Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Markov Chain Monte Carlo Parameter Estimation of Deflagration Losses in a Rotating Detonation Engine

Conference · · AIAA SCITECH 2023 Forum
DOI:https://doi.org/10.2514/6.2023-1293· OSTI ID:1995218

One of the practical challenges of the studies of rotating detonation engines (RDEs) is the direct estimation of losses from experimental measurements. This study attempts at resolving this limitation by combining a reduced order model (ROM) of the detonation wave characteristics with a Markov chain Monte Carlo parameter estimation framework. The model considers simple deflagration losses and the overall impact of deflagration on RDE performance. To evaluate this model, a Markov Chain Monte Carlo (MCMC) sampling technique was applied to estimate the loss parameters within the model for a set of conditions operated in hydrogen-air over a range of mass flow rates and equivalence ratios. The MCMC parameter estimation framework allowed for the determination of a posterior distribution of the loss parameters for each test condition, an examination of the correlation between the loss parameters and measured performance metrics of the RDE, and an uncertainty propagation of these parameters. The predicted model loss parameters were then compared to indirect experimental measurements of the deflagration combustion fractions to evaluating the validity of the approach, and shed light on the benefits and drawbacks of the model, measurement techniques, and the estimation framework.

Research Organization:
University of Michigan, Ann Arbor
Sponsoring Organization:
USDOE Office of Fossil Energy and Carbon Management (FECM)
DOE Contract Number:
FE0031228
OSTI ID:
1995218
Report Number(s):
DOE-UMICH-FE0031228-004
Journal Information:
AIAA SCITECH 2023 Forum, Conference: AIAA SciTech 2023 Forum National Harbor, MD January 23-27 2023
Country of Publication:
United States
Language:
English

References (16)

Thermodynamic Modeling of a Rotating Detonation Engine Through a Reduced-Order Approach journal September 2017
Thermodynamic and Operability Implications of Product Recirculation in Rotating Detonation Engines conference August 2019
Product Recirculation and Incipient Autoignition in a Rotating Detonation Engine conference January 2020
Effects of CO2 Diluent on Rotating Detonation Combustor Operation conference January 2021
Quantification of the Loss Mechanisms of a Ram Rotating Detonation Engine conference January 2020
Computationally Quantifying Loss Mechanisms in a Rotating Detonation Engine conference January 2016
Evaluation of OH Emission for Determining Operation of a Rotating Detonation Engine conference January 2019
Effects of Heat Release Distribution on Detonation Properties in a H2/Air Rotating Detonation Combustor from OH* Chemiluminesence conference August 2019
Study of Parasitic Combustion in an Optically Accessible Continuous Wave Rotating Detonation Engine conference January 2019
OH PLIF Visualization of an Optically Accessible Rotating Detonation Combustor conference August 2019
An Introduction to MCMC book January 2003
Equation of state calculations by fast computing machines report March 1953
Monte Carlo sampling methods using Markov chains and their applications journal April 1970
An Adaptive Metropolis Algorithm journal April 2001
DRAM: Efficient adaptive MCMC journal December 2006
Effects of Inlet Area Ratio on Operability of an Axial Air Inlet Rotating Detonation Combustor conference July 2021