Yong Sun

Dr. Yong Sun

School of Engineering, Northeast Agricultural University, Harbin 150030, China

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

View All Publications
22 December 2018 in Energies
Verified
Journal Article
Open access
PDF file
PLPengfei Li
Pengfei Li
WLWenzhe Li
Wenzhe Li
MSMingchao Sun
Mingchao Sun
XXXiang Xu
Xiang Xu
BZBo Zhang
Bo Zhang
YSYong Sun
Yong Sun
There is a lack of literature reporting the measurement and prediction of biochemical methane potential (BMP) of vegetable crop residues (VCRs) and similarly, the kinetic assessment on the anaerobic digestion process of VCR is rarely investigated. In this paper, the BMP tests of five different vegetable (snap bean, capsicum, cucumber, eggplant, and tomato) crop residues were conducted at feed to inoculum ratio (F/I) of 2.0 under mesophilic (36 ± 1 °C) conditions. A series of single-variable and multiple-variable regression models were built based on organic components (hemicellulose, cellulose, lignin, total fat, total sugar, and crude protein) for BMP prediction. Three kinetic models, including the first-order kinetic model, the Chen and Hashimoto model, and the modified Gompertz model, were used to simulate the methane yield results of VCR and obtain valuable model parameters simultaneously. As a result, the BMPs and volatile solids (VS) degradation degree of different VCRs were respectively in the range of 94.2–146.8 mL g−1 VS and 40.4–49.9%; the regression prediction models with variables lignin (R2 = 0.704, p = 0.076), variables crude protein and lignin (R2 = 0.976, p = 0.048), and variables total fat, hemicellulose, and lignin (R2 = 0.999, p = 0.027) showed the best performance on BMP prediction among the single-factor, two-factor, and three-factor models, respectively. In addition, compared to the other two kinetic models, the modified Gompertz model could be excellently fitted (R2 = 0.986–0.998) to the results of BMP experiment, verification deviations within 0.3%.

4 November 2020 in ACS Omega
Verified
Journal Article
Closed access
ZLZhiyuan Liu
Zhiyuan Liu
YSYong Sun
Yong Sun
XXXinrui Xu
Xinrui Xu
JQJingbo Qu
Jingbo Qu
BQBin Qu
Bin Qu

1 February 2021 in Bioresource Technology
Verified
Journal Article
Closed access
JLJinming Liu
Jinming Liu
SJShuo Jin
Shuo Jin
CBChanghao Bao
Changhao Bao
YSYong Sun
Yong Sun
WLWenzhe Li
Wenzhe Li

1 January 2021 in Bioresource Technology
Verified
Journal Article
Closed access
XCXiaodong Chu
Xiaodong Chu
MAMukesh Kumar Awasthi
Mukesh Kumar Awasthi
YLYuyingnan Liu
Yuyingnan Liu
QCQiushuang Cheng
Qiushuang Cheng
JQJingbo Qu
Jingbo Qu
YSYong Sun
Yong Sun

20 January 2023 in Bioresource Technology
Verified
Journal Article
Closed access
XHXinning Huang
Xinning Huang
XMXinying Miao
Xinying Miao
XCXiaodong Chu
Xiaodong Chu
LLLina Luo
Lina Luo
HZHongqiong Zhang
Hongqiong Zhang
YSYong Sun
Yong Sun

11 March 2023 in Bioresource Technology
Verified
Journal Article
Closed access
HZHongqiong Zhang
Hongqiong Zhang
RZRui Zhang
Rui Zhang
YSYunong Song
Yunong Song
XMXinying Miu
Xinying Miu
QZQuanguo Zhang
Quanguo Zhang
YSYong Sun
Yong Sun