• Title/Summary/Keyword: 탄소배출분석

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Si@C/rGO Composite Anode Material for Lithium Ion Batteries (리튬 이온 전지용 음극으로서의 Si@C/rGO의 합성)

  • Chaehyun Kim;Sung Hoon Kim;Wook Ahn
    • Journal of the Korean Electrochemical Society
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    • v.27 no.2
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    • pp.73-79
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    • 2024
  • As the use of fossil fuels has gradually increased, so has the emission of greenhouse gases such as carbon dioxide, leading to environmental problems. As a result, lithium-ion batteries (LiB) have emerged as the solution to this issue. To manufacture medium to large-sized lithium-ion batteries (LiB), it requires electrodes with high capacity and fast charging capabilities. Silicon (Si) is considered a next-generation anode with high-capacity properties, so, reduced graphene oxide (rGO) was compounded with Si@resorcinol-formaldehyde resin (RF) composite to prevent the volume expansion of Si. It was confirmed that the composite anode prepared exhibited improved capacity and enhanced stability.

A Study on Energy Saving and Safety Improvement through IoT Sensor Monitoring in Smart Factory (스마트공장의 IoT 센서 모니터링을 통한 에너지절감 및 안전성 향상 연구)

  • Woohyoung Choi;Incheol Kang;Changsoo Kim
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.117-127
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    • 2024
  • Purpose: The purpose is to conduct basic research to save energy and improve the safety of manufacturing plant infrastructure by comprehensively monitoring energy management, temperature, humidity, dust and gas, air quality, and machine operation status in small and medium-sized manufacturing plants. Method: To this end, energy-related data and environmental information were collected in real time through digital power meters and IoT sensors, and research was conducted to disseminate and respond to situations for energy saving through monitoring and analysis based on the collected information. Result: We presented an application plan that takes into account energy management, cost reduction, and safety improvement, which are key indicators of ESG management activities. Conclusion: This study utilized various sensor devices and related devices in a smart factory as a practical case study in a company. Based on the information collected through research, a basic system for energy saving and safety improvement was presented.

A Study on the Perceptions of Pre-service Early Childhood Teachers on Climate Change (예비유아교사의 기후변화에 대한 인식 연구)

  • Se-Ru Kim
    • Journal of the Health Care and Life Science
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    • v.10 no.2
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    • pp.379-386
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    • 2022
  • This study was conducted with 150 pre-service early childhood teachers at G University in G Metropolitan City to find out the perceptions of pre-service early childhood teachers on climate change. The questionnaires were collected and frequency, percentage, and multiple response analysis were conducted. As a result of the study, first, all pre-service early childhood teachers perception of climate change was recognized, and a sufficient understanding of the concept of greenhouse effect, concept of climate change, and types of greenhouse gases was required, and scientific knowledge was insufficient. Second, about the relationship between climate change and humans, the causes of global warming and the signals of climate change were properly recognized. The awareness of the effects of global warming was high, but the comprehensive understanding was insufficient. Third, the convention on climate change knows to some extent how to respond to climate change, and the international community recognizes the subject of climate change prevention, and climate mitigation efforts are limited to individuals. It was found that most of the practical contents for reducing carbon emissions in daily life are being practiced well. These results are intended to provide basic data for the development of educational programs for pre-service early childhood teachers on climate change.

An Experimental Study of Fuel Economy and Emission Characteristics for a Heavy-Duty DME Bus (대형 DME버스의 연비 및 배기가스 특성에 관한 연구)

  • Oh, Yong-Il;Pyo, Young-Duk;Kwon, Ock-Bae;Beak, Young-Sun;Cho, Sang-Hyun;Lim, Ock-Taeck
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.36 no.4
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    • pp.371-376
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    • 2012
  • The experimental test was conducted for a heavy-duty DME bus in JE-05 exhaust gas test mode using a chassis dynamometer, exhaust gas analyzers, and a PM measurement system. The heavy-duty DME bus was not equipped with after-treatment systems such as DOC or DPF. The dynamic behavior, emission characteristics, and fuel economy of the bus were investigated with an 8.0-liter, 6-cylinder conventional diesel engine. The results showed that the dynamic behavior in DME mode was almost the same as in diesel mode. However, there was little difference among the two operation modes for $NO_x$ and CO emissions. THC emissions were lower for DME mode than for diesel mode. Also, the amount of PM emissions was remarkably lower than for the diesel mode because DME contains a greater amount of oxygen than diesel. The data showed that $CO_2$ emissions were almost similar in the two modes but fuel economy (calculated using heating value) was lower for DME mode than for diesel mode.

