Hesheng Zheng
Hesheng Zheng has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Lei Song
Institute of Urban and Rural Mining, Changzhou University, Changzhou 213164, China
2 shared publications - Tingzhou Lei
Institute of Urban and Rural Mining, Changzhou University, Changzhou 213164, China
2 shared publications - Yantao Yang
Institute of Urban and Rural Mining, Changzhou University, Changzhou 213164, China
2 shared publications - Yilin Shen
Institute of Urban and Rural Mining, Changzhou University, Changzhou 213164, China
2 shared publications - Yuanna Li
Institute of Urban and Rural Mining, Changzhou University, Changzhou 213164, China
2 shared publications - Mei Yang
Institute of Urban and Rural Mining, Changzhou University, Changzhou 213164, China
1 shared publication
Latest Publications
- Open Access
- 31 January 2025
- Published by MDPI AG in Agriculture
- Vol. 15 (3) , 316
Effects of Different Biomass Types on Pellet Qualities and Processing Energy Consumption
This work conducts a single-factor experiment to study the effects of biomass types on the relax density, volume expansion, durability, hydrophobicity, and processing energy consumption. We analyze the differences in the quality of the pellets, and optimize the compaction conditions suitable for different biomass types including straw, hardwood, shell, and herbaceous plant. The results indicated that with a compressing force of 60~1500 N, compressing time of 10 s, powder size of less than 0.5 mm, and moisture content of 10%, the relax densities of corn straw, rice straw, selenium-rich rice straw, weigela japonica branches, and camphor leaves range from 360 to 820 kg/m3, with a processing energy consumption of 17,360 to 28,740 J/kg; meanwhile, the relax densities of argy wormwood, forage grass, green grass, and peanut shells range from 340 to 840 kg/m3, with a processing energy consumption of 33,510 to 73,700 J/kg. Therefore, the compaction pretreatment effectively regulates the density of biomass pellets and reduces the processing energy consumption. This study analyzed the differences in the quality of pellets caused by the inherent characteristics of biomass, providing strong support for the directional depolymerization and enhanced pretreatment technology for the scaled production of biomass alcohol fuels.
- 31 January 2025
- Published by MDPI AG in Agriculture
- Vol. 15 (3) , 316
Open AccessEffects of Different Biomass Types on Pellet Qualities and Processing Energy Consumption
This work conducts a single-factor experiment to study the effects of biomass types on the relax density, volume expansion, durability, hydrophobicity, and processing energy consumption. We analyze the differences in the quality of the pellets, and optimize the compaction conditions suitable for different biomass types including straw, hardwood, shell, and herbaceous plant. The results indicated that with a compressing force of 60~1500 N, compressing time of 10 s, powder size of less than 0.5 mm, and moisture content of 10%, the relax densities of corn straw, rice straw, selenium-rich rice straw, weigela japonica branches, and camphor leaves range from 360 to 820 kg/m3, with a processing energy consumption of 17,360 to 28,740 J/kg; meanwhile, the relax densities of argy wormwood, forage grass, green grass, and peanut shells range from 340 to 840 kg/m3, with a processing energy consumption of 33,510 to 73,700 J/kg. Therefore, the compaction pretreatment effectively regulates the density of biomass pellets and reduces the processing energy consumption. This study analyzed the differences in the quality of pellets caused by the inherent characteristics of biomass, providing strong support for the directional depolymerization and enhanced pretreatment technology for the scaled production of biomass alcohol fuels.
- Open Access
Research on the Multiple Linear Regression Model of Color Difference and Physicochemical Properties of Thermal Treated Biomass
This study assesses the relationship between the color changes and physicochemical properties of thermally treated biomass feedstocks, using colorimetric measurements to study the color difference values of straw, forest, and grass undergoing thermal treatments at 120~200 °C. We establish a multiple linear regression model to correlate the physicochemical properties of the treated solid products with three-dimensional color coordinates (L*, a*, b*). The results indicate that as the treatment temperature increases, the color difference () value also increases. Meanwhile, the number of conjugated structures in the chromophore groups increases, causing the color of the solid products to tend toward black. The ash, volatile, fixed carbon, carbon, hydrogen, oxygen, nitrogen, higher calorific value, solid yield, energy yield, bulk density, and water contact angle of the thermally treated biomass feedstocks have a statistical measure of R2 ≥ 0.90 with the three-dimensional color coordinates, indicating a good correlation. Therefore, it is possible to quickly predict the basic physicochemical properties of thermally treated biomass feedstocks based on their surface color, providing a theoretical basis for the rapid quality assessment of solid products using CIELAB color changes in industrial applications.Open AccessResearch on the Multiple Linear Regression Model of Color Difference and Physicochemical Properties of Thermal Treated Biomass
This study assesses the relationship between the color changes and physicochemical properties of thermally treated biomass feedstocks, using colorimetric measurements to study the color difference values of straw, forest, and grass undergoing thermal treatments at 120~200 °C. We establish a multiple linear regression model to correlate the physicochemical properties of the treated solid products with three-dimensional color coordinates (L*, a*, b*). The results indicate that as the treatment temperature increases, the color difference () value also increases. Meanwhile, the number of conjugated structures in the chromophore groups increases, causing the color of the solid products to tend toward black. The ash, volatile, fixed carbon, carbon, hydrogen, oxygen, nitrogen, higher calorific value, solid yield, energy yield, bulk density, and water contact angle of the thermally treated biomass feedstocks have a statistical measure of R2 ≥ 0.90 with the three-dimensional color coordinates, indicating a good correlation. Therefore, it is possible to quickly predict the basic physicochemical properties of thermally treated biomass feedstocks based on their surface color, providing a theoretical basis for the rapid quality assessment of solid products using CIELAB color changes in industrial applications.