Photovoltaic system, Simulation, Environmental economics, Rooftop photovoltaic power station and Energy consumption are his primary areas of study. He performs integrative Photovoltaic system and Geographic information system research in his work. Choongwan Koo has researched Simulation in several fields, including Thermal comfort, Reliability engineering, Construction management and Case-based reasoning.
His Reliability engineering study incorporates themes from Index and Optimal design. His Environmental economics research incorporates elements of Renewable energy, Green roof and Environmental resource management. The concepts of his Energy consumption study are interwoven with issues in Decision tree, Regression analysis and Decision support system.
Choongwan Koo spends much of his time researching Photovoltaic system, Environmental economics, Energy consumption, Reliability engineering and Renewable energy. His Photovoltaic system research is multidisciplinary, incorporating elements of Automotive engineering and Zero-energy building. Choongwan Koo performs multidisciplinary study on Environmental economics and Environmental impact assessment in his works.
His Energy consumption study integrates concerns from other disciplines, such as Decision tree, Energy and Unit. His studies deal with areas such as Simulation, Usability and Standard deviation as well as Reliability engineering. His Simulation research includes elements of Thermal comfort and Finite element method.
The scientist’s investigation covers issues in Photovoltaic system, Efficient energy use, Reliability engineering, Human–computer interaction and Facility management. His Photovoltaic system research includes themes of Environmental economics, Electricity and Robustness. He integrates Environmental economics with Consumption in his research.
His research integrates issues of Building management system and Big data in his study of Efficient energy use. The study incorporates disciplines such as Control system, Control and Anomaly detection in addition to Reliability engineering. His biological study spans a wide range of topics, including Quality, Variation and Building design.
Choongwan Koo mostly deals with Qualitative evidence, Positive perception, Architectural engineering, Energy demand and Climate Change Agreement. His Energy demand research covers fields of interest such as Techno economic, Block, Cost analysis, Technical analysis and Civil engineering. Choongwan Koo undertakes interdisciplinary study in the fields of Climate Change Agreement and Building energy through his research.
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A review on sustainable construction management strategies for monitoring, diagnosing, and retrofitting the building's dynamic energy performance: Focused on the operation and maintenance phase
Taehoon Hong;Choongwan Koo;Jimin Kim;Minhyun Lee.
(2015)
Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis
Taehoon Hong;Minhyun Lee;Choongwan Koo;Choongwan Koo;Kwangbok Jeong.
(2017)
LCC and LCCO2 analysis of green roofs in elementary schools with energy saving measures
TaeHoon Hong;JiMin Kim;ChoongWan Koo.
(2012)
A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system
Taehoon Hong;Choongwan Koo;Joonho Park;Hyo Seon Park.
(2014)
Economic and environmental evaluation model for selecting the optimum design of green roof systems in elementary schools
Jimin Kim;Taehoon Hong;Choong Wan Koo.
(2012)
An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method
Choongwan Koo;Sungki Park;Taehoon Hong;Hyo Seon Park.
(2014)
Development of a new energy efficiency rating system for existing residential buildings
Choongwan Koo;Taehoon Hong;Minhyun Lee;Hyo Seon Park.
(2014)
An estimation model for determining the annual energy cost budget in educational facilities using SARIMA (seasonal autoregressive integrated moving average) and ANN (artificial neural network)
Kwangbok Jeong;Choongwan Koo;Taehoon Hong.
(2014)
Framework for the analysis of the potential of the rooftop photovoltaic system to achieve the net‐zero energy solar buildings
Choongwan Koo;Taehoon Hong;Hyo Seon Park;Gangcheol Yun.
(2014)
A decision support model for reducing electric energy consumption in elementary school facilities
Taehoon Hong;Choongwan Koo;Kwangbok Jeong.
(2012)
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