广西中粮20万吨/年木薯燃料乙醇净能量分析

广西中粮20万吨/年木薯燃料乙醇装置建成后经历多次工艺改造,为了评估广西装置的能量投入/产出,利用国内已有的全生命周期模型进行了净能量分析。计算结果表明,广西装置的净能量为9.56 MJ/L乙醇。其中乙醇转化环节的能量投入占总能量投入的51.3%,而其中精馏工序仅蒸汽消耗即占乙醇转化总能耗的61.5%。副产品提供的能量可补偿5.03 MJ/L乙醇。因此,原料的综合利用是广西装置提高能源利用效率的重要措施,精馏工序的节能改造对净能量具有重要影响。最后展望了木薯燃料乙醇的发展前景。     

黄土高原半干旱草地地表能量通量及闭合率

利用兰州大学半干旱气候与环境观测站(简称SACOL站)2008年的湍流、辐射、土壤温度和通量梯度观测资料,分析了地表能量通量的日变化、季节变化及能量分配特征,讨论了典型黄土高原沟壑区土壤热量储存对地表能量闭合率的影响.结果表明:黄土高原半干旱草地全年获得的净辐射约为2.269×103 MJ/m2,感热、潜热和土壤热通量年总量分别为1.210×103 MJ/m2、1.117×103 MJ/m2和0.069×103 MJ/m2;能量平衡各分量季节变化明显,日变化呈单峰型.从各能量分量占净辐射的比例来看,黄土高原半干旱草地净辐射主要以感热形式加热大气.草原生长期的能量闭合率为86.8％,非生长期的能量闭合率为76.5％.与未考虑0-5cm深度的土壤热量储存相比,草原生长期能量闭合率提高了11.3％,非生长期能量闭合率提高了12.0％.     

黄淮海平原豫北地区农林业系统的能量研究

对黄淮海平原豫北地区农林业系统３种群落类型（沙兰杨－小麦·玉米（ＰＯＴＺ）、泡桐－小麦·玉米（ＰＡＴＺ）和苹果－小麦·花生（ＭＴＡ））进行了研究,结果表明,ＰＯＴＺ类型的年群落净固定能量为４３．６２３５×１０１０Ｊ·ｈａ－１,ＰＡＴＺ为４５．６４２６×１０１０Ｊ·ｈａ－１,ＭＴＡ为４９．６０００×１０１０Ｊ·ｈａ－１．年群落现存能量分别为５５．２１７４×１０１０,５７．７５９５×１０１０和７８．４６９９×１０１０Ｊ·ｈａ－１;群落的光能利用率分别为１．０００,１．０４７和１．１３８％．群落的能量效率分别比传统的农田系统增加１１．８３、１４．４５和２８．２５％．在农业林业系统中,苹果－小麦·花生群落类型为最佳群落类型．     

以玉米秸秆为原料同步糖化发酵生产燃料乙醇

以玉米秸秆为原料,经酸法预处理后,采用同步糖化发酵SSF工艺生产燃料乙醇。正交试验获得的最佳体系为:培养温度34℃、发酵pH值5.5、发酵的液固比8:1、当发酵108h后,乙醇浓度可达8.33g/L。该实验为纤维质燃料乙醇的产业化生产提供技术依据。     

留茬方式对小麦间作玉米产量和水分利用效率的影响

小麦/玉米间作是河西绿洲灌区主要间作模式,但传统间作和套种需水量大,使该地区水资源紧张.2010年在甘肃河西走廊石羊河绿洲灌区进行大田试验,研究传统小麦秸秆焚烧、秸秆翻还和秸秆立茬3种留茬方式对小麦/玉米间作作物籽粒产量、水分利用效率(WUE)和经济效益的影响.结果表明： 与焚烧和翻还的籽粒产量相比,立茬小麦单作分别增加7.2%和5.1%,立茬小麦间作分别增加6.2%和5.1%,立茬玉米单作分别增加4.7%和2.5%,立茬玉米间作分别增加7.2%和3.3%;与焚烧和翻还的WUE相比,立茬小麦单作分别增加20.4%和16.2%,立茬小麦间作分别增加17.9%和14.6%,立茬玉米单作分别增加16.7%和10.9%,立茬玉米间作分别增加11.8%和17.0%.就单作小麦、单作玉米和小麦/玉米平均值而言,焚烧、翻还、立茬处理的纯收益分别为10946、11471和13454元·hm^-2.从籽粒产量、水分利用效率和纯收益等方面考虑,立茬种植方式为甘肃省河西绿洲灌区小麦/玉米最佳种植模式.     

