:p:861-869
    DOI: 10.1016/0360-5442(82)90035-4
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    Cited by:

    1. Ahn, Jonghoon & Cho, Soolyeon & Chung, Dae Hun, 2016. "Development of a statistical analysis model to benchmark the energy use intensity of subway stations," Applied Energy, Elsevier, vol. 179(C), pages 488-496.
    2. Andrews, Abigail & Jain, Rishee K., 2022. "Beyond Energy Efficiency: A clustering approach to embed demand flexibility into building energy benchmarking," Applied Energy, Elsevier, vol. 327(C).
    3. Seong-Hwan Yoon & Cheol-Soo Park, 2017. "Objective Building Energy Performance Benchmarking Using Data Envelopment Analysis and Monte Carlo Sampling," Sustainability, MDPI, vol. 9(5), pages 1-12, May.
    4. Chung, William & Hui, Y.V. & Lam, Y. Miu, 2006. "Benchmarking the energy efficiency of commercial buildings," Applied Energy, Elsevier, vol. 83(1), pages 1-14, January.
    5. Yang, Le & Xia, Jianjun & Shen, Qi, 2016. "Establishing target-oriented energy consumption quotas for buildings," Utilities Policy, Elsevier, vol. 41(C), pages 57-66.
    6. Constantine Kontokosta, 2015. "A Market-Specific Methodology for a Commercial Building Energy Performance Index," The Journal of Real Estate Finance and Economics, Springer, vol. 51(2), pages 288-316, August.
    7. Kim, Sang-Chul & Shin, Hyun-Ik & Ahn, Jonghoon, 2020. "Energy performance analysis of airport terminal buildings by use of architectural, operational information and benchmark metrics," Journal of Air Transport Management, Elsevier, vol. 83(C).
    8. Jos L. T. Blank, 2021. "Sustainable Provision of School Buildings in The Netherlands: An Empirical Productivity Analysis of Local Government School Building Operations," Sustainability, MDPI, vol. 13(16), pages 1-11, August.
    9. Chung, William, 2011. "Review of building energy-use performance benchmarking methodologies," Applied Energy, Elsevier, vol. 88(5), pages 1470-1479, May.
    10. Roth, Jonathan & Rajagopal, Ram, 2018. "Benchmarking building energy efficiency using quantile regression," Energy, Elsevier, vol. 152(C), pages 866-876.

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