A micro gas turbine one-dimensional model: Approach description, calibration with a vector optimization methodology and validation

Based on recent studies, it is mandatory to match energy supply with user demand with the aim of achieving a significant primary energy saving. In order to ensure an efficient matching, the power plant must be capable to follow the energy demand fluctuation of specific users. The paper deals with the one-dimensional modeling, calibration and validation of a micro gas turbine plant which performs a regenerative Brayton cycle. Compressor and turbine have been outlined with performance maps, the combustor behavior is simulated by a 0D block and the recuperator is defined by a steady-state block; seven pipes have been modeled as 1D unsteady flow, and they connect the main components of the power plant. Although a micro gas turbine is substantially a steady plant, the application of a one-dimensional approach allows the accurate investigation of transient and stable part-load working conditions. The model has been calibrated using a multi-variable multi-objective methodology in which a genetic algorithm was coupled with the model and was capable to find out the optimal model settings. The model has been validated through the comparison between calculated and experimental data at part-load working conditions. The novelty of the paper is the modeling approach and its validation methodology.