Cited by 104Bioenergy crop production and managementBiofuel production and bioconversionBioeconomy and Sustainability Development

China's bioenergy potential

SANG, TAO, ZHU, WEIXING·2011·GCB Bioenergy

Abstract

Despite great enthusiasm about developing renewable energy in China, the country's bioenergy potential remains unclear. Traditional utilization of bioenergy through primarily household combustion of crop residue and fuelwood is still a predominant energy source for rural China. More efficient utilization of ∼300 million tons of crop residues for bioelectricity generation could add a couple of percent of renewable energy to China's total energy production. With <9% of the world's arable land supporting ∼20% of the world's population, China is already a net grain importer and has little extra farmland for producing a significantly additional amount of biofuels from first-generation energy crops, such as maize, sugarcane, and soybean. Second-generation energy crops hold the greatest potential for bioenergy development worldwide. Miscanthus, a native perennial C4 grass that produces high biomass across almost the entire climatic zone of China, is the most promising second-generation energy crop to domesticate and cultivate. A reasonable near-term goal is to produce 1 billion tons of Miscanthus biomass annually from ∼100 million hectares of marginal and degraded land concentrated in northern and northwestern China. This can generate ∼1458 TW h electricity and mitigate ∼1.7 billion tons of CO2 emission from power coal, which account for ∼45% of China's electricity output and ∼28% of CO2 emission in 2007. Furthermore, growing perennial grasses on marginal and degraded land will contribute to the ongoing efforts in China to restore vast areas of land under serious threat of desertification. With this potential taken into account, bioenergy can play a major role in meeting China's rapidly growing energy demand while substantially reducing greenhouse gas emission.

Integrity signals

Registry

Crossref · 10.1111/j.1757-1707.2010.01064.x

Cites

96 of 96 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The direct replacement of grassland by several biofuel crops could enhance local productivity and help maintain ecosystem functions.

    “the direct replacement of grassland by several biofuel crops could enhance the local productivity and help maintain the ecosystem functions”

    From Bioenergy production and environmental impacts (2018) · cites this paper as Sang and Zhu 2011

  • Growing energy crops on either low-productive or marginal lands can improve landscape design, and better management practices can reduce the risk of biodiversity loss at locations, although this requires further studies.

    “growing energy crops on either low-productive or marginal lands can improve the landscape design, and better management practices can reduce the risk of biodiversity loss at locations, although this requires further studies”

    From Bioenergy production and environmental impacts (2018) · cites this paper as Sang and Zhu 2011

  • Converting all degraded land in China to Miscanthus can achieve 1 billion tons of biofuel feedstock.

    “It was estimated by Sang and Zhu (2011) that China has above 100 Mha of land potentially suitable for growing bioenergy crops, and the crops can achieve 1 billion tons of biofuel feedstock if converting all the degraded land to Miscanthus.”

    From Bioenergy production and environmental impacts (2018) · cites this paper as Sang and Zhu (2011)

  • Burning crop residues releases carbon stored in the system and causes air pollution.

    “However, as reported by Sang and Zhu (2011), about 200 Mt of crop residues were combusted at low conversion efficiency and above 100 Mt were burned directly in field, releasing more carbon that are already stored in the system and absolutely causing air pollution.”

    From Bioenergy production and environmental impacts (2018) · cites this paper as Sang and Zhu (2011)

  • China has above 100 Mha of land potentially suitable for growing bioenergy crops.

    “It was estimated by Sang and Zhu (2011) that China has above 100 Mha of land potentially suitable for growing bioenergy crops, and the crops can achieve 1 billion tons of biofuel feedstock if converting all the degraded land to Miscanthus.”

    From Bioenergy production and environmental impacts (2018) · cites this paper as Sang and Zhu (2011)

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
SANG, T., & ZHU, W.
Affiliations
  • Michigan State University (US)
  • Binghamton University (US)
Corresponding author
SANG, TAO
Venue
GCB Bioenergy
Publisher
Wiley
Published
2011-02-28
Volume
3
Issue
2
Pages
79-90
ISSN
1757-1693 (ISSN-L)
OpenAlex
W1936979338
Cited by
104
References
96
Citations by year
2025: 4 · 2024: 1 · 2023: 4 · 2022: 8 · 2021: 6 · 2020: 6 · 2019: 5 · 2018: 8 · 2017: 5 · 2016: 7 · 2015: 9 · 2014: 16 · 2013: 11 · 2012: 5
FWCI
16.99
Type
journal article
Language
en
Open access
closed
Locations
GCB Bioenergy (publishedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
  • Physical Sciences › Engineering › Biomedical Engineering › Biofuel production and bioconversion
  • Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Bioeconomy and Sustainability Development
Keywords
bioenergy potential, China, crop residues, bioelectricity generation, fuelwood, household energy consumption, second-generation biofuels, Miscanthus, perennial grasses, land restoration, desertification, CO2 emission reduction, renewable energy, energy demand

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