Volume 8 Issue 2
May  2023
Turn off MathJax
Article Contents
Adrian Chun Minh Loy, Karen Gah Hie Kong, Juin Yau Lim, Bing Shen How. Frontier of digitalization in Biomass-to-X supply chain: opportunity or threats?[J]. Journal of Bioresources and Bioproducts, 2023, 8(2): 101-107. doi: 10.1016/j.jobab.2023.03.001
Citation: Adrian Chun Minh Loy, Karen Gah Hie Kong, Juin Yau Lim, Bing Shen How. Frontier of digitalization in Biomass-to-X supply chain: opportunity or threats?[J]. Journal of Bioresources and Bioproducts, 2023, 8(2): 101-107. doi: 10.1016/j.jobab.2023.03.001

Frontier of digitalization in Biomass-to-X supply chain: opportunity or threats?

doi: 10.1016/j.jobab.2023.03.001
More Information
  • Corresponding author: E-mail address: adrian.loy@monash.edu (A.C.M. Loy)
  • Available Online: 2023-03-12
  • Publish Date: 2023-05-01
  • The escalating climate crisis necessitates an urgent shift towards a sustainable business model. Under the context of bioeconomy, it has offered a promising alternative through its "Biomass-to-X" strategy for converting biological resources into value-added products or chemicals. However, the adoption of this approach remains scarce, which highlights the need to leverage digital technologies to enhance its feasibility. Thus, this paper provides a comprehensive overview of the potential role of digital technologies in the Biomass-to-X supply chain, encompassing the entire value chain from upstream to downstream activities, specifically in the areas of 1) lab-to-fabrication translation, 2) biomanufacturing stage, and lastly, 3) supply chain management stage. Furthermore, this study identifies and discusses research gaps in each niche area, along with potential future research prospects to facilitate the transition towards a sustainable bioeconomy, making it a crucial reference for stakeholders involved in decision-making processes.

     

  • Declaration of Competing Interest  There are no conflicts to declare.
  • loading
  • Ahmed, M.U., Andersson, P., Andersson, T., Aparicio, E.T., Baaz, H., Barua, S., Bergström, A., Bengtsson, D., Orisio, D., Skvaril, J., Zambrano, J., 2019. A machine learning approach for biomass characterization. Energy Procedia 158, 1279–1287. doi: 10.1016/j.egypro.2019.01.316
    Akartuna, E.A., Johnson, S.D., Thornton, A.E., 2022. The money laundering and terrorist financing risks of new and disruptive technologies: a futures-oriented scoping review. Secur. J. 1–36.
    Alawida, M., Omolara, A.E., Abiodun, O.I., Al-Rajab, M., 2022. A deeper look into cybersecurity issues in the wake of Covid-19: a survey. J. King Saud Univ. Comput. Inf. Sci. 34, 8176–8206.
    Allen, J.W., Scheer, A.M., Gao, C.W., Merchant, S.S., Vasu, S.S., Welz, O., Savee, J.D., Osborn, D.L., Lee, C., Vranckx, S., Wang, Z.D., Qi, F., Fernandes, R.X., Green, W.H., Hadi, M.Z., Taatjes, C.A., 2014. A coordinated investigation of the combustion chemistry of diisopropyl ketone, a prototype for biofuels produced by endophytic fungi. Combust. Flame 161, 711–724. doi: 10.1016/j.combustflame.2013.10.019
    Ancillai, C., Sabatini, A., Gatti, M., Perna, A., 2023. Digital technology and business model innovation: a systematic literature review and future research agenda. Technol. Forecast. Soc. Change 188, 122307. doi: 10.1016/j.techfore.2022.122307
    Andiappan, V., How, B.S., Ngan, S.L., 2021. A perspective on post-pandemic biomass supply chains: opportunities and challenges for the new norm. Process. Integr. Optim. Sustain. 5, 1003–1010. doi: 10.1007/s41660-021-00176-5
    Ariede, M.B., Candido, T.M., Jacome, A.L.M., Velasco, M.V.R., de Carvalho, J.C.M., Baby, A.R., 2017. Cosmetic attributes of algae - a review. Algal Res. 25, 483–487. doi: 10.1016/j.algal.2017.05.019
    BBTwins, 2022. Agri-food Value Chain Digitalisation for Resource Efficiency Retrieved. Available at: https://bbtwins.eu/.
