Abstract
An ontological perspective to addressing sustainability issues in biomanufacturing on the journey to the circular economy is represented in this paper. Even though sustainability goes beyond the environmental dimension from the triple bottom line framework (including environmental, economic, and social dimensions), given the importance of the environmental dimension, this study has prioritized an ontology for LCA to account for sustainability.
LCA is widely used for estimating the environmental burden of a given production process. However, several conventions currently exist for representing the data required for LCA. The inconsistencies when utilizing LCA data from multiple sources make human readability and understanding difficult, and subsequent data analysis protracted and inefficient. Therefore, we propose the alignment of terms and definitions provided by Industrial Ontologies Foundry (IOF) Core with LCA terminology from ISO 14040 guidelines. With a particular focus on CO2 emission assessment, we demonstrated how the Life Cycle Assessment (LCA) ontological term formalization could be applied to a biomanufacturing process use case. The ontological representation of LCA allows easier comparative analysis between changes in a manufacturing arrangement and the corresponding LCA result. The ontology-assisted comparative analysis could potentially accelerate the identification of a manufacturing process with the lowest carbon footprint and reveal the key contributors to carbon emissions.
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References
Seddon, N., Chausson, A., Berry, P., Girardin, C.A., Smith, A., Turner, B.: Understanding the value and limits of nature-based solutions to climate change and other global challenges. Philos. Trans. R. Soc. B: Biol. Sci. 375(1794), 20190120 (2020). https://doi.org/10.1098/rstb.2019.0120
Scown, C.D.: Prospects for carbon-negative biomanufacturing. Trends Biotechnol. 40(12), 1415–1424 (2022). https://doi.org/10.1016/j.tibtech.2022.09.004
Zeng, A.-P.: New bioproduction systems for chemicals and fuels: needs and new development. Biotechnol. Adv. 37(4), 508–518 (2019). https://doi.org/10.1016/j.biotechadv.2019.01.003
Jørgensen, S., Pedersen, L.J.: The circular rather than the linear economy. In: Palgrave Studies in Sustainable Business in Association with Future Earth, pp. 103–120 (2018). https://doi.org/10.1007/978-3-319-91971-3_8
Blank, L.M., Narancic, T., Mampel, J., Tiso, T., O’Connor, K.: Biotechnological upcycling of plastic waste and other non-conventional feedstocks in a circular economy. Curr. Opin. Biotechnol. 62, 212–219 (2020). https://doi.org/10.1016/j.copbio.2019.11.011
Jain, A., et al.: Bioenergy and bio-products from bio-waste and its associated modern circular economy: current research trends, challenges, and future outlooks. Fuel 307, 121859 (2022). https://doi.org/10.1016/j.fuel.2021.121859
Whitford, B., Jones, D., Kinnane, S.: Biomanufacturing design: reducing the environmental burden. Curr. Opin. Biotechnol. 76, 102717 (2022). https://doi.org/10.1016/j.copbio.2022.102717
Spierling, S., et al.: Bio-based plastics - a review of environmental, social and economic impact assessments. J. Clean. Prod. 185, 476–491 (2018). https://doi.org/10.1016/j.jclepro.2018.03.014
Drobnjakovic, M., Boonserm K., Frechette, S., Srinivasan, V.: Recent developments in ontology standards and their applicability to biomanufacturing. In: IDETC/CIE2023-116866, Proceedings of the ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 20–23 August 2023, Boston, MA, USA (2023). (Under review)
Karray, M., et al.: The industrial ontologies foundry (IOF) perspectives (2021)
