Cloud computing platform for real-time measurement and verification of energy performance

Ming-Tsun Ke, Chia-Hung Yeh and Cheng-Jie Su

Applied Energy, 2017, vol. 188, issue C, 497-507

Abstract: Nations worldwide are vigorously promoting policies to improve energy efficiency. The use of measurement and verification (M&V) procedures to quantify energy performance is an essential topic in this field. Currently, energy performance M&V is accomplished via a combination of short-term on-site measurements and engineering calculations. This requires extensive amounts of time and labor and can result in a discrepancy between actual energy savings and calculated results. In addition, the M&V period typically lasts for periods as long as several months or up to a year, the failure to immediately detect abnormal energy performance not only decreases energy performance, results in the inability to make timely correction, and misses the best opportunity to adjust or repair equipment and systems.

Keywords: Real-time energy performance; Measurement and verification; Cloud computing; Particle swarm optimization (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (9)

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DOI: 10.1016/j.apenergy.2016.12.034

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