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Energy production through organic fraction of municipal solid waste - A multiple regression modeling approach

机译:通过城市固体废物中有机成分的能源生产-多元回归建模方法

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In the 21st century, people migrated from rural to urban areas for several reasons. As a result, the populations of Indian cities are increasing day by day. On one hand, the country is developing in the field of science and technology and on the other hand, it is encountering a serious problem called 'Environmental degradation'. Due to increase in population, the generation of solid waste is also increased and is being disposed in open dumps and landfills which lead to air and land pollution. This study is attempted to generate energy out of organic solid waste by the bio- fermentation process. The study was conducted for a period of 7 months at Erode, Tamilnadu and the reading on various parameters like Hydraulic retention time, organic loading rate, sludge loading rate, influent pH, effluent pH, inlet volatile acids, out let volatile fatty acids, inlet VSS/TS ratio, outlet VSS/TS ratio, influent COD, effluent COD and % of COD removal are recorded for every 10 days. The aim of the present study is to develop a model through multiple linear regression analysis with COD as dependent variable and various parameters like HRT, OLR, SLR, influent, effluent, VSS/TS ratio, influent COD, effluent COD, etc as independent variables and to analyze the impact of these parameters on COD. The results of the model developed through step-wise regression method revealed that only four parameters Influent COD, effluent COD, VSS/TS and Influent/pH were main influencers of COD removal. The parameters influent COD and VSS/TS have positive impact on COD removal and the parameters effluent COD and Influent/pH have negative impact. The parameter Influent COD has the highest order of impact, followed by effluent COD, VSS/TS and influent pH. The other parameters HRT, OLR, SLR, INLET VFA and OUTLET VFA were not significantly contributing to the removal of COD. The implementation of the process suggested through this study might bring in dual benefit to the community, viz treatment of solid waste and creation of energy. (C) 2015 Elsevier Inc. All rights reserved.
机译:在21世纪,人们出于多种原因从农村迁移到城市。结果,印度城市的人口每天都在增加。一方面,该国在科学技术领域正在发展,另一方面,它遇到了一个严重的问题,称为“环境退化”。由于人口的增加,固体废物的产生也增加了,并被丢弃在露天垃圾场和垃圾填埋场,导致空气和土地污染。尝试通过生物发酵过程从有机固体废物中产生能量。该研究在泰米尔纳德邦的埃罗德市进行了7个月,并读取了各种参数的读数,例如水力停留时间,有机物上样速率,污泥上样速率,进水pH值,出水pH值,入口挥发性酸,出处的挥发性脂肪酸,入口每10天记录一次VSS / TS比,出口VSS / TS比,进水COD,出水COD和COD去除率。本研究的目的是通过以COD为因变量并以HRT,OLR,SLR,进水,出水,VSS / TS比,进水COD,出水COD等各种参数作为自变量的多元线性回归分析开发模型并分析这些参数对化学需氧量的影响。通过逐步回归法建立的模型结果表明,只有四个参数进水COD,出水COD,VSS / TS和进水/ pH是影响COD去除的主要因素。进水COD和VSS / TS的参数对COD的去除有积极影响,而进水COD和进水/ pH的参数则有负面影响。参数进水COD的影响顺序最高,其次是出水COD,VSS / TS和进水pH。其他参数HRT,OLR,SLR,INLET VFA和OUTLET VFA对去除COD的贡献不大。通过这项研究建议的过程的实施可能给社区带来双重好处,即固体废物的处理和能源的创造。 (C)2015 Elsevier Inc.保留所有权利。

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