Analysis of ingredient and heating value of municipal solid waste

Great differences between municipal solid wastes(MSW)produced at different places and different times in terms of such parameters as physical ingredient and heating value lead to difficulty in effective handling of MSW. In this paper, ingredient, heating value and their temporal varying trends of typical MSW in Beijing were continuously measured and analyzed. With consideration of the process in pyrolysis and incineration, correlation between physical ingredients and heating values was induced, favorable for evaluation of heating value needed in handling of MSW from simple analysis of physical ingredients of it.

A simple approach to solve boundary-value problems in gradient elasticity

We outline a procedure for obtaining solutions of certain boundary value problems of a recently proposed theory of gradient elasticity in terms of solutions of classical elasticity. The method is applied to illustrate, among other things, how the gradient theory can remove the strain singularity from some typical examples of the classical theory.

Numerical-Value Perturbation Method with Application of Solving Convective-Diffusion Integral Equation

The convective--diffusion equation is of primary importance in such fields as fluid dynamics and heat transfer hi the numerical methods solving the convective-diffusion equation, the finite volume method can use conveniently diversified grids (structured and unstructured grids) and is suitable for very complex geometry The disadvantage of FV methods compared to the finite difference method is that FV-methods of order higher than second are more difficult to develop in three-dimensional cases. The second-order central scheme (2cs) offers a good compromise among accuracy, simplicity and efficiency, however, it will produce oscillatory solutions when the grid Reynolds numbers are large and then very fine grids are required to obtain accurate solution. The simplest first-order upwind (IUW) scheme satisfies the convective boundedness criteria, however. Its numerical diffusion is large. The power-law scheme, QMCK and second-order upwind (2UW) schemes are also often used in some commercial codes. Their numerical accurate are roughly consistent with that of ZCS. Therefore, it is meaningful to offer higher-accurate three point FV scheme. In this paper, the numerical-value perturbational method suggested by Zhi Gao is used to develop an upwind and mixed FV scheme using any higher-order interpolation and second-order integration approximations, which is called perturbational finite volume (PFV) scheme. The PFV scheme uses the least nodes similar to the standard three-point schemes, namely, the number of the nodes needed equals to unity plus the face-number of the control volume. For instanc6, in the two-dimensional (2-D) case, only four nodes for the triangle grids and five nodes for the Cartesian grids are utilized, respectively. The PFV scheme is applied on a number of 1-D problems, 2~Dand 3-D flow model equations. Comparing with other standard three-point schemes, The PFV scheme has much smaller numerical diffusion than the first-order upwind (IUW) scheme, its numerical accuracy are also higher than the second-order central scheme (2CS), the power-law scheme (PLS), the QUICK scheme and the second-order upwind(ZUW) scheme.

生物质气化与废弃物焚烧联合发电的技术经济分析

介绍了生物质气化与废弃物焚烧联合发电技术项目，确定了该项目经济效益的评价指标，定量计算了项目的投资回收期、净现值和内部收益率。同时还对燃料费用、上网电价和固定资产变化引起的敏感性进行分析。结果表明，该联合发电技术的动态投资回收期为9.05a，净现值为2770万元，内部收益率为15.82％，三个经济指标均符合行业标准。从经济角度看是完全可行的。

The cost estimate for a novel cheap solar cell

The estimate for the lowest cost of SODL (silicon on defect layer) solar cell is made according to the price standard of present market. The estimate shows that the PV (photovoltaics) energy costs can be reduced from today's 25-30 cents/(kW h) to 7-8 cents/(kW h) which is comparable with the present cost of electricity generated by traditional energy sources such as fossil and petroleum fuels. The PV energy costs could be reduced to a value lower than 7-8 cents(kW h) by developing SODL technology. The SODL solar cell manufacture featuring simple processes is suitable to large scale automated assembly lines with high yield of large area cells. Some new ideas are suggested, favoring the further reduction in the cost of commercial solar cells.

Statistical analysis of microscale gas flows and stock price changes

First, recent studies on the information preservation (IP) method, a particle approach for low-speed micro-scale gas flows, are reviewed. The IP method was validated for benchmark issues such as Couette, Poiseuille and Rayleigh flows, compared well with measured data for typical internal flows through micro-channels and external flows past micro flat plates, and combined with the Navier-Stokes equations to be a hybrid scheme for subsonic, rarefied gas flows. Second, the focus is moved to the microscopic characteristic of China stock market, particularly the price correlation between stock deals. A very interesting phenomenon was found that showed a reverse transition behaviour between two neighbouring price changes. This behaviour significantly differs from the transition rules for atomic and molecular energy levels, and it is very helpful to understand the essential difference between stock markets and nature.

