• Title/Summary/Keyword: Eco-Efficiency

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Optimization of Cooling Conditions by Supplying Cutting Oil Applied with Mist Nozzle to Minimize Tapping Processing Temperature (Tapping 가공 온도 최소화를 위해 미스트 노즐 적용 절삭유 공급에 따른 냉각조건 최적화)

  • Oh, Chang-hyouk;Kim, Young-Shin;Jeon, Euy-Sik
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.5
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    • pp.98-104
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    • 2022
  • When processing parts, the cutting oil can improve the cooling performance of the workpiece and tool to increase the precision of the workpiece or extend the life of the tool and facilitate chip extraction. Since such cutting oil has a harmful effect on the environment and the human body due to additives such as sulfur, research on a minimum lubrication supply method using an eco-friendly oil is recently underway. The minimum lubrication supply method minimizes the amount of cutting oil used during processing and processes it, which can reduce the amount of cutting oil used, but has a problem in that cooling performance efficiency is poor. Therefore, this study conducted a study on mist cooling of lubricants to reduce the amount of cutting oil used and maximize the cooling effect of processing heat generated during tapping processing. Spray pressure, processing speed, direction, and lubricant spray amount, which are considered to have an effect on cooling performance, were set as process conditions, and the effect on temperature was analyzed by performing an experiment using the box benquin method among experiments were analyzed. Through the experimental analysis results, the optimal conditions for mist and processing that maximize the cooling effect were derived, and the validity of the results derived through additional experiments was verified. In the case of processing by applying the mist lubrication method verified through this study, it is considered that high-precision processing is possible by improving the cooling effect.

Characterizations of Commercial Bipolar Membranes for Efficient Electrochemical LiOH Production (효율적인 전기화학적 LiOH 생산을 위한 상용 바이폴라막 특성 분석)

  • Song, Hyeon-Bee;Kang, Moon-Sung
    • Membrane Journal
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    • v.32 no.5
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    • pp.357-365
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    • 2022
  • Recently, as the demand for secondary batteries for electric vehicles has rapidly increased, the efficient production of lithium compounds is attracting great attention. Bipolar membrane electrodialysis (BPED) is known as an eco-friendly, economical, and efficient electrochemical lithium compound production process. Since the efficiency of the BPED depends on the performance of the bipolar membrane (BPM), the selection of the BPM is very important. In this study, the characteristics of BPMs suitable for the BPED for electrochemical LiOH production were derived by comparative analyses of BP-1E (Astom) and FBM (Fumatech), which are the most widely used commercial BPMs in the world. Through systematical evaluation, it was confirmed that reducing membrane ion transfer resistance and co-ion leakage among the characteristics of BPM is the most important, and BP-1E has better performance than FBM in this respect.

A Numerical Study on the Flame Arrestor for Safety Valve of Hydrogen (수소 안전밸브용 역화방지기의 성능 평가에 대한 수치해석 연구)

  • OH, SEUNG JUN;YOON, JEONG HWAN;KIM, SI POM;CHOI, JEONGJU
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.4
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    • pp.391-399
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    • 2022
  • Hydrogen is one of the energy carriers and has high energy efficiency relative to mass. It is an eco-friendly fuel that makes only water (H2O) as a by-product after use. In order to use hydrogen conveniently and safely, development of production, storage and transfer technologies is required and attempts are being made to apply hydrogen as an energy source in various fields through the development of the technology. For transporting and storing hydrogen include high-pressure hydrogen gas storage, a type of storage technologies consist of cryogenic hydrogen liquid storage, hydrogen storage alloy, chemical storage by adsorbents and high-pressure hydrogen storage containers have been developed in a total of four stages. The biggest issue in charging high-pressure hydrogen gas which is a combustible gas is safety and the backfire prevention device is that prevents external flames from entering the tank and prevents explosion and is essential to use hydrogen safely. This study conducted a numerical analysis to analyze the performance of suppressing flame propagation of 2, 3 inch flame arrestor. As a result, it is determined that, where the flame arrestor is attached, the temperature would be lowered below the temperature of spontaneous combustion of hydrogen to suppress flame propagation.

