Skip to main content

Advertisement

Log in

Geospatial investigation of physicochemical properties and thermodynamic parameters of biomass residue for energy generation

  • Original Article
  • Published:
Biomass Conversion and Biorefinery Aims and scope Submit manuscript

Abstract

Biomass represents vast under-explored feedstock for energy generation across the globe. Among other factors, the location from where the feedstock is harvested may affect the overall properties and the efficiency of bioreactors used in the conversion process. Herein is reported some physicochemical properties, the kinetic study and thermodynamic analysis of corn cob sourced from two major economies in sub-Sahara African region. Brunauer Emmett and Teller (BET) analysis was performed to investigate the surface characteristics of corn cob while Fourier transform infrared (FTIR) spectroscopy revealed the corresponding functional group present in the selected biomass residue. The proximate and CHNSO analyses were performed using the standard equipment and following the standard procedures, then the result is reported and compared based on the geographical locations under consideration. Also, the thermal decomposition study was carried out at different heating rates (10, 15, 30 °C min−1) in inert atmosphere while the kinetic parameters were evaluated based on Flynn–Wall–Ozawa (FWO) and Kissinger–Akahira–Sunose (KAS) methods. The analysis of variance (ANOVA) showed that there is a statistically significant difference between ultimate constituents, the fixed carbon, and volatile matter obtained from the two countries at 95% confidence level. FTIR spectroscopy showed different spectra peak in both samples which means there are varying quantity of structural elements in each feedstock. The pore surface area (1.375 m2/g) obtained for corn cob from South Africa (SC25) was greater than the value (1.074 m2/g) obtained for Nigeria (NC25). From the result, the highest value of activation energy (Ea = 190.1 kJ mol−1 and 189.9 kJ mol−1) was estimated for SC25 based on KAS and FWO methods, respectively. The result showed that the geographical location may somewhat affect some energetic properties of biomass and further provides useful information about thermodynamic and kinetic parameters which could be deployed in the simulation, optimization, and scale-up of the bioreactors for pyrolysis process.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Worldometers, “Population of Africa.” http://www.worldometers.info/world-population/africa-population/. Accessed 13 March 2019

  2. K. Hashimoto (2019) Current situation of energy consumption and carbon dioxide emissions of our world, in Global Carbon Dioxide Recycling. Springer, Singapore, pp 25–31

  3. Lizunkov V, Politsinskaya E, Malushko E, Kindaev A, Minin M (2018) Population of the world and regions as the principal energy consumer. Int J Energy Econ Policy 8(3):250–257

    Google Scholar 

  4. Smil V (2019) Energy in world history. Routledge, Abingdon

    Google Scholar 

  5. Rockström J, Gaffney O, Rogelj J, Meinshausen M, Nakicenovic N, Schellnhuber HJ (2017) A roadmap for rapid decarbonization. Science 355(6331):1269–1271

    Google Scholar 

  6. Perin G, Morosinotto T (2019) Potential of microalgae biomass for the sustainable production of bio-commodities. In: Cánovas F, Lüttge U, Leuschner C, Risueño MC (eds) Progress in Botany vol. 81. Springer, Cham

  7. Adedeji PA, Akinlabi S, Madushele N, Olatunji OO (2019) Towards low-carbon energy state in South Africa: a survey of energy availability and sustainability. EAI. https://doi.org/10.4108/eai.13-7-2018.161751

  8. McKendry P (2002) Energy production from biomass (part 1): overview of biomass. Bioresour Technol 83(1):37–46

    Google Scholar 

  9. Bajpai P (2019) Fuel potential of third generation biofuels, in Third Generation Biofuels. Springer, Singapore, pp 7–10

  10. Singh YD, Mahanta P, Bora U (2017) Comprehensive characterization of lignocellulosic biomass through proximate, ultimate and compositional analysis for bioenergy production. Renew Energy 103:490–500

    Google Scholar 

  11. Olatunji O et al (2018) Electric power crisis in Nigeria: a strategic call for change of focus to renewable sources. IOP Conference Series: Mater Sci Eng 413(1):012053

    Google Scholar 

  12. I. m. fund(IMF) (2018) World economy outlook database, April 2018. https://www.imf.org/en/publications/weo. Accessed 15 Jan 2019