西双版纳热带季节雨林水热通量

利用西双版纳热带季节雨林2003和2004年常规气象、生物量以及水热通量观测资料,对该林地两年内各能量分量的数值大小和变化规律、能量分配以及水量平衡特征等进行了分析研究。结果表明,2003和2004年净辐射总量分别为3516.4MJ/(m.2a)和3516.6MJ/(m.2a)。在能量分配过程中潜热通量占优势,2003年和2004年的总量分别是相应年份净辐射总量的46%和44%,显热通量则分别只有12%和11%。2003年和2004年林冠传导率均值分别为10.3mm/s和10.0mm/s,其中干热季期间的林冠传导率明显低于雾凉季和雨季。林冠传导率与叶面积指数和空气饱和水汽压差值之间分别呈极显著的正、负线性相关关系;它基本上不受土壤含水量的影响,只是当长期无雨或雨量很小导致土壤含水量低于0.15m3/m3时,林冠传导率才与土壤含水量间存在极显著的相关关系。西双版纳热带雨林2003和2004年的蒸散量分别是663mm和634mm,受浓雾和林冠传导率的综合影响,该森林生态系统干季蒸散量低于雨季,这是西双版纳热带季节雨林能够在水热极限条件下生存并良好发育的重要原因。     

留茬方式对小麦间作玉米产量和水分利用效率的影响

小麦/玉米间作是河西绿洲灌区主要间作模式,但传统间作和套种需水量大,使该地区水资源紧张.2010年在甘肃河西走廊石羊河绿洲灌区进行大田试验,研究传统小麦秸秆焚烧、秸秆翻还和秸秆立茬3种留茬方式对小麦/玉米间作作物籽粒产量、水分利用效率(WUE)和经济效益的影响.结果表明:与焚烧和翻还的籽粒产量相比,立茬小麦单作分别增加7.2％和5.1％,立茬小麦间作分别增加6.2％和5.1％,立茬玉米单作分别增加4.7％和2.5％,立茬玉米间作分别增加7.2％和3.3％;与焚烧和翻还的WUE相比,立茬小麦单作分别增加20.4％和16.2％,立茬小麦间作分别增加17.9％和14.6％,立茬玉米单作分别增加16.7％和10.9％,立茬玉米间作分别增加11.8％和17.0％.就单作小麦、单作玉米和小麦/玉米平均值而言,焚烧、翻还、立茬处理的纯收益分别为10946、11471和13454元·hm-2.从籽粒产量、水分利用效率和纯收益等方面考虑,立茬种植方式为甘肃省河西绿洲灌区小麦/玉米最佳种植模式.     

懒猴能量需求的研究

本文报道了懒猴(Nycticebus coucang bengalensis)能量需求的研究结果。三组成年懒猴(共14只)用饭、猕猴配合饲料、小鼠、面包虫和香蕉分别组合的饲料饲喂。实验日期共17天(其中预试期11天,试验期6天)。三组成年懒猴日均摄入量能值分别为210.1 9KJ/KG,177.222KJ/KG和161.608 KJ/KG;日均消化能分别为191.89 KJ/KG,155.131KJ/KG和146.783 KJ/KG。据统计学方差及t测验分析表明:Ⅰ—Ⅱ组之间和Ⅰ—Ⅲ组之间的日均摄食量能值及日均消化能均有显著性差异。实验结果表明:Ⅰ组所饲喂的配合饲料的组成优于Ⅱ、Ⅲ组并可做为懒猴的长期用配方。     

