Multiphase coupling reaction, cracking the code of organic degradation

The core of anaerobic fermentation tanks is to build a stable anaerobic environment, and the internal microbial community achieves organic matter degradation through three-stage synergistic effects: in the hydrolysis stage, cellulose degrading bacteria and protein degrading bacteria decompose large organic molecules into small molecules such as monosaccharides and amino acids; During the acidification stage, microorganisms such as acetobacter convert small molecules into intermediate products such as volatile fatty acids and hydrogen gas; During the methane production stage, methane producing bacteria convert intermediate products into methane and carbon dioxide under strict anaerobic conditions. A case study of a certain breeding farm shows that through this process, 1 ton of livestock and poultry manure can produce 25 cubic meters of biogas, reducing carbon dioxide emissions by over 80 tons annually.

Adapt to the entire scene and build a resource utilization network

The equipment is made of 304 stainless steel material and has a double-layer insulation structure, which can withstand an environment of -20 ℃ to 60 ℃. It can operate stably in both the northwest high-altitude region and the humid and hot climate of southern China. Its modular design supports customized expansion, with processing scales ranging from small household tanks with a capacity of 5 cubic meters per day to industrial grade tanks with a capacity of 5000 cubic meters per day. In the treatment of food processing wastewater, the COD removal rate can be increased to over 90%, and the recovered biogas can meet 30% of the energy demand of the factory; In the field of municipal sludge treatment, by linking with drying equipment, the sludge reduction rate can reach 75%, and organic fertilizers that meet the NY525 standard can be produced.

Intelligent control, ushering in a new era of unmanned operation

The new generation anaerobic fermentation tank is equipped with an Internet of Things control system, which can monitor 12 key parameters such as pH value and oxidation-reduction potential in real time, and automatically adjust the mixing speed and feed amount through AI algorithms. The system predicts gas production fluctuations through machine learning, resulting in an 18% increase in biogas power generation efficiency. More noteworthy is that the equipment integrates a biogas purification module and uses pressure swing adsorption technology to increase methane concentration from 60% to 98%. It can be directly injected into natural gas pipelines, increasing the economic value of each cubic meter of biogas by three times.