Improving HVAC performance through Koopman mode analysis of building data.

Number: pap. 3619

Author(s) : GEORGESCU M., MEZIC I.


In this work, an energy audit case study of a LEED silver university building is performed by decomposing building data into spatial-temporal modes known as Koopman modes. Koopman modes are influenced by heat loads, from internal and external sources, that a building is subject to, and analysis of these modes provides greater understanding of a building's thermal behavior. In the presented application of this framework, examples of energy waste are identified including faulty equipment operation, unnecessary equipment usage, and HVAC operating conditions requiring high energy to maintain. Through addressing the issues discovered, energy usage of the case study building is reduced by 13% with no side effects seen in building comfort. Koopman mode analysis has previously been used to study the thermal behavior of building models, but has seen only limited implementation using actual building data.

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Pages: 10 p.


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  • Original title: Improving HVAC performance through Koopman mode analysis of building data.
  • Record ID : 30013724
  • Languages: English
  • Source: 2014 Purdue Conferences. 3rd International High Performance Buildings Conference at Purdue.
  • Publication date: 2014/07/14


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