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Key Performance Indicators for Evaluation of Commercial Building Retrofits: Shortlisting via an Industry Survey

Author

Listed:
  • Man Ying (Annie) Ho

    (Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China)

  • Joseph H. K. Lai

    (Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China)

  • Huiying (Cynthia) Hou

    (Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China)

  • Dadi Zhang

    (Faculty of Architecture and the Built Environment, Delft University of Technology, 2628 BL Delft, The Netherlands)

Abstract

Key performance indicators (KPIs) are quintessentially useful for performance evaluation, but a set of pragmatic KPIs for holistic evaluation of retrofits for commercial buildings is hitherto unavailable. This study was conducted to address this issue. Built upon the findings of a systematic literature review and a focus group meeting in the earlier stages of the study, a questionnaire survey covering 19 KPIs for environmental (embracing energy), economic, health and safety, and users’ perspective evaluations of building retrofits was developed. Data of the survey, collected from facility management (FM) practitioners in Hong Kong, underwent a series of statistical analyses, including Kruskal–Wallis H test, Mann–Whitney U test, and Spearman Rank Correlation. The analysis results revealed the levels of importance of KPIs perceived by different groups of FM practitioners and the rankings of KPIs. Based upon these results, eight KPIs were shortlisted, which are energy savings, payback period, investment cost, actual-to-target ratio of the number of statutory orders removed, actual-to-target ratio of the number of accidents reduced, target indoor air temperature, target indoor air quality (IAQ) class, and target workplane illuminance. These KPIs serve as keystones for further development of an analytic evaluation scheme for commercial building retrofit performance assessment. The methodology of this study can also serve as a reference for similar KPI studies in other research domains.

Suggested Citation

  • Man Ying (Annie) Ho & Joseph H. K. Lai & Huiying (Cynthia) Hou & Dadi Zhang, 2021. "Key Performance Indicators for Evaluation of Commercial Building Retrofits: Shortlisting via an Industry Survey," Energies, MDPI, vol. 14(21), pages 1-30, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7327-:d:672117
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    References listed on IDEAS

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    1. Nikolaidis, Yiannis & Pilavachi, Petros A. & Chletsis, Alexandros, 2009. "Economic evaluation of energy saving measures in a common type of Greek building," Applied Energy, Elsevier, vol. 86(12), pages 2550-2559, December.
    2. Andrew J. Collins & Patrick Hester & Barry Ezell & John Horst, 2016. "An improvement selection methodology for key performance indicators," Environment Systems and Decisions, Springer, vol. 36(2), pages 196-208, June.
    3. Petersen, Steffen & Svendsen, Svend, 2012. "Method for component-based economical optimisation for use in design of new low-energy buildings," Renewable Energy, Elsevier, vol. 38(1), pages 173-180.
    4. Remer, Donald S. & Nieto, Armando P., 1995. "A compendium and comparison of 25 project evaluation techniques. Part 2: Ratio, payback, and accounting methods," International Journal of Production Economics, Elsevier, vol. 42(2), pages 101-129, December.
    5. Seyedzadeh, Saleh & Pour Rahimian, Farzad & Oliver, Stephen & Rodriguez, Sergio & Glesk, Ivan, 2020. "Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making," Applied Energy, Elsevier, vol. 279(C).
    6. Remer, Donald S. & Nieto, Armando P., 1995. "A compendium and comparison of 25 project evaluation techniques. Part 1: Net present value and rate of return methods," International Journal of Production Economics, Elsevier, vol. 42(1), pages 79-96, November.
    7. Walter, Travis & Sohn, Michael D., 2016. "A regression-based approach to estimating retrofit savings using the Building Performance Database," Applied Energy, Elsevier, vol. 179(C), pages 996-1005.
    8. Joseph Hung Kit Lai, 2010. "Operation and maintenance budgeting for commercial buildings in Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 28(4), pages 415-427.
    9. Gourlis, Georgios & Kovacic, Iva, 2016. "A study on building performance analysis for energy retrofit of existing industrial facilities," Applied Energy, Elsevier, vol. 184(C), pages 1389-1399.
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