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Biogas modeling by fuzzy comprehensive index of municipal wastewater and sludge
Environmental Progress & Sustainable Energy ( IF 2.1 ) Pub Date : 2020-07-28 , DOI: 10.1002/ep.13502
Guruprasad S. Anaokar 1 , Anjali K. Khambete 1 , Robin A. Christian 1
Affiliation  

Multiple parameter comprehensive index by fuzzy logic is an innovative approach toward environmental indexing. An attempt was carried out to express strength of municipal wastewater and sludge considering their potential for biogasification in terms of wastewater comprehensive index (WWCI) and sludge comprehensive index (SCI), respectively. Both these indices were calculated using fuzzy multiple criteria decisions making (FMCDM). Further biogas was predicted using these WWCI and SCI by multiple linear regression. A significant relation was found in suspended solids concentration of influent wastewater and digester feedstock with WWCI and SCI, respectively. Considering this linear relation, an empirical equation was developed consisting WWCI and SCI giving biogas, which was found a user friendly and precise over established biogas prediction models. As both of these indices will be obtained simply by measuring suspended solids concentration by digital inline meter at wastewater treatment plant there will be no any need to practice laborious sampling, characterization, and calculations.

中文翻译:

利用模糊综合指数对城市污水和污泥进行沼气建模

基于模糊逻辑的多参数综合索引是一种创新的环境索引方法。试图从废水综合指数(WWCI)和污泥综合指数(SCI)的角度考虑市政废水和污泥的生物气化潜力,以表达其强度。使用模糊多准则决策(FMCDM)计算这两个指数。使用这些WWCI和SCI通过多元线性回归预测了更多沼气。发现分别与WWCI和SCI相关的进水和消化池进料的悬浮固体浓度之间存在显着关系。考虑到该线性关系,开发了由WWCI和SCI给出沼气的经验方程式,发现该方程式在建立的沼气预测模型上是用户友好且精确的。
更新日期:2020-07-28
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