• 제목/요약/키워드: inventories

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국가온실가스 인벤토리 구축 기본절차(IPCC 지침)에 대한 조사 연구 (Survey Study on Basic Procedures for Establishment of National Greenhouse Gas Inventory (IPCC Guidelines))

  • 백천현;유종훈;김호균
    • 산업공학
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    • 제22권4호
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    • pp.317-328
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    • 2009
  • For a comprehensive understanding of human impact on a change of the global climate, it is necessary to obtain reliable information on man-induced fluxes of greenhouse gases (GHGs) into the atmosphere. Intergovernmental Panel on Climate Change (IPCC) guidelines (IPCC 1996, IPCC 2000, IPCC2006) provide the methods and procedures of estimating the national GHG emission inventories. Particularly, IPCC 2006 contains new chapter of key conceptions uncertainties, including the types of uncertainties and assessment methods of uncertainties in GHG emission inventories. In this paper, a compact and clear survey on volume 1 of IPCC 2006, which contains the general information on inventory compilation, uncertainty and guidance on the choice of methods, and QC/QA, is given with emphasis on uncertainty analysis.

운행차 배출가스 정밀검사 결과를 이용한 휘발유 승용차 대기오염물질 배출량 중 고농도 배출 차량의 기여도 분석 (Quantified Contribution of High Emitting Vehicles to Emission Inventories for Gasoline Passenger Cars based on Inspection and Maintenance Program Data)

  • 이태우;김지영;이종태;김정수
    • 한국대기환경학회지
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    • 제28권4호
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    • pp.396-410
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    • 2012
  • The purpose of this study is to quantify the contribution of high emitting vehicles to mobile emission inventories. Analyzed emission data include $NO_x$, HC, and CO results, which were measured through the vehicle Inspection and Maintenance (I/M) program in Seoul metropolitan area. The high emitting vehicles were identified as the top 5% worst polluting cars of the fleet. We estimated that 5% of the gasoline passenger car fleet, which is high emitters, generated 25.5% of $NO_x$, 34.5% of HC, and 66.1% of CO emissions of total inventories for gasoline passenger car fleet in year 2010. In the study, we identified that the older vehicles (older than ten years) and high mileage vehicles (more than 120,000 km driven) comprised high emitter fleet with 70.9% and 71.2%, respectively. The emission contribution of high emitters became larger in younger fleet than in the older fleet. This is due to the reduced emission rates in newly manufactured vehicles, which were developed under the more stringent emission regulation limits. This analysis implies that high emitters could be responsible for an even larger fraction of total vehicular emissions as more advanced technology vehicles are being incorporated into the current vehicle fleet. The findings suggested that the high emitting vehicles should be primarily considered for in-use vehicle emission management program, such as I/M, accelerated vehicle retirement, or catalytic converter replacement, in order to enhance the effectiveness of selected program.

서울시 식생부문 온실가스-대기오염 통합 흡수/배출량 인벤토리 및 환경가치분석 (GHG-AP Integrated Sink/Emission Inventories and Environmental Value Analysis in Vegetation Sector of Seoul)

  • 정재형;권오열
    • 한국대기환경학회지
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    • 제31권1호
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    • pp.72-82
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    • 2015
  • We constructed greenhouse gas (GHG) and air pollution (AP) integrated sink/emission inventories and evaluated the environmental value for the vegetation sector in Seoul during year 2010. The data of vegetation, classified into four sectors of cultivated land, forest land, park and street tree, were obtained from Statistics Korea and Seoul City. Based on the previous studies, only $CO_2$ was chosen as GHG sink by vegetation. $NO_2$ and $SO_2$ were chosen as AP sink by vegetation, while isoprene, monoterpene, other VOC (OVOC) and NH3 were chosen as AP emission from vegetation. Estimation methodology and sink/emission factors were gathered from reports and published literatures. Estimated GHG sink by vegetation during year 2010 was 12,987,173 $tonCO_{2eq}$, of which approximately 1/4 was from pure vegetation and the remaining 3/4 from vegetation soil. AP sink and emission were estimated to be 23,309 tonAP and 2,629,797 tonAP, respectively. The analysis by administrative districts in Seoul revealed that among 25 districts, Seocho-gu, Nowon-gu, Eunpyeong-gu, Gwanak-gu and Gangbuk-gu were the major districts in GHG and AP sink/emission inventories for vegetation sector. Environmental value of vegetation as a function of GHG and AP sink, was estimated as 800 billion won, corresponding to 5% of the total cost of the forest land in Korea evaluated as a public function.

