Modeling of a Compressor's Performance Map by Fitting Function Methodology

Huan, Tu; Chen, Hui

doi:10.4028/www.scientific.net/amr.779-780.1194

Cited by 8 publications

(2 citation statements)

References 3 publications

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“…The compressor map estimation from Fig. 10(a) is qualitatively in agreement with the surface generated from a 4 th order polynomial fitting of the compressor maps in [25]. This can provide a more accurate extrapolation capacity where the performance beyond stall and choke lines -on each side -has dropped significantly as compared with real conditions, which the ANFIS model could not capture as well (Fig.…”

Section: B Compressor Map Estimationsupporting

confidence: 70%

Multi-region System Modelling by using Genetic Programming to Extract Rule Consequent Functions in a TSK Fuzzy System

Zhang

Martínez-García

Serrano

et al. 2019

2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)

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This paper aims to build a fuzzy system by means of genetic programming, which is used to extract the relevant function for each rule consequent through symbolic regression. The employed TSK fuzzy system is complemented with a variational Bayesian Gaussian mixture clustering method, which identifies the domain partition -simultaneously specifying the number of rules and the parameters of the fuzzy sets. The genetic programming approach is accompanied with an orthogonal least square algorithm to extract robust rule consequent functions for the fuzzy system. The proposed method provides a flexible grey-box modelling strategy, which brings three main advantages: 1) it is suitable for estimating a system with varying behavior across the elements of a partition of its domain; 2) it can automatically determine the necessary number of rules, without searching for redundant rule information; and 3) it only requires small data sets, in contrast with other machine learning approaches such as deep learning. The proposed model is validated with a synthetic surface, and then with real data from a gas turbine compressor map case, which is compared with an adaptive neuro fuzzy inference system model. The results have shown the adequateness of the proposed method for modelling systems with bifurcating dynamics, and where the analytical equations are not available, such as those in a typical industrial setting.

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Section: B Compressor Map Estimationsupporting

confidence: 70%

Multi-region System Modelling by using Genetic Programming to Extract Rule Consequent Functions in a TSK Fuzzy System

Zhang

Martínez-García

Serrano

et al. 2019

2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)

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“…For implementing the program, a mathematical expression of efficiency as a function of and pressure ratio is required. In this way, it was verified that a 4 th order polynomial is sufficient to portray efficiency curves [14].Thus, a least-square non-linear regression method was employed.The same reasoning is valid for turbine and anode recycle blower. Turbine Capstone C30 and the anode recycle blower from R&D Dynamics were used as baseline for scaling.…”

Section: Methods To Implement Non-dimensional Performance Maps -Scalabmentioning

confidence: 99%

Aproveitamento Energético Eficiente Do Glicerol – Modelamento No Estado Estacionário De Sistema Híbrido De Células a Combustível Do Tipo Óxido Sólido E Turbina a Gás

Silva¹

2019

ABM Proceedings

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Hybrid solid oxide fuel cell/gas turbine systems (SOFC-GT) are promising innovative technology with the potential to boost distributed energy generation, due to high electrical efficiencies achieved, while keeping much lower environmental impact. In this context, the present study provides a steady-state model for a SOFC-GT architecture based on anode gas recirculation concept, with glycerol being used as a fuel. The developed code allows calculating heat and mass balance using system analysis by modeling each module, namely, reformer, SOFC stack, afterburner, heat exchanger, anode gas recirculation blower, turbine and air compressor. Adiabatic reformer was modeled according to entropy maximization technique, allowing a more straightforward integration with SOFC anode, ensuring a faster code execution. The whole process flowsheet diagram (PFD) is provided for a designed 200kW AC SOFC-GT system, yielding 66.6% electrical efficiency. Such a high efficiency is achieved for pressurized system (8 atm), SOFC stack composed of 500 cells, at a power density of 0.75 W cm −2 and single cell voltage of 0.842V. Enhanced electrochemical performance is obtained with the utilization of a new generation of metal-supported SOFC, based on optimized materials LSCM/YSZ/SDCN (lanthanum strontium manganite/yttria stabilized zirconia/samaria-doped ceria mixed with Ni). In addition, two-stage compression and expansion, with proper selection of rotor diameter sizes besides a fully electric technology, could result in compressors and turbines efficiencies of approximately 83% and 85%, respectively.

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High-fidelity model development of CO2 booster refrigeration systems in supermarkets using field measurements

Li,

Korolija,

Tang

et al. 2025

International Journal of Refrigeration

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Modeling of a Compressor's Performance Map by Fitting Function Methodology

Cited by 8 publications

References 3 publications

Multi-region System Modelling by using Genetic Programming to Extract Rule Consequent Functions in a TSK Fuzzy System

Multi-region System Modelling by using Genetic Programming to Extract Rule Consequent Functions in a TSK Fuzzy System

Aproveitamento Energético Eficiente Do Glicerol – Modelamento No Estado Estacionário De Sistema Híbrido De Células a Combustível Do Tipo Óxido Sólido E Turbina a Gás

High-fidelity model development of CO2 booster refrigeration systems in supermarkets using field measurements

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