大型钢铁企业能源成本管理信息系统研究

发布时间：2018-01-23 05:28

本文关键词： 钢铁企业能源成本供需预测优化调度数据校正系统工程　出处：《华中科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：众所周知，大型钢铁企业长期受到高耗能造成的经济损失和环境污染的负面效应影响。目前，大多数国内钢铁企业都在节能减排、提高二次能源回收、增加能源利用率方面积极开展工作，但是从“钢协”提供的统计数据来看，国内企业每生产一吨成品钢的能源成本是国外先进工艺的110%以上。因此，分散粗放的能源管理模式、不合理的能源计划以及低效率的调度系统等已经不能满足现代化的钢铁企业生产要求。由于能耗介质类别众多，能源系统结构复杂，且各介质相互间具有不同程度的关联，因此，如何高效合理的使用各类能源，提高吨钢综合能耗比，成为各钢铁企业亟待解决的重要问题之一。本文从系统工程角度出发，调研钢铁企业能源成本体系架构，并进行需求分析，结合国内外系统节能思想及应用技术的研究现状，提出能源成本数据校正模型对测量数据进行校正，剔除过失误差及调整随机误差，并在此系统中完成功能实现；建立了基于时间序列的供需预测模型，在此基础上提出总体优化调度模型，以电力负荷预测为例介绍其系统实现；介绍了能源成本收集与优化系统的总体设计方案，对此系统数据流程、主要功能设计、数据库设计、软硬件体系结构及开发环境等内容进行了研究，分析其B/S架构下的关键技术。本文所提的能源成本数据收集与优化方案，在一定程度上为企业能源管理提供了科学依据。系统运行稳定、安全、操作性及可维修性强，，能够有效的实现节能减排，为国内此类系统开发提供了相应的借鉴。
[Abstract]:As we all know, large iron and steel enterprises are affected by the economic losses and environmental pollution caused by high energy consumption for a long time. At present, most domestic steel enterprises are saving energy and reducing emissions, and improving secondary energy recovery. To increase energy utilization efficiency, but from the statistical data provided by the "Steel Association", the energy cost of each ton of finished steel produced by domestic enterprises is more than 110% of that of foreign advanced technology. Decentralized and extensive energy management mode, unreasonable energy planning and inefficient scheduling system can no longer meet the production requirements of modern steel enterprises. Because of the large number of energy consumption media, the energy system structure is complex. Therefore, how to use all kinds of energy efficiently and reasonably and improve the comprehensive energy consumption ratio of tons of steel has become one of the important problems to be solved urgently in iron and steel enterprises. From the point of view of system engineering, this paper investigates the energy cost system architecture of iron and steel enterprises, and analyzes the requirements, combined with the domestic and foreign systems energy saving ideas and application technology research status. The energy cost data correction model is put forward to correct the measurement data, eliminate the fault error and adjust the random error, and realize the function in this system. The supply and demand forecasting model based on time series is established, and the overall optimal dispatching model is put forward based on this model. The system implementation is introduced with the example of power load forecasting. This paper introduces the overall design scheme of the energy cost collection and optimization system, and studies the data flow, main function design, database design, hardware and software architecture and development environment of the system. The key technologies under the B / S architecture are analyzed. The energy cost data collection and optimization scheme proposed in this paper provides a scientific basis for enterprise energy management to a certain extent. The system is stable, safe, operational and maintainable. It can effectively realize energy saving and emission reduction, which provides a reference for the development of this kind of system in China.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP315

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