Co-pelletization of edible fungi cultivation residue and pine sawdust: The optimal variable combinations

doi:10.1002/ep.13384

GIEC OpenIR

	Co-pelletization of edible fungi cultivation residue and pine sawdust: The optimal variable combinations
	Li, Weizhen1,2,3,4 ; Bu, Wenjing 5; Jiang, Yang2,3,4 ; Guo, Weiwei 1; Wang, Yan 1; Yin, Xiuli2,3,4
	2019-12-27
发表期刊	ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
ISSN	1944-7442
页码	10
通讯作者	Wang, Yan(wangyan371@zzu.edu.cn)
摘要	Co-pelletization of edible fungi cultivation residue and pine sawdust would help reduce the problems of residue disposal and resource limitation of pellet production. The objective of this work was to obtain the optimal variable formulations for pellets production from blends of Flammulina velutipes residue and Pinus sylvestris var. mongolica Litv. sawdust. Response surface methodology was employed to design the experiments. A uniaxial piston-cylinder compression apparatus was used to produce pellets. The effects of variables of residue adding amount, moisture content, temperature, and pressure on responses of specific energy consumption, relaxed density, and Meyer Hardness were analyzed. Variance analysis of the data demonstrates that the differences between adjusted R-2 and predicted R-2 values are all within 0.2. The optimal variable combinations with residue content varying 0-40% were obtained according to the set response goals. Validation experiments were carried out using the same apparatus and relative percentage errors between the response predicted values and the experimental results were analyzed to improve the models. Most final errors were reduced below 10% indicating the high accuracy of the models. Further calculation of calorific value and ash content manifests that pellet performances could be improved by co-pelletization.
关键词	biosolids fungi sawdust temperature waste disposal
DOI	10.1002/ep.13384
关键词[WOS]	MOISTURE-CONTENT ; CHLORELLA-VULGARIS ; SEWAGE-SLUDGE ; WOOD RESIDUES ; BIOMASS ; PELLETS ; DENSITY ; QUALITY ; RAW ; TEMPERATURE
收录类别	SCI
语种	英语
资助项目	Chinese Academy of Sciences Key Laboratory of Renewable Energy[y807j91001] ; Guangdong Provincial Natural Science Foundation Project[2017B030308002] ; Heilongjiang Science and Technology Planning Project[KS2018KH0090] ; Chinese Academy of Sciences ; Guangdong Provincial Natural Science Foundation ; National Natural Science Foundation of China[51661145022]
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
项目资助者	Chinese Academy of Sciences Key Laboratory of Renewable Energy ; Guangdong Provincial Natural Science Foundation Project ; Heilongjiang Science and Technology Planning Project ; Chinese Academy of Sciences ; Guangdong Provincial Natural Science Foundation ; National Natural Science Foundation of China
WOS类目	Green & Sustainable Science & Technology ; Engineering, Environmental ; Engineering, Chemical ; Environmental Sciences
WOS记录号	WOS:000504513500001
出版者	WILEY
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.giec.ac.cn/handle/344007/26245
专题	中国科学院广州能源研究所
通讯作者	Wang, Yan
作者单位	1.Zhengzhou Univ, Sch Chem Engn & Energy, Zhengzhou, Henan, Peoples R China 2.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou, Guangdong, Peoples R China 3.Chinese Acad Sci, Key Lab Renewable Energy, Guangzhou, Guangdong, Peoples R China 4.Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou, Guangdong, Peoples R China 5.Henan Univ Anim Husb & Econ, Sch Energy & Power Engn, Zhengzhou, Henan, Peoples R China
第一作者单位	中国科学院广州能源研究所
推荐引用方式 GB/T 7714	Li, Weizhen,Bu, Wenjing,Jiang, Yang,et al. Co-pelletization of edible fungi cultivation residue and pine sawdust: The optimal variable combinations[J]. ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY,2019:10.
APA	Li, Weizhen,Bu, Wenjing,Jiang, Yang,Guo, Weiwei,Wang, Yan,&Yin, Xiuli.(2019).Co-pelletization of edible fungi cultivation residue and pine sawdust: The optimal variable combinations.ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY,10.
MLA	Li, Weizhen,et al."Co-pelletization of edible fungi cultivation residue and pine sawdust: The optimal variable combinations".ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY (2019):10.