Yongjun Yin

Dr. Yongjun Yin

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2021 in Energy
Verified
Journal Article
Closed access
YYYongjun Yin
Yongjun Yin
SCShaoxu Chen
Shaoxu Chen
XLXusheng Li
Xusheng Li
BJBo Jiang
Bo Jiang
JZJoe R Zhao
Joe R Zhao
GNGuangzai Nong
Guangzai Nong

1 November 2019 in Industrial Crops and Products
Verified
Journal Article
Closed access
GNGuangzai Nong
Guangzai Nong
PLPengbo Li
Pengbo Li
YLYijing Li
Yijing Li
DXDeyue Xing
Deyue Xing
TZTian Zhu
Tian Zhu
YYYongjun Yin
Yongjun Yin

27 September 2023 in Energy
Verified
Journal Article
Closed access
YYYongjun Yin
Yongjun Yin
JLJiang Liu
Jiang Liu
JYJingjing Yang
Jingjing Yang
YWYang Wang
Yang Wang
YJYanlong Jia
Yanlong Jia
YMYi Man
Yi Man

1 January 2019 in Chemical Physics Letters
Verified
Journal Article
Open access
GNGuangzai Nong
Guangzai Nong
YLYijing Li
Yijing Li
YYYongjun Yin
Yongjun Yin

30 April 2020 in Environment, Development and Sustainability
Verified
Journal Article
Closed access
PDF file
ZMZhichao Ma
Zhichao Ma
SCShaoxu Chen
Shaoxu Chen
YYYongjun Yin
Yongjun Yin
XLXiaodan Lu
Xiaodan Lu
YZYanying Zhou
Yanying Zhou
TLTingting Lin
Tingting Lin

2 February 2022 in ACS Omega
Verified
Journal Article
Open access
YYYongjun Yin
Yongjun Yin
SCShaoxu Chen
Shaoxu Chen
ZMZhichao Ma
Zhichao Ma
JZJoe Ru He Zhao
Joe Ru He Zhao
RKRichard J. Kerekes
Richard J. Kerekes
Yi ManYi Man
Yi Man
This study describes the optimization of a eucalyptus elemental chlorine-free (ECF) bleach plant to reduce adsorbable organic halogen (AOX). The correlations between operating conditions of each stage and pulp quality indices as well as the AOX content in wastewater are analyzed, taking an ECF bleaching technology (D0EpPD1) as an example. The calculation models of pulp quality indices and AOX content in wastewater are established. Then, an optimization model aiming at minimizing AOX emission is structured. The model shows a good simulation effect because the errors between the calculated and experimental values are within 6.3%. By analyzing the impact of various operating conditions on AOX emissions, it was found that chlorine dioxide reduced in the D0 stage has the greatest impact on AOX. The optimization results show that AOX can be reduced from 90.84 to 79.58 kg/h, a decrease of 12.5%. The verification experiment results based on the optimized operating conditions showed that the experimental results are in good agreement with the calculated results of the optimization model, and the effect of reducing AOX based on the optimization model is obvious.