Enhancing Electrical and Optical Properties in Mechanoluminescent Flexible Nanocomposite Based on ZnS:Cu-PDMS by Mixing CNTs (ZnS:Cu-PDMS 기반 기계 발광 유연 나노 복합체의 CNT 혼입에 따른 전기 및 광학적 특성 향상에 대한 연구)

  • Tae-Min Kim;Hyun-Woo Kim;Jong-Hyeok Yoon;Mi-Hee Kim;Da-Bin Jeon;Dae-Choul Choi;Sung-Nam Lee
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.36 no.5
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    • pp.531-535
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    • 2023
  • Mechanoluminescence (ML) is a phenomenon where the application of mechanical force to ML materials generates an electric field and produces light, holding significant promise as an eco-friendly technology. However, challenges in commercializing ML technology has arisen due to its low brightness and short luminous lifetime. To address this, in this work, we enhance ML efficiency by mixing carbon nanotubes (CNTs) into a ZnS: Cu embedded in a polydimethylsiloxane composite ML device. The inclusion of CNTs boosts ML intensity by 98% compared to devices without CNTs, as the increasing CNT fraction elevates conductivity, thereby amplifying ML intensity. However, this increase in CNT fraction also leads to enhanced light absorption within the device. Consequently, we observe a trend where ML intensity rises initially but declines beyond a CNT fraction of 0.0015 wt%. Based on these findings, we anticipate that our research will make valuable contributions to the advancement of electrical powerless mechanoluminescent technology.

Ternary Blend Organic Solar Cells Trends based on PM6:Y6 (PM6:Y6를 기반으로 한 삼중 혼합 유기 태양전지 동향)

  • Dong Hwan Yun;Gwang Yong Shin;Yun Hye Jung;YeongWoo Ha;Gi-Hwan Kim
    • Current Photovoltaic Research
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    • v.11 no.3
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    • pp.79-86
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    • 2023
  • As we strive to mitigate the environmental impact caused by the use of fossil fuels, the exploration of alternative energy sources has gained significant attention. Solar energy, in particular, has emerged as a promising solution due to its eco-friendly nature and virtually limitless availability. Among the various types of solar cells that harness this abundant energy source, organic solar cells have garnered considerable interest. Organic solar cells feature a photo-active layer composed of organic semiconductors, offering a range of appealing advantages such as cost-effectiveness, flexibility, translucency, and the ability to produce customizable colors. However, the commercialization of organic solar cells has been impeded by certain challenges, notably their relatively low efficiency and stability. To overcome these obstacles and pave the way for wider adoption, researchers have been exploring innovative approaches, including the implementation of ternary blend organic solar cells. This strategy involves introducing a third component into the photo-active layer alongside the organic semiconductors, with the aim of enhancing the overall performance of the solar cell. In this paper, we delve into the issues associated with organic solar cells and focus on one potential solution: ternary blend organic solar cells. Specifically, we examine the application of this approach to PM6:Y6, which stands as one of the most popular combinations of organic semiconductors. By investigating the potential of ternary blends, particularly utilizing PM6:Y6, we aim to accelerate the commercialization of organic solar cells.

Machine Learning-based hydrogen charging station energy demand prediction model (머신러닝 기반 수소 충전소 에너지 수요 예측 모델)

  • MinWoo Hwang;Yerim Ha;Sanguk Park
    • Journal of Internet Computing and Services
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    • v.24 no.2
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    • pp.47-56
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    • 2023
  • Hydrogen energy is an eco-friendly energy that produces heat and electricity with high energy efficiency and does not emit harmful substances such as greenhouse gases and fine dust. In particular, smart hydrogen energy is an economical, sustainable, and safe future smart hydrogen energy service, which means a service that stably operates based on 'data' by digitally integrating hydrogen energy infrastructure. In this paper, in order to implement a data-based hydrogen charging station demand forecasting model, three hydrogen charging stations (Chuncheon, Sokcho, Pyeongchang) installed in Gangwon-do were selected, supply and demand data of hydrogen charging stations were secured, and 7 machine learning and deep learning algorithms were used. was selected to learn a model with a total of 27 types of input data (weather data + demand for hydrogen charging stations), and the model was evaluated with root mean square error (RMSE). Through this, this paper proposes a machine learning-based hydrogen charging station energy demand prediction model for optimal hydrogen energy supply and demand.

Sustainable Smart City Building-energy Management Based on Reinforcement Learning and Sales of ESS Power

  • Dae-Kug Lee;Seok-Ho Yoon;Jae-Hyeok Kwak;Choong-Ho Cho;Dong-Hoon Lee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.4
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    • pp.1123-1146
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    • 2023
  • In South Korea, there have been many studies on efficient building-energy management using renewable energy facilities in single zero-energy houses or buildings. However, such management was limited due to spatial and economic problems. To realize a smart zero-energy city, studying efficient energy integration for the entire city, not just for a single house or building, is necessary. Therefore, this study was conducted in the eco-friendly energy town of Chungbuk Innovation City. Chungbuk successfully realized energy independence by converging new and renewable energy facilities for the first time in South Korea. This study analyzes energy data collected from public buildings in that town every minute for a year. We propose a smart city building-energy management model based on the results that combine various renewable energy sources with grid power. Supervised learning can determine when it is best to sell surplus electricity, or unsupervised learning can be used if there is a particular pattern or rule for energy use. However, it is more appropriate to use reinforcement learning to maximize rewards in an environment with numerous variables that change every moment. Therefore, we propose a power distribution algorithm based on reinforcement learning that considers the sales of Energy Storage System power from surplus renewable energy. Finally, we confirm through economic analysis that a 10% saving is possible from this efficiency.