재취급을 고려한 최적 혼적결정법 (Optimal Mixed Storage Methods Considering Rehandles of Inventories)

  • 양지현;김갑환;원승환
    • 지능정보연구
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    • 제12권3호
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    • pp.33-46
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    • 2006
  • 물류의 증가로 생산된 제품이 소비자에게 전달되기 전 저장하는 제품 창고의 운영과 유지는 제품원가의 큰 부분을 차지하게 되었다. 취급작업 횟수의 감소, 신속한 출고 작업, 제품의 효율적 관리를 위해 저장설비의 설치, 저장 공간의 추가 확보 등의 시설 투자 방법으로도 이런 문제를 해결 할 수 있지만 기존 저장 공간을 최대한 활용함으로써 취급작업 수를 줄일 수 있다. 저장시설 내에서의 운영방법에는 여러 가지가 있겠지만 저장 공간의 제약이 있기 때문에 제품을 겹쳐 쌓아야 하고 그 경우 반드시 재취급을 고려해야 한다. 재취급 문제는 창고의 취급 효율을 결정짓는 가장 중요한 문제이다. 따라서 창고의 운영 효율을 높이기 위해서는 재취급을 최소화할 수 있는 방법을 고려할 필요가 있다. 본 연구에서는 기대 재취급을 최소화하는 혼적결정 문제를 다루고자 한다. 혼적결정을 위한 최적화 모형을 제시하였고 해를 구하기 위한 유전자 알고리즘을 제시하였다. 이 연구결과는 컨테이너 터미널을 포함하여 재취급이 발생할 수 있는 창고의 운영에 활용될 수 있다.

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바이오에너지 (바이오가스, 바이오매스) 기술의 온실가스 감축산정: 국내를 대상으로 (Estimation of Greenhouse Gas (GHG) Reductions from Bioenergy (Biogas, Biomass): A Case Study of South Korea)

  • 정재형;김기만
    • 한국대기환경학회지
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    • 제33권4호
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    • pp.393-402
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    • 2017
  • In this study, greenhouse gas (GHG) reductions from bioenergy (biogas, biomass) have been estimated in Korea, 2015. This study for construction of reduction inventories as direct and indirect reduction sources was derived from IPCC 2006 guidelines for national greenhouse gas inventories, guidelines for local government greenhouse inventories published in 2016, also purchased electricity and steam indirect emission factors obtained from KPX, GIR respectively. As a result, the annual GHG reductions were estimated as $1,860,000tonCO_{2eq}$ accounting for 76.8% of direct reduction (scope 1) and 23.2% of indirect reduction (scope 2). Estimation of individual greenhouse gases (GHGs) from biogas appeared that $CO_2$, $CH_4$, $N_2O$ were $90,000tonCO_2$ (5.5%), $55,000tonCH_4$ (94.5%), $0.3tonN_2O$ (0.004%), respectively. In addition, biomass was $250,000tonCO_2$ (107%), $-300tonCH_4$ (-3.2%), $-33tonN_2O$ (-3.9%). For understanding the values of estimation method levels, field data (this study) appeared to be approximately 85.47% compared to installed capacity. In details, biogas and biomass resulting from field data showed to be 76%, 74% compared to installed capacity, respectively. In the comparison of this study and CDM project with GHG reduction unit per year installed capacity, this study showed as 42% level versus CDM project. Scenario analysis of GHG reductions potential from bioenergy was analyzed that generation efficiency, availability and cumulative distribution were significantly effective on reducing GHG.

