• Title/Summary/Keyword: 철광석

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A Study on the Forecasting of Seaborne Trade of Mineral Resources : Cases of Iron Ore and Coal (광물자원의 해상물동량 전망에 관한 연구 : 철광석 및 석탄을 중심으로)

  • Jang, Won-Ik
    • Environmental and Resource Economics Review
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    • v.19 no.2
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    • pp.341-360
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    • 2010
  • The goal of this study is to forecast the scales of seaborne trade of iron ore and coal. It is assumed that the seaborne trade of iron ore is the function of two independent variables(crude steel production, world GDP) and the seaborne trade of coal is the function of two independent variables(crude steel production, world electricity generation). The result shows that the regressions of two functions are statistically significant respectively. As the results of forecasting, the seaborne trade of iron ore in 2010 may be 892 million tons which is increased 5.1% compare to the level of 2009. Also the seaborne trade of coal in 2010 may be 827 million tons which is increased 6.1% compare to the level of 2009. In terms of the compound annual growth rate, it is forecasted that the iron ore may show 4.7% of increasing rate from 2009 to 2015 and the seaborne trade of coal may be increased 6.1% annually for the same period.

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Forecasting of Iron Ore Prices using Machine Learning (머신러닝을 이용한 철광석 가격 예측에 대한 연구)

  • Lee, Woo Chang;Kim, Yang Sok;Kim, Jung Min;Lee, Choong Kwon
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.2
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    • pp.57-72
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    • 2020
  • The price of iron ore has continued to fluctuate with high demand and supply from many countries and companies. In this business environment, forecasting the price of iron ore has become important. This study developed the machine learning model forecasting the price of iron ore a one month after the trading events. The forecasting model used distributed lag model and deep learning models such as MLP (Multi-layer perceptron), RNN (Recurrent neural network) and LSTM (Long short-term memory). According to the results of comparing individual models through metrics, LSTM showed the lowest predictive error. Also, as a result of comparing the models using the ensemble technique, the distributed lag and LSTM ensemble model showed the lowest prediction.

A Study on the Evaluation of Mechanical Characteristics of Iron Ores (철광석의 역학적 특성 평가에 관한 연구)

  • Kim, Jae Myung;Kim, Chan Wook;Suk, Han Gil
    • Resources Recycling
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    • v.23 no.4
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    • pp.12-20
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    • 2014
  • The objective of this study is to investigate the possibility of beneficiation of low grade iron ore. Iron ore A might be upgraded by the mineral liberation effect, while iron ore B was expected to be difficult to upgrade. However, the Fe contents of iron ore B were increased from 68% to 81% by the heat treatment process. Iron ore A was found to possibly enrich the Fe components through the physical separation process, such as magnetic separation, floatation and gravity concentration. In the case of iron ore B, it was possible to concentrate the Fe components through the heat treatment process.

Characteristics of Thermal Decomposition of Methane Using Ore (철광석 이용한 메탄 열분해 반응특성)

  • Lee, Ji-Yun;Kim, A-Ram;Sim, Dong-Sun;Jang, Hyun-Tae
    • Proceedings of the KAIS Fall Conference
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    • 2008.05a
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    • pp.319-322
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    • 2008
  • 본 논문은 미분 반응기 및 유동층반응기에서 메탄의 열분해에 의한 수소 생산과 탄소 생성에 대한 연구를 수행하였다. 일반적으로 고온 분해시 사용되는 니켈과 철 성분을 대신할 철광석을 이용하여 분해특성을 고찰하였다. 환경에 대한 영향을 최소화한 상태에서 메탄의 전환반응을 메탄 분해촉매 활성에 영향을 미치는 인자에 대하여 연구하였다. 측정된 압력요동특성치의 해석을 통하여 유동층 열분해촉매의 유동화현상을 측정하였으며, 유동화특성에 따른 메탄열분해능을 측정하였다. 또한 고정층에서 공간속도, 입자크기, 비표면적이 미치는 영향을 고찰하여 철광석의 사용가능성을 타진하였다.

