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Mathematical description for the measurement and verification of energy efficiency improvement

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  • Xia, Xiaohua
  • Zhang, Jiangfeng

Abstract

Insufficient energy supply is a problem faced by many countries, and energy efficiency improvement is identified as the quickest and most effective solution to this problem. Many energy efficiency projects are therefore initiated to reach various energy saving targets. These energy saving targets need to be measured and verified, and in many countries such a measurement and verification (M&V) activity is guided by the International Performance Measurement and Verification Protocol (IPMVP). However, M&V is widely regarded as an inaccurate science: an engineering practice relying heavily on professional judgement. This paper presents a mathematical description of the energy efficiency M&V problem and thus casts into a scientific framework the basic M&V concepts, propositions, techniques and methodologies. For this purpose, a general description of energy system modeling is provided to facilitate the discussion, strict mathematical definitions for baseline and baseline adjustment are given, and the M&V plan development is formulated as an M&V modeling problem. An optimal M&V plan is therefore obtained through solving a calculus of variation, or equivalently, an optimal control problem. This approach provides a fruitful source of research problems by which optimal M&V plans under various practical constraints can be determined. With the aid of linear control system models, this mathematical description also provides sufficient conditions for M&V practitioners to determine which one of the four M&V options in IPMVP should be used in a practical M&V project.

Suggested Citation

  • Xia, Xiaohua & Zhang, Jiangfeng, 2013. "Mathematical description for the measurement and verification of energy efficiency improvement," Applied Energy, Elsevier, vol. 111(C), pages 247-256.
  • Handle: RePEc:eee:appene:v:111:y:2013:i:c:p:247-256
    DOI: 10.1016/j.apenergy.2013.04.063
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    References listed on IDEAS

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    9. Arun Shankar, Vishnu Kalaiselvan & Umashankar, Subramaniam & Paramasivam, Shanmugam & Hanigovszki, Norbert, 2016. "A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system," Applied Energy, Elsevier, vol. 181(C), pages 495-513.
    10. Carstens, Herman & Xia, Xiaohua & Ye, Xianming, 2014. "Improvements to longitudinal Clean Development Mechanism sampling designs for lighting retrofit projects," Applied Energy, Elsevier, vol. 126(C), pages 256-265.
    11. Angeliki Mavrigiannaki & Kostas Gobakis & Dionysia Kolokotsa & Kostas Kalaitzakis & Anna Laura Pisello & Cristina Piselli & Rajat Gupta & Matt Gregg & Marina Laskari & Maria Saliari & Margarita-Niki A, 2020. "Measurement and Verification of Zero Energy Settlements: Lessons Learned from Four Pilot Cases in Europe," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    12. Ke, Ming-Tsun & Yeh, Chia-Hung & Su, Cheng-Jie, 2017. "Cloud computing platform for real-time measurement and verification of energy performance," Applied Energy, Elsevier, vol. 188(C), pages 497-507.
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    14. Ye, Xianming & Xia, Xiaohua & Zhang, Jiangfeng, 2014. "Optimal sampling plan for clean development mechanism lighting projects with lamp population decay," Applied Energy, Elsevier, vol. 136(C), pages 1184-1192.
    15. Albino, Vito & Ardito, Lorenzo & Dangelico, Rosa Maria & Messeni Petruzzelli, Antonio, 2014. "Understanding the development trends of low-carbon energy technologies: A patent analysis," Applied Energy, Elsevier, vol. 135(C), pages 836-854.
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