Development of Controlled Gas Nitriding Furnace(III) : Application of Controlled Gas Nitriding Process and Evaluation of Durability for SCR420H Annulus gear (질화포텐셜 제어 가스질화로 개발(III) : SCR420H 에널러스기어에 대한 제어질화 적용 및 내구성 평가)

  • Won-Beom Lee;Minjae Jung;Min-Sang Kwon;Taehwan Kim;Chulwoo Moon
    • Journal of the Korean Society for Heat Treatment
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    • v.36 no.3
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    • pp.161-173
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    • 2023
  • This study investigated the effects of KN and process time on the formation of a compound layer at a nitriding temperature of 540℃ for SCR420H material. As a result of controlled nitriding from 3 h to 20 h at KN 1.2 atm-1/2, compound layers were formed up to about 10 ㎛, and an effective hardening depth of about 460 ㎛ was obtained. Initially, an ε+γ' complex phase was formed, and the phase fraction changed over time, and finally, the fraction of ε phase decreased to less than 1%. With higher KN, the compound thickness increased, a pore layer was formed on the surface, and the surface hardness decreased. By applying the controlled nitriding process, it was possible to produce annulus gears with a compound thickness of 12.8 ㎛ and an ε phase of 5% or less. The annulus gears made through controlled nitriding were mounted on a 6-speed transmission and tested for durability. As a result, the durability test of 250,000 km was satisfied, and the transmission efficiency was also confirmed to be expected.

A Study on the Quantitative Evaluation Method of Small-Scale Environmental Impact Assessment

  • Dong-Myung CHO;Ju-Yeon LEE;Woo-Taeg KWON
    • Journal of Wellbeing Management and Applied Psychology
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    • v.6 no.2
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    • pp.39-46
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    • 2023
  • Purpose: The small-scale environmental impact assessment system in Korea was introduced and implemented in August 2000, but it has a problem that it cannot guarantee implementation due to the large proportion of qualitative reduction measures for each evaluation item. Therefore, when preparing a small-scale environmental impact assessment, research was conducted on how to improve the existing simple listing-type reduction measures and qualitative evaluation standards to quantitative reduction measures and evaluation standards reflecting regional characteristics. Research design, data and methodology: The small-scale environmental impact assessment system in Korea was introduced and implemented in August 2000, but it has a problem that it cannot guarantee implementation due to the large proportion of qualitative reduction measures for each evaluation item. Therefore, when preparing a small-scale environmental impact assessment, research was conducted on how to improve the existing simple listing-type reduction measures and qualitative evaluation standards to quantitative reduction measures and evaluation standards reflecting regional characteristics. Results: As a result of the analysis of qualitative and quantitative factors, the arithmetic sum of the qualitative factors of the total six projects is 160, accounting for 80% of the total number of reduction measures, and the quantitative factors are 40, accounting for 20%. Among them, the number of qualitative reduction measures reached 97.4% for animal and plant items, and more than 90% for air quality, noise and vibration, and eco-friendly resource circulation items. Conclusions: Therefore, it is necessary to avoid establishing qualitative reduction measures and set quantitative measures as the basis, but to specify the specifications, size, and installation location related to the reduction measures, and to calculate the numerical reduction efficiency.

Material Life Cycle Assessment on Mg2NiHx-CaF2 Composites (Mg2NiHx-CaF2 수소 저장 복합체의 물질 전과정 평가)

  • HWANG, JUNE-HYEON;SHIN, HYO-WON;HONG, TAE-WHAN
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.2
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    • pp.148-157
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    • 2022
  • Research on hydrogen storage is active to properly deal with hydrogen, which is considered a next-generation energy medium. In particular, research on metal hydride with excellent safety and energy efficiency has attracted attention, and among them, magnesium-based hydrogen storage alloys have been studied for a long time due to their high storage density, low cost, and abundance. However, Mg-based alloys require high temperature conditions due to strong binding enthalpy, and have many difficulties due to slow hydrogenation kinetics and reduction in hydrogen storage capacity due to oxidation, and various strategies have been proposed for this. This research manufactured Mg2Ni to improve hydrogenation kinetics and synthesize about 5, 10, 20 wt% of CaF2 as a catalyst for controlling oxidation. Mg2NiHx-CaF2 produced by hydrogen induced mechanical alloying analyzed hydrogenation kinetics through an automatic PCT measurement system under conditions of 423 K, 523 K, and 623 K. In addition, material life cycle assessment was conducted through Gabi software and CML 2001 and Eco-Indicator 99' methodology, and the environmental impact characteristics of the manufacturing process of the composites were analyzed. In conclusion, it was found that the effects of resource depletion (ARD) and fossil fuels had a higher burden than other impact categories.