Title: An experimental study of single unconventional biomass pellets: Ignition characteristics, combustion processes, and artificial neural network modeling
Abstract: International Journal of Energy ResearchVolume 44, Issue 4 p. 2952-2965 RESEARCH ARTICLE An experimental study of single unconventional biomass pellets: Ignition characteristics, combustion processes, and artificial neural network modeling Haobo Bi, Haobo Bi Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, ChinaSearch for more papers by this authorQizhao Lin, Corresponding Author Qizhao Lin [email protected] orcid.org/0000-0003-2572-2811 Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, China Correspondence Qizhao Lin, Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Jinzhai Road, Hefei 230026, China. Email: [email protected] for more papers by this authorChengxin Wang, Chengxin Wang Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, ChinaSearch for more papers by this authorXuedan Jiang, Xuedan Jiang Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, ChinaSearch for more papers by this authorChunlong Jiang, Chunlong Jiang Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, ChinaSearch for more papers by this authorLin Bao, Lin Bao Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, ChinaSearch for more papers by this author Haobo Bi, Haobo Bi Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, ChinaSearch for more papers by this authorQizhao Lin, Corresponding Author Qizhao Lin [email protected] orcid.org/0000-0003-2572-2811 Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, China Correspondence Qizhao Lin, Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Jinzhai Road, Hefei 230026, China. Email: [email protected] for more papers by this authorChengxin Wang, Chengxin Wang Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, ChinaSearch for more papers by this authorXuedan Jiang, Xuedan Jiang Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, ChinaSearch for more papers by this authorChunlong Jiang, Chunlong Jiang Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, ChinaSearch for more papers by this authorLin Bao, Lin Bao Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, ChinaSearch for more papers by this author First published: 08 January 2020 https://doi.org/10.1002/er.5117Citations: 10 Funding information: National Natural Science Foundation of China, Grant/Award Number: 51376171 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Summary This study applied the artificial neural networks (ANNs) model to the thermal data obtained by suspension ignition and combustion experiment of single peanut shells (PS, millimeter scale) pellet under O2/CO2 atmosphere. ANN11 was the best ANN model for predicting the relevant parameters of PS combustion. The coincidence between ANN prediction data and experimental data was over 99%. Two modes of biomass pellet ignition were observed: homogeneous ignition of volatiles and hetero-homogeneous ignition of volatiles and char simultaneously. The ignition mode was transformed from homogeneous ignition to hetero-homogeneous ignition when oxygen concentration was 50%. In addition, it was observed that ignition at the bottom emerged first, and then the upper end was ignited, finally generating an envelope flame. This phenomenon occurred when gas flow temperature exceeded 873 K or the oxygen concentration was greater than 50%. The reduction of ignition delay time and internal ignition temperature from 21% to 50% oxygen concentration was more intense than that of 50% to 100% oxygen concentration. Increasing oxygen concentration or temperature resulted in a shorter, brighter, and more stable volatile flame of biomass pellets, which reduced volatile burnout time. Nevertheless, the impact of gas flow rate on biomass combustion was intricate and irregular. Citing Literature Volume44, Issue425 March 2020Pages 2952-2965 RelatedInformation