Application of Improved Real-Valued Genetic Algorithm in Gas Dispatching of Iron and Steel Enterprise

2015 ◽  
Author(s):  
Fuyong Su
Keyword(s):  
Genetic Algorithm ◽  
Energy Source ◽  
Environmental Pollution ◽  
Energy Use ◽  
Gas Emission ◽  
Optimal Program ◽  
Iron And Steel ◽  
Byproduct Gas ◽  
Objective Model ◽  
Important Kind

Byproduct gas is an important kind of secondary energy generated along with iron and steel products in iron and steel enterprise, which plays an important role in the product process. The use of byproduct gas is not carefully considered, the caloric value doesn’t always match, and the amount of gas is not correctly used, and the fact of gas emission still exists, which is a waste of energy source, and will raise the problem of environmental pollution, of course. Based on the situations above, we have studied the current situation of an iron and steel enterprise, and built the objective model for the optimal use of the gas, and set the constraints accordingly. Finally, based on the concept of Ant Colony Algorism, we improved the algorism to solve our model, and achieved the optimal program, which is an evidence for the energy use.

Byproduct Gas Optimal Distribution Model and its Application for Iron and Steel Enterprises

2011 ◽  
Vol 58-60 ◽  
pp. 816-821
Author(s):  
Tao Du ◽  
Xiang Bin Liu ◽  
Xing Lu Pang
Keyword(s):  
Energy Resource ◽  
Distribution Model ◽  
Optimal Distribution ◽  
Oil Consumption ◽  
Normal Range ◽  
Gas Emission ◽  
Iron And Steel ◽  
Steel Making ◽  
Byproduct Gas ◽  
Gas Supply

A MILP model for optimization of byproduct gas supply in the iron and steel making process is proposed. This model can make the holder fluctuate keep in the normal range, prevent unfavorable byproduct gas emission or shortage, minimize oil consumption and switch the burners in the boil, and it can simultaneously maximize the efficiency of energy resource usage in the iron and steel making process.

A Study on the Effect of Climate Change Initiative in Reducing Greenhouse Gas in Home Heating Sector in South Korea

2013 ◽  
Vol 734-737 ◽  
pp. 1870-1873
Author(s):  
Kang Guk Lee ◽  
Jong Cheon Park ◽  
Won Hwa Hong
Keyword(s):  
Climate Change ◽  
Energy Source ◽  
Greenhouse Gas ◽  
Energy Use ◽  
Greenhouse Gas Emission ◽  
Emission Coefficient ◽  
Change Initiative ◽  
Gas Emission ◽  
Efficient Energy ◽  
Home Heating

This study is aimed at evaluating the effect of South Koreas climate change initiative in reducing greenhouse gases in home heating sector. The conclusions of the research are: (1) it is recommended to set targets for efficient energy consumption and reduction of energy use in the countrys home energy sector. (2) If the energy source unit in 2020 can be cut down to the level of 2000, the total greenhouse gas emission can be slashed down to a 57% level of what is originally projected. (3) Greenhouse gas emission coefficient per different use of energy source was proposed.

Closed-Form Correlation of Buildings Energy Use With Key Design Parameters Calibrated Using a Genetic Algorithm

2011 ◽  
Vol 133 (4) ◽  
Author(s):  
Raed I. Bourisli ◽  
Adnan A. AlAnzi
Keyword(s):  
Genetic Algorithm ◽  
Closed Form ◽  
Energy Use ◽  
Building Design ◽  
Office Buildings ◽  
Design Parameters ◽  
Wide Range ◽  
Variable Function ◽  
Real Coded Genetic Algorithm ◽  
The Difference

