A model for parameter estimation of multistage centrifugal compressor and compressor performance analysis using genetic algorithm

2012 ◽  
Vol 55 (11) ◽  
pp. 3163-3175 ◽  
Author(s):  
Fei Chu ◽  
FuLi Wang ◽  
XiaoGang Wang ◽  
ShuNing Zhang
Keyword(s):  
Genetic Algorithm ◽  
Parameter Estimation ◽  
Performance Analysis ◽  
Centrifugal Compressor ◽  
Compressor Performance ◽  
Multistage Centrifugal Compressor

On-Line Monitoring Software and Diagnostic Tool for Centrifugal Compressor Performance Evaluation

2006 ◽  
Author(s):  
Kamorudeen B. Abidogun ◽  
Mohamed S. Al-Ghamdi ◽  
Adel Al-Ali ◽  
Khalid Al-Yousef
Keyword(s):  
Performance Evaluation ◽  
Performance Analysis ◽  
Centrifugal Compressor ◽  
Intelligent System ◽  
Accumulation Rate ◽  
Gas Analysis ◽  
Actual Performance ◽  
Process Gas ◽  
Performance Deterioration ◽  
Compressor Performance

In-house developed centrifugal compressor performance software was customized for PETROKEMYA (an affiliate of SABIC) Olefins III cracked gas compressor (CGC), the heart of ethylene plant. The software provides live performance analysis of the machine by calculating, per section, polytropic efficiency, polytropic head, and gas power using Lee-Kesler equation of state. Gas analysis is read online to reflect the minute changes in the composition on the calculated parameters. Actual operating parameters are plotted continuously and compared to the performance curves in order to predict possible performance deterioration before it becomes too late. Such information is useful in determining future maintenance requirements based on the actual performance of the machine rather than the traditional time-based maintenance. Moreover, it ensures proper timely action through optimization of wash oil or other chemical injection to help minimize fouling accumulation rate and maximize production and machine availability. Features are introduced to enable performance analysis of the compressor since commissioning to be carried out by click of a button, providing useful information for upgrading and troubleshooting. Unlike its commercially available counterpart with write-protected restrictions, the software is easily modified for additional features that are of interest to Engineers. Features planned for the future include adding intelligent system capability for predicting performance deterioration severity, auto-notifying agents etc. Performance evaluation of a 45 MW, five section process gas compressor before and after turnaround (T/A), clearly revealed the fouling prediction capability of the software.

Wet Gas Performance of a Single Stage Centrifugal Compressor

2008 ◽  
Author(s):  
O̸yvind Hundseid ◽  
Lars E. Bakken ◽  
Trond G. Gru¨ner ◽  
Lars Brenne ◽  
Tor Bjo̸rge
Keyword(s):  
Performance Analysis ◽  
Centrifugal Compressor ◽  
Single Stage ◽  
Water Mixture ◽  
Performance Parameters ◽  
Operating Range ◽  
Wet Gas ◽  
Gas Compression ◽  
Compressor Performance ◽  
The Impact

This paper evaluates the performance analysis of wet gas compression. It reports the performance of a single stage gas centrifugal compressor tested on wet gas. These tests were performed at design operating range with real hydrocarbon mixtures. The gas volume fraction was varied from 0.97 to 1.00, with alternation in suction pressure. The range is representative for many of the gas/condensate fields encountered in the North Sea. The machine flow rate was varied to cover the entire operating range. The compressor was also tested on a hydrocarbon gas and water mixture to evaluate the impact of liquid properties on performance. No performance and test standards currently exist for wet gas compressors. To ensure nominated flow under varying fluid flow conditions, a complete understanding of compressor performance is essential. This paper gives an evaluation of real hydrocarbon multiphase flow and performance parameters as well as a wet gas performance analysis. The results clearly demonstrate that liquid properties influence compressor performance to a high degree. A shift in compressor characteristics is observed under different liquid level conditions. The results in this paper confirm the need for improved fundamental understanding of liquid impact on wet gas compression. The evaluation demonstrates that dry gas performance parameters are not applicable for wet gas performance analysis. Wet gas performance parameters verified against results from the tested compressor is presented.

Performance Analysis of a Microturbine Centrifugal Compressor From a Manufacturing Perspective

2011 ◽  
Author(s):  
A. Javed ◽  
M. Olivero ◽  
R. Pecnik ◽  
J. P. van Buijtenen
Keyword(s):  
Performance Analysis ◽  
Centrifugal Compressor ◽  
Cost Effective ◽  
Geometric Information ◽  
1D Model ◽  
Zone Modeling ◽  
Computational Fluid Dynamics Cfd ◽  
Compressor Performance ◽  
Secondary Zone ◽  
Geometric Changes

Gasturbine part manufacturers are often not involved in the design process. This means opportunities to optimize the design including manufacturing issues are missed. This paper presents a performance analysis of a microturbine centrifugal compressor from a manufacturer’s perspective. A one-dimensional (1D) performance modeling tool has been devised to predict the design and off-design performance by sequentially calculating the processes in the impeller, vaneless diffuser and scroll. Part drawings have been used to obtain the geometric information. Comprehensive two-zone modeling has been applied along with a set of meanline empirical loss models integrated in the secondary zone to estimate the entropy gain. This novel methodology has allowed the calculation of individual impeller loss mechanisms instead of predicting them as bulk. Computational Fluid Dynamics (CFD) has also been used to quantify the secondary flow properties and improve the 1D model. The results have been validated through a comparison with the microturbine test data. A sensitivity analysis has been performed to investigate the influence of geometric changes upon compressor performance. The study is important to develop design for manufacturing capability and optimize the designs for cost-effective manufacturing.

