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Establishment of Key Performance Indicators for Green Building Operations Monitoring—An Application to China Case Study

Author

Listed:
  • Jinqiu Li

    (School of Civil Engineering, Chongqing University, Chongqing 400030, China
    Beijing Tsinghua Tongheng Urban Planning & Design Institute, Beijing 100085, China)

  • Qingqin Wang

    (School of Civil Engineering, Chongqing University, Chongqing 400030, China
    China Academy of Building Research, Beijing 100013, China)

  • Hao Zhou

    (School of Architecture, Tsinghua University, Beijing 100084, China
    Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing 100084, China)

Abstract

Released green building evaluation standards for operation stage include a huge number of indicators, which are very comprehensive and systematic. However, the indicators of these standards are very complicated and a large amount of time and manpower are consumed for their evaluation. To evaluate the operational performance of green buildings more practically and efficiently, some studies collect the operational data for part of the indicators (mainly focusing on building energy performance, indoor environmental quality or occupant satisfaction), which are too rough to evaluate the performance of green building. This paper proposed a total of 27 key performance indicators (KPIs) for green building operations monitoring. The number of proposed indicators is much fewer than the evaluation standards, as well as suitable for long-term monitoring, which can dramatically reduce evaluation time and cost. On the other hand, the indicators involving Outdoor environmental quality, Indoor environmental quality, HVAC system, P&D system, Renewable energy system, Total resource consumption and User behavior, which are more comprehensive and systematic than the conventional monitoring studies for operational performance of green building. Firstly, an indicators library for operations monitoring of green building was established based on relevant standards and literature review in this field. Secondly, “SMART” principle and Delphi method were adopted to select the key performance indicators for green building operations monitoring. Different background experts regarding green building industry were chosen to screen the most relevant, accessible and measurable indicators. Subsequently, two projects in China were selected for case study of key performance indicators proposed in this paper for green building operations monitoring to validate the feasibility and advancement.

Suggested Citation

  • Jinqiu Li & Qingqin Wang & Hao Zhou, 2020. "Establishment of Key Performance Indicators for Green Building Operations Monitoring—An Application to China Case Study," Energies, MDPI, vol. 13(4), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:976-:d:323616
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    References listed on IDEAS

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    Cited by:

    1. Shengda Song & Jialing Che & Xiaohan Yuan, 2022. "Disaster Prevention and Mitigation Index Assessment of Green Buildings Based on the Fuzzy Analytic Hierarchy Process," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    2. Armin Razmjoo & Meysam Majidi Nezhad & Lisa Gakenia Kaigutha & Mousa Marzband & Seyedali Mirjalili & Mehdi Pazhoohesh & Saim Memon & Mehdi A. Ehyaei & Giuseppe Piras, 2021. "Investigating Smart City Development Based on Green Buildings, Electrical Vehicles and Feasible Indicators," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    3. Brint, Andrew & Genovese, Andrea & Piccolo, Carmela & Taboada-Perez, Gerardo J., 2021. "Reducing data requirements when selecting key performance indicators for supply chain management: The case of a multinational automotive component manufacturer," International Journal of Production Economics, Elsevier, vol. 233(C).

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