微生物酶法拆分消旋芳香族氨基酸的研究

通过单因子和多因子摇瓶正交试验，确定了米曲霉液态发酵产氨基酰化酶的最佳发酵条件。优化发酵培养基组成（ρ/g L-1）： 葡萄糖40,蔗糖10,可溶性淀粉20,蛋白胨2.5,马铃薯液1 000mL, pH自然。培养基装量50mL/250mL三角瓶，接种量4%。培养温度30℃，转速100 rmin-1，发酵时间42h。每50mL培养物的总酶活由优化前的2627U提高到7338U，是优化前的2.79倍。 研究了米曲霉氨基酰化酶的部分酶学性质，该酶催化反应的最适pH为7.0，最适温度为40℃，低浓度的Co2+（5×10-4mol/L）对酶活激活作用显著，催化反应过程中，底物浓度大于0.2 mol/L时，存在高浓度底物抑制酶活力现象。 初步探索了包埋法固定化米曲霉氨基酰化酶的载体，在实验的五种载体中，以海藻酸钠为载体包埋固定化米曲霉氨基酰化酶酶活保留率高，且操作简单，成本低廉。对包埋法固定化米曲霉氨基酰化酶酶学性质进行了研究，较游离米曲霉氨基酰化酶，最适温度未发生改变，最适pH向碱性范围偏移至8.0，对酸碱和热的稳定性增强，最适底物浓度增大到0.4 mol/L。 根据氨基酰化酶能立体专一水解L-氨基酰化物的特点，利用米曲霉氨基酰化酶对消旋苯丙氨酸进行了拆分。在米曲霉氨基酰化酶选择性的作用于底物N-乙酰-L-苯丙氨酸，得到L-苯丙氨酸后，通过732阳离子树脂和结晶法分别将L-苯丙氨酸和N-乙酰-D-苯丙氨酸分离，N-乙酰-D-苯丙氨酸通过酸水解脱去乙酰基得到D-苯丙氨酸，拆分得到光学纯度为98%的L-苯丙氨酸（收率84.8%）和光学纯度为92.3%的D-苯丙氨酸（收率89.5%）。 separate factors tests and orthogonal experiments,the optimum fermentation conditions of aminoacylase –producing Aspergillus oryzae were determined, as follows（ρ/g L-1）,glucose 40,sucrose 10,soluble starch 20,peptone 2.5，potato juice 1000ml, inoculation volume 4%and fermentation temperature 30℃,rotation speed 100rmin-1.The highest total enzyme activity ,7338μ,was obtained after fermentation for 42 h, increased by 279% compared with the original value of 2627μbefore optimization. We dicussed partial characteristics of aminoacylase. The optimal pH and temperature of aminoacylase were 7.0 and 40℃ respectively. Low- concentration Co2+ (5×10-4mol/L）activated the aminoacylase remarkably while high-concentration substrate lowered the aminoacylase . Five vectors has been used for immobolizing the enzyme and calcium alginate showed to be the best one for it had the slightest influence on the enzyme activity, easy to operate ,and low in price, comparing with other fours. The enzymatic charateristic study showed that its optimum temperature didn’t change, but the optimum pH and substrat concentration were higher after immobilization. The stability of immobolized enzyme to acid, alkaline and heat rised as well. The aminoacylse from Aspergillus oryzae was used to resolute racemic phenylalanine to obtain D-phenylalanine. After catalyzing process, we took two methods to separate D-phenylalanine .In end,L-phenylalanine was obtained with 98% optical purity in 84.8% yield, D-phenylalanine was obtained with 92.3% optical purity in 89.5% yield.

The mean value concept in mono-linear regression of multi-variables and its application to trace studies in geosciences

IEECAS SKLLQG

Retention modeling and simultaneous optimization of pH value and gradient steepness in RP-HPLC using feed-forward neural networks

A novel approach is proposed for the simultaneous optimization of mobile phase pH and gradient steepness in RP-HPLC using artificial neural networks. By presetting the initial and final concentration of the organic solvent, a limited number of experiments with different gradient time and pH value of mobile phase are arranged in the two-dimensional space of mobile phase parameters. The retention behavior of each solute is modeled using an individual artificial neural network. An "early stopping" strategy is adopted to ensure the predicting capability of neural networks. The trained neural networks can be used to predict the retention time of solutes under arbitrary mobile phase conditions in the optimization region. Finally, the optimal separation conditions can be found according to a global resolution function. The effectiveness of this method is validated by optimization of separation conditions for amino acids derivatised by a new fluorescent reagent.