Abstract
In the current period of energy development, it is very complex to produce energy from agricultural wastes due to the involvement of multiple criteria such as social, economical and environmental factors. In this study, a hybrid multi-criteria decision-making (MCDM) model based on the weight obtained from analytical hierarchy process (FAHP) has been utilized for ranking. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Evaluation based on Distance from Average Solution (EDAS) are proposed to evaluate the possibilities of utilizing locally available biomass. For this purpose, a number of criteria are defined from the viewpoint of yielding maximum bio-oil during pyrolysis. The proposed methods are having excellent agreement with each other, and they are exactly matched with the experimental results. This study consists of seven biomass alternatives with seven evaluation criteria. Out of seven selected biomass materials, sugarcane bagasse is ranked top. The experimental results confirmed the prediction with maximum bio-oil yield of 48.5 wt% obtained from sugarcane bagasse. At the end of the study, the obtained bio-oil from top ranked biomass material was analysed for physical, elemental and chemical compositions using Fourier-transform infrared (FTIR) spectroscopy and gas chromatography (GC) for its utility assessment. This study gives new insights into decision-making, specifically thermochemical conversion process.
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References
Ravi R, Pachamuthu S, Kasinathan P (2020) Computational and experimental investigation on effective utilization of waste heat from diesel engine exhaust using a fin protracted heat exchanger. Energy 117489
Ravi R, Pachamuthu S (2020) Experimental investigation on innovatory waste heat recovery system impacts on DIESEL engine exhaust emissions. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects: https://doi.org/10.1080/15567036.2020.1758247
Aras H, Erdoğmuş Ş, Koç E (2004) Multi-criteria selection for a wind observation station location using analytic hierarchy process. Renew Energy 29(8):1383–1392
Lee SK, Mogi G, Kim JW (2009) Decision support for prioritizing energy technologies against high oil prices: a fuzzy analytic hierarchy process approach. J Loss Prev Process Ind 22(6):915–920
Zhao N, Li BX (2016) The effect of sodium chloride on the pyrolysis of rice husk. Appl Energy 178:346–352
Bridgwater AV (2003) Renewable fuels and chemicals by thermal processing of biomass. Chem Eng J 91(2–3):87–102
McKendry P (2002) Energy production from biomass (part 1): overview of biomass. Bioresour Technol 83(1):37–46
Gercel HF (2002) The production and evaluation of bio-oils from the pyrolysis of sunflower-oil cake. Biomass Bioenergy 23(4):307–314
Çağlar A, Demirbaş A (2002) Conversion of cotton cocoon shell to hydrogen rich gaseous products by pyrolysis. Energy Convers Manag 43(4):489–497
Shrivastava P, Khongphakdi P, Palamanit A, Kumar A, Tekasakul P (2020) Investigation of physicochemical properties of oil palm biomass for evaluating potential of biofuels production via pyrolysis processes. Biomass Conversion and Biorefinery. https://doi.org/10.1007/s13399-019-00596-x
Ly HV, Kim J, Kim SS (2013) Pyrolysis characteristics and kinetics of palm fiber in a closed reactor. Renew Energy 54:91–95
El Bassam N (2010) Handbook of bioenergy crops: a complete reference to species, development and applications. Routledge
Kan T, Strezov V, Evans TJ (2016) Lignocellulosic biomass pyrolysis: a review of product properties and effects of pyrolysis parameters. Renew Sust Energ Rev 57:1126–1140
Gani A, Naruse I (2007) Effect of cellulose and lignin content on pyrolysis and combustion characteristics for several types of biomass. Renew Energy 32(4):649–661
Madhu P, Kanagasabapathy H, Manickam IN (2018) Conversion of cotton residues to bio-oil and chemicals through flash pyrolysis in a fluidised bed reactor. International Journal of Energy Technology and Policy 14(1):20–33
