Prediction of Novel Humified Gas Turbine Cycle Parameters for Ammonia/Hydrogen Fuels - data
收藏DataCite Commons2024-12-05 更新2025-04-09 收录
下载链接:
https://research-data.cardiff.ac.uk/articles/dataset/Prediction_of_Novel_Humified_Gas_Turbine_Cycle_Parameters_for_Ammonia_Hydrogen_Fuels_-_data/27277260
下载链接
链接失效反馈官方服务:
资源简介:
Data to determine the best cycle configuration in a humidified ammonia/hydrogen gas turbine have been generated to address the inefficiencies of the use of ammonia-blends in power generation. The data contains results of chemical kinetics through a Chemical Reaction Network assessed under high pressure, high temperature conditions using a 70-30 ammonia-hydrogen (vol%) humidified blend. Several efficiencies (mechanical, combustion, turbine expansion, cooling, steam injection, etc.) are also determined, analyzed with variations of 5%, and compared, providing guidance for improvement of these units.
提供机构:
cardiff University
创建时间:
2021-04-15



