• Title/Summary/Keyword: Carbon Emissions

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A Comparative Analysis of the Germany and Korea's Bilateral Cooperation Strategy to Secure Overseas Clean Hydrogen: Focusing on the Geopolitical Perspective (독일과 한국의 해외 청정수소 확보를 위한 양자협력 전략 비교 분석: 지정학적 관점을 중심으로)

  • JUN, EUNJIN;WOO, AMI;PARK, MIRA;JUNG, HYOUNDUK;SHIN, HYUN WOO
    • Journal of Hydrogen and New Energy
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    • v.33 no.5
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    • pp.470-498
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    • 2022
  • Recently, the world has been considering hydrogen energy as the primary energy transition means to achieve carbon neutrality by 2050. In order to achieve the goal of reducing greenhouse gas emissions, Korea is also promoting a clean hydrogen economy. However, it is necessary to introduce various clean hydrogen from overseas so that the projected demand can not meet the domestically produced. For this study, we conducted the policy comparison approach between countries other than the generally considered technical and economic approaches. The finding proposes the direction of bilateral cooperation for a strategy of securing overseas clean hydrogen from a geopolitical perspective. Germany was a target country for the policy comparison since it has a high proportion of manufacturing, like Korea, and is taking the lead in the renewable-based energy transition policy. According to the survey and analysis of the policy establishment status and new projects of the two countries, Germany is promoting bilateral international cooperation in the hydrogen area with about 33 countries based on 7 types of activities. In comparison, Korea is involved in bilateral cooperation with about 12 countries on relatively few activities. Among the types of bilateral cooperation, R&D cooperation with advanced countries for hydrogen technology was a common activity type. Germany preemptively promotes cooperation for demonstration and commercialization, considering geopolitical means and strengthening manpower training and assistance on policy and regulation to preoccupy the market for the future. Therefore, it is necessary to consider establishing a network of an entire life cycle of supply and demand network that links the future market with securing clean hydrogen considering the geopolitical distribution. To this end, Korea also needs to expand bilateral cooperation countries by activity type, and it seems necessary to seek various geopolitical-based bilateral cooperation and support measures for developing countries to diversify the supply sources of hydrogen.

Manufacturing of Fe-Mn-Al-C Based Low Mn Lightweight Steel Via Direct Energy Deposition (Direct energy deposition 공정을 이용한 Fe-Mn-Al-C계 저망간 경량철강 제조)

  • Ko, Kwang Kyu;Son, Han Sol;Jung, Cha Hee;Bae, Hyo Ju;Park, Eun Hye;Kim, Jung Gi;Choi, Hyunjoo;Seol, Jae Bok
    • Journal of Powder Materials
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    • v.29 no.4
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    • pp.320-324
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    • 2022
  • Lightweight steel is a crucial material that is being actively studied because of increased carbon emissions, tightening regulations regarding fuel efficiency, and the emergence of UAM, all of which have been recently labeled as global issues. Hence, new strategies concerning the thickness and size reduction of steel are required. In this study, we manufacture lightweight steel of the Fe-Mn-Al-C system, which has been recently studied using the DED process. By using 2.8 wt.% low-Mn lightweight steel, we attempt to solve the challenge of joining steel parts with a large amount of Mn. Among the various process variables, the laser scan power is set at 600 and 800 W, and the laser scan speed is fixed at 16.67 mm/s before the experiments. Several pores and cracks are observed under both conditions, and negligibly small pores of approximately 0.5 ㎛ are observed.

Data Preprocessing Technique and Service Operation Architecture for Demand Forecasting of Electric Vehicle Charging Station (전기자동차 충전소 수요 예측 데이터 전처리 기법 및 서비스 운영 아키텍처)

  • Joongi Hong;Suntae Kim;Jeongah Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.2
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    • pp.131-138
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    • 2023
  • Globally, the eco-friendly industry is developing due to the climate crisis. Electric vehicles are an eco-friendly industry that is attracting attention as it is expected to reduce carbon emissions by 30~70% or more compared to internal combustion engine vehicles. As electric vehicles become more popular, charging stations have become an important factor for purchasing electric vehicles. Recent research is using artificial intelligence to identify local demand for charging stations and select locations that can maximize economic impact. In this study, in order to contribute to the improvement of the performance of the electric vehicle charging station demand prediction model, nationwide data that can be used in the artificial intelligence model was defined and a pre-processing technique was proposed. In addition, a preprocessor, artificial intelligence model, and service web were implemented for real charging station demand prediction, and the value of data as a location selection factor was verified.

