Exploration of control strategies for air side design in active chilled beams
Heating Ventilating and Air Conditioning systems can consume up to 30% of the overall energy consumed by a building. Profound emphasis is being laid on constructing green buildings conforming to Greenmark and LEED certifications or making the existing building more energy efficient. Energy...
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Format: | Theses and Dissertations |
Language: | English |
Published: |
2015
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Online Access: | http://hdl.handle.net/10356/65171 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Heating Ventilating and Air Conditioning systems can consume up to 30% of the
overall energy consumed by a building. Profound emphasis is being laid on
constructing green buildings conforming to Greenmark and LEED certifications or
making the existing building more energy efficient. Energy savings by making
HV AC systems more efficient has become feasible since the advent of Active
Chilled Beams which have become a popular alternative to generic VA V systems
over the recent years due to their energy saving potential and minimal space
requirements.
The physical design characteristics of chilled beams cannot be credited entirely for
operational efficiencies and low power consumption in HV AC systems. Without the
assistance of high and low level, robust and stable control system it is difficult to
maintain the desired thermal load with acceptable levels of operational efficiencies.
This master's thesis aims to explore multiple control strategies for air side design
utilizing active chilled beams. The air side design considerations include the control
of fan that supplies the primary air to the duct and a damper that controls the air-flow
rate to the ACB terminal unit. A model of the system has been developed using an
intelligent identification algorithm based on empirical system modelling established
on the method of linear least squares. A comparison of controller and system
performance was conducted on a pilot plant between PID controller using Internal
Model Control structure and Generalized Predictive Controller based N-Star tuning
algorithm and the latter has shown promising performance than a PID controller by
displaying less overshoot, faster settling time and better robustness. |
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