The PBMM, the world's first closed cycle multi-shaft gas turbine test rig, was designed and commissioned using Flownex within 9 months, saving $48 million. Flownex accurately simulated the startup and dynamic behavior of the three-shaft recuperated Brayton cycle, enabling critical design decisions and validating control strategies, leading to the PBMM's successful operation and boosting confidence in the larger PBMR project.
PBMM
The PBMM (the world’s first closed cycle multi–shaft gas turbine test rig) was developed to demonstrate the operation of a three-shaft, pre- and inter-cooled recuperative Brayton cycle in order to gain a better understanding of its dynamic behavior. The entire cycle was designed, simulated and commissioned with Flownex within 9 months at a cost saving of $48 million.
The system was also used to validate the control strategies of the PBMR namely, start-up, load following and load rejection. In this case study we will demonstrate Flownex’s ability to simulate the start-up of the PBMM.
CHALLENGE
The design team was faced with the following challenges:
A) Construct a three-shaft recuperated Brayton cycle that should be able to operate at design conditions, and also be able to perform dynamics such as start-up, load following and load rejection.
b) A three-shaft recuperated Brayton cycle has never been built before and was only proven as a theoretical exercise in the past.
c) Therefore no validated and verified design or experience on similar Brayton cycles was available to guide the design.
d) No off the shelf components were available for this Brayton cycle.
e) The Pebble Bed Micro Model (PBMM) was to be designed, built, commissioned and proven to work within 9 months.
f) The successful operation of the PBMM was on the critical path to boost confidence and secure funding for a larger project.
SOLUTION
Flownex proved to be accurate in the calculation of the bootstrap point. The powerful Transient feature within Flownex allowed accurate simulation of the start-up events within the PBMM, and proved to be a tool capable of
determining complex variables in seconds. The dynamics of the compressors, turbines, and thermal storage in heat exchangers are all accounted for in Flownex.
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INTRODUCTION
The PBMM (the world’s first closed cycle multi–shaft gas turbine test rig) was developed to demonstrate the operation of a three-shaft, pre- and inter-cooled recuperative Brayton cycle in order to gain a better understanding of its dynamic behavior. The entire cycle was designed, simulated and commissioned with Flownex within 9 months at a cost saving of $48 million.
The system was also used to validate the control strategies of the PBMR namely, startup, load following and load rejection. In this case study we will demonstrate Flownex’s ability to simulate the start-up of the PBMM. See the article "Comparison of the thermal-fluid analysis code Flownex with experimental data from the Pebble Bed Micro Model" by Van Niekerk et al.1 for a complete description of the PBMM cycle.
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SOLUTION
Initial quotes received were in the order of $50 million and with a lead time of 3 years. This was not within the design requirements. The system as a whole was scrutinized and the turbo machines were found to be both critical for the cycle operation and to have the longest lead times.
The design team then investigated the option to buy off the shelf turbo machines and then design the rest of the cycle around the turbo-machines with the help of Flownex. The other components in the cycle (Recuperator, Intercooler, Precooler, Start-up blower etc.) were designed from the Flownex results using the off the shelf turbo machine performance characteristics as input.
The cycle was not only designed for the optimum operating point of the cycle but also for off design conditions as required and especially for start-up of the cycle. For start-up, the power to the heater is kept constant. As the system heats up, the outlet temperature of the heater rises as the inlet temperature rises. As a result the system pressure increases and the systems dependence on the start-up blower decreases. The cycle spirals towards self-sustained circulation and the Start-up Blower System is disengaged. In this condition, the cycle is said to have bootstrapped.
Using Flownex, the start-up procedure of the PBMM was simulated, and it could be determined beforehand where changes to the procedure were necessary. The temperature at which the system will bootstrap was also determined with the help of Flownex simulations. The exit temperature of the heater is probably the most important determinant of the bootstrap point, as the energy that the turbines can deliver depends on the inlet gas temperature. Flownex predicted the bootstrap temperature as shown below. In the figures, a comparison between the calculated and measured variables can be seen.
The heat loss to ambient conditions, the transient behavior of the turbo machines, the thermal inertia of the heat exchangers and the system as a whole, the pressure drop and heat transfer through the piping and valves were integrated in Flownex to be able to design an operational plant from the selected turbo machines without any prior practical knowledge of a similar three-shaft recuperated plant. Not only was the plant designed for a design point operating condition, but the start-up of the plant from cold initial conditions, through the bootstrap point to the designed operating point, was predicted with Flownex very accurately.
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RESULTS
The initial cost estimates were in the order of $50 million, with a lead time of 3 years. The Pebble Bed Micro Model was designed, manufactured, constructed, commissioned, and proved to be successful within 9 months as required and at a cost of only $2M. Flownex was instrumental throughout the design of the cycle and provided the design team with quick, accurate, and integrated performance information. This performance information enabled the design team to make critical time saving decisions in terms of component selection and component interaction and still ensure cycle controllability at design and off design conditions.
Flownex proved to be accurate in the calculation of the bootstrap point. The powerful Transient feature within Flownex allowed accurate simulation of the start-up events within the PBMM, and proved to be a tool capable of determining complex variables in seconds. The dynamics of the compressors, turbines, and thermal storage in heat exchangers are all accounted for in Flownex.