alexa Predictive Modeling of Biogas Production from Anaerobic Digestion of Mixed Kitchen Waste at Mesophilic Temperature
E-ISSN: 2252-5211

International Journal of Waste Resources
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Research Article

Predictive Modeling of Biogas Production from Anaerobic Digestion of Mixed Kitchen Waste at Mesophilic Temperature

Aasim Ali1*, Li Rundong2, Feroz Shah3*, RB Mahar1, Muhammad WajidIjaz4, Sallahuddin1 and Muhammad Muqueet1

1US-Pakistan Center for Advanced Studies-Water, Mehran University of Engineering & Technology, Jamshoro, 76062, Sindh, Pakistan.

2Liaoning Provincial Key Laboratory of Clean Energy, Shenyang Aerospace University, China 110136.

3Mehran University of Engineering & Technology, Jamshoro, 76062, Sindh, Pakistan.

4Environmental Protection Agency, Lahore 54000, Pakistan.

*Corresponding Authors:
Aasim Ali
US-Pakistan Center for Advanced Studies-Water
Mehran University of Engineering & Technology, Jamshoro
76062, Sindh, Pakistan
Tel: + 09415695331
E-mail: [email protected]
Feroz Shah
Mehran University of Engineering & Technology
Jamshoro, 76062, Sindh, Pakistan
Tel: + 09415695331
E-mail: [email protected]

Received Date: June 07, 2016; Accepted Date: June 29, 2016; Published Date: July 06, 2016

Citation: Ali A, Rundong L, Shah F, Mahar RB, WajidIjaz M, et al. (2016) Predictive Modeling of Biogas Production from Anaerobic Digestion of Mixed Kitchen Waste at Mesophilic Temperature. Int J Waste Resour 6:230. doi:10.4172/2252-5211.1000230

Copyright: ©Ali A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Growth of population is directly influencing the municipal solid waste generation rate. Although, kitchen waste is disposed of mostly in developing countries and its potential of biogas production is not explored well. Anaerobic digestion provides opportunity of twofold benefits i.e. pollution abutment for environmental protection and biogas generation for sharing energy load. Present study was intended to understand the biogas production process at mesophilic temperature (37°C). The organic waste from kitchen was used to make up substrate, which was anaerobically digested in an experimental continues stirred tank reactor (CSTR). Inhibition phase was detected when the graph was plotted for first 60 days and about 28th day it was inhabited. Biogas production from recovered condition was subjected to statistical analysis. Simple regression yielded a good predictive model that gave a correlation of 0.995 despite of including the inhibition phase in complete analysis. An acceptable agreement between observed and modeled biogas production (BGP) rates has vetted sanctity of regression based predictive model. Such models can also be used to keep check on digestion process for optimization of biogas yield and deciding the substrate feeding rate and concentration on time scale.

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