  13. Awoyale AA, Lokhat D (2019) Harnessing the potential of bio-ethanol production from lignocellulosic biomass in Nigeria–a review. Biofuels Bioprod Biorefin 13(1):192–207

    Google Scholar 

  14. Nzotcha U, Kenfack J (2019) Contribution of the wood-processing industry for sustainable power generation: viability of biomass-fuelled cogeneration in sub-saharan Africa. Biomass Bioenergy 120:324–331

    Google Scholar 

  15. Worldbank (2018) GDP for South Africa and Nigeria. https://data.worldbank.org/?locations=ZA-N. Acessed 28 Aug 2019, 2018

  16. Ben-Iwo J, Manovic V, Longhurst P (2016) Biomass resources and biofuels potential for the production of transportation fuels in Nigeria. Renew Sust Energ Rev 63:172–192

    Google Scholar 

  17. Paul S, Dutta A, Thimmanagari M, Defersha F (2019) Techno-economic assessment of corn stover for hybrid bioenergy production: a sustainable approach. Case Stud Therm Eng 13:100408

    Google Scholar 

  18. Mohlala LM, Bodunrin MO, Awosusi AA, Daramola MO, Cele NP, Olubambi PA (2016) Beneficiation of corncob and sugarcane bagasse for energy generation and materials development in Nigeria and South Africa: a short overview. Alex Eng J 55(3):3025–3036

    Google Scholar 

  19. F. a. A. O. o. t. U. N. FAO (2019) FAOSTAT-CROPS. http://www.fao.org/faostat/en/#data/QC. Accessed 09 April 2019

  20. Leal JH, Moore CM, Sutton AD, Semelsberger TA (2019) Surface energy of air fractionated corn stover. IOP Conference Series: Mater Sci Eng 137:628–635

    Google Scholar 

  21. Olatunji OO, Ajayi O, Mashinini P, Nkosinathi M (2018) Experimental investigation of thermal properties of Lignocellulosic biomass: a review. IOP Conference Series: Mater Sci Eng 413(1):012054

    Google Scholar 

  22. Vassilev SV, Baxter D, Andersen LK, Vassileva CG (2010) An overview of the chemical composition of biomass. Fuel 89(5):913–933

    Google Scholar 

  23. Olatunji OO, Akinlabi SA, Mashinini MP, Fatoba SO, Ajayi OO (2018) Thermo-gravimetric characterization of biomass properties: a review. IOP Conference Series: Mater Sci Eng 423(1):012175

    Google Scholar 

  24. Williams CL, Westover TL, Emerson RM, Tumuluru JS, Li C (2016) Sources of biomass feedstock variability and the potential impact on biofuels production. BioEnergy Res 9(1):1–14

    Google Scholar 

  25. Huynh HT, Hufnagel J, Wurbs A, Bellingrath-Kimura SD (2019) Influences of soil tillage, irrigation and crop rotation on maize biomass yield in a 9-year field study in Müncheberg, Germany. Field Crop Res 241:107565

    Google Scholar 

  26. Yao X, Xu K, Liang Y (2017) Assessing the effects of different process parameters on the pyrolysis behaviors and thermal dynamics of corncob fractions. BioResources 12(2):2748–2767

    Google Scholar 

  27. Mostafa ME et al (2019) The significance of pelletization operating conditions: an analysis of physical and mechanical characteristics as well as energy consumption of biomass pellets. Renew Sust Energ Rev 105:332–348

    Google Scholar 

  28. Djatkov D, Martinov M, Kaltschmitt M (2018) Influencing parameters on mechanical–physical properties of pellet fuel made from corn harvest residues. Biomass Bioenergy 119:418–428

    Google Scholar 

  29. Xu Y, Chen B (2013) Investigation of thermodynamic parameters in the pyrolysis conversion of biomass and manure to biochars using thermogravimetric analysis. Bioresour Technol 146:485–493

    Google Scholar 

  30. Dhyani V, Bhaskar T (2018) A comprehensive review on the pyrolysis of lignocellulosic biomass. Renew Energy 129:695–716

