基于RSM的蓄热式燃气轮机电厂性能分析与优化

IF 1 Q4 ENGINEERING, MECHANICAL

International Journal of Automotive and Mechanical Engineering Pub Date : 2023-10-09 DOI:10.15282/ijame.20.3.2023.10.0824

Moumtez Bensouici, Mohamed Walid Azizi, Fatima Zohra Bensouici

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引用次数: 0

摘要

在本研究中，对蓄热式GT发电厂的热性能进行了热力学分析。利用响应面法实现了设计参数的优化过程。利用EES代码对压缩比(2≤rp≤12)、进口温度(273≤T1≤313K)、涡轮进口温度(1200≤T3≤1600K)和蓄热器效率(45≤ε≤85%)等多个变量进行了热力学模拟。采用方差分析(ANOVA)确定影响热效率(ηth)和比油耗(SFC)的工艺参数。在此基础上，建立了工艺参数与η和SFC之间的二阶回归模型，并进行了数值优化和图形优化，实现了对期望标准的多目标优化。根据理想函数法，得到的最佳目标函数为η =50.61%， SFC=0.117 kg/kWh，对应工艺参数T1=273.26K, T3=1597.64K, rp=6.95， ε=84.89%。最后，通过仿真验证了所生成统计模型的有效性。

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Performance Analysis and Optimization of Regenerative Gas Turbine Power Plant using RSM

In the present study, a thermodynamic analysis of thermal performance is carried out in a regenerative GT power plant. The optimization procedure of design parameters is realized by the response surface methodology (RSM). The thermodynamic simulations were carried out using the EES code for numerous variables such as compression ratio (2≤rp≤12), inlet temperature (273≤T1≤313K), turbine inlet temperature (1200≤T3≤1600K), and regenerator effectiveness (45≤ε≤85%). Analysis of variance (ANOVA) was carried out to identify the process parameters that influence thermal efficiency (ηth) and specific fuel consumption (SFC). Then, a second-order regression model was developed to correlate the process parameters with ηth and SFC. Consequently, numerical and graphical optimizations were performed to achieve multi-objective optimization for the desired criteria. According to the desirability function approach, it can be seen that the optimum objective functions are ηth=50.61% and SFC=0.117 kg/kWh, corresponding to process parameters T1=273.26K, T3=1597.64K, rp=6.95 and ε=84.89%. Lastly, verification simulations were conducted to validate the importance of the generated statistical models.

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来源期刊

International Journal of Automotive and Mechanical Engineering ENGINEERING, MECHANICAL-

CiteScore

2.40

自引率

10.00%

发文量

审稿时长

20 weeks

期刊介绍： The IJAME provides the forum for high-quality research communications and addresses all aspects of original experimental information based on theory and their applications. This journal welcomes all contributions from those who wish to report on new developments in automotive and mechanical engineering fields within the following scopes. -Engine/Emission Technology Automobile Body and Safety- Vehicle Dynamics- Automotive Electronics- Alternative Energy- Energy Conversion- Fuels and Lubricants - Combustion and Reacting Flows- New and Renewable Energy Technologies- Automotive Electrical Systems- Automotive Materials- Automotive Transmission- Automotive Pollution and Control- Vehicle Maintenance- Intelligent Vehicle/Transportation Systems- Fuel Cell, Hybrid, Electrical Vehicle and Other Fields of Automotive Engineering- Engineering Management /TQM- Heat and Mass Transfer- Fluid and Thermal Engineering- CAE/FEA/CAD/CFD- Engineering Mechanics- Modeling and Simulation- Metallurgy/ Materials Engineering- Applied Mechanics- Thermodynamics- Agricultural Machinery and Equipment- Mechatronics- Automatic Control- Multidisciplinary design and optimization - Fluid Mechanics and Dynamics- Thermal-Fluids Machinery- Experimental and Computational Mechanics - Measurement and Instrumentation- HVAC- Manufacturing Systems- Materials Processing- Noise and Vibration- Composite and Polymer Materials- Biomechanical Engineering- Fatigue and Fracture Mechanics- Machine Components design- Gas Turbine- Power Plant Engineering- Artificial Intelligent/Neural Network- Robotic Systems- Solar Energy- Powder Metallurgy and Metal Ceramics- Discrete Systems- Non-linear Analysis- Structural Analysis- Tribology- Engineering Materials- Mechanical Systems and Technology- Pneumatic and Hydraulic Systems - Failure Analysis- Any other related topics.