• Title/Summary/Keyword: 생활폐기물

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A Comparative Analysis on Physico-Chemical Characteristics of MSW (Municipal Solid Waste) from Dwelling Site and Landfill Site - A Case Study of the Chungju City - (생활폐기물의 발생원과 최종 매립장에서 물리화학적 특성 비교 분석 - 충주시를 중심으로 -)

  • Cho, Byungyeol;Yeon, Ikjun;Lee, Byungchan
    • Journal of the Korean GEO-environmental Society
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    • v.10 no.3
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    • pp.47-52
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    • 2009
  • The comparative analysis on physico-chemical characteristics of municipal solid waste from dwelling site and landfill site were performed to provide the fundamental information of waste management in Chungju city. It was analysed and evaluated the bulk density, physical component, three major component, chemical component, and heating value of MSW. The physical components depended on the sampling site in dwelling site and landfill site. But, by the ultimate analysis, the chemical composition was almost similar to result for municipal solid waste from dwelling site and landfill site. Therefore, it is necessary to investigate the physical components according to sampling site for the MBT to introduce for combustible municipal solid waste pre-treatment, but it needs the chemical composition from landfill site to design the incinerator. The physical composition showed that the combustible and the noncombustible occupied 87.4% and 12.6% respectively. In case of three component analysis, the moisture, the combustible, and the ash were 27.6, 60.5, 11.9% respectively. The chemical composition through the element analysis were C (50.1%), H (6%), O (39.5%), N (1.9%), S (0.5%), and Cl (1.3%).

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RDF(Refuse Derived Fuel) Generation using MSW(Municipal Solid Waste) (생활폐기물을 이용한 RDF(Refuse Derived Fuel) 발전)

  • Jang, Jik-Sun;Jo, Jae-Beom
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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    • pp.448-451
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    • 2008
  • For resource Recycle society, the Ministry of Environment is recently propeling the introduction of MSW(Municipal Solid Waste) pretreatment facilities(MBT) from advanced country such as Germany. On the basis of this, The Ministry of Environment plans to expand all over the country after the adaption of wide area style(Sudokwon landfill : 200 ton/day), urban communities style(Bucheon City : 90 ton/day), Semi-urban(Gangreung City : 150 tons/a day), farm village style (Buan : 30 ton/day).

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Emission Characteristic and Analysis of TMA from Municipal Solid Waste Landfill Sites (생활폐기물 매립장에서 발생되는 트리메틸아민의 분석 및 배출 특성)

  • 전의찬;이성호;사재환;박종호
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2003.11a
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    • pp.349-350
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    • 2003
  • 악취의 배출원은 제지공장, 정유공장, 화학공장 등과 같이 다양한 산업시설과 축사, 음식물 처리시설, 하ㆍ폐수처리장, 분뇨처리장, 생활폐기물 매립장 등의 생활악취시설로 구분할 수 있다. 산업시설의 경우, 악취배출시설에 대한 감시와 관리가 강화되었으나, 생활악취 배출시설의 경우 생활 주변에 광범위하게 자리 잡고 있어 효율적인 악취관리가 이루어지고 있지 않다. 악취 민원이 사회적 문제가 되고 있는 생활폐기물 매립장의 경우 차폐시설을 설치할 수 없어, 지형적인 영향과 기상조건 및 시간에 따라 변화하는 악취의 발생 특성까지 고려해야 하므로 관리가 더욱 어렵다. (중략)

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Change of Municipal Solid Waste Composition and Landfilled Amount by the Landfill Ban of Food Waste (음식물류폐기물 직매립 금지에 따른 도시생활폐기물의 조성 및 매립량 변화)

  • Yoon, Seok Pyo;Lim, Hak Sang
    • Journal of the Korea Organic Resources Recycling Association
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    • v.13 no.3
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    • pp.63-70
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    • 2005
  • As the landfill ban of food waste has enforced since 2005, the composition of municipal solid waste(MSW) has changed dramatically. In this 2 year study, MSW in a small city has collected 3 times at 10 different generating points, and physico-chemical analysis has done. From the result, the effect of landfill ban of food waste on the physico-chemical properties of MSW was described. Landfill ban of food waste has reduced by 12 weight % in the composition of food waste in MSW, and has reduced by 25 % of bulk density. After landfill ban of food waste, water content of MSW has reduced to 32.3%, which is reduced by 14.1 % of water content of year 2004 data. Low heating value of MSW after landfill ban was 2991.4kcal/kg, which has increased 32% than that of year 2004 data. From landfill gas generation modeling, it is estimated that the yearly generation rate of landfill gas will be reduced by 5% than in case of accepting food waste into the landfill.

