The future agricultural biogas plant in Germany: A vision

S Theuerl, C Herrmann, M Heiermann, P Grundmann… - Energies, 2019 - mdpi.com
After nearly two decades of subsidized and energy crop-oriented development, agricultural
biogas production in Germany is standing at a crossroads. Fundamental challenges need to …

[HTML][HTML] Innovative artificial neural network approach for integrated biogas–wastewater treatment system modelling: Effect of plant operating parameters on process …

P Sakiewicz, K Piotrowski, J Ober, J Karwot - Renewable and Sustainable …, 2020 - Elsevier
An anaerobic fermentation process for biogas production integrated with wastewater
purification in a modern wastewater treatment plant (WWTP) of designed nominal capacity …

Advances in machine learning for high value-added applications of lignocellulosic biomass

H Ge, J Zheng, H Xu - Bioresource Technology, 2023 - Elsevier
Lignocellulose can be converted into biofuel or functional materials to achieve high value-
added utilization. Biomass utilization process is complex and multi-dimensional. This paper …

[PDF][PDF] Optimization of a 660 MW e supercritical power plant performance—a case of industry 4.0 in the data-driven operational management part 1. Thermal efficiency

WM Ashraf, GM Uddin, SM Arafat, S Afghan… - …, 2020 - publications.rwth-aachen.de
This paper presents a comprehensive step-wise methodology for implementing industry 4.0
in a functional coal power plant. The overall efficiency of a 660 MWe supercritical coal-fired …

Artificial neural networks for bio-based chemical production or biorefining: A review

B Pomeroy, M Grilc, B Likozar - Renewable and Sustainable Energy …, 2022 - Elsevier
Abstract Machine learning through artificial neural networks have emerged as vital tools to
predict chemical behavior for many of the most recognized biomass valorization processes …

Optimization of biogas yield from anaerobic co-digestion of corn-chaff and cow dung digestate: RSM and python approach

SC Iweka, KC Owuama, JL Chukwuneke, OA Falowo - Heliyon, 2021 - cell.com
The utilization of various feedstocks of unique characteristics in producing biogas could
potentially enhance the application of clean fuel from biomass wastes. Two modelling tools …

Digestate as a source of nutrients: nitrogen and its fractions

W Czekała - Water, 2022 - mdpi.com
Due to fossil-fuel-limitation constraints, new energy sources are being sought. On the other
hand, organic fertilizers that can be used in agriculture are increasingly being sought. One of …

Applying artificial neural networks for systematic estimation of degree of fouling in heat exchangers

E Davoudi, B Vaferi - Chemical Engineering Research and Design, 2018 - Elsevier
Deposition of undesired materials on the heat transfer surface is one the most challenging
problems for application of heat exchangers. Experimental measurements of degree of …

A systematic study to achieve cleaner and sustainable manufacturing process by using bio-degradable dielectrics

K Ishfaq, N Ahmad, MA Maqsood, MU Hameed… - Sustainable Materials …, 2023 - Elsevier
Inconel 600 is widely used in aeronautical and aerospace industry owing to its excellent
mechanical, wear and corrosion characteristics. This high strength alloy requires a special …

H2S mitigation for biogas upgrading in a full-scale anaerobic digestion process by using artificial neural network modeling

NH Seyedlar, SM Zamir, M Nosrati, ER Rene - Renewable Energy, 2024 - Elsevier
Biogas production by anaerobic digestion (AD) has emerged as a prominent bio-renewable
energy source in recent years. However, the process also produces undesirable by …