The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Bioenergy in China: Evaluation of domestic biomass resources and the associated greenhouse gas mitigation potentials
Open accessAbstract
As bioenergy produces neutral or even negative carbon emissions, the assessment of biomass resources and associated emissions mitigation is a key step toward a low carbon future. However, relevant comprehensive estimates lack in China. Here, we measure the energy potential of China's domestic biomass resources (including crop residues, forest residues, animal manure, municipal solid waste and sewage sludge) from 2000 to 2016 and draw the spatial-temporal variation trajectories at provincial resolution. Scenario analysis and life cycle assessment are also applied to discuss the greenhouse gas mitigation potentials. Results show that the collectable potential of domestic biomass resources increased from 18.31 EJ in 2000 to 22.67 EJ in 2016 with overall uncertainties fluctuating between (−26.6%, 39.7%) and (−27.6%, 39.5%). Taking energy crops into account, the total potential in 2016 (32.69 EJ) was equivalent to 27.6% of China's energy consumption. If this potential can be realized in a planned way to displace fossil fuels during the period 2020–2050, cumulative greenhouse gas emissions mitigation would be in the range of 1652.73–5859.56 Mt CO2-equivalent, in which the negative greenhouse gas emissions due to the introduction of bioenergy with carbon capture and storage would account for 923.78–1344.13 Mt CO2-equivalent. Contrary to increasing bioenergy potentials in most provinces, there are declining trends in Tibet, Beijing, Shanghai and Zhejiang. In addition, Yunnan, Sichuan and Inner Mongolia would have the highest associated greenhouse gas mitigation potentials. This study can provide valuable guidance on the exploitation of China's untapped biomass resources for the mitigation of global climate change.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Prioritizing Climate Change Adaptation Needs for Food Security in 2030
Lobell, D. B., Burke, M. B., Tebaldi, C., Mastrandrea, M. D., Falcon, W. P., & Naylor, R. L. (2008) · Science · doi:10.1126/science.1152339 · Cited by 3,105
China and India lead in greening of the world through land-use management
Chen, C., Park, T., Wang, X., Piao, S., Xu, B., Chaturvedi, R. K., Fuchs, R., Brovkin, V., Ciais, P., Fensholt, R., et al. (2019) · Nature Sustainability · doi:10.1038/s41893-019-0220-7 · Cited by 2,965
Sustainable biochar to mitigate global climate change
Woolf, D., Amonette, J. E., Street-Perrott, F. A., Lehmann, J., & Joseph, S. (2010) · Nature Communications · doi:10.1038/ncomms1053 · Cited by 2,680
Biophysical and economic limits to negative CO2 emissions
Smith, P., Davis, S. J., Creutzig, F., Fuss, S., Minx, J., Gabrielle, B., Kato, E., Jackson, R. B., Cowie, A., Kriegler, E., et al. (2016) · Nature Climate Change · doi:10.1038/nclimate2870 · Cited by 1,440
Scenarios towards limiting global mean temperature increase below 1.5 °C
Rogelj, J., Popp, A., Calvin, K. V., Luderer, G., Emmerling, J., Gernaat, D., Fujimori, S., Strefler, J., Hasegawa, T., Marangoni, G., et al. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0091-3 · Cited by 1,341
The effect of bioenergy expansion: food, energy, and environment
Popp, J., Lakner, Z., Harangi-Rákos, M., & Fári, M. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.01.056 · Cited by 967
Municipal solid waste (MSW) as a renewable source of energy: Current and future practices in China
Cheng, H., & Hu, Y. (2010) · Bioresource Technology · doi:10.1016/j.biortech.2010.01.040 · Cited by 783
China’s livestock transition: Driving forces, impacts, and consequences
Bai, Z., Ma, W., Ma, L., Velthof, G. L., Wei, Z., Havlík, P., Oenema, O., Lee, M. R. F., & Zhang, F. (2018) · Science Advances · doi:10.1126/sciadv.aar8534 · Cited by 491
Impacts of climate change on agriculture: Evidence from China
Chen, S., Chen, X., & Xu, J. (2016) · Journal of Environmental Economics and Management · doi:10.1016/j.jeem.2015.01.005 · Cited by 434
Can BECCS deliver sustainable and resource efficient negative emissions?
Fajardy, M., & Mac Dowell, N. (2017) · Energy & Environmental Science · doi:10.1039/c7ee00465f · Cited by 392
Cited by
China’s Energy Transition Pathway in a Carbon Neutral Vision
Zhang, S., & Chen, W. (2022) · Engineering · doi:10.1016/j.eng.2021.09.004 · Cited by 280
Life cycle assessment and techno-economic analysis of sustainable bioenergy production: a review
Osman, A. I., Fang, B., Zhang, Y., Liu, Y., Yu, J., Farghali, M., Rashwan, A. K., Chen, Z., Chen, L., Ihara, I., et al. (2024) · Environmental Chemistry Letters · doi:10.1007/s10311-023-01694-z · Cited by 236
Alengebawy, A., Ran, Y., Osman, A. I., Jin, K., Samer, M., & Ai, P. (2024) · Environmental Chemistry Letters · doi:10.1007/s10311-024-01789-1 · Cited by 247
“An example project that can provide carbon offsets involves collecting methane emissions from organic waste [83, 143].”
Alengebawy, A., Mohamed, B. A., Ghimire, N., Jin, K., Liu, T., Samer, M., & Ai, P. (2022) · Environmental Research · doi:10.1016/j.envres.2022.113632 · Cited by 91
Nie, Y., Deng, M., Shan, M., & Yang, X. (2023) · Energy Policy · doi:10.1016/j.enpol.2023.113659 · Cited by 60
Metadata
- Authors
- Kang, Y., Yang, Q., Bartocci, P., Wei, H., Liu, S. S., Wu, Z., Zhou, H., Yang, H., Fantozzi, F., & Chen, H.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 127
- Pages
- 109842
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W3015653963
- Cited by
- 268
- References
- 81
- FWCI
- 17.58
- Type
- journal article
- Language
- en
- Open access
- green
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Bioenergy in China: Evaluation of domestic biomass resources and the associated greenhouse gas mitigation potentials. https://app.cochat.ai/papers/10.1016/j.rser.2020.109842
- The paper
- Kang, Y., Yang, Q., Bartocci, P., Wei, H., Liu, S. S., Wu, Z., Zhou, H., Yang, H., Fantozzi, F., & Chen, H. (2020). Bioenergy in China: Evaluation of domestic biomass resources and the associated greenhouse gas mitigation potentials. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2020.109842
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