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A Study on the Problems of Incinerating Facility and Plans to Improve in Regard to Separate Discharge of Food Waste (음식물류폐기물 분리배출에 따른 소각시설의 문제점과 개선방안에 관한 연구)

  • Kim, Seong-Jung;Kim, Dong-Hyuk
    • Journal of the Korea Organic Resources Recycling Association
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    • v.16 no.4
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    • pp.74-81
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    • 2008
  • Due to separate discharge of food waste, large incinerating facilities for municipal waste show the phase change that combustible contents have been increasing while the concentrations of water have been decreasing when wastes are brought in. This phase change of wastes leads to the increase of exothermic value when wastes are carried in, which causes the problems to make the durability of incinerating facilities weak and lower the capacities of them. In accordance with these problems, this study was carried out to present effective plans to operate incinerating facilities as the quantities of municipal wastes of Incheon have been gradually increasing. We examined the problems caused by the phase change of municipal waste in Incheon and managing plans to control the amounts of heat output when intermixed incineration of food waste is conducted. It is concluded that we could carry out the optimized operation of incinerating facilities as well as produce economic effect to reduce processing costs when we conduct the intermixed incineration of food waste and municipal waste, in the trend that the amounts of heat output generated by wastes are gradually increasing. This is because this operation of intermixing incineration contributes to reducing the amount of exothermic heat.

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A Method of Supervised Learning for Optimized Household Waste Detection based on Vision AI (비전 인공지능 기반 생활폐기물 선별에서 성능최적화를 위한 감독학습 기법)

  • Park, Sang-Hee;Lee, Bbun-Byul;Jung, Joong-Eun
    • Annual Conference of KIPS
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    • 2021.11a
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    • pp.637-639
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    • 2021
  • 인공지능 기반의 생활폐기물의 인식 및 선별에서, 선별 정확도의 저하는 인식 대상의 형태적 다양성과 학습데이터 부족 및 불균등성에 기인한다. 본 연구에서는 비전 인공지능 기반의 효과적인 폐기물 선별을 위한 인식 시스템 및 감독학습 기반의 인공지능 학습 기법을 제안한다. 생활폐기물 중 순환자원적 가치가 높은 CAN, PET, 그리고 이와 형상적으로 유사한 폐기물에 대해 본 연구에서 제안된 시스템에서 물체원형 및 훼손된 형태의 총 18 종 이미지 데이터를 대상으로, 감독학습기반의 인공지능 모델 제작에서 최적의 데이터 레이블링을 위한 분류체계를 제시한다.

Resident's Assessment of Automated Vacuum Waste Collection System in New Public Housing Estates (신규 공공주택단지의 생활폐기물 자동집하시설 이용에 관한 거주자 평가 분석)

  • Oh, Jeongik;Lee, Hyunjeong
    • Journal of Korean Society of Environmental Engineers
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    • v.38 no.4
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    • pp.155-161
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    • 2016
  • This research is to explore resident's assessment of the Automated Vacuum Waste Collection System (AVWCS), which is devised to attain sustainability of residential environment. A number of AVWCS has been installed in Gyeonggi Province, so 283 households in 11 new public housing estates of 5 cities participated in a self-administered questionnaire survey. The data collected from 133 respondents in for-sale housing estates and 150 participants in rental housing estates, and the primary findings were as follows: a vast majority of both owners and renters had neither been aware of nor used the system before moving to their current housing estate. Also, most of the respondents learned how to use the AVWCS from on-site housing management staff, and the learning among renters was greatly delayed. Renters were in stronger favor of the system than owners, and their satisfaction was greater than the counterpart. Although few items were unsatisfactory, many emphasized that AVWCS should be augmented with user-centered, environmentally friendly features, and also they viewed that the system would substantially contribute to sustainable urban environment.

An Efficient Methodology for Daily Waste Treatment Using Reverse Logistics Network: Focused on D Metropolitan City (역물류네트워크를 이용한 생활폐기물 처리 효율화 방안 - D광역시를 중심으로)

  • Yun, YoungSu;Chen, Xing
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.2
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    • pp.97-111
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    • 2015
  • In this paper, a methodology for effectively treating daily waste at D metropolitan city is considered using reverse logistics(RL) network. Currently, eight district offices at D metropolitan city are treating their daily wastes using each RL network. However, unfortunately, current method has a weakness such as inefficiency of RL network operation. Therefore, we propose a revised method for improving the inefficiency. In case study, we compare the performances of the current and revised methods using various real-life data. The analysis result shows that the revised method outperforms the current method.