Teitl: Prediction of Novel Humified Gas Turbine Cycle Parameters for Ammonia/Hydrogen Fuels - data

Dyfyniad
Milana Guteša Božo, Agustin Valera-Medina (2020). Prediction of Novel Humified Gas Turbine Cycle Parameters for Ammonia/Hydrogen Fuels - data. Cardiff University. http://doi.org/10.17035/d.2020.0120116779


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Crewyr y Set Ddata o Brifysgol Caerdydd

Manylion y Set Ddata
Cyhoeddwr: Cardiff University
Dyddiad (y flwyddyn) pryd y daeth y data ar gael i'r cyhoedd: 2020
Dyddiad dechrau creu'r data: 01.11.2020
Dyddiad gorffen creu'r data: 02.11.2020
Fformat y data: .xlsx
Amcangyfrif o gyfanswm maint storio'r set ddata: Llai na 100 megabeit
Nifer y ffeiliau yn y set ddata: 1
DOI: 10.17035/d.2020.0120116779

Disgrifiad

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.   

Research results based upon these data are published at https://doi.org/10.3390/en13215749



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