Biofuel production from pipeline-transported lignocellulosic biomass via hydrothermal liquefaction: Process optimization and product characterization
Bibliographic record
Abstract
Biofuels are crucial for decarbonizing the mobility sector and achieving net-zero targets set in various jurisdictions. However, the large-scale supply of biomass to a commercial scale conversion facility remains a significant challenge. This study explores a novel approach to produce biofuels by integrating the hydrothermal liquefaction (HTL) process with pipeline hydro-transportation of biomass. The research examines critical process parameters, optimizes the HTL process, and characterizes the produced biocrude for efficient biofuel production from pipeline-transported biomass. The water-to-feed ratio, temperature, and residence time were found to be critical parameters affecting biocrude yield, with the water-to-feed ratio having significant influence in the integration of the two technologies. The optimal process parameters were: water-to-feed ratio of 15, temperature of 294 °C, initial pressure of 3.2 MPa, residence time of 0 min, and particle size range of 0.559 to 0.381 mm, which produced a biocrude with yield of 31.34 %, a higher heating value of 27.26 MJ/kg, and an energy recovery of 46.18 %. The biocrude contains phenols, ketones, aldehydes, furan derivatives, naphthalenol, and fatty acids, with phenolic compounds constituting ∼46 % of the total. The biocrude exhibits desirable properties like lower oxygen content, lower water content, and a higher heating value within the reported range for HTL biocrude; however, a high total acid number and a notable carbon residue content indicate the need for catalytic upgrading. This study demonstrates the technical viability of integrating pipeline hydro-transportation of biomass with HTL for biofuel production, paving the way for the future implementation of this technology integration on a commercial scale. • Study explores integration of pipeline transport with HTL for biocrude production. • Water-to-feed ratio was vital for biocrude production in the technology integration. • Optimum temperature and water-to feed ratio were 294 °C and 15:1, respectively. • At optimum, biocrude yield was 31.34 % with 27.26 MJ/kg energy content. • The biocrude requires upgrading due to high TAN, 28.8 % residue, and oxygenates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".