Sowmya Dhanalakshmi C, Madhu P (2019) Utilization possibilities of Albizia amara as a source of biomass energy for bio-oil in pyrolysis process. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 41(15):1908–1919
Afgan NH, Carvalho MG (2002) Multi-criteria assessment of new and renewable energy power plants. Energy 27(8):739–755
Madhu P, Kumar CN, Anojkumar L, Matheswaran M (2018) Selection of biomass materials for bio-oil yield: a hybrid multi-criteria decision making approach. Clean Techn Environ Policy 20(6):1377–1384
Arazo RO, Genuino DAD, de Luna MDG, Capareda SC (2017) Bio-oil production from dry sewage sludge by fast pyrolysis in an electrically-heated fluidized bed reactor. Sustainable Environment Research 27(1):7–14
Liu Z, Wang L, Zhang Y, Li Y, Li Z, Cai H (2017) Cellulose-lignin and xylan-lignin interactions on the formation of lignin-derived phenols in pyrolysis oil. BioResources 12(3):4958–4971
Triantaphyllou E, Kovalerchuk B, Mann L, Knapp GM (1997) Determining the most important criteria in maintenance decision making. J Qual Maint Eng 3(1):16–28
Chan FTS, Kumar N, Tiwari MK, Lau HCW, Choy KL (2008) Global supplier selection: a fuzzy-AHP approach. Int J Prod Res 46(14):3825–3857
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353
Bellman RE, Zadeh LA (1970) Decision-making in a fuzzy environment. Manag Sci 17(4):B-141
Tzeng GH, Huang JJ (2011) Multiple attribute decision making: methods and applications. CRC press
Kaya İ, Çolak M, Terzi F (2019) A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making. Energy Strategy Reviews 24:207–228
Joshi D, Kumar S (2016) Interval-valued intuitionistic hesitant fuzzy Choquet integral based TOPSIS method for multi-criteria group decision making. Eur J Oper Res 248(1):183–191
Hwang C, Yoon K (1981) Multiple attribute decision making: methods and applications, a state of the art survey. Springer, New York
Kirubakaran B, Ilangkumaran M (2016) Selection of optimum maintenance strategy based on FAHP integrated with GRA–TOPSIS. Ann Oper Res 245(1–2):285–313
Wang Y-M, Elhag TMS (2006) Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Syst Appl 31(2):309–319
Ding S-H, Kamaruddin S, Azid IA (2014) Maintenance policy selection model—a case study in the palm oil industry. J Manuf Technol Manag 25(3):415–435
Pourjavad E, Shirouyehzad H, Shahin A (2013) Selecting maintenance strategy in mining industry by analytic network process and TOPSIS. Int J Ind Syst Eng 15(2):171–192
Ilangkumaran M, Kumanan S (2009) Selection of maintenance policy for textile industry using hybrid multi-criteria decision making approach. J Manuf Technol Manag 20(7):1009–1022
Hung CC, Chen LH (2009) A fuzzy TOPSIS decision making model with entropy weight under intuitionistic fuzzy environment. In Proceedings of the international multiconference of engineers and computer scientists (Vol. 1, pp. 13-16). IMECS Hong Kong
Ramesh N, Somasundaram M (2020) Thermochemical conversion of Parthenium hysterophorus biomass for bio-oil synthesis: kinetics and techno-economic analysis. https://doi.org/10.1007/s13399-020-00790-2
Hernando H, Moreno I, Fermoso J, Ochoa-Hernández C, Pizarro P, Coronado JM, Čejka J, Serrano DP (2017) Biomass catalytic fast pyrolysis over hierarchical ZSM-5 and Beta zeolites modified with Mg and Zn oxides. Biomass Conversion and Biorefinery 7(3):289–304
Mostafazadeh AK, Solomatnikova O, Drogui P, Tyagi RD (2018) A review of recent research and developments in fast pyrolysis and bio-oil upgrading. Biomass Conversion and Biorefinery 8(3):739–773
Jin X, Chen X, Shi C, Li M, Guan Y, Yu CY, Yamada T, Sacks EJ, Peng J (2017) Determination of hemicellulose, cellulose and lignin content using visible and near infrared spectroscopy in Miscanthus sinensis. Bioresour Technol 241:603–609
