我国城市间客运交通能源消耗趋势的分解

随着我国城镇化水平不断提高,城市作为重要的交通网络节点,其衔接交通运输线路、产生和承担客货流转换的功能日益显著。定量地探讨城市间客运交通能源消费变化的影响因素对于我国未来城市间客运交通能源需求的研究及温室气体减排具有重要意义。本文采用终端能源需求MAED模型,对我国城市间客运交通能耗的历史基期数据进行处理,同时对未来能耗进行预测,在形成ASIF结构的数据基础上,利用对数平均迪氏指数法(Logarithmic Mean Index,LMDI)对城市间客运交通能耗的活动效应、结构效应和强度效应进行分解分析。结果表明,从历史数据来看,我国"十五"期间城市间客运交通能耗的快速增加同时取决于客运周转量的增加、客运交通模式和能耗强度的转变,若延续这一发展趋势,我国中长期城市间客运交通模式将快速增长。未来城市间轨道交通网络的发展和高效利用及交通节能减排政策的落实将是促进能源消耗增速降低的可能选择。     

江苏、安徽能源强度比较分析与启示

能源在社会经济发展中具有重要作用。随着能源消耗量剧增,能源供需矛盾、环境问题日益突出,研究区域能源强度变化具有重要的现实意义。采用Laspeyres因素分解法,定量分析江苏省和安徽省的产业结构和产业效率对能源强度的影响。研究发现：（1）安徽省的能源强度高于江苏省的能源强度,不过差距在逐渐变小,利用重标极差法预测未来两省的能源强度会逐渐趋同;（2）江苏省的产业结构发展有减小能源强度的趋势,不过作用过程有波动;产业效率有利于降低能源强度;（3）安徽省的产业结构有助于增加能源强度,作用趋势还在增大,产业效率有利于降低能源强度,降低作用大于江苏省。因此本文提出目前同样的投入应该偏向欠发达地区或能源强度较高地区,这有利于快速取得降低能源强度的成效.     

纳米铁催化分解高氯酸盐废水的反应动力学

通过实验考察了酸性条件下纳米铁催化分解高氯酸盐过程中的影响因素,对其分解的动力学进行了研究,并对纳米铁催化剂结构及微观形貌进行SEM、EDS和XRD表征分析。利用阿仑尼乌斯方程和幂指数方程拟合反应动力学方程,获得了高氯酸盐分解动力学方程Ct=C0exp{-0.03773exp(-201.65/T)[H]0.191t},理论的计算值与实验值吻合较好,误差在15%以内。     

The Factor Decomposition on Carbon Emission of China——Based on LMDI Decomposition Technology

Carbon emission is the current hot issue of global concern. How to assess various contributing factors for carbon emission is of great importance to find out the key factors and promote carbon emission reduction. In this paper, the author constructs an identical equation for carbon emission, based on the economic aggregate, the economic structure, the efficiency of energy utilization, the structure of energy consumption, and the coefficient of carbon emission; by applying to LMDI decomposition technology, the author analyzes the carbon emission of China from 1995 to 2007 at industrial level and regional level. The results show that the expansion of economic aggregate is the main reason for China’ s rapidly increasing carbon emission and the increase of energy utilization efficiency is the key factor that can hold back the increase of carbon emission. In addition, the change of industrial structure or regional structure and the change of traditional energy structure have limited influence on the carbon emission, and their potentials have not yet been exploited. At the end of this paper, the author proposes the efforts that China should make to reduce carbon emission.     

非热强介质等离子体反应器用于臭味气体的分解

对非热强介质等离子体反应器用于臭味气体———氨、硫化氢、甲基硫醇的分解进行了试验研究。研究了施加电压、停留时间、初始浓度对臭味气体分解率的影响 ,并对氨的分解产物进行了初步分析。结果表明 ,在这 3种气体的初始体积分数分别为 2 5× 10 -6和 5 0× 10 -6的条件下 ,当施加电压为 16kV、停留时间为 0 .2 3s时 ,氨的分解率达到 97%以上 ;当停留时间为0 .2 3s时 ,硫化氢和甲基硫醇分别在 10kV和 8kV时达到 10 0 %的分解。     

Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm

ABSTRACT

Wind speed forecasting plays an important role in power grid dispatching management. This article proposes a short-term wind speed forecasting method based on random forest model combining ensemble empirical modal decomposition and improved harmony search algorithm. First, the initial wind speed data set is decomposed into several ensemble empirical mode functions by EEMD, then feature extraction of each sub-modal IMF is performed using fast Fourier transform to solve the cycle of each sub-modal IMF. Next, combining the high-performance parameter optimization ability of the improved harmony search algorithm, two optimal parameters of random forest model, number of decision trees, and number of split features are determined. Finally, the random forest model is used to forecast the processing results of each submodal IMF. The proposed model is applied to the simulation analysis of historical wind data of Chaoyang District, Liaoning Province from April 27, 2015 to May 22, 2015. To illustrate the suitability and superiority of the EEMD-RF-IHS model, three types of models are used for comparison: single models including ANN, SVM, RF; EMD combination models including EMD-ANN, EMD-SVM, EMD-RF; EEMD combination models including EEMD-ANN, EEMD-SVM, EEMD-RF. The analysis results of evaluation indicators show that the proposed model can effectively forecast short-term wind data with high stability and precision, providing a reference for forecasting application in other industry fields.     

