Maritime Faculty, Department of Naval Architecture and Marine Engineering, Bursa Technical University, 16310, Bursa, Turkey.
Civil Engineering Faculty, Environmental Engineering Department, Yildiz Technical University, Istanbul, Turkey.
Environ Monit Assess. 2022 Aug 10;194(9):661. doi: 10.1007/s10661-022-10330-2.
As the transition to renewable energy systems is accelerating, anaerobic digestion, which is one of the methods of energy recovery from organic substrates, continues to be studied with great interest by scientists. Anaerobic digestion research and applications are mostly carried out with biochemical methane potential (BMP) tests to decide the methane potency of sewage sludge, energy crops, and organic wastes. Unlike long and costly continually reactor experiments, actually, BMP tests are cumulative and can be performed with a relatively low investment of materials, technical labor, and also time. For the BMP to give accurate results, the effect of all the tools and technical parameters used in the implementation of the BMP should be well understood. In such situations, it is very useful to apply fuzzy logic methods in multi-criteria decision-making stages when more than one parameter changes at the same time. Therefore, in this study, fifteen parameters were determined and analyzed with the fuzzy DEMATEL (decision-making trial and evaluation laboratory) method to understand the cause-effect mechanism of the technical parameters of BMP. As a result of these analyses, it was seen that the material of the reactor (r-c value of 0.55), the particle size (r-c value of 0.43), the effect of mixing (r-c value of 0.32), and the amount of the total solids (TSA) (r-c value of 0.25) had a high effect in the causal sense. It was observed that the first-order parameter (material of reactor) was 27% stronger than the second-order (the particle size) parameter in terms of causality. Likewise, the second-order parameter is 34% stronger than the third-order parameter (the effect of mixing) in terms of cause effect. In addition, it was understood that the most effective parameters in the mechanism of effect were pH (r + c value of 3.41), C/N ratio (r + c value of 3.26), and temperature (r + c value of 3.07), respectively. Besides, high methane yield is seen in mesophilic conditions. The average cumulative biogas yield of the reactor is 282.1 NmL/g VS. The highest percentage of methane formed in the biogas occurred on the 21st day. Briefly, this study is important to provide a facilitating way for researchers working on BMP to understand the cause-effect mechanism of system technical requirements.
随着向可再生能源系统的转变正在加速,厌氧消化作为从有机基质中回收能源的方法之一,继续受到科学家的极大关注。厌氧消化的研究和应用主要是通过生化甲烷潜能(BMP)测试来决定污水污泥、能源作物和有机废物的甲烷潜力。与漫长而昂贵的连续反应器实验不同,实际上,BMP 测试是累积的,可以用相对较低的材料、技术劳动力和时间投资来进行。为了使 BMP 得到准确的结果,应该很好地理解在实施 BMP 过程中使用的所有工具和技术参数的影响。在这种情况下,当同时有多个参数发生变化时,在多准则决策阶段应用模糊逻辑方法非常有用。因此,在这项研究中,确定并分析了十五个参数,应用模糊决策试验和评价实验室(DEMATEL)方法来了解 BMP 技术参数的因果关系机制。这些分析的结果表明,反应器的材料(r-c 值为 0.55)、粒径(r-c 值为 0.43)、混合效果(r-c 值为 0.32)和总固体量(TSA)(r-c 值为 0.25)具有因果关系。观察到,一阶参数(反应器材料)在因果关系方面比二阶参数(粒径)强 27%。同样,二阶参数在因果关系方面比三阶参数(混合效果)强 34%。此外,人们了解到,在影响机制中最有效的参数是 pH(r + c 值为 3.41)、C/N 比(r + c 值为 3.26)和温度(r + c 值为 3.07)。此外,在中温条件下可以看到高甲烷产量。反应器的平均累积沼气产量为 282.1 NmL/g VS。沼气中形成的甲烷最高百分比出现在第 21 天。简而言之,这项研究对于为从事 BMP 工作的研究人员提供一种便利的方式来了解系统技术要求的因果关系机制非常重要。