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A Study on Treatment of Soils Contaminated by Diesel and Kerosene Using Hydrogen Peroxide Catalyzed by Naturally Occurring Iron Minerals (디젤과 등유로 오염된 토양의 철광석으로 촉매화된 과수를 이용한 처리에 관한 연구)

  • Choi, Jin-Ho;Kim, Sang-Dae;Moon, Sei-Ki;Kong, Sung-Ho
    • Applied Chemistry for Engineering
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    • v.10 no.1
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    • pp.24-29
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    • 1999
  • Naturally-occurring iron minerals, goethite, magnetite, and hydrogen peroxide were used to catalyze and initiate Fenton-like oxidation of silica sand contaminated with mixture of diesel and kerosene in batch system. Optimal reaction conditions were investigated by varying pH(3, 7), $H_2O_2$ concentration(0%, 1%, 7%, 15%, 35%), initial contaminant concentration(0.2, 0.5, 1.0 g-mixture of diesel and kerosene/ kg-soil), and iron mineral contents(1, 5, and 10 wt % magnetite or goethite). Contaminant degradations in silica sand-iron mineral-$H_2O_2$ systems were identified by determining total petroleum hydrocarbon(TPH) concentration. The optimal pH of the system was 3. The system which iron minerals were the only iron source was more efficient than the system with $FeSO_4$ solution due to lower $H_2O_2$ consumption. In case of initial contaminant concentration of 1g-contaminant/kg-soil with 5 wt % magnetite, addition of 0%, 1%, 7%, 15%, and 35% of $H_2O_2$ showed 0%, 24.5%, 44%, 52%, and 70% of TPH reduction in 8 days, respectively. When the mineral contents were varied 0, 1, 5, and 10wt%, removal of contaminants were 0%, 33.5%, 50%, and 60% for magnetite and 0%, 29%, 41%, and 53% for goethite, respectively. Reaction of magnetite system showed higher degradation than that of goethite system due to dissolution of iron and mixed presence of iron(II) and iron(III); however, dissolved iron precipitated on the surface of iron mineral and seemed to cause reducing electron transfer activity on the surface and quenching $H_2O_2$. The system using goethite has better treatment efficiency due to less $H_2O_2$ consumption. When cach system was mixed by shaker, removal of contaminants increased by 41% for magnetite and 30% for goethite. Results of this study showed catalyzed $H_2O_2$ system made in-situ treatment of soil contaminated with petroleum possible without addition of iron source since natural soils generally contain iron minerals such as magnetite and goethite.

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A Study on the Treatment of Petroleum-Contaminated Soils Using Hydrogen Peroxide (석유로 오염된 토양의 과수를 이용한 처리에 관한 연구)

  • 최진호;김재호;공성호
    • Journal of Korea Soil Environment Society
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    • v.2 no.3
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    • pp.49-57
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    • 1997
  • Naturally-occurring iron minerals, goethite and magnetite, were used to catalyze hydrogen peroxide and initiate Fenton-like oxidation of silica sand contaminated with diesel, kerosene in batch systems. Reaction conditions were investigated by varying H$_2$0$_2$concentration(0%, 1%, 15%), initial contaminant concentration(0.2, 0.5, 1.0g diesel and kerosene/kg soil), and iron minerals(1, 5wt% magnetite or goethite). Contaminant degradations in silica sand-iron mineral-$H_2O$$_2$ systems were identified by determining total petroleum hydrocarbon(TPH) concentration. In case of silica sand contaminated with diesel(1g contaminan/kg soil with 5wt% magnetite) addition of 0%, 1%, 15% of $H_2O$$_2$showed 0%, 25%, and 60% of TPH reduction in 8 days, respectively When the mineral contents were varied from 1 to 5wt%, removal of contaminants increased by 16% for magnetite and 13.1% for goethite. The results from system contaminated by kerosene were similar to those of the diesel. Reaction of magnetite system was more aggressive than that of goethite system due to dissolution of iron and presence of iron(II) and iron(III); however, dissolved iron precipitated on the surface of iron mineral and seemed to cause reducing electron transfer activity on the surface and quenching $H_2$$O_2$. The system used goethite has better treatment efficiency due to less $H_2$$O_2$ consumption. Results of this study showed possible application of catalyzed $H_2$$O_2$ system to petroleum contaminated site without addition of iron source since natural soils generally contain iron minerals such as magnetite and goethite.

