Search Results - "Chung, Dae Hun"

  • Showing 1 - 7 results of 7
Refine Results
  1. 1

    Development of a statistical analysis model to benchmark the energy use intensity of subway stations by Ahn, Jonghoon, Cho, Soolyeon, Chung, Dae Hun

    Published in Applied energy (01-10-2016)
    “…•A multiple regression model for energy benchmarking subway stations is proposed.•Actual measured and simulation data are utilized to validate the…”
    Get full text
    Journal Article
  2. 2

    Energy cost analysis of an intelligent building network adopting heat trading concept in a district heating model by Ahn, Jonghoon, Chung, Dae Hun, Cho, Soolyeon

    Published in Energy (Oxford) (15-05-2018)
    “…With the help of advanced technologies, district heating systems were gradually improved to increase fuel use efficiency and reduce environmental impacts…”
    Get full text
    Journal Article
  3. 3

    Performance analysis of space heating smart control models for energy and control effectiveness in five different climate zones by Ahn, Jonghoon, Chung, Dae Hun, Cho, Soolyeon

    Published in Building and environment (01-04-2017)
    “…This paper compares smart control models for heating supply air among five different climate conditions to discuss the effectiveness of machine learning tools…”
    Get full text
    Journal Article
  4. 4

    Development of load models and operation simulator for a building complex with mixtures of multi-type engines and renewable devices by Liu, Jie, Chung, Dae-Hun, Chung, Mo, Im, Yong-Hoon

    Published in Energy and buildings (01-01-2018)
    “…A building load model for the electricity consumption of the KIER (Korea Institute of Energy Research) complex was developed by compiling the year-round hourly…”
    Get full text
    Journal Article
  5. 5

    Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands by Ahn, Jonghoon, Cho, Soolyeon, Chung, Dae Hun

    Published in Applied energy (15-03-2017)
    “…•Advanced controllers are proposed to reduce control errors and energy consumption increases.•The FIS and ANN models are utilized to compare conventional…”
    Get full text
    Journal Article
  6. 6

    A study on the design of recuperative burner by Park, Byung-Sik, Chung, Dae-Hun, Kim, Won-Bae, Kim, Yoo

    Published in International journal of energy research (10-03-1998)
    “…Waste heat recovery from the exhaust gas of industrial furnaces and kilns that are high energy‐consuming equipment is one of the effective energy conservation…”
    Get full text
    Journal Article
  7. 7