简评美国公布的15个AES候选算法

文章对美国国家标准和技术研究所（ＮＩＳＴ）最近公布的１５个ＡＥＳ候选算法的基本设计思想作了简要介绍，同时也介绍了对这些算法的最新分析结果

广东典型藻类特点及其能源利用可能性研究

大型海藻的生产力高，生产成本低，是一种理想的能源作物。广东省是我国海洋大省之一，约35万平方公里的海域，海藻物种丰富，为海藻养殖提供了有利的条件。我省是能源消耗大省，大部分依靠外省调入和进口，发展海藻能源技术是缓解能源问题的重要途径之一。目前，海藻作为生物质的利用技术还不成熟。在本论文中，选用我省常见的江蓠、马尾藻和麒麟菜三种的大型的海藻进行热解和发酵实验。 首先，对海藻在不同温度下（400℃～900℃）热解得到的各产物（气体、焦油和残渣）产率和热值以及气体组分进行了分析，研究了各热解产物产率、热值和气体组分随温度的变化规律，分析热解过程中的K、Ca、Na、Mg等元素的析出和迁移规律。用去离子水和稀盐酸对海藻进行洗滤预处理，研究其热解特性，进行热重分析，建立海藻热解的反应动力学模型，并计算海藻的动力学参数。分析结果表明：热解气体中的主要成分为H2、CO、CH4、C2H4、C2H6等，热解气低位热值介于5～15 MJ/m3之间。海藻本身具有灰分含量较高和热值较低的特点，水洗可以有效地脱除部分的碱金属，并可以减少灰分含量，改善海藻的热解特性。 其次，以江蓠和马尾藻为底物进行发酵。结果表明：海藻中含有大量金属阳离子，直接发酵容易溶解到料液中，抑制微生物生长，影响发酵效果。用淡水浸泡以后的海藻能容易进行发酵。江蓠的产气率要高于马尾藻。在发酵温度为35℃，简单破碎，料液浓度为5%的条件下，江蓠TS（总固体）产气率是390.6L/kg 。在55℃，颗粒大小0.6～0.9mm，料液浓度为5%的条件下，马尾藻TS产气率是173.1L/kg。 通过对比海藻热解和发酵过程及结果的比较可以发现，海藻热解产气率低，碱金属容易析出；海藻发酵可以直接利用湿原料，产气率高，但发酵时间较长，需要合适的菌种。在目前没有特殊专有技术的情况下，采用发酵比采用热解实现海藻的能源化利用可能性更大。 最后，对本论文的研究探讨进行总结，并对今后进一步完善该工作提出了建议。

Design and operation of integrated pilot-scale dimethyl ether synthesis system via pyrolysis/gasification of corncob

The integrated pilot-scale dimethyl ether (DME) synthesis system from corncob was demonstrated for modernizing utilization of biomass residues. The raw bio-syngas was obtained by the pyrolyzer/gasifier at the yield rate of 40-45 Nm(3)/h. The content of tar in the raw bio-syngas was decreased to less than 20 mg/Nm(3) by high temperature gasification of the pyrolysates under O-2-rich air. More than 70% CO2 in the raw bio-syngas was removed by pressure-swing adsorption unit (PSA). The bio-syngas (H-2/CO approximate to 1) was catalytically converted to DME in the fixed-bed tubular reactor directly over Cu/Zn/Al/HZSM-5 catalysts. CO conversion and space-time yield of DME were in the range of 82.0-73.6% and 124.3-203.8 kg/m(cat)(3)/h, respectively, with a similar DME selectivity when gas hourly space velocity (GHSV, volumetric flow rate of syngas at STP divided by the volume of catalyst) increased from 650 h(-1) to 1500 h(-1) at 260 degrees C and 4.3 MPa. And the selectivity to methanol and C-2(+) products was less than 0.65% under typical synthesis condition. The thermal energy conversion efficiency was ca. 32.0% and about 16.4% carbon in dried corncob was essentially converted to DME with the production cost of ca. (sic) 3737/ton DME. Cu (111) was assumed to be the active phase for DME synthesis, confirmed by X-ray diffraction (XRD) characterization.

Upgrading of liquid fuel from the vacuum pyrolysis of biomass over the Mo-Ni/gamma-Al2O3 catalysts

High amounts of acid compounds in bio-oil not only lead to the deleterious properties such as corrosiveness and high acidity, but also set up many obstacles to its wide applications. By hydrotreating the bio-oil under mild conditions, some carboxylic acid compounds could be converted to alcohols which would esterify with the unconverted acids in the bio-oil to produce esters. The properties of the bio-oil could be improved by this method. In the paper, the raw bio-oil was produced by vacuum pyrolysis of pine sawdust. The optimal production conditions were investigated. A series of nickel-based catalysts were prepared. Their catalytic activities were evaluated by upgrading of model compound (glacial acetic acid). Results showed that the reduced Mo-10Ni/gamma-Al2O3 catalyst had the highest activity with the acetic acid conversion of 33.2%. Upgrading of the raw bio-oil was investigated over reduced Mo-10Ni/gamma-Al2O3 catalyst. After the upgrading process, the pH value of the bio-oil increased from 2.16 to 2.84. The water content increased from 46.2 wt.% to 58.99 wt.%. The H element content in the bio-oil increased from 6.61 wt.% to 6.93 wt.%. The dynamic viscosity decreased a little. The results of GC-MS spectrometry analysis showed that the ester compounds in the upgraded bio-oil increased by 3 times. it is possible to improve the properties of bio-oil by hydrotreating and esterifying carboxyl group compounds in the bio-oil.

Vacuum pyrolysis of waste tires with basic additives

Granules of waste tires were pyrolyzed tinder vacuum (3.5-10 kPa) conditions, and the effects of temperature and basic additives (Na2CO3, NaOH) on the properties of pyrolysis were thoroughly investigated. It was obvious that with or without basic additives, pyrolysis oil yield increased gradually to a maximum and subsequently decreased with a temperature increase from 450 degrees C to 600 degrees C, irrespective of the addition of basic additives to the reactor. The addition of NaOH facilitated pyrolysis dramatically, as a maximal pyrolysis oil yield of about 48 wt% was achieved at 550 degrees C without the addition of basic additives, while a maximal pyrolysis oil yield of about 50 wt% was achieved at 480 degrees C by adding 3 wt% (w/w, powder/waste tire granules) of NaOH powder. The composition analysis of pyrolytic naphtha (i.b.p. (initial boiling point) similar to 205 degrees C) distilled from pyrolysis oil showed that more dl-limonene was obtained with basic additives and the maximal content of dl-limonene in pyrolysis oil was 12.39 wt% which is a valuable and widely-used fine chemical. However, no improvement in pyrolysis was observed with Na2CO3 addition. Pyrolysis gas was mainly composed of H-2, CO, CH4, CO2, C2H4 and C2H6. Pyrolytic char had a surface area comparable to commercial carbon black, but its proportion of ash (above 11.5 wt%) was much higher.

A study on the economic efficiency of hydrogen production from biomass residues in China

As part of Pilot Project of KIP of CAS, a feasibility study of hydrogen production system using biomass residues is conducted. This study is based on a process of oxygen-rich air gasification of biomass in a downdraft gasifier plus CO-shift. The capacity of this system is 6.4 t biomass/d. Applying this system, it is expected that an annual production of 480 billion N m(3) H-2 will be generated for domestic supply in China. The capital cost of the plant used in this study is 1328$/(N m(3)/h) H-2 out, and product supply cost is 0.15$/N m(3) H-2. The cost sensitivity analysis on this system tells that electricity and catalyst cost are the two most important factors to influence hydrogen production cost.