Hydrogen production optimization from sewage sludge supercritical gasification process using machine learning methods integrated with genetic algorithm

ZU Haq, H Ullah, MNA Khan, SR Naqvi… - … Research and Design, 2022 - Elsevier
Hydrogen production from the supercritical water gasification (SCWG) of sewage sludge
(SS) is a sustainable and efficient process. However, the challenging and intricate task for …

Prediction of hydrogen yield from supercritical gasification process of sewage sludge using machine learning and particle swarm hybrid strategy

MNA Khan, ZU Haq, H Ullah, SR Naqvi… - International Journal of …, 2024 - Elsevier
This study presents an integrated framework of machine learning models (Artificial Neural
Network, Ensembled Learning Tree, Support Vector Machine, and Gaussian Process …

Interpretable machine learning for predicting and evaluating hydrogen production via supercritical water gasification of biomass

S Zhao, J Li, C Chen, B Yan, J Tao, G Chen - Journal of Cleaner Production, 2021 - Elsevier
Supercritical water gasification (SCWG) of biomass for hydrogen production is a clean and
promising technology. However, due to many factors involved in SCWG process, including …

Gasification of food waste in supercritical water: An innovative synthesis gas composition prediction model based on Artificial Neural Networks

S Shenbagaraj, PK Sharma, AK Sharma… - International Journal of …, 2021 - Elsevier
The present study intends to develop multi-layered feed-forward back-propagation algorithm
based artificial neural network (FFBPNN) models to predict the synthesis gas (SG) …

Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening

J Li, L Pan, M Suvarna, X Wang - Chemical Engineering Journal, 2021 - Elsevier
Hydrogen production from wet organic wastes through supercritical water gasification
(SCWG) promotes sustainable development. However, it is always time-consuming and …

Supercritical water gasification of organic solid waste: H2 yield and cold gas efficiency optimization considering modeling uncertainties

Z Ma, J Wang, Y Feng, R Wang, Z Zhao… - International Journal of …, 2023 - Elsevier
Supercritical water gasification (SCWG) is one of the typical hydrothermal treatment
technologies for organic solid waste. However, the current SCWG optimization methods …

Thermodynamic analysis of hydrogen production via supercritical water gasification of coal, sewage sludge, microalga, and sawdust

C Yang, S Wang, Y Li, Y Zhang, C Cui - International Journal of Hydrogen …, 2021 - Elsevier
This study investigates the thermodynamic equilibrium analysis of the supercritical water
gasification (SCWG) involving several typical feedstocks (coal, sewage sludge, microalga …

Hydrogen yield prediction for supercritical water gasification based on generative adversarial network data augmentation

Z Ma, J Wang, Y Feng, R Wang, Z Zhao, H Chen - Applied Energy, 2023 - Elsevier
Abstract Machine learning methods can accurately predict the hydrogen yield of supercritical
water gasification (SCWG), which can provide a reference for SCWG optimization. However …

Assessment of sewage sludge gasification in supercritical water for H2-rich syngas production

D Hantoko, E Kanchanatip, M Yan, Z Weng… - Process Safety and …, 2019 - Elsevier
The potential of sewage sludge for hydrogen-rich syngas production from supercritical water
gasification (SCWG) was evaluated through thermodynamic analysis and experimental …

Supercritical water gasification of sewage sludge and combined cycle for H2 and power production–a thermodynamic study

D Hantoko, M Yan, E Kanchanatip, MA Adnan… - International Journal of …, 2019 - Elsevier
An integrated system of supercritical water gasification (SCWG) and combined cycle has
been developed for H 2 production and power generation. Sewage sludge and lignite coal …