Energy Efficiency Analysis Of Integrated Iron And Steel Works Based On Energy Flow Network

As a national fundamental industry, iron and steel industry and its healthy development play an important part in the construction of a country. This industry involves many kind of energy mediums. And since nowadays resouces are very precious, how to reduce the energy consumption per ton steel, and optimize the iron and steel factory structure, have gradually been paid more attention to as a research direction of systemic energy conservation. Setting up the energy flow network of an integrated iron and steel works and analysis both the whole energy flow and the particularly one medium distribution energy flow network, based on real production data sets, are important to get an accurate understanding of iron and steel works energy structure and to explore more about energy saving optimization measures from the perspective of energy structure.This article first briefly introduces the general situation of iron and steel industry and the present academic situation of energy analysis, summarize the process of energy conservation in our country. After that we introduce the concept of energy flow network and the results of existing researchs. This paper is mainly about the practical use of energy flow network in the analysis of one integrated iron and steel works. By investigating some of the main mediums energy flows in the whole energy network and the characteristics of the nodes in that network, it is discussed that how to explore more about the energy consumption in iron and steel works and how to optimizing its energy structure.Then two methods of energy consumption analysis are introduced, particularly to calculate the energy consumption per ton steel. According to meaning and the mathematical expression of second one, the c-g method, energy consumption per ton steel composition is decomposed into the standard calorific value of each kind of energy medium and the amount of their usages in each unit, and that indicates a new angle of view to impove the efficiency of an integrated iron and steel industry through a more reasonable energy distribution plan and more efficient energy conversion nodes in the energy flow network.On the basis of those theoretical analysis, and actual production data sets, a real energy flow network is built up and multiple ways are used to display the production data, like flow diagram, circular diagram, equilibrium diagram, line chart and etc, as an application of energy visualization analysis. Then two of the most important mediums in the energy flow network-the byproduct gas and the electricity, are analysised as single medium energy flow network research object, of their flow network’s nodes’ characteristics in a statistical way. Through the correlation theory of statistical sciences and data analysis software, the relationship of the gas distribution in each node and gas radiation in gas flow network, as well as the relationship between electric power distribution and power loss in electricity flow network, are explored.Since the byproducts’ balance is very important to the overall energy flow network’s balance, a further investigation of the nodes in the network where energy conversions take place has been proceeded. And in this paper it’s mainly about the gas converted into electricity and the combined heat and power generation. Based on the real production data, charts are built up to display a directly visualization of the energy conversion nodes’ consumption characters, and the mathmatical relations between the energy consumption and power generation amount have been studied, the efficiency of the gas converting into electricity and how it influence the energy flow network have been calculated. At last the cogeneration characteristics of combined heat and power generation in iron and steel enterprises as well as how the conversion efficiency effects the energy consumption per ton steel are studied to figure out how to maximize the steam production within some procedure restrictions to make the most of the residual heat and energy.