Durairaj S, Sathiyasekar K, Ilangkumaran M (2016) Selection of alternate fuel for electrical power generator using hybrid multi criteria decision making technique. University Politehnica of Bucharest Scientific Bulletin Series C-Electrical Engineering and Computer Science 78(1):247–258
Sakthivel G, Ilangkumaran M, Ikua BW (2016) Selection of optimum fish oil fuel blend to reduce the greenhouse gas emissions in an IC engine—a hybrid multiple criteria decision aid approach. International journal of green energy 13(14):1517–1533
Wang JJ et al (2008) A fuzzy multi-criteria decision-making model for trigeneration system. Energy Policy 36:3823–3832
Keshavarz Ghorabaee M, Zavadskas EK, Olfat L, Turskis Z (2015) Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica 26(3):435–451
Demirbas A (2004) Effects of temperature and particle size on bio-char yield from pyrolysis of agricultural residues. J Anal Appl Pyrolysis 72(2):243–248
Garcia-Perez M, Wang XS, Shen J, Rhodes MJ, Tian F, Lee WJ, Wu H, Li CZ (2008) Fast pyrolysis of oil mallee woody biomass: effect of temperature on the yield and quality of pyrolysis products. Ind Eng Chem Res 47(6):1846–1854
Madhu P, Kanagasabapathy H, Manickam IN (2016) Flash pyrolysis of palmyra palm (Borassus flabellifer) using an electrically heated fluidized bed reactor. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 38(12):1699–1705
Madhu P, Manickam IN, Kanagasabapathy H (2015) Production and upgradation of cotton shell pyrolytic oil for biofuel from flash pyrolysis by fluidized bed reactor. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 85(3):457–462
Abnisa F, Daud WW, Husin WNW, Sahu JN (2011) Utilization possibilities of palm shell as a source of biomass energy in Malaysia by producing bio-oil in pyrolysis process. Biomass Bioenergy 35(5):1863–1872
Madhu P, Livingston TS, Kanagasabapathy H (2018) Flash pyrolysis of lemon grass (Cymbopogon flexuosus) for bio-oil production in an electrically heated fluidized bed reactor. Waste and Biomass Valorization 9(6):1037–1046
Sowmya Dhanalakshmi C, Madhu P (2019) Biofuel production of neem wood bark (Azadirachta indica) through flash pyrolysis in a fluidized bed reactor and its chromatographic characterization. Energy sources, part a: recovery, utilization, and environmental effects. https://doi.org/10.1080/15567036.2019.1624893
Natarajan E, Ganapathy SE (2009) Pyrolysis of rice husk in a fixed bed reactor. World Acad Sci Eng Technol 56:504–508
Şensöz S, Demiral İ, Gerçel HF (2006) Olive bagasse (Olea europea L.) pyrolysis. Bioresour Technol 97(3):429–436
Frenklach M, Packard A, Seiler P, Feeley R (2004) Collaborative data processing in developing predictive models of complex reaction systems. Int J Chem Kinet 36(1):57–66
Liang GS, Wang MJJ (1993) A fuzzy multi-criteria decision-making approach for robot selection. Robot Comput Integr Manuf 10(4):267–274
Mathew M, Chakrabortty RK, Ryan MJ (2020) Selection of an optimal maintenance strategy under uncertain conditions: an interval type-2 fuzzy AHP-TOPSIS method. IEEE Trans Eng Manag:1–14
Varma AK, Mondal P (2017) Pyrolysis of sugarcane bagasse in semi batch reactor: effects of process parameters on product yields and characterization of products. Ind Crop Prod 95:704–717
Biswas B, Pandey N, Bisht Y, Singh R, Kumar J, Bhaskar T (2017) Pyrolysis of agricultural biomass residues: comparative study of corn cob, wheat straw, rice straw and rice husk. Bioresour Technol 237:57–63
Guedes RE, Luna AS, Torres AR (2018) Operating parameters for bio-oil production in biomass pyrolysis: a review. J Anal Appl Pyrolysis 129:134–149
Demirbas A (2004) Effect of initial moisture content on the yields of oily products from pyrolysis of biomass. J Anal Appl Pyrolysis 71(2):803–815
Polin JP, Peterson CA, Whitmer LE, Smith RG, Brown RC (2019) Process intensification of biomass fast pyrolysis through autothermal operation of a fluidized bed reactor. Appl Energy 249:276–285
Pecha MB, Arbelaez JIM, Garcia-Perez M, Chejne F, Ciesielski PN (2019) Progress in understanding the four dominant intra-particle phenomena of lignocellulose pyrolysis: chemical reactions, heat transfer, mass transfer, and phase change. Green Chem 21(11):2868–2898
