Biomass Based N/O Codoped Porous Carbons with Abundant Ultramicropores for Highly Selective CO 2 Adsorption
Congxiu Guo,
Ya Sun,
Hongyan Ren,
Bing Wang (),
Xili Tong (),
Xuhui Wang,
Yu Niu and
Jiao Wu ()
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Congxiu Guo: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
Ya Sun: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
Hongyan Ren: Jinzhong College of Information, Taigu 030800, China
Bing Wang: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
Xili Tong: State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, China
Xuhui Wang: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
Yu Niu: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
Jiao Wu: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
Energies, 2023, vol. 16, issue 13, 1-12
Abstract:
In this work, N/O codoped porous carbons (NOPCs) were derived from corn silk accompanied by Na 2 CO 3 activation. The porous structures and surface chemical features of as-prepared carbon materials were tailored by adjusting the Na 2 CO 3 mass ratio. After activation, the optimized sample (NOPC1) with abundant ultramicropores and pyrrolic N displays an enhanced CO 2 adsorption capacity of 3.15 mmol g ?1 and 1.95 mmol g ?1 at 273 K and 298 K at 1 bar, respectively. Moreover, this sample also exhibited high IAST selectivity (16.9) and Henry’s law selectivity (15.6) for CO 2 /N 2 at 298 K as well as moderate heat adsorption. Significantly, the joint effect between ultramicropore structure and pyrrolic N content was found to govern the CO 2 adsorption performance of NOPCs samples.
Keywords: biomass; corn silk; ultramicropore; nitrogen and oxygen co-doping; CO 2 adsorption (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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