不同种植模式对西南坡地水土保持及作物产值的影响

通过3年定位监测试验研究了小麦/玉米/大豆全程免耕全程秸秆覆盖、小麦/玉米/大豆半程免耕半程秸秆覆盖、小麦/玉米/大豆全程翻耕不覆盖秸秆和小麦/玉米/甘薯全程翻耕不覆盖秸秆4种不同种植模式对西南坡地水土保持、土壤肥力及作物产值的影响.结果表明：在水土保持方面,小麦/玉米/大豆全程免耕全程秸秆覆盖模式的3年平均土壤侵蚀量和地表径流量最低,分别为1189 kg·hm^-2和215 m³·hm^-2,显著低于其他处理,比小麦/玉米/甘薯全程翻耕不覆盖秸秆模式分别低10.6%和84.7%.在土壤肥力方面,3种小麦/玉米/大豆模式都能增加土壤有机质、全氮、速效钾和碱解氮含量,以小麦/玉米/大豆全程免耕全程秸秆覆盖模式增加幅度最大,分别增加15.7%、18.2%、55.2%和25.9%,显著高于其他模式,小麦/玉米/大豆半程免耕半程秸秆覆盖模式次之,小麦/玉米/甘薯全程翻耕不覆盖秸秆模式最低.在作物产值方面,以小麦/玉米/大豆全程免耕全程秸秆覆盖模式的3年平均总产值和纯收入最高,分别为18809元·hm^-2和12619元·hm^-2,比其他几个处理分别增加2.2%～20.6%和3.8%～32.9%,总体效益最好.总之,小麦/玉米/大豆模式比传统的小麦/玉米/甘薯模式能更好地保持水土,减少土壤侵蚀量和地表径流量,增加土壤肥力和作物产值.     

青藏高原三江源区人工草地能量平衡的变化特征

为揭示建植人工草地对青藏高原三江源区能量平衡的影响,利用涡度相关和微气象系统的观测数据定量分析了该区域人工草地能量收支及其各分量的变化特征。结果表明:太阳总辐射(R_s)和净辐射(R_n)的日最高值分别为33.6和19.1 MJ m~(-2)d~(-1),年累计值分别为6789.4和2773.3 MJ/m~2;全年R_n与R_s的比值(R_n/R_s)为0.41,但生长季的R_n/R_s(0.54)明显高于年均值;显热(H)与潜热(LE)通量呈明显的季节变化,H最低值出现在12月,之后随R_s的增强而增加,但进入生长季后呈下降趋势,7月中旬出现次低值;而LE在冬季维持较低值,3月以后迅速增加,最高值出现在生长旺季的7月。在能量分配上,可利用能量主要消耗于LE和H,年均LE/R_n,H/R_n,G/R_n分别为0.46,0.45和-0.13。但能量分配的季节变化差异明显,波文比(β=H/LE)在冬季、春季、夏季和秋季的平均值分别为3.33、0.68、0.42和1.29。受植被叶面积指数(LAI)等生物因素以及土壤含水量(SWC)、饱和水汽压差(VPD)等环境因素的共同影响,冠层导度(g_c)和解耦系数(Ω)的年最大值均出现在夏季,其平均值分别为16.22mm/s和0.70,表明在植被生长盛期LE仍受R_n的控制,其它季节Ω均值低于0.5,说明LE更多的是受VPD调控。本研究说明,虽然三江源区接收的太阳总辐射较强,但R_n/R_s相对较低,生态系统能量平衡中各分项的变化主要受植被、土壤含水量以及净辐射的控制,在退化草地恢复过程中,由于建植人工草地增加了植被覆盖度,进而改变了能量收支过程及能量平衡各分项。     

Allocation procedure in ethanol production system from corn grain i. system expansion

