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Je Hyeon Lee

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Lee, Je Hyeon / Song, Sunggeun / Song, Young-hak (2021): Verification of refrigerant evaporating temperature control effect in VRF systems in actual buildings. In: Energy and Buildings, v. 250 (November 2021).

    https://doi.org/10.1016/j.enbuild.2021.111295

  2. Kang, Won Hee / Yoon, Yeobeom / Lee, Je Hyeon / Woo Song, Kwan / Chae, Young Tae / Lee, Kwang Ho (2021): In-situ application of an ANN algorithm for optimized chilled and condenser water temperatures set-point during cooling operation. In: Energy and Buildings, v. 233 (Februar 2021).

    https://doi.org/10.1016/j.enbuild.2020.110666

  3. Yun, Geun Young / Lee, Je Hyeon / Kim, Han Jun (2016): Development and application of the load responsive control of the evaporating temperature in a VRF system for cooling energy savings. In: Energy and Buildings, v. 116 (März 2016).

    https://doi.org/10.1016/j.enbuild.2016.02.012

  4. Lee, Je Hyeon / Kim, Hyemi / Song, Young-hak (2018): A Study on verification of changes in performance of a water-cooled VRF system with control change based on measuring data. In: Energy and Buildings, v. 158 (Januar 2018).

    https://doi.org/10.1016/j.enbuild.2017.10.014

  5. Lee, Je Hyeon / Im, Piljae / Song, Young-hak (2018): Field test and simulation evaluation of variable refrigerant flow systems performance. In: Energy and Buildings, v. 158 (Januar 2018).

    https://doi.org/10.1016/j.enbuild.2017.10.077

  6. Chung, Min Hee / Yang, Young Kwon / Lee, Kwang Ho / Lee, Je Hyeon / Moon, Jin Woo (2017): Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system. In: Building and Environment, v. 125 (November 2017).

    https://doi.org/10.1016/j.buildenv.2017.08.044

  7. Yun, Geun Young / Lee, Je Hyeon / Steemers, Koen (2016): Extending the applicability of the adaptive comfort model to the control of air-conditioning systems. In: Building and Environment, v. 105 (August 2016).

    https://doi.org/10.1016/j.buildenv.2016.05.027

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