상향식 자료를 이용한 온실가스 인벤토리의 품질 개선 방향 - 화학, 금속 분야를 중심으로 - (Quality Improvement of Greenhouse Gas Inventories by the Use of Bottom-Up Data)

  • 최은화;신은섭;이승묵
    • 한국대기환경학회지
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    • 제30권2호
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    • pp.161-174
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    • 2014
  • The methodology report '2006 IPCC Guidelines for National Greenhouse Gas Inventories' shows higher tier method can be a good practice, which uses country-specific or plant-specific data when calculating greenhouse gas emissions by country. We review the methodology report to present principles of using plant-level data and also examine examples of using plant-level data in chemical and metal industry in 20 countries for the purpose of quality improvement of national greenhouse gas inventories. We propose that Korea consider utilizing plant-level data, as reported according to 'Greenhouse gas and Energy Target Management Scheme', in the following order as a preference. First, the data can be utilized for quality control of Korea's own parameters, when Tier 2 method is adopted and bottom-up approach is not applicable. Second, both plant-level data and IPCC default data can be used together, combining Tier 1 method with Tier 3 method. Third, we can also use acquired plant-level data and country specific parameters, combining Tier 2 method with Tier 3 method. Fourth, if the plant-level data involves all categories of emissions and the data is proven to be representative, we can apply Tier 3 method. In this case, we still need to examine the data to check its reliability by a consistent framework, including appropriate quality control.

산업폐수 관리체계 개선을 위한 수질오염물질 배출목록 구축에 대한 연구: 1차 철강 제조업과 석유정제품 제조업 (A Study on the Water Pollutant Discharge Inventories for the Improvement of Industrial Wastewater Management System: Primary Steel Manufacturing Facility and Petroleum Refining Products Manufacturing Facility)

  • 안태웅;김동민;손대희;김재훈
    • 한국물환경학회지
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    • 제36권5호
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    • pp.453-467
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    • 2020
  • This study aimed to inventory the water pollutant discharge of wastewater from two facilities, one primary steel manufacturing facility and one petroleum refinery, both of which are located in Korea, and to identify ways to improve the wastewater treatment process through field investigation. Probability evaluation was used to inventory the substances in polluted water. The samples collected in this study included original wastewater, on processing wastewater, and treated water. The general description of wastewater occurrence, major sources, and treatment facilities were also investigated to obtain an integrated database of the pollutants created by different industrial categories. Based on our analysis of raw wastewater and final effluent, the detected pollutants were confirmed by analyzing their presence in the raw or supplemental materials, the potential of formation as byproducts, and the possibility of inclusion as impurities. The compounds detected for each category were screened via investigation of their possible sources and confirmed as the final water pollutant inventories. Thirty kinds of water pollutants were emitted by the primary steel manufacturing facility (reference in case A), including 14 specified hazardous water pollutants. The petroleum refinery (reference in case B) emitted 36 water pollutants, including 16 specified hazardous water pollutants.

