Slow pyrolysis as a platform for negative emissions technology: An integration of machine learning models, life cycle assessment, and economic analysis
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From previous studies, the MSP of biochar production has been reported to be 838-1504 USD/tonne [41], and 774-1256 USD/tonne [42], depending on temperature, conversion rates, feedstock type, and price.
“From previous studies, the MSP of biochar production has been reported to be 838-1504 USD/tonne [41], and 774-1256 USD/tonne [42], depending on temperature, conversion rates, feedstock type, and price.”
From Lifecycle Assessment and Techno-Economic Analysis of Biochar Pellet Production from Forest Residues and Field Application (2022) · cites this paper as [42]
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References 49 · Cited by 271
- Authors
- Cheng, F., Luo, H., & Colosi, L. M.
- Affiliations
- University of Virginia (US)
- Corresponding author
- Colosi, Lisa M.
- Venue
- Energy Conversion and Management
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 223
- Pages
- 113258
- ISSN
- 0196-8904 (ISSN-L)
- OpenAlex
- W3048891512
- Cited by
- 271
- References
- 49
- Citations by year
- 2026: 47 · 2025: 57 · 2024: 48 · 2023: 57 · 2022: 39 · 2021: 21 · 2020: 2
- FWCI
- 9.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Energy Conversion and Management (publishedVersion)
- Funders
- G. Unger Vetlesen Foundation
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Thermochemical Biomass Conversion Processes
- Physical Sciences › Engineering › Mechanical Engineering › Carbon Dioxide Capture Technologies
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
- Keywords
- slow pyrolysis, biochar, negative emissions technologies, CO2 sequestration, random forest, pyrolysis temperature, crop residues, wood waste, sludge, lignocellulosic biomass, energy return on investment, global warming potential, economic analysis, life cycle assessment, machine learning prediction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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