Exploring the impact of hyper-quantity on the performance to access GHG emission in a full-scale A 2 O+MBR process: From predictions to implementation
Yongfeng Hu,
Yongxiang Zhang,
Ruirui Sun
et al.
Abstract:It was different to reduce the greenhouse gas (GHG) emission intensity of the wastewater treatment industry in China, owing to a lack of research and demonstration experience. This study aims to predict hyper-quantity functional performance, and provide a guidance for its real operation to assess the GHG emission in a full-scale anaerobic-anoxic-oxic membrane bioreactor (A2O + MBR) process in Beijing. The emulated result illustrated that ASM model offers broad applicability to predict functional performance du… Show more
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