Predicting commercial-scale anaerobic digestion using biomethane potential
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DOI: 10.1016/j.renene.2024.121304
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- Jay N. Meegoda & Brian Li & Kush Patel & Lily B. Wang, 2018. "A Review of the Processes, Parameters, and Optimization of Anaerobic Digestion," IJERPH, MDPI, vol. 15(10), pages 1-16, October.
- Wang, Zhengxin & Peng, Xinggan & Xia, Ao & Shah, Akeel A. & Yan, Huchao & Huang, Yun & Zhu, Xianqing & Zhu, Xun & Liao, Qiang, 2023. "Comparison of machine learning methods for predicting the methane production from anaerobic digestion of lignocellulosic biomass," Energy, Elsevier, vol. 263(PD).
- Fiore, S. & Ruffino, B. & Campo, G. & Roati, C. & Zanetti, M.C., 2016. "Scale-up evaluation of the anaerobic digestion of food-processing industrial wastes," Renewable Energy, Elsevier, vol. 96(PA), pages 949-959.
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Keywords
Anaerobic digestion; Biomethane potential; Full-scale predictive methods; Scale factors and sensitivity analysis;All these keywords.
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