Catalytic decomposition of hydrocarbon into hydrogen and carbon in a spouted-bed reactor as the second-stage reactor of a plastic recycling process

A two-stage process for the chemical recycling of plastics is proposed. In this process, which consists of two reactors, plastics are converted into hydrogen and carbon. In the first reactor, plastic chips are thermally decomposed into hydrocarbons. In the second reactor, the hydrocarbons formed in the first reactor are catalytically decomposed into carbon and hydrogen. In this study, in order to obtain basic data for the second reactor, propene was catalytically decomposed in a laboratory-scale spouted-bed reactor (600mm high, 21.6mm internal diameter, made of SUS304). The effect of the type of spouting medium used on the decomposition behavior of propene was investigated using four types of spouting medium (nickel-plated -alumina, palladium-plated -alumina, nickel-impregnated -alumina, and -alumina). The nickel-impregnated -alumina gave the best propene conversion and hydrogen yield.     

Lowest Effect Levels of Lead and Mercury on Decomposition of Mor Layer Samples in a Long-Term Experiment

Indications of possible negative effects of lead (Pb) and mercury(Hg) on microbial respiration in Southern Swedish forest humus layers led to experiments on dose-response relationships by additions of metal salts in the laboratory. Respiration rates andweight loss due to decomposition of organic material were measured. For relevance to field situations metal doses were low,the time span was long, 550 days including freeze storage, and microbial activity was kept up by plant litter additions. We looked for effects of Pb and Hg at levels moderately elevated above the Southern Swedish reference, as well as combined effectsof Pb + Hg. A reduction in respiration and decomposition of10% was found at about 225–245 g g^-1 of total Pb, i.e. ata Pb level elevated 3.5 times. Although small effects of Hg werefound even at the lowest dose level, 10% inhibition of microbialactivity appeared temporarily at about 2–3 g g^-1 of total Hg, i. e. at 6–8 times the reference level. There were nolong-term additive effects of Pb and Hg on decomposition. Type of anion had a strong influence on the test, chlorides of Pbbeing more toxic than nitrates. Long-term monitoring and maintenance of microbial activity during the experiment were prerequisites for the occurrence of effects at low metal levels.     

数据安全新思路

利用小波的时频局部化的特征,将信息的加密过程由传统的时域中进行改为在时域和频域中进行,达到信息加密和增强信息安全性的目的。采用两种方法实现信息的加密与解密的过程,一种是将明文保存为图像文件格式,对图像文件进行小波的分解与重构,实现信息的加密与解密;另一种是将明文数值化为一个系数矩阵,对数值矩阵进行小波的分解与重构,实现信息的加密与解密。通过小波分解过程进行加密,小波的重构过程进行解密,改变了传统的在空域中通过一系列的移位、迭代和置换的方式进行的加密过程,因此也不能通过传统的解密方式进行解密,增强了信息的安全性。由于小波的多样性,不同的小波变换得到的结果也会不同,增加了解密的难度,保证了数据的安全。     

Decomposition Analysis of Sectoral Energy Use in Beijing （1981-2005） Using the LMDI Method

This paper aims to identify the main driving force for changes of total primary energy consumption in Beijing during the period of 1981-2005. Sectoral energy use was investigated when regional economic structure changed significantly. The changes of total primary energy consumption in Beijing are decomposed into production effects, structural effects and intensity effects using the additive version of the logarithmic mean Divisia index （LMDI） method. Aggregate decomposition analysis showed that the major contributor of total effect was made by the production effect followed by the intensity effect, and the structural effect was relatively insignificant. The total and production effects were all positive. In contrast, the structural effect and intensity effect were all negative. Sectoral decomposition investigation indicated that the most effective way to slow down the growth rate of total primary energy consumption （TPEC） was to reduce the production of the energy-intensive industrial sectors and improving industrial energy intensity. The results show that in this period, Beijing＇s economy has undergone a transformation from an industrial to a service economy. However, the structures of sectoral energy use have not been changed yet, and energy demand should be increasing until the energy-intensive industrial production to be reduced and energy intensity of the region reaches a peak. As sequence energy consumption data of sub-sectors are not available, only the fundamental three sectors are considered： agriculture, industry and service. However, further decomposition into secondary and tertiary sectors is definitely needed for detailed investigations.