Artificial intelligence methods for modeling gasification of waste biomass: a review
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
(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
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 …
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 …
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
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 …
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 …
performed using artificial neural networks with various architectures in the MATLAB …