    Bethesada, M., Reno, N., 2020. Enviva Partners With GoChain to Pilot Blockchain echnology for Sustainable Biomass. Available at: https://www.envivabiomass.com/enviva-partners-with-gochain-to-pilot-blockchain-technology-for-sustainable-biomass/.
    Biswas, D., Jalali, H., Ansaripoor, A.H., De Giovanni, P., 2023. Traceability vs. sustainability in supply chains: the implications of blockchain. Eur. J. Oper. Res. 305, 128–147. doi: 10.1016/j.ejor.2022.05.034
    Borowski, P., 2021. Digitization, digital twins, blockchain, and industry 4.0 as elements of management process in enterprises in the energy sector. Energies 14, 1885. doi: 10.3390/en14071885
    Bracco, S., Calicioglu, O., Gomez San Juan, M., Flammini, A., 2018. Assessing the contribution of bioeconomy to the total economy: a review of national frameworks. Sustainability 10, 1698. doi: 10.3390/su10061698
    Casado-Vara, R., Prieto, J., De la Prieta, F., Corchado, J.M., 2018. How blockchain improves the supply chain: case study alimentary supply chain. Procedia Comput. Sci. 134, 393–398. doi: 10.1016/j.procs.2018.07.193
    Castro Garcia, A., Shuo, C., Cross, J.S., 2022. Machine learning based analysis of reaction phenomena in catalytic lignin depolymerization. Bioresour. Technol. 345, 126503. doi: 10.1016/j.biortech.2021.126503
    Chai, S.Y.W., Phang, F.J.F., Yeo, L.S., Ngu, L.H., How, B.S., 2022. Future era of techno-economic analysis: insights from review. Front. Sustain. 3, 924047. doi: 10.3389/frsus.2022.924047
    Chandrasekaran, A., Kim, C., Venkatram, S., Ramprasad, R., 2020. A deep learning solvent-selection paradigm powered by a massive solvent/nonsolvent database for polymers. Macromolecules 53, 4764–4769. doi: 10.1021/acs.macromol.0c00251
    Chen, X., Despeisse, M., Johansson, B., 2020. Environmental sustainability of digitalization in manufacturing: a review. Sustainability 12, 10298. doi: 10.3390/su122410298
    Dwivedi, Y.K., Ismagilova, E., Hughes, D.L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A.S., Kumar, V., Rahman, M.M., Raman, R., Rauschnabel, P.A., Rowley, J., Salo, J., Tran, G.A., Wang, Y.C., 2021. Setting the future of digital and social media marketing research: perspectives and research propositions. Int. J. Inf. Manag. 59, 102168. doi: 10.1016/j.ijinfomgt.2020.102168
    Dyck, G., Hawley, E., Hildebrand, K., Paliwal, J., 2023. Digital Twins: a novel traceability concept for post-harvest handling. Smart Agric. Technol. 3, 100079. doi: 10.1016/j.atech.2022.100079
    Elmaz, F., Yücel, Ö., Mutlu, A.Y., 2020. Predictive modeling of biomass gasification with machine learning-based regression methods. Energy 191, 116541. doi: 10.1016/j.energy.2019.116541
    Fava, F., Gardossi, L., Brigidi, P., Morone, P., Carosi, D.A.R., Lenzi, A., 2021. The bioeconomy in Italy and the new national strategy for a more competitive and sustainable country. New Biotechnol. 61, 124–136. doi: 10.1016/j.nbt.2020.11.009
    Gao, C.W., Allen, J.W., Green, W.H., West, R.H., 2016. Reaction mechanism generator: automatic construction of chemical kinetic mechanisms. Comput. Phys. Commun. 203, 212–225. doi: 10.1016/j.cpc.2016.02.013
    García Nieto, P.J., García-Gonzalo, E., Paredes-Sánchez, J.P., Sánchez, A.B., Fernández, M.M., 2019. Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques. Neural Comput. Appl. 31, 8823–8836. doi: 10.1007/s00521-018-3870-x
    Ghobakhloo, M., Fathi, M., 2021. Industry 4.0 and opportunities for energy sustainability. J. Clean. Prod. 295, 126427. doi: 10.1016/j.jclepro.2021.126427
    Globacap, 2022. Asset-Backed Token Raise to Support the Build of Algae Biomass Protein Farms. Available at: https://globacap.com/news/sit-tezos-globacap/.