Prediction of Damage Area due to Explosion of LNG-Hydrogen Mixed Gas (도시가스-수소 혼합가스의 누출사고 영향범위 분석)

  • Chan-sik, Yoon;Jin-du, Yang;Gil-soo, Na;Sung-Hyun, Im;Ki-young, Kim;Eun-ki, Choi
    • Explosives and Blasting
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    • v.40 no.4
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    • pp.27-34
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    • 2022
  • The government is promoting various policies to reduce greenhouse gas emissions for carbon neutrality, one of the key tasks is to revitalize the hydrogen economy. As one of these policies the government has formulated a plan to incorporate hydrogen into existing city gas pipes, and aims to commercialize 20% hydrogen mixing by 2026. In preparation for the commercialization of city gas and hydrogen mixture, this study quantitatively predicts the scale of damage and the range of impact in the event of leakage of these two gas mixtures. The quantitative damage prediction method is to calculate the damage conversion distance through the calculation of the TNT equivalent by setting the leakage amount of the gas mixture in the event of an accident under a virtual scenario.

Prediction of the Electric Vehicles Supply and Electricity Demand Using Growth Models (성장모형을 활용한 전기자동차 보급과 전력수요 예측)

  • Hyo Seung Han;Ilsoo Yun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.4
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    • pp.132-144
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    • 2023
  • European and American countries are actively promoting eco-friendly cars to reduce exhaust emissions from internal combustion engines. In Korea, the "4th Basic Plan for Eco-Friendly Vehicles" aims to promote eco-friendly cars by improving charging infrastructure, expanding incentive systems, and targeting the supply of 1.13 million eco-friendly cars by 2025. As rapid growth in the number of electric vehicles sold is expected, estimates are required of this growth and corresponding power demands. In this study, the authors used a growth model to predict future growth in the electric vehicle market and a previously derived electricity generation model to estimate corresponding power demands up to 2036, the target year of the "10th Basic Plan for Power Supply and Demand". The results obtained provide useful basic research data for future electric vehicle infrastructure planning.

2050 Carbon-neutrality scenario to reduce greenhouse gas emissions in domestic building sector (2050년 국내 건물 부문의 온실가스 감축을 위한 탄소중립 시나리오 연구)

  • Jiwoo Choi;Hakgeun Jeong;Hyungjun Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.396-396
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    • 2023
  • 기후 위기에 대한 대응으로 현재 많은 국가에서 2050년 탄소중립을 목표로 하고 있으며, 우리나라도 2050년까지 탄소중립을 선언하고 다양한 부문의 배출 절감 계획을 내세웠다. 현재 건물 부문에서는 2050년의 목표배출량을 6.2 백만톤 CO2eq으로 설정하고 관련 정책적 수단을 검토 중이지만 달성 방안 등에 대해서는 구체적으로 제시하지 못하고 있다. 본 연구에서는 국내 건물 부문의 이산화탄소의 배출량 산정 모델을 개발하여, 2050년까지 이산화탄소 배출 저감 시나리오를 시뮬레이션하였다. 이를 토대로 국내의 건물 부문 탄소중립 가능성을 검토한 통합 시나리오를 제시하고, 향후 정책 및 기술 개발의 방향성을 제시한다. 탄소배출량 산정모델은 연면적 예측 및 사용 에너지의 원단위 환산, 탄소배출계수 등을 고려해 개발하였고, 이를 활용하여 4가지 탄소배출 시나리오를 분석하였다. 먼저 현재 정책 기반 탄소 배출 시나리오는 탄소중립에 이르지 못하여 더 강화된 시나리오의 필요성을 보여준다. 신규 건물을 대상으로 한 제로 에너지화 제도 기반 시나리오는 전체 탄소배출량에 큰 기여를 하지 못하며, 기존 건물 대상의 그린 리모델링 제도 기반 시나리오에서는 10년 이상 건물에 50% 이상의 높은 에너지 효율 개선을 시행해야 한다는 결과를 도출하였다. 또한 전기화 시나리오에서는 화석연료와 전력의 탄소배출계수를 비교하여 적절한 에너지 전환 시점을 계산하였다. 그 결과, 건물 부문에서 2050년까지 탄소배출량 감축 목표 달성을 위해 신축 건물의 에너지 자립율 100%, 에너지 전환 계획과 연동한 건물의 전기화, 그리고 그린리모델링을 통한 효율 개선 기준을 47% 이상 달성하는 조건을 만족해야 한다는 결과를 얻었다. 이 연구는 도전적인 온실가스 감축 마련의 필요성을 제시하였으며, 탄소중립 가능성을 제시하여 실질적인 감축정책에 기여할 것으로 기대한다.

