Bibliographic Details
| Title: |
Integrated optimization of hydrogen-fueled gas turbine parameters: Balancing efficiency and economic viability. |
| Authors: |
Elmeknassi, Youssef1 (AUTHOR), He, Weifeng1 (AUTHOR) wfhe@nuaa.edu.cn, Adam, Abdalazeem1,2 (AUTHOR) abdalazeem@nuaa.edu.cn, Han, Dong1 (AUTHOR), Shuo, Dai1 (AUTHOR) |
| Source: |
International Journal of Hydrogen Energy. Jun2025, Vol. 135, p111-120. 10p. |
| Subjects: |
Multi-objective optimization, Carbon emissions, Air flow, Internal combustion engines, Alternative fuels |
| Abstract: |
Hydrogen-fueled gas turbine engines offer a promising solution to improve thermal efficiency, reduce fuel consumption, and achieve zero CO 2 emissions. This study uses parametric analysis and multi-objective optimization to investigate the impact of these parameters on system performance and profitability. The results show a significant trade-off between efficiency and economic expenditures. As the equivalence ratio (ϕ) increases from 0.2 to 0.5, thermal efficiency improves consistently, rising from 26.8 % to 40.4 %. Meanwhile, total costs drop significantly from $11,645/hour to $7430/hour as ϕ increases from 0.2 to 0.38. However, beyond this threshold equivalence ratio value, costs begin to rise. The optimal compression ratio is 22.4 and the pressure distribution parameter is 0.3, which balances low costs and high efficiency. This study establishes a comprehensive framework for reconciling technical and economic goals, paving the way for future research that includes emissions considerations, alternative fuel options, and system changes. • Peak efficiency and net work occur at minimal air flow rates and r c of 23–24. • Optimal compression efficiency is achieved at low pressure distribution factors (P d = 0.3). • Multi-objective optimization yields r c = 22.4, P d = 0.3, and ϕ=0.38 as optimal values. • At optimal conditions, thermal efficiency is 36.98 %, with costs of $7364.68/hour. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |