Attribute based specification, comparison and selection of feed stock for anaerobic digestion using MADM approach

Journal of Hazardous Materials

Volumn 186, Issue 2-3, 2011, Pages 2009-2016

  Rao, P Venkateswara ^a   Baral, Saroj S ^a  

^a BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE   (India)

Author keywords

Anaerobic digestion; Attributes; Feed stock; Ranking; TOPSIS

Indexed keywords

ANAEROBIC DIGESTER; ATTRIBUTES; BASED SPECIFICATION; CODING SCHEME; GRAPHICAL METHODS; LINE GRAPH; MATLAB CODE; MULTIPLE ATTRIBUTE DECISION MAKING; OPTIMUM SELECTION; ORGANIC WASTES; PROCESS EFFICIENCY; RANKING; SPIDER DIAGRAMS; TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTIONS; THREE STAGES; TOPSIS;

DECISION MAKING; MATLAB; SEWAGE;

ANAEROBIC DIGESTION;

ANOXIC CONDITIONS; GRAPHICAL METHOD; INDUSTRIAL WASTE; OPTIMIZATION; RANKING;

ANAEROBIC DIGESTION; ARTICLE; BIODEGRADABILITY; BIOMASS PRODUCTION; CHEMICAL COMPOSITION; CONTROLLED STUDY; DECISION MAKING; ENVIRONMENT; FEED STOCK; LIVESTOCK; MULTIPLE ATTRIBUTE DECISION MAKING; MUNICIPAL SOLID WASTE; NONHUMAN; ORGANIC WASTE; SEWAGE TREATMENT; SOLUTION AND SOLUBILITY; STOCK ASSESSMENT; TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION; WASTE DISPOSAL; WASTE MANAGEMENT; WASTE WATER MANAGEMENT;

ANAEROBIOSIS; BIOREACTORS; DECISION MAKING, COMPUTER-ASSISTED; HYDROGEN-ION CONCENTRATION; INDICATORS AND REAGENTS; INDUSTRIAL WASTE; MODELS, STATISTICAL; MODELS, THEORETICAL; ORGANIC CHEMICALS; REFUSE DISPOSAL;

ARANEAE;

EID: 79751526418     PISSN: 03043894     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhazmat.2010.12.108     Document Type: Article

References (28)

