Développement d'un système de contrôle de paramètres biologiques d'un bioprocédé de désulfurisation basé sur des indicateurs métabolomiques

EBI Énergie（EBI）将垃圾填埋场收集的沼气转化为可再生天然气（RNG）。沼气中H2S含量高，企业必须分两个阶段去除。第一阶段是生物脱硫过程，其将H2S浓度从平均1500 ppm降低到约30 ppmv。在第二个化学吸附阶段，EBI对沼气进行抛光，以达到必须注入天然气管道的质量。EBI在两年前开始了生物脱硫工艺的运行，因为原料沼气中的H2S从历史上的400 ppmv意外增加到1500 ppmv。最后的浓度保持稳定，EBI有义务安装预处理装置，以降低沼气升级的运营成本。生物脱硫工艺在运行良好的情况下具有较高的脱硫效率。除了微生物参数外，生物过程几乎完全自动化。企业希望开发生物指标，如代谢组学因子，以了解微生物种群的良好状态。这对于EBI来说非常重要，因为由于元素硫和生物质在吸附塔的填充床中积累而堵塞床，企业被迫停止生物过程。该生物工艺的停止对EBI来说意味着高费用，因为在更换包装材料期间必须燃烧未处理的沼气。该项目的结果将有助于确定与主要指标相关的运行参数的正确区域和错误区域。将在实验室规模上测试纠正指标偏差的措施。这将有助于开发协议，以在鲁棒和稳定的操作模式下操作生物过程。

The enterprise EBI Énergie (EBI) converts biogas collected from landfill cells into renewable natural gas (RNG). The biogas has high H2S content and the enterprise must remove it in two phases. The first phase is a biological desulphurization process which decrease the H2S concentration from an average of 1500 ppm to around 30 ppmv. In a second chemical adsorption phase, EBI polishes the biogas to reach the quality which must have to be injected in a gas pipeline. EBI started up the operation of biological desulphurization process two years ago due to an unexpected increase of H2S in raw biogas from historical 400 ppmv to up to 1500 ppmv. The last concentration stayed stable and EBI was obligated to install a pretreatment unit to decrease operating costs for biogas upgrading. The biological desulphurization process presents high removal efficiency if it is well operated. The bioprocess is almost completely automated, except for microbiological parameters. The enterprise would like to develop biological indicators, such as metabolomic factors, which let to know the good state of microbial population. This is very important for EBI because the enterprise was obligated to stop the bioprocess due to accumulation of elementary sulfur and biomass in the packed bed of adsorption tower which clogged the bed. The stop of this bioprocess represents high expenses for EBI, because must flare the untreated biogas during the changing of packing material. The results of this project will let to determine the wright and wrong regions for operating parameters linked with main indicators. Measures to correct deviations of indicators will be tested at laboratory scale. This will be helpful to develop protocols to operate the bioprocess under robust and stable operating mode.