• Title/Summary/Keyword: carbon utilization

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Exploring the Knowledge Structure of Fuel Cell Electric Vehicle in National R&D Projects for the Hydrogen Economy (수소 경제를 위한 국가R&D과제에서 연료전지전기차의 지식구조 탐색)

  • Choi, Jung Woo;Lee, Ji Yeon;Lee, Byeong-Hee;Kim, Tae-Hyun
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.306-317
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    • 2021
  • With a global shift from carbon economy towards hydrogen economy, leading countries such as the U.S., Europe, China, and Japan are focusing their research capabilities on hydrogen research and development(R&D) by announcing various hydrogen economy policies. South Korea also has been following this global trend by announcing hydrogen economy roadmap in January 2019 and legislating hydrogen economy related law. In this paper, we tried to figure out the national R&D trend of Fuel Cell Electric Vehicle(FCEV) and its knowledge structure by using recent 10-year project data of National Technology and Information Service(NTIS). We collected 1,479 FCEV-related projects and conducted text mining and network analysis. According to the analysis, FCEV-related R&D has been actively carried out over the entire process of hydrogen production, transport, storage, and utilization. Furthermore, the paper provides insights into the government's policy agenda building and market strategy on the hydrogen economy.

Efficient Utilization of Public Bicycle Stations (공영자전거 스테이션의 효율적 활용 방안에 관한 연구)

  • Park, Ki Jun;Jung, Hun Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.1
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    • pp.75-81
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    • 2022
  • Public bicycles are a representative eco-friendly transportation means that can reduce carbon emissions and play an important role in first/last mile mobility and that can be linked to public transportation in the future MaaS era. In 2008, Changwon City started operating donor bicycles for the first time in Korea. However, as the infrastructure of public bicycles has expanded without a theoretical basis for over 10 years, operating costs are increasing due to a decrease in operational efficiency, which makes it difficult to quantitatively expand the service. In this study, a method for calculating the number of stands suitable for the use of public bicycles was presented, and an efficiency index was developed to evaluate the efficiency of public bicycle infrastructure. The method presented in this study was found by examining the relationship between numbers of rentals and returns of public bicycles and the number of bicycle holders. It is expected that the results can be used by other local governments.

Hybrid adaptive neuro fuzzy inference system for optimization mechanical behaviors of nanocomposite reinforced concrete

  • Huang, Yong;Wu, Shengbin
    • Advances in nano research
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    • v.12 no.5
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    • pp.515-527
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    • 2022
  • The application of fibers in concrete obviously enhances the properties of concrete, also the application of natural fibers in concrete is raising due to the availability, low cost and environmentally friendly. Besides, predicting the mechanical properties of concrete in general and shear strength in particular is highly significant in concrete mixture with fiber nanocomposite reinforced concrete (FRC) in construction projects. Despite numerous studies in shear strength, determining this strength still needs more investigations. In this research, Adaptive Neuro-Fuzzy Inference System (ANFIS) have been employed to determine the strength of reinforced concrete with fiber. 180 empirical data were gathered from reliable literature to develop the methods. Models were developed, validated and their statistical results were compared through the root mean squared error (RMSE), determination coefficient (R2), mean absolute error (MAE) and Pearson correlation coefficient (r). Comparing the RMSE of PSO (0.8859) and ANFIS (0.6047) have emphasized the significant role of structural parameters on the shear strength of concrete, also effective depth, web width, and a clear depth rate are essential parameters in modeling the shear capacity of FRC. Considering the accuracy of our models in determining the shear strength of FRC, the outcomes have shown that the R2 values of PSO (0.7487) was better than ANFIS (2.4048). Thus, in this research, PSO has demonstrated better performance than ANFIS in predicting the shear strength of FRC in case of accuracy and the least error ratio. Thus, PSO could be applied as a proper tool to maximum accuracy predict the shear strength of FRC.

Properties of Woodceramics Made from MDF (MDF로 제조된 우드세라믹의 성질)

  • Oh, Seung-Won;Byeon, Hee-Seop
    • Journal of the Korean Wood Science and Technology
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    • v.30 no.2
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    • pp.115-120
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    • 2002
  • Woodceramics are new porous carbon materials obtained by burning wood or woody materials impregnated with thermosetting resin in a vacuum furnace. In this paper, the change of dimensions and bending strength of woodceramics which were made from medium density fiberboard have been investigated to examination the possibility of utilization as a woodceramics materials. 1) An increasing rate of dimension in impregnated board increased with increasing resin impregnation rate. And increasing rate of thickness was higher than that of length. 2) When the resin impregnation rate increased, the bending strength of impregnated board had a tendency to increase. 3) The rates of weight loss, length and thickness reduction of woodceramics showed a slight increase with increased burning temperature. 4) The density of woodceramics showed a increase from at 500℃ till at 800℃ with increasing burning temperature but decrease at 1,000℃ 5) When the burning temperature increased, the bending strength of woodceramics had a tendency to increase.