We investigated the system expansion approach to net energy analysis for ethanol production from domestic corn grain. Production systems included in this study are ethanol production from corn dry milling and corn wet milling, corn grain production (the agricultural system), soybean products from soybean milling (i.e. soybean oil and soybean meal) and urea production to determine the net energy associated with ethanol derived from corn grain. These five product systems are mutually interdependent. That is, all these systems generate products which compete with or displace all other comparable products in the market place. The displacement ratios between products compare the equivalence of their marketplace functions. The net energy, including transportation to consumers, is 0.56 MJ_net/MJ of ethanol from corn grain regardless of the ethanol production technology employed. Using ethanol as a liquid transportation fuel could reduce domestic use of fossil fuels, particularly petroleum. Sensitivity analyses show that the choice of allocation procedures has the greatest impact on fuel ethanol net energy. Process energy associated with wet milling, dry milling and the corn agricultural process also significantly influences the net energy due to the wide ranges of available process energy values. The system expansion approach can completely eliminate allocation procedures in the foreground system of ethanol production from corn grain.     

Processing cereal grains,thin stillage,and cheese whey to fuel ethanol in a farm-scale plant

Hydrous fuel ethanol (95%) and distiller's wet grain (DWG) were produced in a farm-scale plant (< 4 million liters ethanol year⁻¹) from corn, wheat, and grain sorghum particles of various sizes, from corn combined with thin stillage-whey, and from various other cereal grains. These variations were made in a search to find the best set of conditions for maximizing the energy balance (energy output divided by energy input) and minimizing the cost of ethanol production. We found that the optimum hammermill screen size for corn, wheat, and grain sorghum was 1·59–2·38 mm. In tests with thin stillage and whey a higher energy balance (2·91) occurred when one part whey was mixed with three parts stillage, rather than the reverse (2·69). However, the reverse (three parts whey and one part stillage) gave a lower ethanol cost ($0.45 liter⁻¹) than the original ($0.47 liter⁻¹). Tests with various cereal grains (corn, oats, wheat, barley, rye, and grain sorghum) gave identical energy balance values (2·26) when 10% (v/v) ethanol beers were produced. However, rye ($0.50 liter⁻¹), grain sorghum ($0.46 liter⁻¹), and corn ($0.51 liter⁻¹) yielded ethanol at the lowest net cost. Recommendations for farm-scale plants are also provided.     

Direct measures of mechanical energy for knife mill size reduction of switchgrass, wheat straw, and corn stover

Lengthy straw/stalk of biomass may not be directly fed into grinders such as hammer mills and disc refiners. Hence, biomass needs to be preprocessed using coarse grinders like a knife mill to allow for efficient feeding in refiner mills without bridging and choking. Size reduction mechanical energy was directly measured for switchgrass (Panicum virgatum L.), wheat straw (Triticum aestivum L.), and corn stover (Zea mays L.) in an instrumented knife mill. Direct power inputs were determined for different knife mill screen openings from 12.7 to 50.8 mm, rotor speeds between 250 and 500 rpm, and mass feed rates from 1 to 11 kg/min. Overall accuracy of power measurement was calculated to be ±0.003 kW. Total specific energy (kWh/Mg) was defined as size reduction energy to operate mill with biomass. Effective specific energy was defined as the energy that can be assumed to reach the biomass. The difference is parasitic or no-load energy of mill. Total specific energy for switchgrass, wheat straw, and corn stover chopping increased with knife mill speed, whereas, effective specific energy decreased marginally for switchgrass and increased for wheat straw and corn stover. Total and effective specific energy decreased with an increase in screen size for all the crops studied. Total specific energy decreased with increase in mass feed rate, but effective specific energy increased for switchgrass and wheat straw, and decreased for corn stover at increased feed rate. For knife mill screen size of 25.4 mm and optimum speed of 250 rpm, optimum feed rates were 7.6, 5.8, and 4.5 kg/min for switchgrass, wheat straw, and corn stover, respectively, and the corresponding total specific energies were 7.57, 10.53, and 8.87 kWh/Mg and effective specific energies were 1.27, 1.50, and 0.24 kWh/Mg for switchgrass, wheat straw, and corn stover, respectively. Energy utilization ratios were calculated as 16.8%, 14.3%, and 2.8% for switchgrass, wheat straw, and corn stover, respectively. These data will be useful for preparing the feed material for subsequent fine grinding operations and designing new mills.     

