Strategic appraisal of energy models for Mozambique

The needs that an energy supply system must meet are constantly changing, due to technological, social and political reasons. Effective energy planning is a dynamic process that is repeated periodically and adjusts to changing conditions. Energy decision makers and planners are no longer able to rely on inductive decision making since they have to investigate the effect of various decision parameters and possible future changes. To help in this process, models have been developed where estimates of future load growth, candidate power plants, fuels and other key factors can be introduced, from which the planners can evaluate decision parameters and the available alternatives. The paper presents the different methodologies and practices that are used by 11 energy models for energy demand forecasting, supply side management and generation expansion planning, demand side management and integrated resource planning. The paper concludes to the presentation of a strategic appraisal of the examined energy models appropriate for energy planning in Mozambique. Three models are proposed for conducting demand forecasting, generation expansion planning and demand side management. Copyright © 2002 John Wiley & Sons, Ltd.     

攀钢含铁尘泥的利用现状及发展方向

简述了攀钢含铁尘泥的基本特性、攀钢含铁尘泥利用技术现状及存在的问题。根据目前国内外钢铁企业含铁尘泥综合利用技术的动态、经验，并结合攀钢的实际情况，提出了攀钢含铁尘泥利用技术的发展方向。     

Proactive resource allocation for asynchronous real-time distributed systems in the presence of processor failures

We present two proactive resource allocation algorithms, RBA^*-FT and OBA-FT, for fault-tolerant asynchronous real-time distributed systems. The algorithms consider an application model where task timeliness is specified by Jensen's benefit functions and the anticipated application workload during future time intervals is described by adaptation functions. In addition, we assume that reliability functions of processors are available a priori. Given these models, our objective is to maximize aggregate task benefit and minimize aggregate missed deadline ratio in the presence of processor failures. Since determining the optimal solution is computationally intractable, the algorithms heuristically compute sub-optimal resource allocations, but in polynomial time. Experimental results reveal that RBA^*-FT and OBA-FT outperform their non-fault-tolerant counterparts in the presence of processor failures. Furthermore, RBA^*-FT performs better than OBA-FT, although OBA-FT incurs better worst-case and amortized computational costs. Finally, we observe that both algorithms robustly withstand errors in the estimation of anticipated failures.     

奥里油在电力工业的应用及环保处理

委内瑞拉富藏奥里油约469亿t，中国政府与委内瑞拉政府签订了合作生产和供应每年650万t奥里油的合作协议。介绍了奥里油的特性和在全球以及中国的应用情况，分析了奥里油燃烧发电带来的特殊的环保问题和处理方法。     

铁通资源管理系统的设计和实现

在分析铁路通信资源结构的基础上,利用地理信息系统技术、数据库技术和客户/服务器(C/S)模式,为铁通(ChinaTietong)各级分公司和运营部门提供一套较为完善的资源管理信息系统。文中分析了铁通资源的结构与资源之间的关联,介绍了系统功能、物理结构及体系结构,详细分析了数据库设计、地理信息系统和系统安全性所采用的关键技术。这套系统的应用对铁通网络管理的现代化将起到重要的推动作用。     

关于我国资源保障能力的若干思考

资源保障能力是一国综合国力判断的重要指标之一。本文首先界定了资源保障能力的涵义，然后分析了五个对资源保障能力比较重要的影响因素，即资源禀赋、经济发展水平、科学技术因素、政治因素和人们的资源观，最后得出几点我国提高资源保障能力的建议以供参考。     

对选矿废水综合利用的探讨

通过对金堆城钼业公司选矿废水再用于选矿作业的选矿试验，证明选矿废水循环利用是可行的，既提高了选矿浓度，又减少了对环境的污染，经济和社会效益显著。     

MITI projects on recycling

MITI has actively done R&D on industrial technology for waste and reclamation and so there are many research items from small scale to large scale. However, Ecofactory and researches on recycling of metallic materials are introduced here. Ecofactory was proposed by the Mechanical Engineering Laboratory and is now at the stage of the Leading Research, a new research scheme in AISt. Researches on recycling of metallic materials are being done with subsidy. Those researches should contribute to both the preservatin of the global environment and effective recycling of waste materials.Abbreviations AIST Agency of Industrial Science and Technology - MITI Ministry of International Trade and Industry - NEDO New Energy and Industrial Technology Development Organization     

基于多智能体的数控机床资源共享技术研究

以数控铣床为对象，应用多智能体技术，以解决传统的资源共享所面lI缶的透明度低和效率低下的问题。首先，在分析功能模型的基础上，提出并实现了资源共享的四层网络拓扑结构；其次，构造了面向设备资源共享功能的智能体信息流模型，以实现四层结构之间的交互；其三，定义了智能体状态函数，并以此为依据，建立了智能体协商机制。所开发的原型系统表明，以上成果有效地提高了数控机床资源共享的透明度和效率。     

Temperature and pressure effects on supercritical CO2 extraction of tomato seed oil

Tomato seed oil was extracted with supercritical carbon dioxide in a semibatch-flow extractor within the temperature range 313–343 K and the pressure range 10.8–24.5MPa. The extraction rates increased with pressure, but decreased with temperature increase because of the variation in solvent density and resultant differences in oil solubility. The fatty acid composition of the extracted oil was similar to that of soybean oil.