Multi-criteria decision-making in the selection of a suitable biomass material for maximum bio-oil yield during pyrolysis

Abstract The selection of the most appropriate biomass material for maximum bio-oil conversion during pyrolysis is one of the critical issues and is a multi-criteria decision making (MCDM) problem. There are different MCDM methods based on different conceptual approach, which gives different results and selection of appropriate MCDM method for biomass material selection process becomes an intrinsic task. The study elaborates a framework which uses different MCDM methods for solving the biomass material selection issue. The proposed MCDM technique integrates different MCDM approach and the ranking obtained from different MCDM methods are also compared with each other and Spearman rank correlation coefficient is calculated between the ranks obtained to select the best solution. This study comprises of seven alternatives such as rice straw, sunflower shell, hard wood, wheat straw, sugarcane bagasse, corn cop and palm shell and seven evaluation criteria namely lignin, cellulose, hemicellulose, volatile matter, fixed carbon, moisture content and ash content to select the appropriate biomass. The results exemplified that sugarcane bagasse become the best choice for maximum bio-oil yield.

[1]  P. Madhu,et al.  Utilization possibilities of Albizia amara as a source of biomass energy for bio-oil in pyrolysis process , 2018, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.

[2]  Edmundas Kazimieras Zavadskas,et al.  Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS) , 2015, Informatica.

[3]  Michael J. Ryan,et al.  Selection of an Optimal Maintenance Strategy Under Uncertain Conditions: An Interval Type-2 Fuzzy AHP-TOPSIS Method , 2020, IEEE Transactions on Engineering Management.

[4]  P. Madhu,et al.  Recycling of wood bark of Azadirachta indica for bio-oil and chemicals by flash pyrolysis. , 2019 .

[5]  F. Collard,et al.  A review on pyrolysis of biomass constituents: Mechanisms and composition of the products obtained from the conversion of cellulose, hemicelluloses and lignin , 2014 .

[6]  J. R. San Cristóbal,et al.  Multi-criteria decision-making in the selection of a renewable energy project in Spain: the VIKOR method. , 2011 .

[7]  Mustafa Balat,et al.  Usage of Energy Sources and Environmental Problems , 2005 .

[8]  M. Gray,et al.  Pyrolysis of a wood-derived material. Effects of moisture and ash content , 1985 .

[9]  Rakesh Sehgal,et al.  Reliability evaluation and selection of rolling element bearings , 2000, Reliab. Eng. Syst. Saf..

[10]  C. Shi,et al.  Determination of hemicellulose, cellulose and lignin content using visible and near infrared spectroscopy in Miscanthus sinensis. , 2017, Bioresource technology.

[11]  Ayhan Demirbas.  Bioenergy, Global Warming, and Environmental Impacts , 2004 .

[12]  Chandra Prakash Garg,et al.  An integrated framework for sustainable supplier selection and evaluation in supply chains , 2017 .

[13]  Manoj Mathew,et al.  Comparison of new multi-criteria decision making methods for material handling equipment selection , 2018 .

[14]  W. Tsai,et al.  Fast pyrolysis of rice husk: Product yields and compositions. , 2007, Bioresource technology.

[15]  P. Madhu,et al.  Production and Upgradation of Cotton Shell Pyrolytic Oil for Biofuel from Flash Pyrolysis by Fluidized Bed Reactor , 2015 .

[16]  P. Madhu,et al.  Conversion of cotton residues to bio-oil and chemicals through flash pyrolysis in a fluidised bed reactor , 2018 .

[17]  Tien-Chin Wang,et al.  Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment , 2007, Expert Syst. Appl..

[18]  Shiro Saka,et al.  Cellulose–hemicellulose and cellulose–lignin interactions in wood pyrolysis at gasification temperature , 2007 .

[19]  Ali Jahan,et al.  Material selection for femoral component of total knee replacement using comprehensive VIKOR , 2011 .

[20]  Majid Behzadian,et al.  Selection of the Best Module Design for Ultrafiltration ( UF ) Membrane in Dairy Industry : An Application of AHP and PROMETHEE , 2010 .

[21]  Yansong Zhang,et al.  Thermal interaction analysis of isolated hemicellulose and cellulose by kinetic parameters during biomass pyrolysis , 2020 .

[22]  Haiping Yang,et al.  Characteristics of hemicellulose, cellulose and lignin pyrolysis , 2007 .

[23]  P. A. Pilavachi,et al.  A study of lignocellulosic biomass pyrolysis via the pyrolysis of cellulose, hemicellulose and lignin , 2014 .

