• 제목/요약/키워드: Fossil fuel consumption

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폐아스콘 순환골재 혼입율에 따른 알칼리활성화 채움재 상온 재생 아스팔트 혼합물의 특성 (Properties of Cold Recycled Asphalt Mixtures with Alkali-activated Filler according to Wasted Asphalt Aggregate Content)

  • 이민희;강석표
    • 한국건설순환자원학회논문집
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    • 제6권3호
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    • pp.199-206
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    • 2018
  • 아스팔트의 재활용 기술은 화석연료 감소, 탄소 저감, 포장 성능 개선 등의 장점으로 인해 지난 20년간 선진국의 도로 건설 및 유지관리를 위해 개발되고 적용되고 있다. 상온 재생 아스팔트 혼합물은 상온에서 폐아스콘 순환골재를 물과 유화 아스팔트와 함께 혼합하는 역청재료이다. 본 논문은 폐아스콘 순환골재 혼입율에 따라 알칼리 활성화 채움재를 사용한 상온 재생 아스팔트 혼합물의 특성을 검토하고자 하였다. 그 결과 폐아스콘 순환골재의 혼입율이 증가할수록 상온 재생 아스팔트 혼합물의 마샬 안정도가 감소하고 공극률이 증가하였다. 또한, GR에서 정하고 있는 상온 재생 아스팔트 혼합물의 입도 기준을 모든 골재 혼합 조건에서 만족하였다.

도시패턴과 탄소배출량의 관계 분석 (An Analysis of Relationship between Carbon Emission and Urban Spatial Patterns)

  • 김인현;오규식;정승현
    • Spatial Information Research
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    • 제19권1호
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    • pp.61-72
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    • 2011
  • 전 지구적 기후변화인 지구온난화의 주원인으로 지목되고 있는 온실가스는 공간적으로 주로 도시에서 발생하고 있기 때문에 도시차원에서의 대책이 무엇보다 필요하다. 본 연구는 도시형태와 탄소발생량과의 관계를 분석하여 기후변화에 대응한 탄소배출저감형 도시의 형태를 제시하는 것을 궁극적인 목표로 삼고 있다. 이를 위해, 첫째로 도시형태에 대한 이론고찰을 수행하여 도시공간의 물리적 규모, 이용현황, 활동강도와 관련된 도시형태요소를 선정하였다. 둘째, 서울시를 사례로 전력, 도시가스, 지역난방, 석유, 상수도 사용량 자료를 이용하여 이산화탄소 배출량 지도를 작성하였다. 셋째, 이산화탄소 배출량과 도시형태요소와의 관계를 분석하여 도시공간에서 에너지 사용량에 영향을 주는 도시형태를 밝혀내고, 도시계획 측면에서의 시사점을 도출하였다. 본 연구에서 도시형태 요소와 이산화탄소 배출량간의 관계를 분석한 결과는 실제 에너지 사용량에 기반하여 이산화탄소 배출량을 산정하여 활용하였다는 점에서 기존 연구가 지닌 한계를 극복하고, 사례분석을 통해 구체적이고도 결과를 도출하였다는데 그 의의가 있다.

Quantitative Determination of Organic Yield by Continuous Percolation Processes of Bio-wastes at K Composting Plant

  • Seo, Jeoung-Yoon;Jager, Johannes
    • Environmental Engineering Research
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    • 제19권2호
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    • pp.123-130
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    • 2014
  • Percolation is the important process of extracting the soluble constituents of a fine mesh, porous substance by passage of a liquid through it. In this study, bio-wastes were percolated under various conditions through continuous percolation processes, and the energy potential of percolate was evaluated. The representative bio-wastes from the K composting plant in Darmstadt, Germany were used as the sample for percolation. The central objective of this study was to determine the optimal amount of process water and the optimum duration of percolation through the bio-wastes. For economic reasons, the retention time of the percolation medium should be as long as necessary and as short as possible. For the percolation of the bio-wastes, the optimal percolation time was 2 hr and maximum percolation time was 4 hr. After 2 hr, more than two-thirds of the organic substances from the input material were percolated. In the first percolation process, the highest yields of organic substance were achieved. The best percolation of the bio-wastes was achieved when the process water of 2 L for the first percolation procedure and then the process water of 1.5 L for each further percolation procedure for a total 8 L for all five procedures were used on 1,000 g fresh bio-waste. The gas formation potentials of 0.83 and $0.96Nm^3/ton$ fresh matter (FM) were obtained based on the percolate from 1 hr percolation of 1,000 g bio-waste with the process water of 2 L according to the measurement of the gas formation in 21 days (GB21). This method can potentially contribute to reducing fossil fuel consumption and thus combating climate change.