Estimation of metabolisable energy and net energy of rice straw and wheat straw for beef cattle by indirect calorimetry

Two experiments were conducted to estimate the metabolisable energy (ME) and net energy (NE) of rice straw and wheat straw for beef cattle. In each experiment, 16 Wandong bulls (Chinese indigenous yellow cattle) were assigned to 4 dietary treatments in a completely randomised design. Four dietary treatments included one corn silage-concentrate basal diet and three test diets in which the basal diet was partly substituted by rice straw (Exp. 1) or wheat straw (Exp. 2) at 100, 300 and 600 g/kg. Total collection of faeces and urine was conducted for 5 consecutive days after a 2-week adaption period, followed by a 4-d period where gas exchange measurements were measured by an open-circuit respiratory cage. Linear regression equations of rice straw- or wheat straw-associated ME and NE contribution in test diets against rice straw or wheat straw substitution amount were developed to predict the ME and NE values of rice straw and wheat straw. These regression equations resulted in ME and NE values (dry matter basis) of 6.76 and 3.42 MJ/kg for rice straw and 6.43 and 3.28 MJ/kg for wheat straw, respectively. The NE and ME requirement for maintenance of Wandong cattle fed a straw-based diet were 357 and 562 kJ·kg^?0.75·d^?1, respectively. The regression-derived ME and NE have lower standard errors and coefficients of variation than those estimated by any single substitution ratio. Our study found that the regression method based on multiple point substitution is more reliable than the substitution method for energy evaluation of feedstuffs for beef cattle.     

Economics and Energy of Ethanol Production from Alfalfa, Corn, and Switchgrass in the Upper Midwest, USA

In the USA, biomass crop systems will be needed to meet future ethanol production goals. We estimated production costs, profits, and energy budgets for three potential crop systems for the Upper Midwest: continuous corn with stover harvest, an alfalfa–corn rotation with stover harvest, and switchgrass. Production costs, profits, and on-farm energy use were greatest for continuous corn, less for alfalfa–corn, and least for switchgrass. Energy to transport crops was similar for all crop systems. Both energy used to produce ethanol and energy output in ethanol was greatest for continuous corn, less for alfalfa–corn, and least for switchgrass. Co-product energy output was 32% greater for alfalfa–corn than continuous corn and 42% greater than switchgrass. Net energy produced (outputs–inputs) was greatest for switchgrass, followed by continuous corn, and then alfalfa–corn. Efficiency of energy production (outputs/inputs) was greatest for switchgrass, followed by alfalfa–corn, and then continuous corn. Our analysis emphasizes tradeoffs among crop systems. Corn may produce high rates of ethanol and net energy, but will do so least efficiently and with the greatest erosion and N leaching. Corn may have the greatest production costs, but return the greatest profit. Comparatively, alfalfa–corn will produce less ethanol and net energy, but will do so more efficiently, and with less erosion and little N leaching. Production costs, but also profits, may be less for alfalfa–corn than continuous corn. Switchgrass may produce the most net energy and will do so most efficiently and with the least erosion, but will also yield the least ethanol. Nitrogen leaching will be less for switchgrass than corn, but greater than alfalfa–corn. Switchgrass may be the least expensive to produce, but may return a profit only if selling prices or yields are high.     