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A Study for Enhancing Efficiency of STAR and IAP for the Prospect of Aircraft Descent Performance and FMS Descent Guidance Information (항공기 강하 성능과 FMS 강하 정보에 기반한 표준계기도착절차와 계기접근절차의 운항 효율성 향상에 관한 연구)

  • Choongsub Lee;Hyeonjin Lee;Hojong Baik;Janghoon Park
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.1
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    • pp.79-91
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    • 2023
  • In response to the recent surge in aviation demand, major airports and aviation authorities continue to make efforts to formulate arrival and approach procedures that take into account efficient aircraft separation, noise and environmental issues of carbon (CO2) emissions. In order to ensure efficient traffic control and environmental issues, as a result, a new concept Trombone, Point Merge, etc. have been introduced and widely used in the domestic airspace. However, these new concept procedures which do not properly reflect the characteristics of the aircraft operation performance and the FMS vertical descent guidance hinder flight efficiency as well as bring in turn negative factors such as level-off flight and the use of drag device at the busiest phase of the flight descent operation, like the Continuous Descent Operation (CDO). Accordingly, throughout modification the current Standard Terminal Arrival Route (STAR) and Instrument Approach Procedure(IAP) that reflect the aircraft descent performance and the FMS guidance, the flight operation safety and efficiency is expected to be improved eventually. We herewith analyze and propose the way of improving flight efficiency in the arrival operation procedure by supplementary modification which consequently contribute to the aviation industry international competitiveness.

A Study on Distributed Collective Energy Policy Changes: Focusing on the National Heat Map Project Based on Energy Data (분산형 집단에너지 정책변동 연구: 에너지 데이터 기반의 국가 열지도 사업을 중심으로)

  • Park Eunsook;Park Yongsung
    • Knowledge Management Research
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    • v.24 no.1
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    • pp.195-221
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    • 2023
  • As the global energy and climate crisis has complicated interests of each country, the agenda that requires a global response has recently been revived. In particular, Korea is highly dependent on energy imports and continues to have high energy consumption, low efficiency of energy consumption, and high greenhouse gas emissions, so innovative and effective energy policies are urgently needed to achieve energy efficiency and carbon neutrality. In this study, among the changes in distributed district energy policy after the integrated energy method was introduced in Korea in the mid-1980's, the case of the "National Heat Map Project" policy implementation is analyzed with a modified multi-flow model. The 10 years of the Lee Myung-bak and Park Geun-hye administrations, the period of study, was a period in which the main paradigm of energy policy shifted to a "distributed energy platform" and policy transitions such as policy agenda setting, policy drift, and policy revision were made. A study on the process would be meaningful.

Can Artificial Intelligence Boost Developing Electrocatalysts for Efficient Water Splitting to Produce Green Hydrogen?

  • Jaehyun Kim;Ho Won Jang
    • Korean Journal of Materials Research
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    • v.33 no.5
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    • pp.175-188
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    • 2023
  • Water electrolysis holds great potential as a method for producing renewable hydrogen fuel at large-scale, and to replace the fossil fuels responsible for greenhouse gases emissions and global climate change. To reduce the cost of hydrogen and make it competitive against fossil fuels, the efficiency of green hydrogen production should be maximized. This requires superior electrocatalysts to reduce the reaction energy barriers. The development of catalytic materials has mostly relied on empirical, trial-and-error methods because of the complicated, multidimensional, and dynamic nature of catalysis, requiring significant time and effort to find optimized multicomponent catalysts under a variety of reaction conditions. The ultimate goal for all researchers in the materials science and engineering field is the rational and efficient design of materials with desired performance. Discovering and understanding new catalysts with desired properties is at the heart of materials science research. This process can benefit from machine learning (ML), given the complex nature of catalytic reactions and vast range of candidate materials. This review summarizes recent achievements in catalysts discovery for the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). The basic concepts of ML algorithms and practical guides for materials scientists are also demonstrated. The challenges and strategies of applying ML are discussed, which should be collaboratively addressed by materials scientists and ML communities. The ultimate integration of ML in catalyst development is expected to accelerate the design, discovery, optimization, and interpretation of superior electrocatalysts, to realize a carbon-free ecosystem based on green hydrogen.

Health Impacts of Climate Change and Natural Disaster (기후변화와 자연재난의 건강영향)

  • Kim, Daeseon;Lee, Chulwoo;Vatukela, Jese
    • Journal of Appropriate Technology
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    • v.5 no.2
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    • pp.118-125
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    • 2019
  • Climate change is one part of 17 Sustainable Development Goals (SDGs). According to the Fifth Assessment Report by the Inter- governmental Panel on Climate Change(IPCC) published in 2014, global warming is caused by greenhouse gas (GHG) emissions. The most important GHG is carbon dioxide (CO2), which is released by the burning of fossil fuels and, to a lesser extent, by land use practices, followed by nitrous oxide and methane. IPCC predicts that global temperatures will rise 3.7℃ and sea level will rise 0.63 m by 2099 in the case of no strong restraint. According to the report, we can expect a massive species extinctions, changes in storm and drought cycles, altered ocean circulation, and redistribution of vegetation by global warming. However, climate changes, especially global warming, are the largest potential threat to human health and the source of a number of diseases globally. If climate changes are continued uncontrolled, human health will be adversely affected by the accelerating climate change and the natural disaster induced by climate change. It means we will face more serious conditions of injury, disease, and death related to natural disasters such as flood, drought, heat waves, malnutrition, more allergy, air pollution and climate change related infections related to morbidity and mortality. This review emphasizes on the relationship between global climate changes and human health and provides some suggestions for improvement.