도시녹지의 대기환경개선 효과 - 서울시 중구를 중심으로 - (Effects of Urban Greenspace on Improving Atmospheric Environment - Focusing on Jung-gu in Seoul -)

  • 조현길;조용현;안태원
    • 한국조경학회지
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    • 제31권3호
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    • pp.83-90
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    • 2003
  • This study explored effects of urban greenspace on improving atmospheric environment, which is concerned with $CO_2$, SO$_2$ and NO$_2$ uptake, and with reduction of summer air temperatures. The site of this study was focused on Jung-gu in Seoul. Tree density and cover were 1.1 trees/100 $m^2$ and 12.5% respectively for the study area except forest lands. Atmospheric purification by greenspace was associated with changes in tree cover per unit area of each land use type. The mean $CO_2$ storage by woody plants was 19.4t/ha, and annual uptake averaged 2.2t/ha/yr for $CO_2$, 1.9kg/ha/yr for SO$_2$ and 5.0kg/ha/yr for NO$_2$. Entire tree plantings in the study area played a significant role by annually offsetting $CO_2$ emissions of about 1,830t from fossil fuel consumption by 330 persons, SO$_2$ emissions of 1,620kg by 1,080 persons, and NO$_2$ emissions of 4,230kg by 450 persons. The summer air temperature was 3.6$^{\circ}C$ cooler at a location with 54% cover of woody plants and 4.5$^{\circ}C$ cooler at a forest site with 100% cover, compared to a place with no planting. A 10% increase of woody plant cover was estimated to decrease summer air temperature by approximately 0.6$^{\circ}C$ until a certain level of canopy cover. Analyzing data from the Automatic Weather Stations in Seoul revealed that increasing tree cover decreased mean air temperature for the summer season (Jun~Aug) in a nonlinear function. Woody plant cover was the best predictive variable of summer temperature reduction. The results from this study are expected to be useful in emphasizing the environmental benefits and importance of urban greenspace enlargement, and in urging the necessity for planting and management budgets.

전력설비에서의 SF6 회수 및 재활용 CDM 방법론 개발 (Development on the Methodology of CDM Projects in the SF6 Recovery and Recycling of Electrical Equipment)

  • 표정관;사재환;전의찬
    • 한국기후변화학회지
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    • 제2권3호
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    • pp.143-159
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    • 2011
  • 전력설비의 $SF_6$ 가스 배출저감을 통한 CDM 방법론 AM0035(Approved Methodology 0035. Ver 1.0)를 적용한 사업은 EB(Executive Board) 41차 회의 결과에 따라 $SF_6$ 가스의 운영 상태 및 과정, 불확도를 포함한 베이스 라인, 프로젝트 배출량 산정에 주요 매개변수의 직접 모니터링을 명확하게 입증해야 한다. 본 연구를 통하여 유지보수 시 회수율, 폐기 교체 전 후 가스 순도, 재처리(reclamation) 전 후 $SF_6$ 가스 손실률, 회수 설비 및 재처리 설비의 전력사용량에 의한 배출량, 운반 시 발생되는 누출량(leakage)의 다양한 모니터링 결과를 보수적으로 고려하였다. 그 결과, 기존 방법론보다 베이스 라인 배출량이 감소하고, 프로젝트 배출량이 증가되어 저감량이 감소하는 것을 확인하였다.

Mixotrophic Cultivation of a Native Cyanobacterium, Pseudanabaena mucicola GO0704, to Produce Phycobiliprotein and Biodiesel

  • Kim, Shin Myung;Bae, Eun Hee;Kim, Jee Young;Kang, Jae-Shin;Choi, Yoon-E
    • Journal of Microbiology and Biotechnology
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    • 제32권10호
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    • pp.1325-1334
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    • 2022
  • Global warming has accelerated in recent decades due to the continuous consumption of petroleum-based fuels. Cyanobacteria-derived biofuels are a promising carbon-neutral alternative to fossil fuels that may help achieve a cleaner environment. Here, we propose an effective strategy based on the large-scale cultivation of a newly isolated cyanobacterial strain to produce phycobiliprotein and biodiesel, thus demonstrating the potential commercial applicability of the isolated microalgal strain. A native cyanobacterium was isolated from Goryeong, Korea, and identified as Pseudanabaena mucicola GO0704 through 16s RNA analysis. The potential exploitation of P. mucicola GO0704 was explored by analyzing several parameters for mixotrophic culture, and optimal growth was achieved through the addition of sodium acetate (1 g/l) to the BG-11 medium. Next, the cultures were scaled up to a stirred-tank bioreactor in mixotrophic conditions to maximize the productivity of biomass and metabolites. The biomass, phycobiliprotein, and fatty acids concentrations in sodium acetate-treated cells were enhanced, and the highest biodiesel productivity (8.1 mg/l/d) was achieved at 96 h. Finally, the properties of the fuel derived from P. mucicola GO0704 were estimated with converted biodiesels according to the composition of fatty acids. Most of the characteristics of the final product, except for the cloud point, were compliant with international biodiesel standards [ASTM 6761 (US) and EN 14214 (Europe)].