Islam MN, Beg MRA, Islam MR (2005) Pyrolytic oil from fixed bed pyrolysis of municipal solid waste and its characterization. Renew Energy 30(3):413–420
Solantausta Y, Nylund NO, Westerholm M, Koljonen T, Oasmaa A (1993) Wood-pyrolysis oil as fuel in a diesel-power plant. Bioresour Technol 46(1–2):177–188
Jahirul MI, Rasul MG, Chowdhury AA, Ashwath N (2012) Biofuels production through biomass pyrolysis—a technological review. Energies 5(12):4952–5001
Rajesh R, Senthilkumar P, Mohanraj K (2018) Design of heat exchanger for exhaust heat recovery of a single cylinder compression ignition engine. J Eng Sci Technol 13(7):2153–2165
Shivaprasad KV, Rajesh R, Anteneh Wogasso W, Nigatu B, Addisu F (2018) Usage of hydrogen as a fuel in spark ignition engine. In IOP Conference Series: Materials Science and Engineering (Vol. 376, no. 012037, pp. 1-10)
Oasmaa A, Czernik S (1999) Fuel oil quality of biomass pyrolysis oils state of the art for the end users. Energy Fuel 13(4):914–921
Fadhil AB (2017) Evaluation of apricot (Prunus armeniaca L.) seed kernel as a potential feedstock for the production of liquid bio-fuels and activated carbons. Energy Convers Manag 133:307–317
Ateş F, Işıkdağ MA (2009) Influence of temperature and alumina catalyst on pyrolysis of corncob. Fuel 88(10):1991–1997
Mullen CA, Boateng AA (2008) Chemical composition of bio-oils produced by fast pyrolysis of two energy crops. Energy Fuel 22(3):2104–2109
Islam MN, Zailani R, Ani FN (1999) Pyrolytic oil from fluidised bed pyrolysis of oil palm shell and itscharacterisation. Renew Energy 17(1):73–84
Cao Q, Xie KC, Bao WR, Shen SG (2004) Pyrolytic behavior of waste corn cob. Bioresour Technol 94(1):83–89
Tahir MH, Mahmood MA, Çakman G, Ceylan S (2020) Pyrolysis of oil extracted safflower seeds: product evaluation, kinetic and thermodynamic studies. Bioresour Technol 314:123699
Tsai WT, Lee MK, Chang YM (2007) Fast pyrolysis of rice husk: product yields and compositions. Bioresour Technol 98(1):22–28
Madhu P, Matheswaran MM, Periyanayagi G (2017) Optimization and characterization of bio-oil produced from cotton shell by flash pyrolysis using artificial neural network. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 39(23):2173–2180
Madhu P, Kanagasabapathy H, Manickam IN (2016) Cotton shell utilization as a source of biomass energy for bio-oil by flash pyrolysis on electrically heated fluidized bed reactor. J Mater Cycles Waste Manag 18(1):146–155
Guo X, Wang S, Guo Z, Liu Q, Luo Z, Cen K (2010) Pyrolysis characteristics of bio-oil fractions separated by molecular distillation. Appl Energy 87(9):2892–2898
Milne T, Agblevor F, Davis M, Deutch S, Johnson D (1997) A review of the chemical composition of fast-pyrolysis oils from biomass. In Developments in thermochemical biomass conversion (pp. 409–424). Springer, Dordrecht
Xiu S, Shahbazi A (2012) Bio-oil production and upgrading research: a review. Renew Sust Energ Rev 16(7):4406–4414
Demiral I, Kul ŞÇ (2014) Pyrolysis of apricot kernel shell in a fixed-bed reactor: characterization of bio-oil and char. J Anal Appl Pyrolysis 107:17–24
David GF, Justo OR, Perez VH, Garcia-Perez M (2018) Thermochemical conversion of sugarcane bagasse by fast pyrolysis: high yield of levoglucosan production. J Anal Appl Pyrolysis 133:246–253
Tanger P, Field JL, Jahn CE, DeFoort MW, Leach JE (2013) Biomass for thermochemical conversion: targets and challenges. Front Plant Sci 4:218
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Dhanalakshmi, C.S., Madhu, P., Karthick, A. et al. A comprehensive MCDM-based approach using TOPSIS and EDAS as an auxiliary tool for pyrolysis material selection and its application. Biomass Conv. Bioref. 12, 5845–5860 (2022). https://doi.org/10.1007/s13399-020-01009-0
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DOI: https://doi.org/10.1007/s13399-020-01009-0