4.7 Article

Preliminary Analysis of Compression System Integrated Heat Management Concepts Using LH2-Based Parametric Gas Turbine Model

期刊

AEROSPACE
卷 9, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/aerospace9040216

关键词

cryogenic fuel; liquid hydrogen; heat exchanger; precooling; intercooling; Thrust Specific Fuel Consumption

资金

  1. European Commission [769241]
  2. H2020 Societal Challenges Programme [769241] Funding Source: H2020 Societal Challenges Programme

向作者/读者索取更多资源

This paper presents a numerical framework for investigating heat management concepts using LH2 and explores the impact of using LH2 to precool and intercool the compression system. The results show that precooling and intercooling with LH2 can improve the performance of the propulsion system to a certain extent, but higher effectiveness designs may result in disproportionately higher pressure losses.
The investigation of the various heat management concepts using LH2 requires the development of a modeling environment coupling the cryogenic hydrogen fuel system with turbofan performance. This paper presents a numerical framework to model hydrogen-fueled gas turbine engines with a dedicated heat-management system, complemented by an introductory analysis of the impact of using LH2 to precool and intercool in the compression system. The propulsion installations comprise Brayton cycle-based turbofans and first assessments are made on how to use the hydrogen as a heat sink integrated into the compression system. Conceptual tubular compact heat exchanger designs are explored to either precool or intercool the compression system and preheat the fuel to improve the installed performance of the propulsion cycles. The precooler and the intercooler show up to 0.3% improved specific fuel consumption for heat exchanger effectiveness in the range 0.5-0.6, but higher effectiveness designs incur disproportionately higher pressure losses that cancel-out the benefits.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据