Simulation of the intercooler and regenerative cycle on the gas turbine performance

This work presents the investigation and analysis made in expanding the scope of optimized gas turbine architectures for the extra-ordinary performance measures. We applied the systematic approach of evolutionary algorithm to optimizing the efficiency of work-regenerative cycles (batch-combustion) gas turbine engine. Then we translated this research to steady-flow combustion and added internal and external modes of heat transfer for the gerenation of electricity through gas trubine. In this dissertation, the steady-flow combustion optimization is completed with the addition of effect the intercooler and regenerative on the gas turbine performance. A restrained power transformation, in the form of regenerative cycles, were then introduced to the steady-flow combustion gas turbine engine and optimized for power transfer. A regenerative and external intercooling transfers were added as degrees of freedom. Ultimately feed-back and feedforward heat transfer was not helpful in improving the system efficiency. The implementation was performed on Matlab R2019a by training and testing an open source dataset from repository. This thesis uses a complete new research on regenerative cycles in which type of combined cycle has not yet been studied with the systematic thermodynamic approach. However, the most recent results regarding optimal heat generation with gas turbine give some intuition of how regenerative cycles fit into the overall optimal architecture landscape. We observed that the main reason the regenerative cycle is more efficient than existing concentric cycles is due to the architectural changes that reduce irreversibility during combustion. Thus, it seems reasonable that the regenerative cycles serves as an approximate upper bound on the efficiency performance of a combined gas/air cycle using combustion for intercooling process. The performance of the regenerative cycle is fairly complex, but the mixed air/gas version is nearly as efficient and simpler. There is no regeneration, which tends to dominate the physical footprint of cominbed regenerative cycle plants. Thus, the regenerative cycle could potentially be built to meet a wider range of capacity demands. On the other hand, the optimized regenerative cycle involves a lessconventional combustion strategy and intercooling with more devices.