    Google Scholar 

  31. Alves JLF, da Silva JCG, da Silva Filho VF, Alves RF, de Araujo Galdino WV, De Sena RF (2019) Kinetics and thermodynamics parameters evaluation of pyrolysis of invasive aquatic macrophytes to determine their bioenergy potentials. Biomass Bioenergy 121:28–40

    Google Scholar 

  32. Zou H, Evrendilek F, Liu J, Buyukada M (2019) Combustion behaviors of pileus and stipe parts of Lentinus edodes using thermogravimetric-mass spectrometry and Fourier transform infrared spectroscopy analyses: thermal conversion, kinetic, thermodynamic, gas emission and optimization analyses. Bioresour Technol 288:121481

    Google Scholar 

  33. Huang J, Liu J, Chen J, Xie W, Kuo J, Lu X, Chang K, Wen S, Sun G, Cai H, Buyukada M, Evrendilek F (2018) Combustion behaviors of spent mushroom substrate using TG-MS and TG-FTIR: thermal conversion, kinetic, thermodynamic and emission analyses. Bioresour Technol 266:389–397

    Google Scholar 

  34. Alves JLF et al (2019) Bioenergy potential of red macroalgae Gelidium floridanum by pyrolysis: evaluation of kinetic triplet and thermodynamics parameters. Bioresour Technol 291:121892

    Google Scholar 

  35. Mlonka-Mędrala A, Magdziarz A, Dziok T, Sieradzka M, Nowak W (2019) Laboratory studies on the influence of biomass particle size on pyrolysis and combustion using TG GC/MS. Fuel 252:635–645

    Google Scholar 

  36. Lam HL, Varbanov P, Klemeš J (2010) Minimising carbon footprint of regional biomass supply chains. Resour Conserv Recycl 54(5):303–309

    Google Scholar 

  37. Li J-M, Li A-H, Varbanov PS, Liu Z-Y (2017) Distance potential concept and its applications to the design of regional biomass supply chains and solving vehicle routing problems. J Clean Prod 144:426–436

    Google Scholar 

  38. Nunes L, Causer T, Ciolkosz D (2020) Biomass for energy: a review on supply chain management models. Renew Sust Energ Rev 120:109658

    Google Scholar 

  39. Sharara MA et al (2020) Sustainable feedstock for bioethanol production: impact of spatial resolution on the design of a sustainable biomass supply-chain. Bioresour Technol 302:122896

    Google Scholar 

  40. E. Commission (2018) A sustainable bioeconomy for Europe: strengthening the connection between economy, society and the environment

  41. Rodríguez M, Camacho JA (2020) The development of trade of biomass in Spain: a raw material equivalent approach. Biomass Bioenergy 133:105450

    Google Scholar 

  42. Hadebe D, Hansa A, Ndlhovu C, Kibido M (2018) Scaling up renewables through regional planning and coordination of power systems in Africa—Regional Power System planning to harness renewable resources and diversify generation portfolios in Southern Africa. Curr Sustainable Renewable Energy Rep 5(4):224–229

    Google Scholar 

  43. ASTM (2017) Standard test methods. https://www.astm.org. Accessed 30 April 2018 2017

  44. A. E872–82 (2013) Standard test method for volatile matter in the analysis of particulate wood fuels. ASTM International, West Conshohocken

  45. A. E1756–08 (2015) Standard test method for determination of total solids in biomass. ASTM International, West Conshohocken

  46. A. E1755–01, "Standard test method for ash in biomass. West Conshohocken, PA: ASTM International," 2015

  47. A. E1757–01 (2015) Standard practice for preparation of biomass for compositional analysis. America society for Testing materilas, International, PA

  48. ASTM (2015) E1755 standard test method for ash in biomass, America Society of Testing Materials, International

  49. García R, Pizarro C, Lavín AG, Bueno JL (2014) Spanish biofuels heating value estimation. Part II: proximate analysis data. Fuel 117:1139–1147

    Google Scholar 

  50. Sluiter JB, Ruiz RO, Scarlata CJ, Sluiter AD, Templeton DW (2010) Compositional analysis of lignocellulosic feedstocks. 1. Review and description of methods. J Agric Food Chem 58(16):9043–9053

