• Title/Summary/Keyword: Energy Industry

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An Investigation Study on Fact of Waste Heat of Domestic Industry (국내 산업폐열 현황에 대한 조사연구)

  • 박일환;박준태;유성연
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.14 no.10
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    • pp.811-816
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    • 2002
  • Waste heat exhausted from seven types of the domestic industry was surveyed, which include food, fibre, paper & wood, chemical, ceramics, metalworking and others. The databases of waste heat for each industry were made by using ACCESS software of Microsoft, and data were analyzed to get correlation between waste heat and purchase energy. The volume of usable waste heat is estimated to be 9,169,000 TOE in the year of 2000, when the minimum available temperature is set as $100^{\circ}C$ for waste gas, $30^{\circ}C$ for hot water and $100^{\circ}C$ for steam considering the condition of waste heat exhausting facilities and surroundings. This volume of waste heat is approximately 11.9 percent of the purchase energy of the domestic industry.

High Energy Density for Drying of Coated Webs-Porous Burner Combustion a New Approach

  • Schneider, Heiko;Krieger, Reinhold
    • Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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    • 2006.06b
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    • pp.205-208
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    • 2006
  • Existing gas fired burners work in the medium wave IR range at $1000^{\circ}C$ and an energy density of $200kW/m^{2}$. The patented porous burner technology reaches the short wave IR spectrum ($1450^{\circ}C$) and comes up to an energy density of $1000kW/m^{2}$. This technology is of great interest for various applications in paper industry. Speeding up existing coating lines can be realized without a major revamp of the line. Main characteristics of this new developed technology enable a better process control. In this paper the porous burner technology for paper industry is evaluated.

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Opportunities of Reducing Refining Energy Using Enzyme and Dry Strength Agent (효소처리와 지력증강제 활용을 통한 고해동력 절감)

  • 이학래;서만석;허용대;강태영
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.35 no.3
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    • pp.29-36
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    • 2003
  • Reducing the energy consumption while maintaining pulp quality is an important objective of today's paper industry. Enzymatic treatment of fibers and the application of dry strength agent were investigated as methods to reduce energy consumption during refining and to upgrade fiber characteristics. Modification of recycled fibers with an enzyme was effective in improving relining efficiency and reducing refining energy. Optimization of dry strength agent application conditions including stock pH, cationic demand, zeta potential, etc. were found to be very important for improving its effectiveness.

Development of Preheating Module for Domestic Heating Facility, Using PCM(Phase Change Material) Thermal Storage Equipment (상변화물질(PCM)을 이용한 가정용 보일러의 잠열축열식 예열모듈 개발)

  • Son, Chul-Min;Kim, Tae-Wook;Na, Kyu-Dong
    • Journal of the Korean Society of Industry Convergence
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    • v.12 no.3
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    • pp.163-169
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    • 2009
  • A preheating module for domestic heating facility will increase a energy efficiency. That collects the wasted heat of exhaust gas and saves the energy. So a heating load is decreased because of a preheating that has a heating energy. Using of a preheating module, a boiler can reduce frequent operation of a burner. So it is increased persistence, decreased discharging noxious gases. Therefore we will intend to develop a heating facility that is a convenient system for the saving energy.

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Forecasting Energy Consumption of Steel Industry Using Regression Model (회귀 모델을 활용한 철강 기업의 에너지 소비 예측)

  • Sung-Ho KANG;Hyun-Ki KIM
    • Journal of Korea Artificial Intelligence Association
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    • v.1 no.2
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    • pp.21-25
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    • 2023
  • The purpose of this study was to compare the performance using multiple regression models to predict the energy consumption of steel industry. Specific independent variables were selected in consideration of correlation among various attributes such as CO2 concentration, NSM, Week Status, Day of week, and Load Type, and preprocessing was performed to solve the multicollinearity problem. In data preprocessing, we evaluated linear and nonlinear relationships between each attribute through correlation analysis. In particular, we decided to select variables with high correlation and include appropriate variables in the final model to prevent multicollinearity problems. Among the many regression models learned, Boosted Decision Tree Regression showed the best predictive performance. Ensemble learning in this model was able to effectively learn complex patterns while preventing overfitting by combining multiple decision trees. Consequently, these predictive models are expected to provide important information for improving energy efficiency and management decision-making at steel industry. In the future, we plan to improve the performance of the model by collecting more data and extending variables, and the application of the model considering interactions with external factors will also be considered.

