A cost estimation of an industrial scale production of nanocellulose filaments utilizing PBCM and TRL : A case study at RISE Research Institutes of Sweden AB

Detta är en Master-uppsats från KTH/Skolan för industriell teknik och management (ITM)

Sammanfattning: Producing the strongest bio-based material called nanocellulose, in the form of filaments, has shown to be technically feasible at lab-scale, but the production costs remain unknown. The research has focused on technical feasibility and less on costs, which is a common phenomenon when developing new technologies. Constructing a Process-Based Cost Model (PBCM) can link the technical aspects of a technology to its costs of production. However, the accuracy of such a model might be dependent on the data availability of the technology. In this study, the technology of producing nanocellulose filaments has been evaluated along the scale of Technology Readiness Level (TRL) to understand the maturity of the technology and a PBCM has been constructed to show the economic prerequisites for the production of nanocellulose filaments. The main results indicate that at TRL 4, with parts of TRL 5 fulfilled, parameters such as Capital Expenditures cannot be allocated to unit production cost, only Operational Expenditures. Therefore, the relevant cost elements become material and energy as these constitute the currently available data. The PBCM can thus be used to estimate the production costs of different scenarios while highlighting the areas of future research. In the empirical context of nanocellulose filament production, utilizing deionized water in the production is a more promising option compared to utilizing solvents as the cost of recovering the solvent becomes high. Furthermore, using deionized water also becomes more promising due to the fact that other scenarios have not yet been evaluated experimentally. However, as the technology matures and more data becomes available, the model accuracy will increase as more parameters can be included in the model and the basis increases for decisionmaking regarding techno-economic concerns of the technology.

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