1. Braber K. Anaerobic digestion of municipal solid waste: a modern waste disposal option on the verge of breakthrough. Biomass Bioenerg. 1995, 9:365-376.
2. Ward A.J., Hobbs P.J., Holliman P.J., Jones D.L. Optimisation of the anaerobic digestion of agricultural resources. Bioresour. Technol. 2008, 99:7928-7940.
3. Martins Das Neves L.C., Converti A., Vessoni Penna T.C. Biogas production: new trends for alternative energy sources in rural and urban zones. Chem. Eng. Technol. 2009, 32:1147-1153.
4. Steinhauser A., Doublein D. Biogas From Waste and Renewable Resources 2008, Wiley-VCH, Germany.
5. Turovskii I.S., Mathai P.K. Wastewater Sludge Processing 2006, John Wiley & Sons.
6. Biosolids treatment processes. Hand Book of Environmental Engineering 2007, vol. 6. Springer.
7. Alvarez J.A., Otero L., Lema J.M. A methodology for optimising feed composition for anaerobic co-digestion of agro-industrial wastes. Bioresour. Technol. 2010, 101:1153-1158.
8. Li R., Chen S., Li X., Lar J.S., He Y., Zhu B. Anaerobic codigestion of kitchen waste with cattle manure for biogas production. Energy Fuels 2009, 23:2225-2228.
9. Beatriz M.S., Gonzalez M.C.G., Fernández C.G., Cuetos M.J., Moran A., Gomez X. Anaerobic co-digestion of livestock wastes with vegetable processing wastes: a statistical analysis. Bioresour. Technol. 2010, 101:9479-9485.
10. Ashekuzzaman S.M., Poulsen T.G. Optimizing feed composition for improved methane yield during anaerobic digestion of cow manure based waste mixtures. Bioresour. Technol. 2010, 10.1016/j.biortech.2010.09.118.
11. Banks C.J., Chesshire M., Heaven S., Arnold R. Anaerobic digestion of source-segregated domestic food waste: performance assessment by mass and energy balance. Bioresour. Technol. 2010, 10.1016/j.biortech.2010.08.005.
12. Aiyuk S., Forrez I., De Lieven K., van haandel A., Verstraete W. Anaerobic and complementary treatment of domestic sewage in regions with hot climates-a review. Bioresour. Technol. 2006, 97:2225-2241.
13. Rao P.V., Baral S.S., Dey R., Srikanth M. Biogas generation potential by anaerobic digestion for sustainable energy development in India. Renew. Sustain. Energ. Rev. 2010, 14:2086-2094.
14. Gunaseelan V.N. Anaerobic digestion of biomass for methane production: a review. Biomass Bioenerg. 1997, 13:83-114.
15. Pohekar S.D., Ramachandran M. Application of multi-criteria decision making to sustainable energy planning-a review. Renew. Sustain. Energ. Rev. 2004, 8:365-381.
16. Rao R.V., Devim J.P. A decision making frame work model for material selection using a combined multiple attribute decision making method. Int. J. Manuf. Technol. 2008, 35:751-760.
17. Wang J.J., Jing Y.Y., Zhang C.F., Zhao J.H. Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renew. Sustain. Energ. Rev. 2009, 13:2263-2278.
18. Madlenera R., Henggeler Antunes C., Dias L.C. Assessing the performance of biogas plants with multi-criteria and data envelopment analysis. Eur. J. Oper. Res. 2009, 197:1084-1094.
19. Ovidio A.D., Pagano M. Probabilistic multicriteria analyses for optimal biomass power plant design. Electr. Power Syst. Res. 2009, 79:645-652.
20. Hanandeh A.E., Zein A.E. The development and application of multi-criteria decision-making tool with consideration of uncertainty: the selection of a management strategy for the bio-degradable fraction in the municipal solid waste. Bioresour. Technol. 2010, 101:555-561.
21. Karagiannidis A., Perkoulidis G. A multi-criteria ranking of different technologies for the anaerobic digestion for energy recovery of the organic fraction of municipal solid wastes. Bioresour. Technol. 2009, 100:2355-2360.
22. Xi B.D., Su J., Huang G.H., Qin X.S., Jiang Y.H., Huo S.L., Ji D.F., Yao B. An integrated optimization approach and multi-criteria decision analysis for supporting the waste-management system of the city of Beijing, China. Eng. Appl. Artif. Intell. 2010, 23:620-631.
23. Bhangale P.P., Agrawal V.P., Saha S.K. Attribute based specification, comparison and selection of a robot. Mech. Mach. Theory 2004, 39:1345-1366.
24. Garg R.K., Agrawal V.P., Gupta V.K. Coding evaluation and selection of thermal power plants-a MADM approach. Int. J. Electr. Power Energy Syst. 2007, 29:657-668.
25. Prabhakaran R.T.D., Babu B.J.C., Agrawal V.P. Optimum selection of a composite product system using MADM approach. Mater. Manuf. Process. 2006, 21:883-891.
26. Kumar A., Agrawal V.P. Attribute based specification, comparison and selection of electroplating system using MADM approach. Expert Syst. Appl. 2009, 36:10815-10827.
27. Agrawal V.P., Kohli V., Gupta S. Computer aided robot selection: the multiple attribute decision making approach. Int. J. Prod. Res. 1991, 29:629-1644.
28. Misi S.N., Forster C.F. Batch co-digestion of multi-component agro-wastes. Bioresour. Technol. 2001, 80:19-28.