    Goswami, L., Kayalvizhi, R., Dikshit, P.K., Sherpa, K.C., Roy, S., Kushwaha, A., Kim, B.S., Banerjee, R., Jacob, S., Rajak, R.C., 2022. A critical review on prospects of bio-refinery products from second and third generation biomasses. Chem. Eng. J. 448, 137677. doi: 10.1016/j.cej.2022.137677
    Hosamo, H.H., Svennevig, P.R., Svidt, K., Han, D.G., Nielsen, H.K., 2022. A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics. Energy Build. 261, 111988. doi: 10.1016/j.enbuild.2022.111988
    IEA, 2019. Governing Sustainability in Biomass Supply Chains for The Bioeconomy. Available at: https://www.ieabioenergy.com/wp-content/uploads/2019/10/ExCo83-Governing-sustainability-in-biomass-supply-chains-for-the-bioeconomy-Summary-and-Conclusions.pdf.
    Iqbal, J., Muhammad, N., Rahim, A., Khan, A.S., Ullah, Z., Gonfa, G., Ahmad, P., 2019. COSMO-RS predictions, hydrogen bond basicity values and experimental evaluation of amino acid-based ionic liquids for lignocellulosic biomass dissolution. J. Mol. Liq. 273, 215–221. doi: 10.1016/j.molliq.2018.10.044
    Javed, H., Irfan, M., Shehzad, M., Abdul Muqeet, H., Akhter, J., Dagar, V., Guerrero, J.M., 2022. Recent trends, challenges, and future aspects of P2P energy trading platforms in electrical-based networks considering blockchain technology: a roadmap toward environmental sustainability. Front. Energy Res. 10, 810395. doi: 10.3389/fenrg.2022.810395
    Kankaanhuhta, V., Packalen, T., Väätäinen, K., 2021. Digital transformation of forest services in Finland—a case study for improving business processes. Forests 12, 781. doi: 10.3390/f12060781
    Karantias, K., Kiayias, A., Zindros, D., 2020. Proof-of-Burn. In: International Conference on Financial Cryptography and Data Security. Springer, Cham, pp. 523–540.
    Kardung, M., Cingiz, K., Costenoble, O., Delahaye, R., Heijman, W., Lovrić, M., Zhu, B.X., 2021. Development of the circular bioeconomy: drivers and indicators. Sustainability 13, 413. doi: 10.3390/su13010413
    Khandii, O., 2019. Social threats in the digitalization of economy and society. In: SHS Web Conf, 67, p. 06023.
    Kohli, V., Chakravarty, S., Chamola, V., Sangwan, K.S., Zeadally, S., 2022. An analysis of energy consumption and carbon footprints of cryptocurrencies and possible solutions. Digit. Commun. Netw. doi: 10.1016/j.dcan.2022.06.017.
    Kohtamäki, M., Parida, V., Patel, P.C., Gebauer, H., 2020. The relationship between digitalization and servitization: the role of servitization in capturing the financial potential of digitalization. Technol. Forecast. Soc. Change 151, 119804. doi: 10.1016/j.techfore.2019.119804
    Kong, K.G.H., How, B.S., Teng, S.Y., Leong, W.D., Foo, D.C., Tan, R.R., Sunarso, J., 2021. Towards data-driven process integration for renewable energy planning. Curr. Opin. Chem. Eng. 31, 100665. doi: 10.1016/j.coche.2020.100665
    Kong, K.G.H., Lim, J.Y., Leong, W.D., Ng, W.P.Q., Teng, S.Y., Sunarso, J., How, B.S., 2022. Fuzzy optimization for peer-to-peer (P2P) multi-period renewable energy trading planning. J. Clean. Prod. 368, 133122. doi: 10.1016/j.jclepro.2022.133122
    Lago, C., Herrera, I., Caldés, N., Lechón, Y., 2019. Nexus bioenergy-bioeconomy. In: The Role of Bioenergy in the Bioeconomy. Elsevier, Amsterdam, pp. 3–24.
    Lilienthal, P., Lambert, T., Gilman, P., 2004. Computer modeling of renewable power systems. Encyclopedia of Energy. Elsevier, Amsterdam, pp. 633–647.
