A novel data-driven reduced order modelling methodology for simulation of humid blowout in wet combustion applications

Author:

Palulli RahulORCID,Zhang KaiORCID,Dybe Simeon,Paschereit Christian Oliver,Duwig Christophe

Funder

Eurostars

Vetenskapsrådet

Publisher

Elsevier BV

Reference55 articles.

1. United nations - sustainable development goal 7: Affordable and clean energy,2022

2. Energy systems;Clarke,2022

3. A study of humidified gas turbines for short-term realization in midsized power generation—Part I: Nonintercooled cycle analysis;Bartlett;J Eng Gas Turbines Power,2005

4. Design and experimental characterization of a swirl-stabilized combustor for low calorific value gaseous fuels;Dybe;J Eng Gas Turbines Power,2020

5. Large eddy simulations of hydrogen oxidation at ultra-wet conditions in a model gas turbine combustor applying detailed chemistry;Krüger;J Eng Gas Turbine Power,2013

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