A GIS-based assessment of the carbon emission reduction potential of the solar-enhanced char-cycling biomass pyrolysis process in China

Ruochen Li, Tianxin Meng, Gongxiang Song, Dexin Huang, Song Hu, Long Jiang, Jun Xu, Yi Wang, Sheng Su and Jun Xiang

Renewable Energy, 2024, vol. 237, issue PA

Abstract: Bioenergy and solar energy are the two widely used renewable energies, which have great potential to satisfy the global energy demand. Solar enhanced char-cycling biomass pyrolysis (SCCP) was proposed to integrate bioenergy and solar energy, could be used to make bioenergy fully carbon-negative. A geographical information system (GIS) based method was used to assess the GHG reduction potential and biofuel production potential of SCCP in China. Existing datasets were used to obtain geographical potential and biomass resource amount. Process simulation was conducted to obtain the technical data. The geographical potential results showed that with a DNI (direct normal irradiance) threshold of 1400 kWh/m2, the national suitable area for SCCP plant construction was 3.25 % of the total national area, the total convertible biofuel potential ranges from 1.86E+06 to 1.94E+06 GWh with different concentrating solar technologies. When considering biochar sequestration, the GHG emission reduction potential increased further, the total GHG emission reduction potential increased from 13.97 Mt CO2 eq to 15.42 Mt CO2 eq. Notably, Yunnan has the highest GHG emission reduction potential per unit of energy when running the pyrolysis process with solar energy, which was −8.58 g CO2 eq/kWh. The results revealed that the SCCP process could further decarbonize biofuel production in China.

Keywords: Solar biomass pyrolysis; Process simulation; Geographical information system (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:237:y:2024:i:pa:s0960148124015647

DOI: 10.1016/j.renene.2024.121496

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