Sustainable Production of Xylo-Oligosaccharides: A Comparative Environmental Life Cycle and Techno-economic Analysis
Description
The Supplemental Data dataset provides an in-depth overview of a biorefinery system that processes 89.45 dry metric tons of oat bran per day into value-added products such as xylo-oligosaccharides (XOS) of varying purities, crystalline and syrup forms of D-xylose, lignin oil, and cellulose microfibers. It also includes an alternative configuration featuring a combined heat and power (CHP) system that generates electricity and steam from residual biomass. The dataset encompasses detailed process descriptions for feedstock handling, pretreatment, enzymatic hydrolysis, purification, and product recovery. It includes life cycle inventory (LCI) data adapted from the Ecoinvent database, techno-economic assumptions, capital and operational costs, and system-wide mass and energy balances. Additionally, it presents comparative environmental impact assessments using TRACI indicators and global warming potential (GWP) values for both the baseline and CHP scenarios. This comprehensive dataset supports both techno-economic analysis (TEA) and life cycle assessment (LCA) of biorefinery pathways for sustainable biochemical production.
Files
Steps to reproduce
To reproduce this data one would need to conduct process simulation to derive the mass and energy balances (MEB) using the Aspen Plus process simulation software. The MEB can then be used to calculate the life cycle inventory (LCI) which are entered into the OpenLCA software "Open access" and evaluated using Tool for Reduction and Assessment of Chemicals and Other Environmental Impacts (TRACI) environmental impact characterization factors "Open access". Individual characterization factors must be calculated using the datasets from the Ecoinvent database. The Ecoinvent data sets used for the analysis can be found within the LCI tables provided in the attached supplemental data file. The techno-economic analysis can be reproduced using the discounted cash flow rate of return (DCFROR) method applied to the provided dataset on variable and fixed costs found in the supplemental data file.
Institutions
- North Carolina State University
Categories
Funders
- MOTIE/KEIT, Republic of KoreaGrant ID: 20008416