Decentralized energy supply: Suitability for the UK's industrial sectors

From the results reported here it is suggested that policy decisions about the potential contribution of decentralized energy supply systems to UK industrial energy requirements should be based on the suitability of individual sectors rather than averaged over all sectors. The suitability of decentralized energy sources is evaluated, based on a themodynamic match between source and demand. This suitability criterion is used to identify the most appropriate sector in manufacturing industries for the adoption of decentralized energy supply, leaving aside economic cost considerations and individual site requirements.     

Action strategies for strengthening industrial clusters in southern Taiwan

For the past decade, the Taiwanese government has applied the policy of “North heavy, South light” to put more emphasis on development in northern Taiwan instead of the south. This has resulted in uneven development between the northern and southern regions, especially when introducing, developing, and supporting high technology and resource allocation in education. Industry clusters have become the centerpiece of economic development policy in many parts of the world. In this study, it is assumed that there are two categories of less-advantaged regions in Taiwan: (1) older industrialized regions dominated by labor-intensive/capital-intensive industries, and (2) industrial regions that have merged with potential high-technology small firms but still lack infrastructure. This study discusses the following points: (a) How do industrial clusters work in action? (b) What barriers do less-advantaged industrial clusters face? (c) What action strategies promote less-advantaged industrial clusters?     

调整我国产业结构的若干思考

在国有企业产权制度改革中，改革不合理的产业结构是主要内容之一。不合理的产业结构带来了资产流量与存量产出效益的巨大损失，并放大了市场信号的失真度。因此强化产业结构的调整，是深化经济体制改革，使国民经济持续发展的保证。本文在分析产业结构不合理现状的基础上，提出了对调整我国产业结构的见解。     

适用于仿真工业控制系统的软件包

本文提出的仿真软件包具有丰富的数学运算功能、控制算法功能、逻辑运算功能及图形编辑能力．软件包结构上充分体现了模块化的设计思想，而在功能及组态方法上又十分类似于分散控制系统相应的功能。使用该软件包，可方便地对各种典型的工业控制系统特别是由微处理机组成的分散控制系统进行仿真研究。     

铀工业指标研究的几个问题

本文介绍在铀矿床工业指标制定中,对未来矿山开采设计方案及经济计算参数几千问题的分析,以利于合理的制定铀矿床工业指标,为铀矿冶企业技术改造,在建企业修改设计和为选择新建企业提供决策依据,进而使铀矿冶企业提高经济效益。     

城市RBD的成长机制与产业结构演变研究——以深圳华侨城为例

深圳华侨城是一个持续成长的休闲商务中心区的典型范例.在华侨城的成长和产业变迁过程中,休闲商务的发展具有很强的影响力.从城市边缘的华侨农场逐步发展为现代化城市中心区的RBD,华侨城演变的动力直接来源于4个方面:政策导向、市场导向、所有制导向和城市化导向.     

浅谈集成电路的废气处理

集成电路的工业废气有含氟化物、硫酸雾的酸性废气,含氨的碱性废气,含异丙醇、光刻胶的有机废气,含SiO_2的含尘废气,以及含硅烷、磷烷的工艺尾气等,这些工业废气中大部分成分是有毒有害的,必须进行有效的处理才能排入大气中。主要讨论上述工业废气的分类、处理方式、应用范围及应用实例等。     

Water management in the Flemish steel industry: the Arcelor Gent case

Steel production is an energy- and water-intensive process: large quantities of water are used for cooling, process and environmental-technical applications. In the mid-1990s, Arcelor Gent, a large integrated carbon steel producing company in Flanders (Belgium), started a number of water-related projects: the existing water infrastructure was adapted: the water from the coke plant was biologically treated; canal water was demineralised using reverse osmosis; waste water from the blast furnaces was neutralised with alkaline water from the steel plant. As a result of these projects, the quantity of discharged waste water was reduced by a factor of 2 (water recycling doubled from a factor of 10 to a factor of 20), and the discharge of pollutants decreased. Also resource consumption decreased: lime used in the steel plant, could be recovered to precipitate Zn in the waste water of the blast furnaces. Arcelor Gent obtained for these projects several Environmental Awards.     

Use of zeolite-rich rocks and waste materials for the production of structural lightweight concretes

This paper aims at testing the use of mixtures constituted by natural zeolitized products and SiC-bearing industrial wastes (sludge deriving from polishing of porcelain stoneware tiles, hereafter DPM) for the production of lightweight expanded aggregates as constituents of structural and/or thermo-insulating lightweight concretes. Two commercial products have been used as zeolite natural source: Cab70 (Yellow facies of Campanian Ignimbrite) and IZclino (Turkish clinoptilolite-rich epiclastite). Different amounts of a calcareous material (Pozzano limestones — hereafter CP) from the Sorrento peninsula (Naples — Italy) were also added to a Cab70–DPM mixture. All raw materials were characterized by means of mineralogical (XRPD) and chemical (XRF) analyses. All the products and mixtures were tested from a technological point of view by means of fusibility and firing tests in order to evaluate the expanding properties. It was evidenced that the expansion of the mixture was deeply depending on the occurrence of SiC in the industrial waste. The addition of CP (10 wt.%) to the mixtures accounts for an even increased expansion, though this is accompanied by a worsening of the mechanical features of the material.These results along with literature data allowed to select 3 mixtures (70% Cab70–30% DPM, 70% IZclino–30% DPM, 60% Cab70–30% DPM–10% CP) and each of them was used for the preparation of 5 l of lightweight aggregates afterward employed for the manufacture of lightweight concretes. It was remarked that natural zeolitized materials mixed with DPM (30 wt.%) can provide lightweight aggregates with densities ranging between 0.8 and 1.0 g/cm³ suitable for the preparation of structural lightweight concretes. The addition to the mixture of CP (10 wt.%) produces less dense aggregates (0.6–0.7 g/cm³) potentially useful for the manufacture of thermo insulating lightweight concretes.     

Step response classification for model-based autotuning via polygonal curve approximation

A model-based autotuning method consists of an identification and a regulator tuning phase. To achieve satisfactory performance and robustness, it is advisable that both phases be tailored a priori to the characteristics of the observed process dynamics. Such characteristics include, but are not limited to, the model structure. For example, overdamped and underdamped models with the same pole-zero structure are parametrised and controlled in different ways. Step response data, that are typically used for the identification phase in the autotuning context, can also be pre-processed to reveal those characteristics. This paper presents a step response classification method suitable for the above purpose. The method is based on a polygonal curve approximation technique for data pre-processing, followed by a neural network classifier. Only normalised I/O data are employed, so that the neural network can be trained off-line with simulated data. Simulation results are reported to show the effectiveness of the proposed classification method in terms of the achievable tuning results.