Influences of straw alkaline pretreatment on biogas production and digestate characteristics: artificial neural network and multivariate statistical techniques
Author:
Funder
Ministry of Education – Kingdom of Saudi Arabi
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11356-024-31945-7.pdf
Reference66 articles.
1. Abdel daiem MM, Said N (2023) Assessment and contribution of biomass residues to renewable energy resources in Egypt. The Handbook of Environmental Chemistry. Springer Berlin Heidelberg, Berlin, pp 1–28
2. Abdel daiem MM, Hatata A, El-Gohary EH, Abd-Elhamid HF, Said N (2021a) Application of an artificial neural network for the improvement of agricultural drainage water quality using a submerged biofilter. Environ Sci Pollut Res 28:5854–5866. https://doi.org/10.1007/s11356-020-10964-0
3. Abdel daiem MM, Hatata A, Galal OH, Said N, Ahmed D (2021b) Prediction of biogas production from anaerobic co-digestion of waste activated sludge and wheat straw using two-dimensional mathematical models and an artificial neural network. Renew Energy 178:226–240. https://doi.org/10.1016/j.renene.2021.06.050
4. Abdel daiem MM, Hatata A, Said N (2022) Modeling and optimization of semi-continuous anaerobic co-digestion of activated sludge and wheat straw using nonlinear autoregressive exogenous neural network and seagull algorithm. Energy 241:122939. https://doi.org/10.1016/j.energy.2021.122939
5. Abdel Daiem MM, Said N (2022) Energetic, economic, and environmental perspectives of power generation from residual biomass in Saudi Arabia. Alex Eng J 61:3351–3364. https://doi.org/10.1016/j.aej.2021.08.049
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