While this advice is sound in principle, it’s important to acknowledge that, in a real-world operational context, manually controlling all the variables influencing digester performance is extremely complex—if not impossible. This is where AI becomes essential. By analyzing large volumes of operational data, AI can help identify the key parameters that require attention and guide operators on what to adjust, and when, to maintain optimal conditions.
I recommend tracking the amount of digestible energy fed to the digester daily and comparing it to the biogas output. If gas production doesn’t align with the expected energy input, it may indicate a need to investigate potential inhibition. Thanks
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