Life Cycle Performance of Cellulosic Ethanol and Corn Ethanol from a Retrofitted Dry Mill Corn Ethanol Plant

This study conducts a life cycle assessment of a simulated dry mill corn ethanol facility in California’s Central Valley retrofitted to also produce ethanol from corn stover, a cellulosic feedstock. The assessment examines three facility designs, all producing corn ethanol and wet distiller’s grains and solubles as a co-product: a baseline facility with no cellulosic retrofit, a facility retrofitted with a small capacity for stover feedstock, and a facility retrofitted for a large capacity of stover feedstock. Corn grain is supplied by rail from the Midwest, while stover is sourced from in-state farms and delivered by truck. Two stover feedstock supply scenarios are considered, testing harvest rates at 25 or 40 % of stover mass. Allocation is required to separate impacts attributable to co-products. Additional scenarios are explored to assess the effect of co-product allocation methods on life cycle assessment results for the two fuel products, corn ethanol and stover ethanol. The assessment tracks greenhouse gas (GHG) emissions, energy consumption, criteria air pollutants, and direct water consumption. The GHG intensity of corn ethanol produced from the three facility designs range between 61.3 and 68.9 g CO₂e/MJ, which includes 19.8 g CO₂e/MJ from indirect land use change for Midwestern corn grain. The GHG intensity of cellulosic ethanol varies from 44.1 to 109.2 g CO₂e/MJ, and 14.6 to 32.1 g CO₂e/MJ in the low and high stover capacity cases, respectively. Total energy input ranges between 0.60 and 0.71 MJ/MJ for corn ethanol and 0.13 to 2.29 MJ/MJ for stover ethanol. This variability is the result of the stover supply scenarios (a function of harvest rate) and co-product allocation decisions.     

生物质的综合利用技术在燃料乙醇产业中的应用

概述了燃料乙醇生产的生物质及其特点,重点阐述了小麦、玉米等原料生产乙醇的综合开发技术,并对甘蔗和木薯为原料生产燃料乙醇进行了经济性评价。     

Implementing an energetic life cycle analysis to prove the benefits of lignocellulosic feedstocks with protein separation for the chemical industry from the existing bioethanol industry

The biofuel ethanol is currently being produced in large quantities from corn in the US and from wheat in the EU and further capacity expansion is expected. Relying on the so-called 1st generation technology, only the starch contained in the edible portion of the crops (ears/grains) is subjected to fermentation. Following life cycle calculations reveals minute levels of fossil fuel replacement placing doubt on its renewability and an imbalance on the domestic animal feed markets are immerging due to the by-product distiller grains. Additional utilization of the lignocellulosic and protein components of the by-product through new developments has the potential to alleviate both setbacks. A cradle-to-factory gate analysis was performed on a variety of bioethanol production layouts incorporating the newest technological developments to determine the maximum fossil fuel reduction potential. Expanding to include lignocellulose pretreatment for ethanol production with protein separation for amine-based chemical production can increase the fossil fuel mitigation potential by seven- to ninefold for US-corn and five- to eightfold for EU-wheat bioethanol facilities.     

Reevaluation of Energy Use in Wheat Production in the United States

Energy budgets for agricultural production can be used as building blocks for life-cycle assessments that include agricultural products, and can also serve as a first step toward identifying crop production processes that benefit most from increased efficiency. A general trend toward increased energy efficiency in U.S. agriculture has been reported. For wheat cultivation, in particular, this study updates cradle-to-gate process analyses produced in the seventies and eighties. Input quantities were obtained from official U.S. statistics and other sources and multiplied by calculated or recently published energy coefficients. The total energy input into the production of a kilogram of average U.S. wheat grain is estimated to range from 3.1 to 4.9 MJ/kg, with a best estimate at 3.9 MJ/kg. The dominant contribution is energy embodied in nitrogen fertilizer at 47% of the total energy input, followed by diesel fuel (25%), and smaller contributions such as energy embodied in seed grain, gasoline, electricity, and phosphorus fertilizer. This distribution is reflected in the energy carrier mix, with natural gas dominating (57%), followed by diesel fuel (30%). High variability in energy coefficients masks potential gains in total energy efficiency as compared to earlier, similar U.S. studies. Estimates from an input-output model for several input processes agree well with process analysis results, but the model's application can be limited by aggregation issues: Total energy inputs for generic food grain production were lower than wheat fertilizer inputs alone, possibly due to aggregation of diverse products into the food grain sector.