Artificial intelligence methods for modeling gasification of waste biomass: a review

F Alfarra, HK Ozcan, P Cihan, A Ongen… - Environmental …, 2024 - Springer
Gasification is a highly promising thermochemical process that shows considerable potential
for the efficient conversion of waste biomass into syngas. The assessment of the feasibility …

Optimization and evaluation of a municipal solid waste-to-energy system using taguchi technique in a tri-generation system based on gas turbine with air and steam …

Z Wang, Z Su, V Goyal, NB Kumar, M Dahari… - Process Safety and …, 2023 - Elsevier
There is a recognized need for treating the municipal solid waste which causes serious
environmental problems. There has been substantial research undertaken on the role of …

Co-pyrolysis of microalgae residue and sewage sludge: An in-depth characterization of kinetics, drivers, and gas-oil-char behaviors

A Kumar, IA Jamro, J Wang, A Ullah, L Kumari… - Journal of Analytical and …, 2024 - Elsevier
Environmental concerns linked to fossil fuels, including but not limited to global warming,
climate change, water and soil acidification, are compelling countries to investigate and …

Waste-to-Energy technologies for municipal solid waste management: Bibliometric review, life cycle assessment, and energy potential case study

C Chicaiza-Ortiz, P Peñafiel-Arcos… - Journal of Cleaner …, 2024 - Elsevier
Inadequate municipal solid waste (MSW) management threatens public health and the
environment. The waste-to-energy (WtE) route allows the production of electricity, heat, and …

Investigation of optimum H2 production from date palm waste leaves using different modeling tools

IA Jamro, A Kumar, S Khoso, M Ahmad… - International Journal of …, 2023 - Elsevier
Globally, the productive utilization of biomass has paid serious attention to fulfilling the
energy requirements laid out by the international standards, as to reduce related carbon …

[HTML][HTML] Study on emission factor and reduction potential of organic solid waste gasification process

D Peng, X Xiang, Z Deng, X Zhou, B Wang… - Case Studies in Thermal …, 2024 - Elsevier
This paper conducts an in-depth study on the gasification treatment of Organic Solid Waste
(OSW) and its carbon emissions, intending to fill the gap in the existing literature regarding …

[HTML][HTML] Advanced dual-artificial neural network system for biomass combustion analysis and emission minimization

K Postawa, K Klimek, G Maj, M Kapłan… - Journal of Environmental …, 2024 - Elsevier
Management of agricultural waste is an important part of plantation operations. Not all
wastes are suitable for composting or the process is simply inefficient and time-consuming …

Exploring a multi-output temporal convolutional network driven encoder-decoder framework for ammonia nitrogen forecasting

S Sheng, K Lin, Y Zhou, H Chen, Y Luo, S Guo… - Journal of …, 2023 - Elsevier
Artificial neural networks exhibit significant advantages in terms of learning capability and
generalizability, and have been increasingly applied in water quality prediction. Through …

[PDF][PDF] Assessment of groundwater quality in rural areas of taluka dokri, sindh, pakistan, through physicochemical parameters

S Ahmed, MZ Jamali, S Khoso, F Azeem… - International Journal of …, 2022 - academia.edu
Groundwater quality is at high risk throughout the world including Sindh province in
Pakistan. A sheer growth in global population, urbanization, mixing of sewage and industrial …

Prediction of COD in industrial wastewater treatment plant using an artificial neural network

Ö Çimen Mesutoğlu, O Gök - Scientific Reports, 2024 - nature.com
In this investigation, the modeling of the Aksaray industrial wastewater treatment plant was
performed using artificial neural networks with various architectures in the MATLAB …