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

  • 이승록;한희;장윤성;정한섭;이수민;한규성
    • 신재생에너지
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    • 제18권3호
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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.

Prediction of spatio-temporal AQI data

  • KyeongEun Kim;MiRu Ma;KyeongWon Lee
    • Communications for Statistical Applications and Methods
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    • 제30권2호
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    • pp.119-133
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    • 2023
  • With the rapid growth of the economy and fossil fuel consumption, the concentration of air pollutants has increased significantly and the air pollution problem is no longer limited to small areas. We conduct statistical analysis with the actual data related to air quality that covers the entire of South Korea using R and Python. Some factors such as SO2, CO, O3, NO2, PM10, precipitation, wind speed, wind direction, vapor pressure, local pressure, sea level pressure, temperature, humidity, and others are used as covariates. The main goal of this paper is to predict air quality index (AQI) spatio-temporal data. The observations of spatio-temporal big datasets like AQI data are correlated both spatially and temporally, and computation of the prediction or forecasting with dependence structure is often infeasible. As such, the likelihood function based on the spatio-temporal model may be complicated and some special modelings are useful for statistically reliable predictions. In this paper, we propose several methods for this big spatio-temporal AQI data. First, random effects with spatio-temporal basis functions model, a classical statistical analysis, is proposed. Next, neural networks model, a deep learning method based on artificial neural networks, is applied. Finally, random forest model, a machine learning method that is closer to computational science, will be introduced. Then we compare the forecasting performance of each other in terms of predictive diagnostics. As a result of the analysis, all three methods predicted the normal level of PM2.5 well, but the performance seems to be poor at the extreme value.

Mg2NiHx-CaO 수소 저장 복합물질의 물질 전과정 평가 (Material Life Cycle Assessments on Mg2NiHx-CaO Composites)

  • 황준현;신효원;홍태환
    • 한국수소및신에너지학회논문집
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    • 제33권1호
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    • pp.8-18
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    • 2022
  • With rapid industrialization and population growth, fossil fuel use has increased, which has a significant impact on the environment. Hydrogen does not cause contamination in the energy production process, so it seems to be a solution, but it is essential to find an appropriate storage method due to its low efficiency. In this study, Mg-based alloys capable of ensuring safety and high volume and hydrogen storage density per weight was studied, and Mg2NiHx synthesized with Ni capable of improving hydrogenation kinetics. In addition, in order to improve thermal stability, a hydrogen storage composite material synthesized with CaO was synthesized to analyze the change in hydrogenation reaction. In order to analyze the changes in the metallurgical properties of the materials through the process, XRD, SEM, BET, etc. were conducted, and hydrogenation behavior was confirmed by TGA and hydrogenation kinetics analysis. In addition, in order to evaluate the impact of the process on the environment, the environmental impact was evaluated through "Material Life Cycle Assessments" based on CML 2001 and EI99' methodologies, and compared and analyzed with previous studies. As a result, the synthesis of CaO caused additional power consumption, which had a significant impact on global warming, and further research is required to improve this.

구리 기반 전극을 활용한 전기화학적 이산화탄소 환원 및 C2+ 화합물 생성 기술 (Copper-Based Electrochemical CO2 Reduction and C2+ Products Generation: A Review)

  • 허지원;성채원;;;이무성;하준석
    • 마이크로전자및패키징학회지
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    • 제30권4호
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    • pp.17-31
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    • 2023
  • 세계적으로 화석 연료의 무분별한 사용으로 지구 온난화가 가속화되면서 대기 중 이산화탄소 농도를 줄이기 위한 다양한 노력이 진행되고 있다. 전기화학적 이산화탄소 환원 기술은 이산화탄소를 유용한 탄화수소 화합물로 전환할 수 있는 친환경 기술로 인정받고 있는 유망한 기술로 탄소중립을 달성하기 위해 필수적이라는 의견이 지배적이다. 이산화탄소 환원 전극으로 사용되는 많은 물질 중에서도 구리는 C2+ 화합물을 생성할 수 있는 유일한 금속으로 알려져 있으나 낮은 전환 효율과 선택도로 인해 아직 상용화되기에는 어려움이 있어 이를 해결하기 위해 다양한 연구가 이루어지고 있다. 본 리뷰에서는 구리 기반 전극을 활용한 다양한 이산화탄소 환원 연구들을 소개한다.