A comparison of micro gas turbine operation modes for optimal efficiency based on a nonlinear model
A comparison of micro gas turbine operation modes for optimal efficiency based on a nonlinear model
复制标题
基于非线性模型的微型燃气轮机最佳效率运行模式比较
DOI：
10.1016/j.energy.2017.06.035
复制
发表时间：
2017-09
期刊：
影响因子：
9
通讯作者：
Duan JD
中科院分区：
文献类型：
--
作者：
Duan Ji;ong;Fan Shaogui;An Quntao;Sun Li;Wang Guanglin;Duan JD
本文的创新之处在于基于非线性模型对微型燃气轮机（MGT）的最优效率运行模式进行了比较，并提出了最优效率的变速控制方法。建立了基于热力学分析的非线性MGT数学模型，该模型能完整地反映MGT运行特性。当空气流量一定时，转子转速对MGT效率影响较大。当速度达到一定值时，系统效率达到最大值。在此基础上，研究了四种MGT运行模式的效率：一个简单循环的等速，2。一个简单循环的变速，3。再生循环的等速；再生循环的可变速度。本文用数值计算方法研究了不同输出功率下最优效率与相应转速的关系。最优效率公式可用于生成给定的MGT速度控制器的最优效率运行速度。结果表明：在小负荷条件下，蓄热循环的变速运行方式系统效率最高，效率优化效果明显；
The novel contribution of this paper is that Micro gas turbine (MGT) operation modes for optimal efficiency are compared based on a nonlinear model, and the variable-speed control is proposed for optimal efficiency. The nonlinear mathematical MGT model is established based on thermodynamic analysis, which can completely reflect the MGT operational characteristics. When the air flow rate is fixed, the rotational speed of the rotor greatly influences the MGT efficiency. At a certain value of speed, the system efficiency reaches its maximum. On this basis, the efficiency of four MGT operation modes are studied: 1. constant speed of a simple cycle, 2. variable speed of a simple cycle, 3. constant speed of a regenerative cycle, and 4. variable speed of a regenerative cycle. In this paper, the relationship between optimal efficiency and the corresponding rotational speed of different output powers formulated using a numerical calculation method is studied. The optimal efficiency formula can be used to generate the given speed of the MGT speed controller for optimally efficient operation. The results show that the variable-speed operation mode of the regenerative cycle exhibited the highest system efficiency and has an evident efficiency optimization effect under a small load.
登录
查看更多内容
影响因子：
9
作者：
W. Rachtan;L. Malinowski
通讯作者：
W. Rachtan;L. Malinowski
影响因子：
15.9
作者：
M. Ismail;Mahmoud Moghavvemi;T. Mahlia
通讯作者：
M. Ismail;Mahmoud Moghavvemi;T. Mahlia
影响因子：
--
作者：
P. Ailer;I. Sánta;G. Szederkényi;K. Hangos
通讯作者：
P. Ailer;I. Sánta;G. Szederkényi;K. Hangos
影响因子：
11.2
作者：
Tsoutsanis, Elias;Meskin, Nader;Khorasani, Khashayar
通讯作者：
Khorasani, Khashayar
影响因子：
6.6
作者：
M. Tavakoli;B. Vahidi;Wolfgang Gawlik
通讯作者：
M. Tavakoli;B. Vahidi;Wolfgang Gawlik