Effects of Diffuser Vane Geometries on Compressor Performance and Noise Characteristics in a Centrifugal Compressor

2013 ◽  
Author(s):  
Yohei Morita ◽  
Nobumichi Fujisawa ◽  
Takashi Goto ◽  
Yutaka Ohta
Keyword(s):  
Centrifugal Compressor ◽  
Noise Level ◽  
Leading Edge ◽  
Broadband Noise ◽  
Frequency Noise ◽  
Numerical Techniques ◽  
Vaned Diffuser ◽  
Noise Characteristics ◽  
Edge Vortex ◽  
Compressor Performance

The effects of the diffuser vane geometries on the compressor performance and noise characteristics of a centrifugal compressor equipped with vaned diffusers were investigated by experiments and numerical techniques. Because we were focusing attention on the geometries of the diffuser vane’s leading edge, diffuser vanes with various leading edge geometries were installed in a vaned diffuser. A tapered diffuser vane with the tapered portion near the leading edge of the diffuser’s hub-side could remarkably reduce both the discrete frequency noise level and broadband noise level. In particular, a hub-side tapered diffuser vane with a taper on only the hub-side could suppress the development of the leading edge vortex (LEV) near the shroud side of the diffuser vane and effectively enhanced the compressor performance.

Parametric Studies of Pipe Diffuser on Performance of a Highly Loaded Centrifugal Compressor

2014 ◽  
Vol 136 (12) ◽  
Author(s):  
Ge Han ◽  
Xingen Lu ◽  
Shengfeng Zhao ◽  
Chengwu Yang ◽  
Junqiang Zhu
Keyword(s):  
Centrifugal Compressor ◽  
Performance Enhancement ◽  
Detailed Comparison ◽  
Flow Distortion ◽  
Flow Solver ◽  
Beneficial Effects ◽  
Physical Mechanisms ◽  
Parametric Studies ◽  
Compressor Performance ◽  
Highly Loaded

Pipe diffusers with several different geometries were designed for a highly loaded centrifugal compressor originally using a wedge diffuser. Parametric studies on the effect of pipe diffuser performance of a highly loaded centrifugal compressor by varying pipe diffuser inlet-to-impeller exit radius ratio, throat length, divergence angle, and throat area on centrifugal compressor performance were performed using a state-of-the-art multiblock flow solver. An optimum design of pipe diffuser was obtained from the parametric study, and the numerical results indicate that this pipe diffuser has remarkable advantageous effects on the compressor performance. Furthermore, a detailed comparison of flow visualization between the pipe diffuser and the wedge diffuser was conducted to identify the physical mechanism that account for the beneficial effects of the pipe diffuser on the performance and stability of the compressor. It was found that the performance enhancement afforded by the pipe diffuser is a result of the unique diffuse inlet flow pattern. Alleviating flow distortion in the diffuser inlet and reducing the possibility of a flow separation in discrete passages are the physical mechanisms responsible for improving the highly loaded centrifugal compressor performance.

scholarly journals A Modified NM-PSO Method for Parameter Estimation Problems of Models

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
An Liu ◽  
Erwie Zahara ◽  
Ming-Ta Yang
Keyword(s):  
Genetic Algorithm ◽  
Parameter Estimation ◽  
Particle Swarm Optimization ◽  
Differential Equations ◽  
Ordinary Differential Equations ◽  
Optimization Problems ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Wide Range ◽  
Estimation Problems

Ordinary differential equations usefully describe the behavior of a wide range of dynamic physical systems. The particle swarm optimization (PSO) method has been considered an effective tool for solving the engineering optimization problems for ordinary differential equations. This paper proposes a modified hybrid Nelder-Mead simplex search and particle swarm optimization (M-NM-PSO) method for solving parameter estimation problems. The M-NM-PSO method improves the efficiency of the PSO method and the conventional NM-PSO method by rapid convergence and better objective function value. Studies are made for three well-known cases, and the solutions of the M-NM-PSO method are compared with those by other methods published in the literature. The results demonstrate that the proposed M-NM-PSO method yields better estimation results than those obtained by the genetic algorithm, the modified genetic algorithm (real-coded GA (RCGA)), the conventional particle swarm optimization (PSO) method, and the conventional NM-PSO method.

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