Integral Design and Structural Analysis for Safety Assessment of Domestic Specialized Agrivoltaic Smart Farm System (한국형 영농형 태양광 스마트팜 시스템의 종합설계 및 구조해석을 통한 안전성 검토)

  • Lee, Sang-ik;Kim, Dong-su;Kim, Taejin;Jeong, Young-joon;Lee, Jong-hyuk;Son, Younghwan;Choi, Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.64 no.4
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    • pp.21-30
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    • 2022
  • Renewable energy systems aim to achieve carbon neutrality and replace fossil fuels. Photovoltaic technologies are the most widely used renewable energy. However, they require a large operating area, thereby decreasing available farmland. Accordingly, agrivoltaic systems (AVSs)-innovative smart farm technologies that utilize solar energy for crop growth and electricity production-are attracting attention. Although several empirical studies on these systems have been conducted, comprehensive research on their design is lacking, and no standard model suitable for South Korea has been developed. Therefore, this study created an integral design of AVS reflecting domestic crop cultivation conditions and conducted a structural analysis for safety assessment. The shading ratio, planting distance, and agricultural machinery work of the system were determined. In addition, national construction standards were applied to evaluate their structural safety using a finite element analysis. Through this, the safety of this system was ensured, and structural considerations were put forward. It is expected that the AVS model will allow for a stable utilization of renewable energy and smart farm technologies in rural areas.

Mid- and Long-term Forecast of Forest Biomass Energy in South Korea, and Analysis of the Alternative Effects of Fossil Fuel (한국의 산림바이오매스에너지 중장기 수요-공급전망과 화석연료 대체효과 분석)

  • Lee, Seung-Rok;Han, Hee;Chang, Yoon-Seong;Jeong, Hanseob;Lee, Soo Min;Han, Gyu-Seong
    • New & Renewable Energy
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    • v.18 no.3
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    • pp.1-9
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    • 2022
  • This study analyzed the anticipated supply-and-demand of forest biomass energy (through wood pellets) until 2050, in South Korea. Comparing the utilization rates of forest resources of five countries (United Kingdom, Germany, Finland, Japan, and S. Korea), it was found that S. Korea does not nearly utilize its forest resources for energy purposes. The total demand for wood pellets in S. Korea (based on a power generation efficiency of 38%) was predicted to be 3,629 and 4,371 thousand tons in 2034 and 2050, respectively. The anticipated total wood pellet power generation ratio to target power consumption is 1.13% (5,745 GWh), 1.17% (6,336 GWh), and 1.25% (7,631 GWh) in 2020, 2030, and 2050, respectively. Low value-added forest residues left unattended in forests are called "Unused Forest Biomass" in S. Korea. From the analysis, the total annual potential amount of raw material, sustainably collectible amount, and available amount of wood pellet in 2050 were estimated to be 6,877, 4,814, and 3,370 thousand tons, respectively. The rate of contribution to Nationally Determined Contributions was up to 0.64%. Through this study, the authors found that forest biomass energy will contribute to a carbon neutral society in the near future at the national level.

A Study on the Effect of Process Variation on the Performance of Hybrid MOSFET-CNTFET based SRAM (공정 편차가 하이브리드 MOSFET-CNTFET 기반 SRAM의 성능에 미치는 영향에 대한 연구)

  • Geunho Cho
    • Journal of IKEEE
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    • v.27 no.3
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    • pp.327-332
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    • 2023
  • CNTFET, which is receiving high attention as a next-generation semiconductor candidate due to its higher performance and various utilization than traditional silicon-based semiconductor devices, is having difficulty in commercialization because its unique process deviation such as CNT placement has not yet matured. To overcome this difficulty, numerous studies have been continuously conducted to take advantages of CNTFET and compensate its weakness by implementing circuits, which are less affected by process deviation due to repetitive circuit placement, into MOSFET-CNTFET based hybrid circuits. This paper compares how much the performance of the hybrid SRAM can be changed by semiconductor process variation existing in the traditional MOSFET SRAM or CNTFET SRAM. Simulation results show that, if the CNT density can be maintained between 7 and 9 per 32nm, hybrid SRAM is about 2.6 times and about 1.1 times more robust to process deviation than conventional MOSFET SRAM in read and write operations, respectively.