Kardung, M., et al.: Development of the circular bioeconomy: drivers and indicators. Sustainability 13(1), 413 (2021). https://doi.org/10.3390/su13010413
da Ferreira, R., Azzoni, A.R., Freitas, S.: Techno-economic analysis of the industrial production of a low-cost enzyme using E. coli: the case of recombinant β-glucosidase. Biotechnol. Biofuels 11(1), 1–13 (2018). https://doi.org/10.1186/s13068-018-1077-0
Dahiya, D., Sharma, H., Rai, A.K., Nigam, P.S.: Application of biological systems and processes employing microbes and algae to reduce, recycle, reuse (3Rs) for the sustainability of circular bioeconomy. AIMS Microbiol. 8(1), 83–102 (2022). https://doi.org/10.3934/microbiol.2022008
Yang, O., Qadan, M., Ierapetritou, M.: Economic analysis of batch and continuous biopharmaceutical antibody production: a review. J. Pharm. Innov. 15(1), 182–200 (2019). https://doi.org/10.1007/s12247-018-09370-4
Fu, R., Kang, L., Zhang, C., Fei, Q.: Application and progress of techno-economic analysis and life cycle assessment in biomanufacturing of fuels and chemicals. Green Chem. Eng. (2022). https://doi.org/10.1016/j.gce.2022.09.002
Murthy, G.S.: Techno-economic assessment. In: Biomass, Biofuels, Biochemicals, pp. 17–32 (2022). https://doi.org/10.1016/b978-0-12-819242-9.00019-1
Mahmud, R., Moni, S.M., High, K., Carbajales-Dale, M.: Integration of techno-economic analysis and life cycle assessment for sustainable process design – a review. J. Clean. Prod. 317, 128247 (2021). https://doi.org/10.1016/j.jclepro.2021.128247
Millecam, T., Jarrett, A., Young, N., Vanderwall, D., Della Corte, D.: Coming of age of allotrope: proceedings from the fall 2020 allotrope connect. Drug Discov. Today 26(8), 1922–1928 (2021)
Sarntivijai, S., et al.: CLO: the cell line ontology. J. Biomed. Semant. 5(1), 1–10 (2014)
Drobnjakovic, M., Boonserm, K., Ameri, F., Will, C., Smith, B., Jones, A.: The industrial ontologies foundry (IOF) core ontology. In: Proceedings of the FOMI 2022: 12th International Workshop on Formal Ontologies meet Industry, Tarbes, France (2022)
Kulvatunyou, B., Ameri, F.: A supply chain reference ontology based on basic formal ontology. In: ASME 2019 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC/CIE 2019 (2019)
Pacheco-López, A., Somoza-Tornos, A., Graells, M., Espuña, A.: Synthesis and assessment of waste-to-resource routes for circular economy. Comput. Chem. Eng. 153, 107439 (2021). https://doi.org/10.1016/j.compchemeng.2021.107439
Bicchielli, C., Biancone, N., Ferri, F., Grifoni, P.: Bionto: an ontology for sustainable bioeconomy and bioproducts. Sustainability 13(8), 4265 (2021). https://doi.org/10.3390/su13084265
Ghose, A., Lissandrini, M., Hansen, E.R., Weidema, B.P.: A core ontology for modeling life cycle sustainability assessment on the semantic web. J. Ind. Ecol. 26(3), 731–747 (2021). https://doi.org/10.1111/jiec.13220
Janowicz, K., et al.: A minimal ontology pattern for life cycle assessment data. In: CEUR Workshop Proceedings, vol. 1461 (2015)
ISO/IEC 21838-2: Information technology – Top-level ontologies (TLO), Part 2: Basic Formal Ontology (BFO). International Organization for Standardization, Geneva, Switzerland (2021)
Orr, J., Gibbons, O., Arnold, W.: A brief guide to calculating embodied carbon. Struct. Eng. 98(7), 22–27 (2020). https://doi.org/10.56330/jznx
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Nikolov, A., Drobnjakovic, M., Kulvatunyou, B. (2023). Produce It Sustainably: Life Cycle Assessment of a Biomanufacturing Process Through the Ontology Lens. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 692. Springer, Cham. https://doi.org/10.1007/978-3-031-43688-8_35
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