Annual Greenhouse Gas Removal Estimates of Grassland Soil in Korea

  • Lee, Sang Hack;Park, Hyung Soo;Kim, Young-Jin;Kim, Won Ho;Sung, Jung Jong
    • 한국초지조사료학회지
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    • 제35권3호
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    • pp.251-256
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    • 2015
  • The study was conducted to determine greenhouse gas (GHG) inventories in grasslands. After 'Low Carbon Green Growth' was declared a national vision on 2008, Medium-term greenhouse gas reduction was anticipated for 30% reduction compared to Business As Usual (BAU) by 2020. To achieve the reduction targets and prepare to enforce emissions trading (2015), national GHG inventories were measured based on the 1996 Intergovernmental Panel on Climate Change Guidelines (IPCC GL). The national Inventory Report (NIR) of Korea is published every year. Grassland sector measurement was officially added in 2014. GHG removal of grassland soil was measured from 1990 to 2012. Grassland area data of Korea was used for farmland area data in the "Cadastral Statistical Annual Report (1976~2012)". Annual grassland area corresponding to the soil classification was used "Soil classification and commentary in Korea (2011)". Grassland area was divided into 'Grassland remaining Grassland' and 'Land converted to Grassland'. The accumulated variation coefficient was assumed to be the same without time series changes in grassland remaining grassland. Therefore, GHG removal of soil carbon was calculated as zero (0) in grassland remaining grassland. Since the grassland area increases constantly, the grassland soil sinks constantly . However, the land converted to grassland area continued to decrease and GHG removal of soil carbon was reduced. In 2012 (127.35Gg $CO_2$), this removal decreased by 76% compared to 1990 (535.71 Gg $CO_2$). GHG sinks are only grasslands and woodlands. The GHG removaled in grasslands was very small, accounting for 0.2% of the total. However, the study provides value by identifying grasslands as GHG sinks along with forests.

An Inventory Rationing Method in a M-Store Regional Supply Chain Operating under the Order-up-to Level System

  • Monthatipkul, Chumpol
    • Industrial Engineering and Management Systems
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    • 제8권2호
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    • pp.80-92
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    • 2009
  • This paper addresses the inventory rationing issue embedded in the regional supply chain inventory replenishment problem (RSIRP). The concerned supply chain, which was fed by the national supply chain, consisted of a single warehouse distributing a single product to multiple stores (M-stores) with independent and normally distributed customer demand. It was assumed that the supply chain operated under the order-up-to level inventory replenishment system and had only one truck at the regional warehouse. The truck could make one replenishment trip to one store per period (a round trip per period). Based on current inventories and the vehicle constraint, the warehouse must make two decisions in each period: which store in the region to replenish and what was the replenishment quantity? The objective was to position inventories so as to minimize lost sales in the region. The warehouse inventory was replenished in every fixed-interval from a source outside the region, but the store inventory could be replenished daily. The truck destination (store) in each period was selected based on its maximum expected shortage. The replenishment quantity was then determined based on the predetermined order-up-to level system. In case of insufficient warehouse inventories to fulfill all projected store demands, an inventory rationing rule must be applied. In this paper, a new inventory rationing rule named Expected Cost Minimization (ECM) was proposed based on the practical purpose. The numerical results based on real data from a selective industry show that its performance was better and more robust than the current practice and other sharing rules in the existing literature.

2006 IPCC 가이드라인 축산부문 도입에 따른 온실가스 배출량 계산 개선방안 연구 (Application of 2006 IPCC Guideline to Improve Greenhouse Gas Emission Estimation for Livestock Agriculture)

  • 지은숙;양승학;조성백;황옥화;박규현
    • 한국축산시설환경학회지
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    • 제18권2호
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    • pp.75-84
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    • 2012
  • 현재 우리나라 축산부문의 온실가스 배출량 계산은 1996년에 출판된 '1996년 IPCC 국가 온실가스 인벤토리 지침서 (1996 IPCC지침)'에 따라 계산하고 있으며 그 배출량 데이터는 국가 인벤토리 보고서에 사용하고 있다. 하지만 새로운 지침서, '2006년 IPCC 국가 온실가스 인벤토리 지침서 (2006 IPCC 지침)'가 2006년에 출판되었기 때문에 온실가스 배출량 계산을 위한 새로운 지침서를 적용하기 위한 준비가 필요하다. 본 연구에서는 축산에서 1996 IPCC 지침과 2006 IPCC 지침을 비교하였다. 또한 2000년부터 2008년 사이의 온실가스 배출량을 Tier 1 방법으로 계산하였다. 2006 IPCC 지침으로 계산한 온실가스 배출량은 1996 IPCC 지침을 이용할 때와 비교하여 1.27~1.33배 더 많았다. 이는 배출계수의 차이에 의한 것으로 나타났다. 국가 온실가스 인벤토리의 불확실성을 감소시키기 위해 더 많은 연구가 필요하다.