喷淋吸收塔石膏浆液ph值控制对系统安全性的影响

石灰石(石灰)-石膏湿法脱硫是燃烧后烟气脱硫的典型技术.吸收塔石膏浆液ph值的控制不好将造成系统设备结垢,甚至设备腐蚀损坏.ph值控制与烟气脱硫效率和系统设备的安全运行密不可分.     

国家发展改革委制定《关于加快火电厂脱硫产业化发展的若干意见》

(本刊讯]为贯彻落实科学发展观，从根本上解决火电厂二氧化硫污染问题，促进火电厂烟气脱硫产业健康发展，根据国务院领导关于加快火电厂二氧化硫治理和推进烟气脱硫产业化发展的批示精神，近日，国家发展改革委制定了《关于加快火电厂烟气脱硫产业化发展的若干意见》。     

经济运行重要动态

政策动态国家发展改革委出台《关于加快火电厂烟气脱硫产业化发展的若干意见》。《意见》明确了加快火电厂烟气脱硫产业化发展的指导思想,提出了主要任务,对脱硫工程后评估提出了明确要求,还就规范火电厂烟气脱硫供方市场、火电厂烟气脱硫工艺技术选择原则、加大政策支持力度、     

石灰石—石膏湿法烟气脱硫工艺不宜安装烟气换热器

随着电力工业的快速发展,特别是环境保护要求的提高,火电厂烟气脱硫(FGD)设施建设不断加快,迄今为止,国内外已开发出数百种烟气脱硫技术,其中大型火电厂机组烟气脱硫均以石灰石—石膏烟气脱硫湿法工艺为主,并已成为我国燃煤电厂烟气脱硫的首选工艺。而烟气脱硫湿法工艺是否需要     

火电厂脱硫技术及国内脱硫市场发展探讨

在可持续化发展的今天,保护环境尤为重要,所以减少污染气体的排放就成为了重中之重。介绍了火电厂的各种脱硫技术,并对各种技术的优缺点进行了说明,对电厂的脱硫有一定的指导作用。     

解析火力发电厂锅炉新型脱硫工艺

随着国民经济的高速发展,环境保护也越来越受到广泛的关注.在火力发电厂生产中,锅炉尾部烟气一直困扰着火电厂的管理者.因此采用先进的技术工艺使锅炉尾气达标是非常有意义的.本文根据锅炉烟气脱硫系统运行管理中的经验,分析几种常用脱硫工艺的特点,提出一种新型脱硫工艺——钙镁双碱法的脱硫原理、特点、工艺设计方法,以期解决当前工业锅炉烟气脱硫中的技术难题.     

上海积卅环保新型双碱法脱硫技术难题获突破

上海积卅环保技术有限公司在成功攻克双碱法脱硫的引风机带水和结垢两大难题后，目前又在流化床锅炉上运用公司自创的双碱法脱硫技术获得成功。     

我国火电厂SO_2排放分析与预测

2003年全国排放二氧化硫约为2150万吨,火电厂的排放量就达到1100万吨,占到了全国SO2排放总量的50%以上,火电厂已经成为SO2排放的主要来源之一。SO2排放会造成酸雨,对人及生态环境造成严重的危害,为此我国积极推行脱硫技术,减少SO2的排放。     

火电厂节水技术探讨

水是生命之源，是人们生活赖以生存的条件。如今我国水资源比重减少，特别是人们能使用的淡水资源，火电厂又是耗水比较多的一个厂，火电厂节水问题已成为当务之急。对于水资源匮乏问题的存在，完善水务管理、优化循环用水系统、降低耗水指标、加强废水治理和废水资源化利用，火电厂在发电过程中加强节水的技术安全经济运彳亍及社会、环境方面具有重要的意义。本文就此火电厂的节水技术进行了探讨。     

探讨数据挖掘技术在火电厂优化运行中的应用

在火电厂优化运行中应用数据挖掘技术可以使运行机组的效率得到有效提高,并能降低污染物的排放及机组供电所产生的煤耗,本文分析了火电厂优化运行中的数据挖掘原理及具体应用方法,探讨了在火电厂优化运行中应用数据挖掘技术时应注意的问题,并以实例说明了数据挖掘技术应用于火电厂不仅能够得到较为实用的优化运行目标值,还能够带来良好的经济效益及社会效益。     

一种改进的星载聚束SAR子孔径ECS算法

在分析原有ECS算法的基础上，提出了一种适合于星栽聚束SAR成像的子孔径ECS算法。该算法对数据进行子孔径划分，可降低系统对PRF及运算存储量的要求。距离压缩采用斜视等效距离模型，实现精确的距离徙动校正。方位压缩采用方位scaling和频谱分析来实现，并分析推导了合理的方位scaling因子取值。最后，通过仿真验证了算法的有效性。     

On the Use of Paired Comparisons to Construct Group Preference Scales for Decision Making

Polling opinion is a common group activity. Scaling tools can be used to provide a more precise presentation of opinions than traditional polling/voting. The interval scale of items constructed by scaling tools can aid participants in finding the current disposition of a group. We consider Thurstone’s law of comparative judgment as well as a weighted digraph ranking system for building group scales from pairwise comparisons. Assumptions for computing scales are reviewed together with issues and limitations of applying these scaling methods in groups. Results from a classic experiment and simulations by both methods are compared. We also made recommendations on choosing scaling method based on theoretic and practical consideration.     