This work aims at developing a closed-form correlation between key building design variables and its energy use. The results can be utilized during the initial design stages to assess the different building shapes and designs according to their expected energy use. Prototypical, 20-floor office buildings were used. The relative compactness, footprint area, projection factor, and window-to-wall ratio were changed and the resulting buildings performances were simulated. In total, 729 different office buildings were developed and simulated in order to provide the training cases for optimizing the correlation’s coefficients. Simulations were done using the VisualDOE TM software with a Typical Meteorological Year data file, Kuwait City, Kuwait. A real-coded genetic algorithm (GA) was used to optimize the coefficients of a proposed function that relates the energy use of a building to its four key parameters. The figure of merit was the difference in the ratio of the annual energy use of a building normalized by that of a reference building. The objective was to minimize the difference between the simulated results and the four-variable function trying to predict them. Results show that the real-coded GA was able to come up with a function that estimates the thermal performance of a proposed design with an accuracy of around 96%, based on the number of buildings tested. The goodness of fit, roughly represented by R2, ranged from 0.950 to 0.994. In terms of the effects of the various parameters, the area was found to have the smallest role among the design parameters. It was also found that the accuracy of the function suffers the most when high window-to-wall ratios are combined with low projection factors. In such cases, the energy use develops a potential optimum compactness. The proposed function (and methodology) will be a great tool for designers to inexpensively explore a wide range of alternatives and assess them in terms of their energy use efficiency. It will also be of great use to municipality officials and building codes authors.

scholarly journals Impact of Media Reports and Environmental Pollution on Health and Health Expenditure Efficiency

Healthcare ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 144
Author(s):  
Li ◽  
Chiu ◽  
Chen ◽  
Lin
Keyword(s):  
Environmental Pollution ◽  
Energy Use ◽  
Environmental Damage ◽  
Chinese Government ◽  
Media Report ◽  
Middle Income ◽  
Energy Environment ◽  
Media Reports ◽  
The Impact ◽  
Better Than

Over the past few decades, China’s rapid economic, energy, and industrial developments have caused serious environmental damage. However, as there are large resource, energy use, economic, and environmental damage differences across Chinese regions, the Chinese government is seeking to reduce city pollution across the country. Most previous analyses have only looked at these issues on a single level; for example, the impact of environmental pollution on health, or energy and environmental efficiency analyses, but there have been few studies that have conducted overall analyses. Further, many of the methods that have been used in previous research have employed one-stage radial or non-radial analyses without considering regional differences. Therefore, this paper developed a meta undesirable two-stage EBM DEA model to analyze the energy, environment, health, and media communication efficiencies in 31 Chinese cities, from which it was found that the productivity efficiency in most cities was better than the health treatment efficiencies, the GDP and fixed asset efficiency improvements were small, the air quality index (AQI) and CO2 efficiencies varied widely between the cities, media report and governance inputs were generally inefficient, the birth rate efficiencies were better than the respiratory disease efficiencies, and the technical gap was best in Guangzhou, Shanghai, and Lhasa. Also, it found that high-income cities have a higher technology gap than upper middle–income cities, and media reports efficiency have a high correlation with respiratory diseases and CO2.

scholarly journals Study on Application of the Evaluation Indicator System for the Third-party Environmental Pollution Control

2018 ◽  
Vol 175 ◽  
pp. 04002
Author(s):  
Xu Bingsheng ◽  
Guo Huiting ◽  
Lin Ling ◽  
Huang Jin ◽  
Hou Shan
Keyword(s):  
Environmental Pollution ◽  
Pollution Control ◽  
Indicator System ◽  
Third Party ◽  
Comprehensive Treatment ◽  
Iron And Steel ◽  
Evaluation Indicator ◽  
The Third ◽  
Evaluation Indicator System ◽  
The Third Party

A pilot evaluation indicator system was applied to environmental pollution governance. Four iron and steel enterprises introducing the third-party environmental pollution governance service were selected to carry out the evaluation and application, including sintering flue gas desulfurization and dust removal projects and waste water comprehensive treatment projects to which iron and steel enterprises pay high attention in “the 13th Five-Year Plan” period. Delphi Method was used to grade and quantify each indicator according to experience and determine the validity of scores. Radar charts for the four enterprises were formed based on the weights of Level-2 indicators for comprehensive evaluation and quantification of basic capability, facility operation, technical economy, environmental benefits and management level, and conclusions related to advantages and disadvantages of these enterprises were drawn. This research supplies a scientific method for evaluating the effect of environmental pollution control by third-party enterprises.

Sign in / Sign up

Export Citation Format

Share Document