    Lim, J.Y., Loy, A.C.M., Alhazmi, H., Fui, B.C.L., Cheah, K.W., Taylor, M.J., Kyriakou, G., Yoo, C.K., 2022. Machine learning–assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: reaction pathways and multicriteria optimization analyses. Int. J. Energy Res. 46, 6277–6291. doi: 10.1002/er.7565
    Loy, A.C.M., Gan, D.K.W., Yusup, S., Chin, B.L.F., Lam, M.K., Shahbaz, M., Unrean, P., Acda, M.N., Rianawati, E., 2018. Thermogravimetric kinetic modelling of in situ catalytic pyrolytic conversion of rice husk to bioenergy using rice hull ash catalyst. Bioresour. Technol. 261, 213–222. doi: 10.1016/j.biortech.2018.04.020
    Loy, A.C.M., Lim, J.Y., How, B.S., Yoo, C.K., 2022. Blockchain as a frontier in biotechnology and bioenergy applications. Trends Biotechnol. 40, 255–258. doi: 10.1016/j.tibtech.2021.09.006
    Mohammed, A., de Sousa Jabbour, A.B.L., Koh, L., Hubbard, N., Chiappetta Jabbour, C.J., Al Ahmed, T., 2022. The sourcing decision-making process in the era of digitalization: a new quantitative methodology. Transp. Res. E Logist. Transp. Rev. 168, 102948. doi: 10.1016/j.tre.2022.102948
    Nehme, F., 2018. Opinion: How Blockchain and Digital Coins Can Serve the Biofuels Industry. Available at: https://biofuels-news.com/news/opinion-how-blockchainand-digital-coins-can-serve-the-biofuels-industry/.
    Nguyen, C.T., Hoang, D.T., Nguyen, D.N., Niyato, D., Nguyen, H.T., Dutkiewicz, E., 2019. Proof-of-stake consensus mechanisms for future blockchain networks: fundamentals, applications and opportunities. IEEE Access 7, 85727–85745. doi: 10.1109/access.2019.2925010
    Njualem, L.A., 2022. Leveraging blockchain technology in supply chain sustainability: a provenance perspective. Sustainability 14, 10533. doi: 10.3390/su141710533
    Phromphithak, S., Onsree, T., Tippayawong, N., 2021. Machine learning prediction of cellulose-rich materials from biomass pretreatment with ionic liquid solvents. Bioresour. Technol. 323, 124642. doi: 10.1016/j.biortech.2020.124642
    Psathas, F., Georgiou, P.N., Rentizelas, A., 2022. Optimizing the design of a biomass-to-biofuel supply chain network using a decentralized processing approach. Energies 15, 5001. doi: 10.3390/en15145001
    Rachinger, M., Rauter, R., Müller, C., Vorraber, W., Schirgi, E., 2019. Digitalization and its influence on business model innovation. J. Manuf. Technol. Manag. 30, 1143–1160. doi: 10.1108/jmtm-01-2018-0020
    Rennings, M., Burgsmüller, A.P.F., Bröring, S., 2022. Convergence towards a digitalized bioeconomy—exploring cross-industry merger and acquisition activities between the bioeconomy and the digital economy. Bus. Strategy Dev. doi: 10.1002/bsd2.223.
    Ronzhina, N., Kondyurina, I., Voronina, A., Igishev, K., Loginova, N., 2021. Digitalization of modern education: problems and solutions. Int. J. Emerg. Technol. Learn. 16, 122. doi: 10.3991/ijet.v16i04.18203
    RSB, 2021. Combatting Fraud with Technology: RSB and Bioledger Launch Biofuels Blockchain Case Study. Available at: https://rsb.org/2021/03/12/combatting-fraud-with-technology-rsb-bioledger-launch-biofuels-blockchain-case-study/.
    Sandalow, D., Aines, R., Friedmann, J., McCormick, C., Sanchez, D.L., 2021. Biomass Carbon Removal and Storage (BiCRS) Roadmap. Available at: https://www.icef.go.jp/pdf/summary/roadmap/icef2020_roadmap.pdf.