Scale-ups and scaling in an international business context

Scaling, the persistent rapid growth to deliver a viable business model, often incorporates an explicit international business dimension. However, research on the cross-border management and organization of scaling and scale-ups in international business has been limited. We therefore build on prior scholarly understanding to differentiate scaling in three settings – initiative, organization and ecosystem – and elaborate on their respective international business aspects. We are sensitive to different organizational purposes and their associated scaling for commercial and/or social impact. Our arguments advance the conceptual understanding of scaling in international business and offer an agenda for future research.     

Dual scaling and correspondence analysis of preferences, paired comparisons and ratings

The methods of dual scaling (DS) and correspondence analysis (CA) are used extensively in marketing research for analyzing categorical data. When applied to preferences, paired comparisons and ratings, dual scaling has been contrasted with correspondence analysis, as if the two techniques operated differently on these data. In this note, we show that correspondence analysis provides exactly the same solution as dual scaling once the data have been transformed by a so-called “doubling” with respect to the respondents.     

The Joint Effects of Justice Climate,Group Moral Identity,and Corporate Social Responsibility on the Prosocial and Deviant Behaviors of Groups

While research has focused on why certain entrepreneurs elect to create innovative solutions to social problems, very little is known about why some social entrepreneurs choose to scale their solutions while others do not. Research on scaling has generally focused on organizational characteristics often overlooking factors at the individual level that may affect scaling decisions. Drawing on the multidimensional construct of moral intensity, we propose a theoretical model of ethical decision making to explain why a social entrepreneur’s perception of moral intensity of the social problem, coupled with their personal desire for control, can significantly influence scaling decisions. Specifically, we propose that higher levels of perceived moral intensity will positively influence the likelihood of scaling through open as opposed to closed modes in order to achieve greater speed and scope of social impact. However, we also propose this effect will be negatively moderated by a social entrepreneur’s higher levels of desire for control. Our model has implications for research and practice at the interface of ethics and social entrepreneurship.     

Deriving joint space positioning maps from consumer preference ratings

Joint space multidimensional scaling maps are often utilized for positioning analyses and are estimated on survey samples of consumer preferences, choices, considerations, or intentions so as to provide a concise spatial depiction of the competitive landscape including relevant dimensions or attributes, competing brands, and consumers in the same joint space representation. Care has to be given concerning the underlying scale properties of such survey data so as not to distort the resulting joint space positioning map. We present a new joint space multidimensional scaling procedure for positioning analyses for displaying the structure in such survey data when such common ordered successive category measurement scales such as Likert, Edwards, semantic differential, etc., are employed. We present the technical details of this stochastic ordered preference multidimensional scaling vector model as well as the maximum likelihood estimation-based algorithm devised for parameter estimation. Favorable comparisons are made with several existent multidimensional scaling methods in representing the internal structure for such data in marketing positioning studies. An actual commercial positioning application concerning large sports utility vehicles consideration to buy judgments is presented with predictive validation comparisons with other multidimensional scaling joint space procedures.     

SIMS: a Store Image Monitoring System

During the last decade the UK grocery trade has become increasingly competitive as national chains have fought for an increase in market share in a relatively static market place. Retailers have become more aggressive in their marketing strategies and tactics, one noticeable trend being a significant increase in promotion and advertising expenditure. To date, however, few studies have tackled the difficult question of evaluating the effectiveness of their advertising. The authors propose a system for continuous monitoring of the effects of advertising on retail store image using multidimensional scaling techniques, and demonstrate the system on a small-scale study of supermarket advertising.     

用时域谐波定标的数字语音编码

本文给出了一种以9.6Kb/s数据率实时工作的新的数字语音编码器.该系统由时域谐波定标(TDHS)及子频带编码(SBC)两种不同的语音压缩算法组成.阐述了TDHS的基本原理,简述了几种不同的音调检测方法.本文最后对用DSP硬件实时执行该系统的几种方式作了讨论.     

Scaling and dimensionalizing perceived risk from ratings data: Managers' risk perception of business computers

A model for dimensionalizing and scaling perceived risk is presented. The scaling procedure provides risk values at the brand and category level on each of several risk dimensions. The model is illustrated with business managers' risk assessments of microcomputer profiles. The relative importance of various intrinsic and extrinsic cues in determining these perceptions was examined as part of the validation procedure for the several risk scales.     

Business model adaptation for realized international scaling of born-digitals

This study examines the process and mechanisms of realized international scaling of born-digital firms through the business model lens. In an explorative multiple-case study of Finnish firms in cultural industries, it finds that born-digital firms adapt their business models through an iterative process to achieve practically scaled operations. The research unpacks the mechanisms guiding the process of business model adaptation and highlights the role of dynamic capabilities in their employment. The findings extend existing theorizing on scaling by offering a conceptualization of realized international digital scaling and the role of the business model in its implementation.