377
Views
9
CrossRef citations to date
0
Altmetric
Research Article

Effect of temperature on the physicochemical characteristics of pine nut shell pyrolysis products in a screw reactor

, , &
Pages 2831-2843 | Received 27 Jan 2019, Accepted 30 Apr 2019, Published online: 17 May 2019
 

ABSTRACT

Pyrolysis experiments of pine nut shells (PNSs) were carried out in a screw reactor at 300–700°C with approximately 98% energy yields. The analysis results showed that higher temperatures result in elevated heating values (HVs) of products but reduced biochar and bio-oil yields. The HVs of pyrolytic gas were remarkably influenced by proportions of CH4 and H2. Bio-oil of PNSs consisted primarily of phenols, acids, aldehydes, ketones, furans, and aromatic hydrocarbons. Five hundred degree Celsius was considered as optimal temperature for PNS pyrolysis, and biochar was the primary product with a yield of 37.11% and better Cu2+, Ni2+, and Zn2+ adsorption properties.

Acknowledgement

The authors would like to thank Chenxi Zhao for assisting with experiments.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [51706040], the University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province [UNPYSCT-2017001], the Heilongjiang Postdoctoral Science Foundation [LBH-Q17024], Academic Backbone Project of Northeast Agricultural University [18XG14], and the Scientific Research Foundation for Returned Scholars of Heilongjiang Province.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.