TY - JOUR
T1 - A novel combined model for energy consumption performance prediction in the secondary air system of gas turbine engines based on flow resistance network
AU - Gong, Wenbin
AU - Lei, Zhao
AU - Nie, Shunpeng
AU - Liu, Gaowen
AU - Lin, Aqiang
AU - Feng, Qing
AU - Wang, Zhiwu
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/10/1
Y1 - 2023/10/1
N2 - Predicting the comprehensive energy consumption is challenging for the complicated secondary air system. To solve this problem, a universal flow resistance element has been constructed to describe different components more accurately. And a novel flow resistance network is proposed to calculate the system's energy consumption. This network can be analyzed by the flow resistance characteristics of its components to estimate the energy consumption of each component and the energy loss of the system. Furthermore, a flow resistance parameter is defined as a unique factor to determine the magnitude of flow resistance for each component. Compared to experimental and numerical results, both models demonstrate sufficient accuracy in calculating mass flow rates and entropy increments, with the maximum deviation less than 1.2%. The above two models are also applied to predict flow losses of elements with changes in pressure and inlet total temperature, with the maximum deviation less than 4.5%. Based on the flow resistance network, the aerodynamic performance of each element can be easily computed by the inlet and outlet boundary of this system, regardless of whether the elements are arranged in series or parallel.
AB - Predicting the comprehensive energy consumption is challenging for the complicated secondary air system. To solve this problem, a universal flow resistance element has been constructed to describe different components more accurately. And a novel flow resistance network is proposed to calculate the system's energy consumption. This network can be analyzed by the flow resistance characteristics of its components to estimate the energy consumption of each component and the energy loss of the system. Furthermore, a flow resistance parameter is defined as a unique factor to determine the magnitude of flow resistance for each component. Compared to experimental and numerical results, both models demonstrate sufficient accuracy in calculating mass flow rates and entropy increments, with the maximum deviation less than 1.2%. The above two models are also applied to predict flow losses of elements with changes in pressure and inlet total temperature, with the maximum deviation less than 4.5%. Based on the flow resistance network, the aerodynamic performance of each element can be easily computed by the inlet and outlet boundary of this system, regardless of whether the elements are arranged in series or parallel.
KW - Aerodynamic performance
KW - Elements system evaluation
KW - Energy consumption
KW - Entropy increment
KW - Flow resistance characteristics
KW - Flow resistance network
UR - http://www.scopus.com/inward/record.url?scp=85162952133&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2023.127951
DO - 10.1016/j.energy.2023.127951
M3 - 文章
AN - SCOPUS:85162952133
SN - 0360-5442
VL - 280
JO - Energy
JF - Energy
M1 - 127951
ER -