[24]  Moonmoon Hiloidhari,et al.  Bioenergy potential from crop residue biomass in India , 2014 .

[25]  Shankar Chakraborty,et al.  A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection , 2011 .

[26]  Jun Yi. Yeo,et al.  Comparative studies on the pyrolysis of cellulose, hemicellulose, and lignin based on combined kinetics , 2017, Journal of the Energy Institute.

[27]  Zhong-yang Luo,et al.  Influence of the interaction of components on the pyrolysis behavior of biomass. , 2011 .

[28]  R. Venkata Rao,et al.  Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods , 2013 .

[29]  Sadriye Küçükbayrak,et al.  Effect of pyrolysis on the proximate and ultimate analysis of lignite , 1989 .

[30]  P. Madhu,et al.  Flash Pyrolysis of Lemon Grass (Cymbopogon flexuosus) for Bio-oil Production in an Electrically Heated Fluidized Bed Reactor , 2018 .

[31]  Irfan Ertugrul,et al.  Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods , 2009, Expert Syst. Appl..

[32]  Manoj Mathew,et al.  Interval valued multi criteria decision making methods for the selection of flexible manufacturing system , 2019, International Journal of Data and Network Science.

[33]  Somasundaram Kumanan,et al.  Application of Hybrid VIKOR Model in Selection of Maintenance Strategy , 2012 .

[34]  V. P. Agrawal,et al.  A digraph approach to TQM evaluation of an industry , 2004 .

[35]  P. Vincke,et al.  Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making , 1985 .

[36]  D. Vamvuka,et al.  Bio‐oil, solid and gaseous biofuels from biomass pyrolysis processes—An overview , 2011 .

[37]  S. Durairaj,et al.  SELECTION OF ALTERNATE FUEL FOR ELECTRICAL POWER GENERATOR USING HYBRID MULTI CRITERIA DECISION MAKING TECHNIQUE , 2016 .

[38]  A. Bridgwater.  Review of fast pyrolysis of biomass and product upgrading , 2012 .

[39]  S. Yaman.  Pyrolysis of biomass to produce fuels and chemical feedstocks , 2004 .

[40]  Lazim Abdullah,et al.  Application of PROMETHEE method for green supplier selection: a comparative result based on preference functions , 2018, Journal of Industrial Engineering International.

[41]  J. Deng,et al.  Introduction to Grey system theory , 1989 .

[42]  Bruce E. Waymack,et al.  Pyrolysis behavior and kinetics of biomass derived materials , 2002 .

[43]  R. Venkata Rao,et al.  Selection, identification and comparison of industrial robots using digraph and matrix methods , 2006 .

[44]  Gin-Shuh Liang,et al.  Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment , 2011, Expert Syst. Appl..

[45]  L. Anojkumar,et al.  Comparative analysis of MCDM methods for pipe material selection in sugar industry , 2014, Expert Syst. Appl..

[46]  Liansheng Tan,et al.  A graph-based proactive fault identification approach in computer networks , 2005, Comput. Commun..

[47]  P. Madhu,et al.  Biofuel production of neem wood bark (Azadirachta indica) through flash pyrolysis in a fluidized bed reactor and its chromatographic characterization , 2019, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.

[48]  Ying-Ming Wang,et al.  Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment , 2006, Expert Syst. Appl..

[49]  M. Matheswaran,et al.  Selection of biomass materials for bio-oil yield: a hybrid multi-criteria decision making approach , 2018, Clean Technologies and Environmental Policy.

[50]  J. Lange.  Lignocellulose conversion: an introduction to chemistry, process and economics , 2007 .

[51]  Ravi Shankar,et al.  Quantification of risk mitigation environment of supply chains using graph theory and matrix methods , 2007 .

[52]  Mohammad. Rasul,et al.  Biofuels Production through Biomass Pyrolysis —A Technological Review , 2012 .

[53]  Prasenjit Chatterjee,et al.  Selection of materials using multi-criteria decision-making methods with minimum data , 2013 .

[54]  Benjamin L. Legendre,et al.  Biomass Pyrolysis Kinetics: A Comparative Critical Review with Relevant Agricultural Residue Case Studies , 2011 .

[55]  Ali Shanian,et al.  TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell , 2006 .

[56]  K. L. Edwards,et al.  VIKOR method for material selection problems with interval numbers and target-based criteria , 2013 .

[57]  O. P. Gandhi,et al.  Failure cause analysis of machine tools using digraph and matrix methods , 2002 .