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A Comparative Analysis of the Forecasting Performance of Coal and Iron Ore in Gwangyang Port Using Stepwise Regression and Artificial Neural Network Model (단계적 회귀분석과 인공신경망 모형을 이용한 광양항 석탄·철광석 물동량 예측력 비교 분석)

  • Cho, Sang-Ho;Nam, Hyung-Sik;Ryu, Ki-Jin;Ryoo, Dong-Keun
    • Journal of Navigation and Port Research
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    • v.44 no.3
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    • pp.187-194
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    • 2020
  • It is very important to forecast freight volume accurately to establish major port policies and future operation plans. Thus, related studies are being conducted because of this importance. In this paper, stepwise regression analysis and artificial neural network model were analyzed to compare the predictive power of each model on Gwangyang Port, the largest domestic port for coal and iron ore transportation. Data of a total of 121 months J anuary 2009-J anuary 2019 were used. Factors affecting coal and iron ore trade volume were selected and classified into supply-related factors and market/economy-related factors. In the stepwise regression analysis, the tonnage of ships entering the port, coal price, and dollar exchange rate were selected as the final variables in case of the Gwangyang Port coal volume forecasting model. In the iron ore volume forecasting model, the tonnage of ships entering the port and the price of iron ore were selected as the final variables. In the analysis using the artificial neural network model, trial-and-error method that various Hyper-parameters affecting the performance of the model were selected to identify the most optimal model used. The analysis results showed that the artificial neural network model had better predictive performance than the stepwise regression analysis. The model which showed the most excellent performance was the Gwangyang Port Coal Volume Forecasting Artificial Neural Network Model. In comparing forecasted values by various predictive models and actually measured values, the artificial neural network model showed closer values to the actual highest point and the lowest point than the stepwise regression analysis.

A Study on the Treatment of Kerosene-Contaminated Soils Using Hydrogen Peroxide (Kerosene으로 오염된 토양의 과수를 이용한 처리에 관한 연구)

  • 최진호;김상대;공성호
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 1997.05a
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    • pp.53-56
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    • 1997
  • 오염된 토양의 복원기술 개발의 일환으로 폐수의 처리 등에 많이 이용되어온 Fenton-like oxidation을 petroleum으로 오염된 토양의 in-situ/ex-situ remediation을 위한 data 축적을 위해 실험실상에서 적용하여 보았다. 천연 토양속에 흔히 존재하는 철광석의 한 형태인 magnetite, goethite를 이용해 Fenton-like oxidation을 유도하여 silica sand에 오염된 kerosene의 분해를 잔존 TPH의 분석을 통하여 확인하였다. 초기 kerosene의 농도, 과수의 농도, 철광석의 양을 변수로 하여 최적 처리조건을 구하기 위한 실험을 진행하였다.

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해운이슈 - 포스코경영연(硏), '철강 원료업계의 구조개편과 파급영향' 발표 - 소비국인 중국과 메이저 원료사의 주도로 가격체제 다양화

  • 한국선주협회
    • 해운
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    • no.9 s.66
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    • pp.20-25
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    • 2009
  • 최근 철강 원료업계의 대규모 구조개편 움직임이 재부상하고 있으며, 과거와는 다른 특징을 가지며 전개되고 있다. BHP빌리톤과 Rio Tinto의 철광석 JV 설립 합의를 비롯하여, 철광석 및 원료탄 업계에서 메이저업체 간 합종연횡이 신조류로 등장했다. 이에 따라 현재의 장기가격 체제가 붕괴되고 최대 소비국인 중국과 메이저 원료사의 주도로 가격 체제가 다양한 형태로 변화될 전망이다. 다음은 포스코경영연구소가 발표한 보고서를 정리한 것이다.

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Selection & Application of Rust Preventives (부식방지제의 선택과 적용)

  • 박봉균
    • Tribology and Lubricants
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    • v.4 no.1
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    • pp.25-29
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    • 1988
  • 대부분의 기계장치는 철을 주재료로 하여 만들어진다. 철은 본래 순수 금속으로서는 존재하지 않고 주로 다른 원소와 결합하여 산화물로 존재한다. 철 산화물이나 철광석을 재련하면 순수금속(free metal)이 얻어지는데 성능을 개량하기 위해 소량의 다른 원소를 첨가하게 된다. 그러나 금속철을 철산화물로 되돌리려는 자연의 힘이 막강하여 유용한 금속이 못쓰게 된다. 이는 마치 인간이 철광석에서 유용한 금속을 만들어내는 것을 자연이 다시 환원시켜 인간의 성공에 반항하는 것 같다. 미국에서만 매년 철 종류의 부식에 대처하기 위해 사용되는 물질이 60억달러 이상 소요되는 것으로 추산되고 있으며 철 종류 50톤중 1톤이 매년 산화물인 녹으로 바뀌어 지고 있는 실정이다.