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Building Services Control Lab
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A lab that explores the control of air-conditioning and heat source systems.
AboutAbout the lab
Approaching building equipment through control.
The Building Services Control Lab studies the control of air-conditioning and heat source systems.
The lab works on evaluating the comfort of indoor environments using brain waves, controlling heat source systems for greenhouse horticulture, and optimizing the operation of building heat source systems.
Some of the research uses model predictive control as the control method.
Associate Professor Doyun Lee belongs to the Energy Research and Education Organization and holds concurrent appointments in the Department of Architecture, School of Engineering, and the Department of Spatial Systems, Graduate School of Human-Environment Studies.
Key terms
- Brain waves
- The electrical activity of the brain, measured with electrodes attached to the head. Used as a clue for evaluating the comfort of indoor environments
- Heat source system
- The whole set of equipment that produces and delivers the heat used to heat and cool a building
- Model predictive control
- A control method that decides how to operate equipment while predicting future states with a computational model
ResearchResearch themes
The Building Services Control Lab studies the control of building equipment, within the fields of the built environment and building services. Its research themes are evaluating indoor comfort with brain waves and air-conditioning system control, optimal control of heat source systems in greenhouse horticulture, and optimizing the operation of building heat source systems.
*Illustrative imageComfort Evaluation Using Brain Waves and Air-Conditioning Control
The lab evaluates the comfort of indoor environments using brain waves and works on the control of air-conditioning systems. Keywords are brain waves, indoor environment, thermal comfort, and air-conditioning control.
*Illustrative imageEnergy Saving in Heat Source Systems for Greenhouse Horticulture
This research aims to save energy by optimally controlling the heat source systems used in greenhouse horticulture. Keywords are greenhouse horticulture, heat source systems, optimal control, and energy saving.
*Illustrative imageOptimizing the Operation of Building Heat Source Systems
This research uses model predictive control to optimize the operation of building heat source systems. Keywords are model predictive control, heat source systems, and operational optimization.
MembersFaculty
- Associate ProfessorDoyun Lee
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “374th Civil Engineer Squadron Heating Ventilation and Air Conditioning Airmen 150421-F-WH816-162” Airman 1st Class DELANO SCOTT / Public domain (cropped)
- Comfort Evaluation Using Brain Waves and Air-Conditioning Control: “Office room with Westpoint ceiling cassette air conditioners” CFEE (Westpoint) / CC BY-SA 4.0 (cropped)
- Energy Saving in Heat Source Systems for Greenhouse Horticulture: “Amateurs Greenhouse Conservatory-0046” Shirley Hibberd / Public domain (cropped)
- Optimizing the Operation of Building Heat Source Systems: “Outunit of heat pump” No machine-readable author provided. Ppntori assumed (based on copyright claims). / Public domain (cropped)
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