| Literature DB >> 32560446 |
Shokoofeh Ghasemi1, Mukund P Sibi2, Chad A Ulven3, Dean C Webster1, Ghasideh Pourhashem1.
Abstract
Biocomposites can be both environmentally and economically beneficial: during their life cycle they generally use and generate less petroleum-based carbon, and when produced from the byproduct of another industry or recycled back to the manufacturing process, they will bring additional economic benefits through contributing to a circular economy. Here we investigate and compare the environmental performance of a biocomposite composed of a soybean oil-based resin (epoxidized sucrose soyate) and flax-based reinforcement using life cycle assessment (LCA) methodology. We evaluate the main environmental impacts that are generated during the production of the bio-based resin used in the biocomposite, as well as the biocomposite itself. We compare the life cycle impacts of the proposed biocomposite to a functionally similar petroleum-based resin and flax fiber reinforced composite, to identify tradeoffs between the environmental performance of the two products. We demonstrate that the bio-based resin (epoxidized sucrose soyate) compared to a conventional (bisphenol A-based) resin shows lower negative environmental impacts in most studied categories. When comparing the biocomposite to the fossil fuel derived composite, it is demonstrated that using epoxidized sucrose soyate versus a bisphenol A (BPA)-based epoxy resin can improve the environmental performance of the composite in most categories except eutrophication and ozone layer depletion. For future designs, considering an alternative cross-linker to facilitate the bond between the bio-based resin and the flax fiber, may help improve the overall environmental performance of the biocomposite. An uncertainty analysis was also performed to evaluate the effect of variation in LCA model inputs on the environmental results for both the biocomposite and composite. The findings show a better overall carbon footprint for the biocomposite compared to the BPA-based composite at almost all times, demonstrating a good potential for marketability especially in the presence of incentives or regulations that address reducing the carbon intensity of products. This analysis allowed us to pinpoint hotspots in the biocomposite's supply chain and recommend future modifications to improve the product's sustainability.Entities:
Keywords: biocomposite; epoxidized sucrose soyate (ESS), life cycle assessment; soybean-based resin
Mesh:
Substances:
Year: 2020 PMID: 32560446 PMCID: PMC7356212 DOI: 10.3390/molecules25122797
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1Process flow for the production of ESS and ESS-based biocomposite, the dashed line indicates the system boundary.
Figure 2Epoxidation process of sucrose soyate [15].
LCI data for 10 kg of ESS production.
| Inputs | Output | |||
|---|---|---|---|---|
| Unit | Quantity | Unit | Quantity | |
| ESS 1 | kg | 9.825 | ||
| Sucrose soyate 2 | kg | 10 | ||
| Acetic Acid | g | 1575 | g | 1230 |
| Amberlite IR120 H 1 | g | 2000 | g | 2000 |
| Hydrogen peroxide 1 | g | 3410 | g | 1500 |
| Water 2 | g | 60,000 | ||
| Hexane 2 | g | 2620 | g | 1703 |
| Sodium carbonate 2 | g | 250 | g | 0 |
| Magnesium sulfate 1 | g | 2000 | g | 2000 |
| Sodium acetate 3 | g | 287 | ||
| Electricity | J | 1,062,120 | ||
| Heat | J | 54,286 |
1 Calculated based on Monono et al., 2015 [15]; 2 Monono et al., 2015 [15], 3 Salt generated when remaining acetic acid in the resin is neutralized with sodium carbonate.
Figure 3Life cycle environmental impacts of producing 1 kg of ESS using TRACI 2 method.
Figure 4Contribution of biocomposite’s constituents to examined environmental impacts.
Figure 5Comparing 1 kg ESS resin with 1 kg BPA-based resin.
Figure 6Comparing the environmental impacts of producing 1 kg of biocomposite with 1 kg of BPA-based composite using the TRAI 2 method.
Figure 7Uncertainty results for comparing biocomposite and petroleum-based composite, with a 95% confidence interval, demonstrating the likelihood of composite or biocomposite having higher or lower impact in each category.
Figure 8Probability distribution of Monte Carlo simulation results for global warming potential of biocomposite and petroleum-based composite, with 95% confidence interval.