Identification and Characterization of Diplodia parva and Diplodia crataegicola Causing Black Rot of Chinese Quince

  • Sungmun Kwon;Jungyeon Kim;Younmi Lee;Kotnala Balaraju;Yongho Jeon
    • The Plant Pathology Journal
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    • v.39 no.3
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    • pp.275-289
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    • 2023
  • Fungal isolates from infected Chinese quince trees were found to cause black rot in Yeongcheon, Gyeongsangbuk Province, Korea. The quince leaves withered and turned reddish-brown and fruits underwent black mummification. To elucidate the cause of these symptoms, the pathogen was isolated from infected leaf and fruit tissues on potato dextrose agar and Levan media. Several fungal colonies forming a fluffy white or dark gray mycelium and two types of fungi forming an aerial white mycelium, growing widely at the edges, were isolated. Microscopic observations, investigation of fungal growth characteristics on various media, and molecular identification using an internal transcribed spacer, β-tubulin, and translation elongation factor 1-α genes were performed. The fungal pathogens were identified as Diplodia parva and Diplodia crataegicola. Pathogenicity tests revealed that the pathogen-inoculated fruits exhibited a layered pattern, turning brown rotting; leaves showed circular brown necrotic lesions. The developed symptoms were similar to those observed in the field. Fungal pathogens were reisolated to fulfill Koch's postulates. Apples were inoculated with fungal pathogens to investigate the host range. Strong pathogenicity was evident in the fruits, with browning and rotting symptoms 3 days after inoculation. To determine pathogen control, a fungicidal sensitivity test was conducted using four registered fungicides. Thiophanate-methyl, propineb, and tebuconazole inhibited the mycelial growth of pathogens. To the best of our knowledge, this is the first report on the isolation and identification of the fungal pathogens D. parva and D. crataegicola from infected fruits and leaves of Chinese quince, causing black rot disease in Korea.

Propagation Characteristics of Ground Vibration Caused by Blast Hole Explosion of High Explosives in Granite (고위력 폭약의 화강암 내 장약공 폭발에 의한 지반진동 전파특성에 관한 연구)

  • Gyeong-Gyu Kim;Chan-Hwi Shin;Han-Lim Kim;Ju-Suk Yang;Sang-Ho Bae;Kyung-Jae Yun;Sang-Ho Cho
    • Explosives and Blasting
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    • v.41 no.4
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    • pp.29-40
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    • 2023
  • Rock blasting is utilized in various fields such as mining, tunneling, and the construction of underground structures. The role of rock blasting technology has became increasingly significant with the growing utilization of underground cavity. Blast hole pressure, generated during rock blasting, is a critical variable directly impacting factors such as crushing and blast vibration. It stands out as one of the most important parameters for assessing explosive performance and predicting blasting effects. While blast hole pressure has been studied by several researches, comparisons are challenging due to variations in experimental conditions such as explosive type, charge, and blasting conditions. In this study, blast hole pressure sensors and observation hole pressure sensors were developed to measure pressure during single-hole blasting, The experimental results were then used to discuss the propagation characteristics of pressure around the blast hole and the corresponding blast vibration.

Semi-quantitative Risk Assessment using Bow-tie Method for the Establishment of Safety Management System of Hydrogen Fuel Storage Facility in a Combined Cycle Power Plant (복합화력발전소 내 수소연료 저장설비의 안전관리 체계 구축을 위한 Bow-tie 기법을 활용한 반정량적 위험성 평가)

  • Hee Kyung Park;Si Woo Jung;Yoo Jeong Choi;Min Chul Lee
    • Journal of the Korean Society of Safety
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    • v.39 no.2
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    • pp.75-86
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    • 2024
  • Hydrogen has been selected as one of the key technologies for reducing CO2 emissions to achieve carbon neutrality by 2050. However, hydrogen safety issues should be fully guaranteed before the commercial and widespread utilization of hydrogen. Here, a bow-tie risk assessment is conducted for the hydrogen fuel supply system in a gas turbine power plant, which can be a mass consumption application of hydrogen. The bow-tie program is utilized for a qualitative risk assessment, allowing the analysis of the causes and consequences according to the stages of accidents. This study proposed an advanced bow-tie method, which includes the barrier criticality matrix and visualized maps of quantitative risk reduction. It is based on evaluating the importance of numerous barriers for the extent of their impact. In addition, it emphasizes the prioritization and concentrated management of high-importance barriers. The radar chart of a bow tie allows the visual comparison of risk levels before/after the application of barriers (safety measures). The risk reduction methods are semi-quantitatively analyzed utilizing the criticality matrix and radar chart, and risk factors from multiple aspects are derived. For establishing a secure hydrogen fuel storage system, the improvements suggested by the bow-tie risk assessment results, such as 'Ergonomic equipment design to prevent human error' and 'Emergency shutdown system,' will enhance the safety level. It attempts to contribute to the development and enhancement of an efficient safety management system by suggesting a method of calculating the importance of barriers based on the bow-tie risk assessment.