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Type of Document Thesis Author Tracy, Thomas J. Author's Email Address tjt03c@fsu.edu URN etd-07212010-175237 Title Design, Modeling, Construction, and Flow Splitting Optimization of a Micro Combined Heating, Cooling, and Power System Degree Master of Science Department Mechanical Engineering, Department of Advisory Committee
Advisor Name Title Juan C. Ordonez Committee Chair Carl Moore Committee Member Farrukh Alvi Committee Member Keywords
- Flow Splitting
- Energy
- Power
- Trigeneration
- CHCP
- Combined Power Systems
Date of Defense 2010-06-22 Availability unrestricted Abstract Combined heating, cooling, and power systems (CHCP) have the ability to provide simultaneous electricity, heating, and cooling at a lower fuel and emissions cost than conventional methods. This technology achieves this by recovering otherwise wasted thermal energy from the exhaust of the prime mover. This work aims to examine the optimal flow splitting of this exhaust stream in a CHCP system between the water heating and refrigeration units. A thermodynamic model was created and an experimental system was designed, built, and tested.Results from the simulated model show that thermodynamic losses can be minimized in the CHCP system with the proper selection of a splitting fraction. Under this condition maximum first law system efficiency can be achieved. An exergetic analysis confirms the existence of an optimal splitting.
An experimental micro CHCP system was built with a bypass valve system that permitted manual control of the exhaust gas splitting fraction. Splitting fractions of X = 0, 0.12, 0.18, 0.45, and 0.9974 could be achieved with this bypass system. Test runs of the system showed that 64%, 83%, and 86% of the thermal energy contained within the hot exhaust gas stream could be recovered under splitting fractions of X = 0.45, 0.18, and 0.12 respectively. First and second law analysis proved that overall system efficiencies of the CHCP system could be significantly improved when compared to system efficiencies of electrical power generation alone.
Experimental results were then used to recalibrate the model to better simulate the performance of the experimental CHCP system built for this work.
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