Characterization of Product Gas and Residues from Arc Cracking of Waste Lubricating Oil (폐윤활유의 아크 열분해 생성물 및 잔류물 특성 연구)

  • 김인태;김정국;송금주;서용칠;김준형
    • Resources Recycling
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    • v.8 no.5
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    • pp.34-43
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    • 1999
  • An elecmc arc cracking reaclor is developed for the productiol~o f ieusuble fuel gas by the thennal destruction of waste oil. The churaclensucs of product gas and ~esiduesf rom arc crachng of wnste lubr~cat~nogil are sludird. Thc product gas is mainly coruposcd of hydrogen 135-4076), acetylene (13-4076), ethylene 13-476) and olher hgdrocnrbons. The contenr of carbon monomde, one or the main product in a conventional low-temperature Lhennal cracking umt, 1s very slnvll in lhis atc cracking expcnmcnt. Total calocctic wlue of product gas shows 11,000-13.000 kcizlkg, which is hiph cnough to use as a ~ L I I I Cga~ s . and the concentralions oC loxic gases arc well below the rcguliltury emission critena The GCIMS analysis of llquld-phase residues shows that the high rnalccular welgllt hydrocilrbons in the waste oil arc cracked into the low malecular weight hydrocarbons snd hydroem,. The dehydrogcnntion is found lo be Lhe main cracking rcacuon due lo the high temperalure ~ ~ ~ d ubcyc edle ctric arc. The average parucle size of soot as the solid-phase residue is 10 3 wm, and the conlents of cabon a ~ hdea vy metals are abovc 60% and under 0.01 ppm, respecttrely. Thc utllizvtion or sool, as industl-id1 rcsource seems lo he reasible aIter refimng.

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Environmental Effects on the Benthic Polychaete Communities Around the Power Plant Areas in the East Sea of Korea (동해 발전소 주변의 저서다모류 군집에 영향을 미치는 환경 요인)

  • KWON, SOON HYUN;LEE, JAE HAC;YU, OK HWAN
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.22 no.1
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    • pp.18-30
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    • 2017
  • The East Sea is almost entirely composed of sandy facies, and the facies type is the major factor influencing benthic polychaete communities. There have been few studies of the effects of environmental factors on benthic polychaetes in thermal discharge areas consisting of different sediment types. This study identified the spatial distribution patterns based on the species composition and distribution of benthic polychaete communities, and the environmental factors influencing benthic polychaetes near power plants were investigated. The polychaete communities in the Uljin, Hupo, and Gori coastal areas near the power plants in the East Sea were seasonally investigated from August 2006 to February 2013. As a result, 283 species were collected. The dominant species were Spiophanes bombyx, Magelona japonica, Lumbrineris longifolia, and Sternaspis scutata. Spiophanes bombyx was the dominant species at Uljin and Hupo, but M. japonica was the dominant species at Gori. Two dominant species from the coastal waters of the East Sea, Lumbrineris longifolia and M. japonica, were rare in the power plant water intake or drainage areas. Cluster analysis was performed to divide the study area into groups by the total organic carbon content, sediment grain size and facies patterns. This study suggests that the community structures of polychaetes are more affected by the total organic carbon, grain size of sediment and facies than by disturbance from thermal discharge, which only affected the polychaete community near power plant drainage areas.

Economic Analysis of Livestock Manure Solid Fuel Manufacturing and Power Generation Facility (가축분뇨 고체연료 제조 및 발전시설의 경제성 분석)

  • Kim, Chang-Gyu;Yoon, Young-Man
    • Journal of the Korea Organic Resources Recycling Association
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    • v.30 no.2
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    • pp.29-42
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    • 2022
  • The government promotes the 2050 carbon-neutral policy. Therefore, the concern to convert livestock manure into energy is increasing for the reduction of greenhouse gases generated in the livestock industry sector. In this study, the economic feasibility of the livestock manure solid fuel power generation facility, which is a major consumer of livestock manure solid fuel, was assessed to expand the demand for livestock manure solid fuel. The production cost of livestock manure solid fuel showed the lowest production cost of 97.4 thousand won/ton when dried using solid fuel at a 200 ton/day scale bio-drying facility. The livestock manure solid fuel power generation facility showed economic feasibility at a REC weight of 1.5 in the case of the bio-drying facility, so it was necessary to set a REC weight of 1.5 or more to expand the demand for livestock manure solid fuel. The conversion of livestock manure into solid fuel has various environmental benefits, such as the reduction of greenhouse gases and the effect of reducing non-point pollutants in the water system. Therefore, in order to expand livestock manure solid fuel production facility, it was required to review the feasibility including various environmental benefits.

