生物质热解产物综合利用方案及经济可行性

doi:10.3969/j.issn.0253-2417.2021.01.014

摘要/Abstract

摘要：

通过收集秸秆类生物质热解数据，构建热解产物数据库，从而建立SVM生物质热解产物模型，提出基于农业园区的生物质分级利用一体化方案，同时利用产物模型基于该方案进行个性化种植优化调节。在处理量400 kg/h的情况下，与传统秸秆还田方案相比，该方案能够处理掉25%~50%的还田秸秆。在秸秆处理和肥料采买项目上，园区可节省相关支出近30%，采取优化方案可在此基础上再减少支出近4%。

关键词: 农林废弃物, 热解, SVM算法, 缓控释, 一体化方案

Abstract:

In this study, we developed an integrated scheme of biomass grading utilization, based on an agricultural park, by collecting straw biomass pyrolysis data, establishing a pyrolysis product database, and establishing an SVM biomass pyrolysis product model of the database. The product model was used to optimize individualized planting based on the scheme. When the treatment capacity was 400 kg/h, the scheme enabled disposal of 25%-50% of the returning straw, compared with that in the traditional straw-returning scheme. In the straw treatment project and fertilizer purchase, the park could save on nearly 30% of the related expenditure, and the optimization scheme could reduce expenditure by nearly 4%.

Key words: agricultural wastes, pyrolysis, SVM algorithm, low and controlled release, integrated scheme

中图分类号:

TQ35
S216.2

张欣驰, 董善美, 王粤, 吴石亮, 肖睿. 生物质热解产物综合利用方案及经济可行性[J]. 林产化学与工业, 2021, 41(1): 100-106.

Xinchi ZHANG, Shanmei DONG, Yue WANG, Shiliang WU, Rui XIAO. Comprehensive Utilization Scheme and Economic Feasibility of Biomass Pyrolysis Products[J]. Chemistry and Industry of Forest Products, 2021, 41(1): 100-106.

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生物质种类 biomass species	数据集data set		文献 reference
生物质种类 biomass species	训练集 training set	预测集 prediction set	文献 reference
玉米芯corncob	8	2	[8]
木薯杆cassava bar	7	2	[9-10]
木薯根茎cassava rootstock	10	2	[9-10]
水稻秸秆rice straw	10	3	[11-12]
小麦秸秆wheat straw	5	1	[12]
玉米秸秆corn straw	18	6	[11-17]
油菜秸秆rapestraw	5	1	[18]
脱灰油菜秸秆ashless rape straw	2	1	[19]
花生秸秆peanut straw	5	1	[19]
芝麻秸秆sesame straw	4	1	[19]
棉花秸秆cotton straw	5	2	[20]
大豆秸秆soybean straw	5	2	[11]

模型models	样本集sample set	样本数numbers	MAE	RMSE	R
气产率gas yield	训练集training set	84	0.3255	1.0568	0.9949
	预测集prediction set	24	1.7278	2.0892	0.8882
炭产率char yield	训练集training set	84	0.412	1.4043	0.9940
	预测集prediction set	24	1.4358	1.7578	0.9413
油产率oil yield	训练集training set	84	0.3589	1.1077	0.9962
	预测集prediction set	24	1.8461	2.2135	0.9320

项目 project	明细 details	收支/(元·t^-1) income and expenditure/ (yuan·t^-1)
运行费用 operation cost	捆扎运输^[24] binding transportation	-136.84
	水电hydropower	-111.93
	燃料^[25]fuels	-16.00
	人力labour	-150.00
	折旧^[26]depreciation	-48.17
	其他others	-2627.73
经营价值 business value	生物炭bio-char	+5360.00
经营价值 business value	生物油bio-oil	+39770.00
净利润profits		+42039.33

项目 project	明细 details	方案1 plan1	方案2 plan2	方案3 plan3
处理费用 treatment cost	秸秆还田^[27] straw returning	0.69	0.59	1.00
	旋耕施肥^[27] rotary tillage	2.06	1.77	3.00
	机械人工^[27] labour	0.69	0.59	1.00
热解方案运行费用 scheme operation cost	水电hydropower	0.28	0.56	/
	燃料^[24] fuels	0.04	0.08
	人力labour	1.50	3.00
	捆扎运输^[25] binding transportation	0.34	0.67
	折旧^[26] depreciation	5.78	5.78
	其他others	12.46	19.47
肥料采买费用 purchase cost	普通大田肥料field fertilizer	3.50	3.50	/
	普通花卉蔬果肥料vegetable and fruit fertilizer	202.30	202.30	/
	炭基缓释复合肥料slow release compound fertilizer	/	/	8.40
	包膜控释肥料coated controlled release fertilizer	/	/	325.00
总支出total expenditure		229.64	238.31	338.40

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