文献类型：期刊文献

英文题名：Source term estimation of hydrogen leakages from hydrogen-fueled gas turbines based on sensor layout optimisation

作者：Ni, Chuantao[1];Lang, Ziqiang[1,2];Cao, Chenxi[1];Wang, Bing[1];Li, Ang[1];Du, Wenli[1];Qian, Feng[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Univ Sheffield, Sch Elect & Elect Engn, Sheffield S1 3JD, England

年份：2026

卷号：247

外文期刊名：INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

收录：;EI(收录号：20262320841676);WOS:【SCI-EXPANDED(收录号:WOS:001791863900001)】；

基金：The work was supported by the National Natural Science Foundation of China (Basic Science Center Program Grant 61988101, Key Program Grant 62303186, and Grant 62203173) and Natural Science Foundation of Shanghai (24ZR1414900).

语种：英文

外文关键词：Computational fluid dynamics; Hydrogen-fueled gas turbine; Hydrogen leakage; Sensor layout optimisation; Source term estimation

摘要：Numerous least squares (LS)-based source term estimation (STE) methods have recently been developed for realtime STE based on a linear correlation between sensor measurements and leakage strengths. However, the linear correlation may not be valid in many practical scenarios, such as, e.g., the hydrogen-fueled gas turbine (HFGT) system, due to the effects of turbulent airflow and complex obstacles. To address this challenge, this study proposes a new LS-based STE approach, where a sensor layout optimisation strategy is, for the first time, introduced based on Pearson correlation analysis and clustering to ensure the linear correlation and the singular value shrinkage operator is further employed to address issues with potential system ill-posedness. The effectiveness of the proposed approach is verified using data from computational fluid dynamics simulations in a HFGT. Compared with existing LS-based STE methods based on random sensor layouts, the proposed approach offers a substantial performance advantage.