Spatial Analysis of Carbon Storage in Satellite Radar Imagery Utilizing Sentinel-1: A Case Study of the Ungok Wetlands (위성 레이더 영상 중 Sentinel-1을 활용한 탄소 흡수원 공간분석 - 운곡습지를 대상으로 -)

  • Ha-Eun Yu;Young-Il Cho;Shin-Woo Lee;Moung-Jin Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.6_3
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    • pp.1731-1745
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    • 2023
  • Within the framework of the post-2020 climate regime, the Paris Agreement's emphasis on Nationally Determined Contributions and Biennial Transparency Reporting is paramount in addressing its long-term temperature goal. A salient issue is the treatment of wetland ecosystems within the context of Land Use, Land-Use Change, and Forestry, as defined by the Intergovernmental Panel on Climate Change. In the 2019 National Inventory Report, wetlands were recategorized as emission sources due to their designation as inundated areas. This study employs C-band radar imagery to discriminate between inundated and non-inundated regions of wetlands, enabling the quantification of their spatial dynamics. The research capitalizes on 24-period Sentinel-1 satellite data to cover both the inundation and desiccation phases while centering its attention on Ungok Wetland, a Ramsar-designated inland wetland conservation area in Korea. The inundated area is quantitatively assessed through the integration of multi-temporal Sentinel-1 Single-Look Complex (SLC) data, aerial orthophotography, and inland wetland spatial information. Furthermore, the study scrutinizes fluctuations in the maximum and minimum inundated areas, with substantial changes corroborated via drone aerial reconnaissance. The outcomes of this investigation hold the potential to make substantive contributions to the refinement of national greenhouse gas absorption and emission factors, thereby informing the development of comprehensive greenhouse gas inventories. These efforts align directly with the overarching objectives of the Paris Agreement.

Feasibility Analysis on Replacing LED Lighting with Incandescent Bulbs in Public Institution (백열 전구의 LED 조명 교체에 대한 타당성 분석 - 공공기관을 중심으로 -)

  • Park, Youn Mi;Lee, Myung Koon
    • Journal of Climate Change Research
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    • v.1 no.3
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    • pp.205-210
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    • 2010
  • LED light has various advantages such as an energy saving effect of over 80% compared to existing lighting and environmentally friendly characteristics; however, there has been no affordable market for LED lighting because of its expensive price. This study discussed the validity of the expansion of distribution of LED lighting through an assessment of economic efficiency concerning LED lightening in order to analyze its efficiency in terms of energy savings and maintenance and repair, which will be generated as a result of the change from existing incandescent bulbs to LED lighting in the public sector. As to the target of analysis, the paper reviewed the validity of change to LED lighting as a result of the elimination of existing incandescent bulbs, by referring to 'the current incandescent bulb use and elimination performance' published by the Ministry of Knowledge Economy based on the "Elimination management system" executed by Korea Energy Management Corporation. The paper considered expenses for change, annual power savings amount and electric charges savings amount, repair and maintenance cost, $CO_2$ reduction volume, and the profit from the sale of CER (certified emission reduction). As a result of analyzing economic efficiency, when the discount rate during the change of existing incandescent bulb lighting to LED lighting is 3.26%, the profit was 8,648,400,000 won. Accordingly, NPV was analyzed to have a 'positive (+)' value, which means that this change is profitable.

Research on artificial intelligence based battery analysis and evaluation methods using electric vehicle operation data (전기 차 운행 데이터를 활용한 인공지능 기반의 배터리 분석 및 평가 방법 연구)

  • SeungMo Hong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.6
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    • pp.385-391
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    • 2023
  • As the use of electric vehicles has increased to minimize carbon emissions, the analyzing the state and performance of lithium-ion batteries that is instrumental in electric vehicles have been important. Comprehensive analysis using not only the voltage, current and temperature of the battery pack, which can affect the condition and performance of the battery, but also the driving data and charging pattern data of the electric vehicle is required. Therefore, a thorough analysis is imperative, utilizing electric vehicle operation data, charging pattern data, as well as battery pack voltage, current, and temperature data, which collectively influence the condition and performance of the battery. Therefore, collection and preprocessing of battery data collected from electric vehicles, collection and preprocessing of data on driver driving habits in addition to simple battery data, detailed design and modification of artificial intelligence algorithm based on the analyzed influencing factors, and A battery analysis and evaluation model was designed. In this paper, we gathered operational data and battery data from real-time electric buses. These data sets were then utilized to train a Random Forest algorithm. Furthermore, a comprehensive assessment of battery status, operation, and charging patterns was conducted using the explainable Artificial Intelligence (XAI) algorithm. The study identified crucial influencing factors on battery status, including rapid acceleration, rapid deceleration, sudden stops in driving patterns, the number of drives per day in the charging and discharging pattern, daily accumulated Depth of Discharge (DOD), cell voltage differences during discharge, maximum cell temperature, and minimum cell temperature. These factors were confirmed to significantly impact the battery condition. Based on the identified influencing factors, a battery analysis and evaluation model was designed and assessed using the Random Forest algorithm. The results contribute to the understanding of battery health and lay the foundation for effective battery management in electric vehicles.