    Google Scholar 

  51. D. D. S. P. L. DDS (2018) Eco operating manual. >http://www.ddscalorimeters.com/. Accessed 28 Nov 2018

  52. Brunauer S, Emmett PH, Teller E (1938) Adsorption of gases in multimolecular layers. J Am Chem Soc 60(2):309–319

    Google Scholar 

  53. Zhang D, Luo R (2018) Modifying the BET model for accurately determining specific surface area and surface energy components of aggregates. Constr Build Mater 175:653–663

    Google Scholar 

  54. Che Q et al (2019) Influence of physicochemical properties of metal modified ZSM-5 catalyst on benzene, toluene and xylene production from biomass catalytic pyrolysis. Bioresour Technol 278:248

    Google Scholar 

  55. Feng YC, Meng Y, Li FX, Lv ZP, Xue JW (2013) Synthesis of mesoporous LTA zeolites with large BET areas. J Porous Mater 20(3):465–471

    Google Scholar 

  56. M v (2013) Crystal-Impact. http://www.crystalimpact.com/match/

  57. Akahira T (1971) Trans. Joint convention of four electrical institutes. Res Rep Chiba Inst Technol 16:22–31

    Google Scholar 

  58. Kissinger HE (1957) Reaction kinetics in differential thermal analysis. Anal Chem 29(11):1702–1706

    Google Scholar 

  59. Doyle CD (1961) Kinetic analysis of thermogravimetric data. J Appl Polym Sci 5(15):285–292

    Google Scholar 

  60. 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

    Google Scholar 

  61. Demirbaş A (1997) Calculation of higher heating values of biomass fuels. Fuel 76(5):431–434

    Google Scholar 

  62. Gómez N, Rosas JG, Cara J, Martínez O, Alburquerque JA, Sánchez ME (2016) Slow pyrolysis of relevant biomasses in the Mediterranean basin. Part 1. Effect of temperature on process performance on a pilot scale. J Clean Prod 120:181–190

    Google Scholar 

  63. Brinchi L, Cotana F, Fortunati E, Kenny J (2013) Production of nanocrystalline cellulose from lignocellulosic biomass: technology and applications. Carbohydr Polym 94(1):154–169

    Google Scholar 

  64. Channiwala S, Parikh P (2002) A unified correlation for estimating HHV of solid, liquid and gaseous fuels. Fuel 81(8):1051–1063

    Google Scholar 

  65. Demirbas A, Gullu D, Caglar A, Akdeniz F (1997) Estimation of calorific values of fuels from lignocellulosics. Energy Sources 19(8):765–770

    Google Scholar 

  66. Parikh J, Channiwala S, Ghosal G (2005) A correlation for calculating HHV from proximate analysis of solid fuels. Fuel 84(5):487–494

    Google Scholar 

  67. Barakat A, Mayer-Laigle C, Solhy A, Arancon RA, De Vries H, Luque R (2014) Mechanical pretreatments of lignocellulosic biomass: towards facile and environmentally sound technologies for biofuels production. RSC Adv 4(89):48109–48127

    Google Scholar 

  68. Zu S, Li WZ, Zhang M, Li Z, Wang Z, Jameel H, Chang HM (2014) Pretreatment of corn stover for sugar production using dilute hydrochloric acid followed by lime. Bioresour Technol 152:364–370

    Google Scholar 

  69. de Jong W (2014) Biomass composition, properties, and characterization. biomass as a sustainable energy source for the future: Fundamentals of Conversion Processes. Wiley. https://doi.org/10.1002/9781118916643.ch2

  70. Ji T et al (2016) Green processing of plant biomass into mesoporous carbon as catalyst support. Chem Eng J 295:301–308

    Google Scholar 

  71. Mena-Durán CJ, Quintana P, Barbosa R, Baas J, Escobar B (2019) Characteristics of hydrochars prepared from cassava residues using different aqueous media. Waste Biomass Valor. https://doi.org/10.1007/s12649-018-00561-1

  72. Merck (2019) IR spectrum table & chart. https://www.sigmaaldrich.com/technical-documents/articles/biology/ir-spectrum-table.html. Aaccessed 08 March 2019

  73. Kubo S, Kadla JF (2005) Hydrogen bonding in lignin: a Fourier transform infrared model compound study. Biomacromolecules 6(5):2815–2821

    Google Scholar 

  74. Poletto M, Zattera AJ, Forte MM, Santana RM (2012) Thermal decomposition of wood: influence of wood components and cellulose crystallite size. Bioresour Technol 109:148–153