New Energy Business Revitalization Model with Smart Energy System: Focused on ESS, EV, DR (스마트에너지 방식을 적용한 전력신산업 활성화 모델 사례 연구: ESS, 전기차 충전, 전력수요관리 중심으로)

  • Jae Woo, Shin
    • Journal of Information Technology Services
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    • v.21 no.6
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    • pp.117-125
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    • 2022
  • In respond to climate change caused by global environmental problems, countries around the world are actively promoting the advancement of new electricity industries. The new energy business is being applied to energy storage systems (ESS), electric vehicle charging business, and power demand response using cutting edge technologies. In 2022, the Korean government is also establishing a policy stance to foster new energy industries and making efforts to improve its responsiveness to power demand response with the innovative technologies. In Korea, attempts to commercialize energy power are also being made in the private and public sectors to control energy power in houses, buildings, and industries. For example, private companies, local governments, and central government are making all-out efforts to develop new energy industry models through joint investment. There are forms such as establishing energy-independent facilities by region, establishing an electric vehicle charging system, controlling urban lighting systems with Information technologies, and managing demand between power suppliers and power consumers. This study examined the business model applied with energy storage system, electric vehicle charging business, smart lighting, and power demand response based on information communication technology to examine the site where smart energy system was introduced. According to this study, company missions and government tasks are suggested to apply new energy business technologies as economical energy solutions that meet the purpose of use by region, industry, and company.

The Economic Effect of Industrial Investment on North Korea Energy and Natural Gas (북한 에너지산업과 천연가스분야 투자에 따른 경제적 파급효과)

  • Kim, Hyoung-Tae;Chae, Jung-Min;Cho, Young-Ah;Kim, Jin-Ho
    • Journal of the Korean Institute of Gas
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    • v.20 no.4
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    • pp.7-14
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    • 2016
  • The economic crisis in North Korea has reduced its capacity to invest in the energy industries. The country is going through a vicious cycle of decreased investment in the energy industries and reduced energy production. This suggests that the energy industries would come to the top priority of investment once the economy improves. This paper calculated the economic ripple effect of the investment on North and South Korean economies based on the assumption that 390 billion won was invested in the construction of a natural gas combined-cycle power plant in Gaesong Industrial Complex. In order to analyze the economic ripple effect of the investment on North Korean economy, we constructed the inter-industry relation table of North Korea for year 2014 and used the input-output model. The ripple effect of the investment in the natural gas industry turned out to be 1.012 billion dollars. In order to analyze the effect of the investment on South Korean economy, we constructed the inter-industry relation table of South Korea for year 2013 and used the demand-driven model for inter-industry analysis. As a result, production, added-value and employment inducement coefficients of the investment in the natural gas industry were calculated as 2.02073, 0.62697 and 8.99409 respectively.

Surface Graft Polymerization of Poly(ethylene glycol) Methacrylate onto Kenaf Pulp using Gamma-ray Irradiation (감마선을 이용한 케나프 펄프 표면의 Poly(ethylene glycol) Methacrylate 그라프트 중합반응)

  • Oh, Doori;Jeun, Joon Pyo;Kang, Phil Hyun
    • Journal of Radiation Industry
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    • v.6 no.3
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    • pp.251-255
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    • 2012
  • Pulp is typically used for paper industry to manufacturing various types of papers. However simply chemical modification makes enable the pulp to a wide range of application in various industrial fields. To bring the polymerization the gamma ray irradiated on the mixture of kenaf and PEGMA in various dose ranges from 20 to 60 kGy. As a results, the graft degree of 20.0% was obtained from 475 g of gamma ray irradiated pulp and PEGMA. After the polymerization, the chemical structure and morphology of the surfaces were examined by Fourier transform infrared spectroscopy, thermogravimetric analysis, and scanning electron microscope. Chemical structure of grafted pulp has significantly growth in carbonyl content with increasing the radiation dose. Also surface morphology was distinctly changed with decreased the degree of roughness and increasing the diameter. These results were explained gamma ray irradiation improve performance of graft polymerization efficiency.