Dry-Low Emission Gas Turbine Technology: Recent Trends and Challenges

M Faqih, MB Omar, R Ibrahim, BAA Omar - Applied Sciences, 2022 - mdpi.com
Dry-low emission (DLE) is one of the cleanest combustion types used in a gas turbine. DLE
gas turbines have become popular due to their ability to reduce emissions by operating in …

Predicting the NOx emissions of low heat value gas rich-quench-lean combustor via three integrated learning algorithms with Bayesian optimization

P Yan, W Fan, R Zhang - Energy, 2023 - Elsevier
With the increased attention to low heat value gas fuels in recent years, research on NOx
emissions from the combustors of low heat value gas fuels is necessary. This study …

Supervised learning-based multi-site lean blowout prediction for dry low emission gas turbine

AA Bahashwan, R Ibrahim, M Omar… - Expert Systems with …, 2024 - Elsevier
Current dry low emission (DLE) gas turbines have extremely low nitrogen oxides (NOx)
emissions, allowing them to comply with stringent environmental regulations. The ultra-low …

[HTML][HTML] Deep Learning-Assisted Smartphone-Based Electrochemiluminescence Visual Monitoring Biosensor: A Fully Integrated Portable Platform

M Bhaiyya, P Rewatkar, A Pimpalkar, D Jain… - Micromachines, 2024 - mdpi.com
A novel, portable deep learning-assisted smartphone-based electrochemiluminescence
(ECL) cost-effective (~ 10$) sensing platform was developed and used for selective …

High-fidelity numerical simulation of longitudinal thermoacoustic instability in a high-pressure subscale rocket combustor

VR Hasti, R Ranjan - Aerospace Science and Technology, 2024 - Elsevier
A detailed analysis of thermoacoustic combustion instability in a subscale rocket combustor
at high pressure is reported in this paper using the high-fidelity large-eddy simulation (LES) …

[HTML][HTML] Denoising and fuel spray droplet detection from light-scattered images using deep learning

VR Hasti, D Shin - Energy and AI, 2022 - Elsevier
A deep learning-based method for denoising and detecting the gas turbine engine spray
droplets in the light-scattered image (Mie scattering) is proposed for the first time. A modified …

Application of data‐driven RANS model in simulating indoor airflow

B Chen, S Liu, J Liu, N Jiang, Q Chen - Indoor air, 2022 - Wiley Online Library
The indoor environment has a significant impact on our wellbeing. Accurate prediction of the
indoor air distribution can help to create a good indoor environment. Reynolds‐averaged …

Computation of conventional and alternative jet fuel sensitivity to lean blowout

VR Hasti, P Kundu, S Som, SH Won, FL Dryer… - Journal of the Energy …, 2022 - Elsevier
Abstract Large Eddy Simulations (LES) are performed to compute the sensitivity of a
conventional (A-2) and an alternate bio-jet (C-1) fuel to Lean Blowout (LBO). A realistic …

Numerical simulations and analysis of the turbulent flow field in a practical gas turbine engine combustor

VR Hasti, P Kundu, S Som… - Proceedings of the …, 2022 - journals.sagepub.com
The turbulent flow field in a practical gas turbine combustor is very complex because of the
interactions between various flows resulting from components like multiple types of swirlers …

Prediction of Flame Type and Liftoff Height of Fuel Jets in Turbulent Hot Coflow Using Machine Learning Methods

J Liu, G Liu, J Wu, G Zhang, Y Wu - Combustion Science and …, 2024 - Taylor & Francis
Precise predictions of flame types and autoignition locations of jet flames in hot turbulent
coflow are crucial for the stable and efficient operations of many advanced combustors. In …