    Google Scholar 

  75. Darmawan S, Wistara NJ, Pari G, Maddu A, Syafii W (2016) Characterization of lignocellulosic biomass as raw material for the production of porous carbon-based materials. BioResources 11(2):3561–3574

    Google Scholar 

  76. De Macedo LA, Commandré J-M, Rousset P, Valette J, Pétrissans M (2018) Influence of potassium carbonate addition on the condensable species released during wood torrefaction. Fuel Process Technol 169:248–257

    Google Scholar 

  77. Klopper L, Strydom C, Bunt J (2012) Influence of added potassium and sodium carbonates on CO2 reactivity of the char from a demineralized inertinite rich bituminous coal. J Anal Appl Pyrolysis 96:188–195

    Google Scholar 

  78. Müller-Hagedorn M, Bockhorn H, Krebs L, Müller U (2003) A comparative kinetic study on the pyrolysis of three different wood species. J Anal Appl Pyrolysis 68:231–249

    Google Scholar 

  79. Kumar A, Wang L, Dzenis YA, Jones DD, Hanna MA (2008) Thermogravimetric characterization of corn stover as gasification and pyrolysis feedstock. Biomass Bioenergy 32(5):460–467

    Google Scholar 

  80. El-Sayed SA, Khairy M (2015) Effect of heating rate on the chemical kinetics of different biomass pyrolysis materials. Biofuels 6(3–4):157–170

    Google Scholar 

  81. Kan T, Strezov V, Evans T (2016) Effect of the heating rate on the thermochemical behavior and biofuel properties of sewage sludge pyrolysis. Energy Fuel 30(3):1564–1570

    Google Scholar 

  82. Haykiri-Acma H, Yaman S, Kucukbayrak S (2006) Effect of heating rate on the pyrolysis yields of rapeseed. Renew Energy 31(6):803–810

    Google Scholar 

  83. Afifi A, Hindermann J, Chornet E, Overend R (1989) The cleavage of the aryl ·O· CH3 bond using anisole as a model compound. Fuel 68(4):498–504

    Google Scholar 

  84. Brebu M, Vasile C (2010) Thermal degradation of lignin-a review. Cellul Chem Technol 44(9):353

    Google Scholar 

  85. Dobele G, Rossinskaja G, Dizhbite T, Telysheva G, Meier D, Faix O (2005) Application of catalysts for obtaining 1, 6-anhydrosaccharides from cellulose and wood by fast pyrolysis. J Anal Appl Pyrolysis 74(1–2):401–405

    Google Scholar 

  86. Di Blasi C, Branca C, Galgano A (2007) Effects of diammonium phosphate on the yields and composition of products from wood pyrolysis. Ind Eng Chem Res 46(2):430–438

    Google Scholar 

  87. Shadangi KP, Mohanty K (2014) Comparison of yield and fuel properties of thermal and catalytic Mahua seed pyrolytic oil. Fuel 117:372–380

    Google Scholar 

  88. Pradhan D, Singh R, Bendu H, Mund R (2016) Pyrolysis of Mahua seed (Madhuca indica)–production of biofuel and its characterization. Energy Convers Manag 108:529–538

    Google Scholar 

  89. Maia AAD, de Morais LC (2016) Kinetic parameters of red pepper waste as biomass to solid biofuel. Bioresour Technol 204:157–163

    Google Scholar 

  90. Álvarez A, Pizarro C, García R, Bueno J, Lavín A (2016) Determination of kinetic parameters for biomass combustion. Bioresour Technol 216:36–43

    Google Scholar 

  91. Müsellim E, Tahir MH, Ahmad MS, Ceylan S (2018) Thermokinetic and TG/DSC-FTIR study of pea waste biomass pyrolysis. Appl Therm Eng 137:54–61

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Obafemi O Olatunji.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Olatunji, O.O., Akinlabi, S., Madushele, N. et al. Geospatial investigation of physicochemical properties and thermodynamic parameters of biomass residue for energy generation. Biomass Conv. Bioref. 11, 2813–2827 (2021). https://doi.org/10.1007/s13399-020-00723-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13399-020-00723-z

Keywords

Navigation