    Seyedzadeh Khanshan, F., West, R.H., 2016. Developing detailed kinetic models of syngas production from bio-oil gasification using reaction mechanism generator (RMG). Fuel 163, 25–33. doi: 10.1016/j.fuel.2015.09.031
    Solomon, E.M., van Klyton, A., 2020. The impact of digital technology usage on economic growth in Africa. Util. Policy 67, 101104. doi: 10.1016/j.jup.2020.101104
    Teng, S.Y., Touš, M., Leong, W.D., How, B.S., Lam, H.L., Máša, V., 2021. Recent advances on industrial data-driven energy savings: digital twins and infrastructures. Renew. Sustain. Energy Rev. 135, 110208. doi: 10.1016/j.rser.2020.110208
    Terry, L.M., Loy, A.C.M., Chew, J.J., How, B.S., Andiappan, V., Sunarso, J., 2022. Chemical engineering and the sustainable oil palm biomass industry—Recent advances and perspectives for the future. Chem. Eng. Res. Des. 188, 729–735. doi: 10.1016/j.cherd.2022.10.017
    Toorajipour, R., Oghazi, P., Sohrabpour, V., Patel, P.C., Mostaghel, R., 2022. Block by block: a blockchain-based peer-to-peer business transaction for international trade. Technol. Forecast. Soc. Change 180, 121714. doi: 10.1016/j.techfore.2022.121714
    Varadhan, S., Reidm, H., Dausen, N., Saul, J., Chestney, N., 2022. Coal Rush! Energy Crisis Fires Global Hunt for Polluting Fuel. Available at: https://www.reuters.com/markets/commodities/coal-rush-energy-crisis-fires-global-hunt-polluting-fuel-2022-09-20/.
    V-Grid, 2021. VGRID Energy Systems Finds Solution to Make Bitcoin Mining Go Green. Available at: https://vgridenergy.com/vgrid-energy-systems-finds-solution-tomake-bitcoin-mining-go-green/.
    Wang, K.X., Khoo, K.S., Leong, H.Y., Nagarajan, D., Chew, K.W., Ting, H.Y., Selvarajoo, A., Chang, J.S., Show, P.L., 2022. How does the internet of things (IoT) help in microalgae biorefinery? Biotechnol. Adv. 54, 107819. doi: 10.1016/j.biotechadv.2021.107819
    Wesseler, J., von Braun, J., 2017. Measuring the bioeconomy: economics and policies. Annu. Rev. Resour. Econ. 9, 275–298. doi: 10.1146/annurev-resource-100516-053701
    Wongthongtham, P., Marrable, D., Abu-Salih, B., Liu, X., Morrison, G., 2021. Blockchain-enabled Peer-to-Peer energy trading. Comput. Electr. Eng. 94, 107299. doi: 10.1016/j.compeleceng.2021.107299
    Yi, H.B., 2022. A traceability method of biofuel production and utilization based on blockchain. Fuel 310, 122350. doi: 10.1016/j.fuel.2021.122350
    You, X.D., Sun, D.W., Lv, X.Q., Gao, S., Buyya, R., 2022. MQDS: an energy saving scheduling strategy with diverse QoS constraints towards reconfigurable cloud storage systems. Future Gener. Comput. Syst. 129, 252–268. doi: 10.1016/j.future.2021.11.025
    Youssef Abdelmajied, F., 2022. Industry 4.0 and its implications: concept, opportunities, and future directions. In: Tamás, B., Ágota, B., Ireneusz, K. (Eds.), Supply Chain: Recent Advances and New Perspectives in the Industry 4.0 Era. IntechOpen, Rijeka.
    Zhang, A., Zhong, R.Y., Farooque, M., Kang, K., Venkatesh, V.G., 2020. Blockchain-based life cycle assessment: an implementation framework and system architecture. Resour. Conserv. Recycl. 152, 104512. doi: 10.1016/j.resconrec.2019.104512
    Zhang, S.C., Dong, H., Lin, A., Zhang, C.F., Du, H., Mu, J.J., Han, J.Y., Zhang, J., Wang, F., 2022a. Design and optimization of solid amine CO2 adsorbents assisted by machine learning. ACS Sustain. Chem. Eng. 10, 13185–13193. doi: 10.1021/acssuschemeng.2c04492
    Zhang, Y., Su, J.F., Guo, H.G., Lee, J.Y., Xiao, Y., Fu, M.Q., 2022b. Transformative value co-creation with older customers in e-services: exploring the influence of customer participation on appreciation of digital affordances and well-being. J. Retail. Consumer Serv. 67, 103022. doi: 10.1016/j.jretconser.2022.103022
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(2)  / Tables(1)

    Article Metrics

    Article views (466) PDF downloads(9) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return