An integrated approach based on virtual data augmentation and deep neural networks modeling for VFA production prediction in anaerobic fermentation process.
Sign Up to like & getrecommendations! Published in 2020 at "Water research"
DOI: 10.1016/j.watres.2020.116103
Abstract: Data-driven models are suitable for simulating biological wastewater treatment processes with complex intrinsic mechanisms. However, raw data collected in the early stage of biological experiments are normally not enough to train data-driven models. In this… read more here.
Keywords: fermentation process; approach; virtual data; anaerobic fermentation ... See more keywords
Effects of Electrodialysis Physical and Operating Parameters on the Performance of an Anaerobic Digestion–Electrodialysis System for Volatile Fatty Acid Production and Recovery
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DOI: 10.1021/acsomega.5c00937
Abstract: Anaerobic digestion (AD) has two key challenges for producing volatile fatty acids (VFAs) from organic-rich wastes: (i) VFA production can become inhibited by VFA/NH4 + accumulation, and (ii) VFAs must be selectively recovered. To address… read more here.
Keywords: vfa production; system; vfa nh4; recovery ... See more keywords