• Title/Summary/Keyword: Landfill Gas

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Effects of Gas Generation due to Biodegradation on Long-term Landfill Settlement (매립장의 생분해로 인한 가스발생이 장기 침하에 미치는 영향)

  • Ahn, Tae-Bong;Chin, Han-Gyu;Han, Woon-Woo
    • Journal of the Korean GEO-environmental Society
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    • v.6 no.1
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    • pp.5-13
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    • 2005
  • The conventional settlement prediction method is not appropriate to model landfill settlement because it is very complex phenomenon. Biodegradation needs to be considered for long-term settlement since landfills are comprised of various organic materials and soils. As organic materials are decomposed, they directly influences on settlement producing LFG(Landfill Gas). Therefore, mathematical settlement prediction model is proposed based on the generated gas volume. As one of stabilization methods, leachate recycling system is adopted to model tests. Two model tests; one is leachate recycled, the other is non-recycled, are componented with proposed model and analysed regarding gas generation and settlement. The proposed mathematical model requires correction coefficients of 1.4 and 1.7 for non-recycled model and recycled, respectively. The recycled model showed 22% increase of long-term settlement more than the non-recycled model.

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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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Review of the Estimation Method of Methane Emission from Waste Landfill for Korean Greenhouse Gas and Energy Target Management System (온실가스·에너지 목표관리제를 위한 폐기물 매립시설 메탄배출량의 적정 산정방법에 관한 고찰)

  • Seo, Dong-Cheon;Nah, Je-Hyun;Bae, Sung-Jin;Lee, Dong-Hoon
    • Journal of Korean Society of Environmental Engineers
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    • v.35 no.12
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    • pp.867-876
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    • 2013
  • To promote the carbon emission trading scheme and reduce greenhouse gas (GHG) emission as following 'Korean GHG & Energy Target Management System', GHG emissions should be accurately determined in each industrial sector. For the estimation method of GHG emission from waste landfill, there are several error parameters, therefore we reviewed the estimation method and proposed a revised method. Methane generation from landfill must be calculated by the selected method based on methane recovery rate, 0.75. However, this methodology is not considered about uncertainty factor. So it is desirable that $CH_4$ generation is estimated using first order decay model and methane recovery should use field monitoring data. If not, $CH_4$ recovery could be applied from other study results; 0.60 of operational landfill with gas vent and flaring system, 0.65 of operational site with landfill gas recovery system, 0.90 of closed landfill with final cover. Other parameters such as degradable organic carbon (DOC) and fraction of DOC decompose ($DOC_f$) need to derive the default value from studies to reflect a Korean waste status. Proper application of MCF that is selected by operation and management of landfill requires more precise criteria.

A Study on the Environmental Characteristic Analysis at Closed Small Sale Landfill Site (소규모 사용종료매립지의 환경특성분석)

  • Jang, Seong-Ho;Cho, Han-Jin;Lee, Chun-Sik
    • Journal of Environmental Science International
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    • v.19 no.7
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    • pp.901-905
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    • 2010
  • Emissions of leachate, odor, and landfill gas(LFG) from an open-dumping landfill site do harm to public health by contaminating neighboring soil, underground water, and rivers. Particularly, methane($CH_4$) and carbon dioxide($CO_2$), the main components of LFG, are especially noted as the causing material of the global warming that become seriously recognized worldwide issue. As one of alternatives in managing LFG, incineration of inflammable wastes that are generated during excavation process at an open-dumping landfill has been evaluated. Standard on stabilization for evaluation, neither $CH_4$ density nor $CO_2$ density could not Because meet 'less than 5%' criterion and so it is right to install a gas collection system during landfill renewal to prevent diffusion of odor and collect it. Because it shows considerable heating value, incineration of inflammable wastes might be the reasonable solution from the result of our study.

생활폐기물 매립장내 토양가스 분포와 지하수수질 특성

  • 고경석;조춘희;김통권;김탁현
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2004.09a
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    • pp.377-380
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    • 2004
  • To identify the effect of landfill waste for groundwater and unsaturated air environment, soil gas survey and hydrogeochemical study were executed. The geology of the study area is granite and aquifer is mainly composed of sandy soil. The results of spatial distribution from soil gas showed the boundary of buried waste and processes and degree of waste decomposition. Groundwater contamination by leachate from landfill is controlled by groundwater flow attributed by the original topography and liner.

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Forecasting Methane Gas Concentration of LFG Power Plant Using Deep Learning (딥러닝 기법을 활용한 매립가스 발전소 포집공의 메탄가스 농도 예측)

  • Won, Seung-hyun;Seo, Dae-ho;Park, Dae-won
    • Journal of the Korean Society of Mineral and Energy Resources Engineers
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    • v.55 no.6
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    • pp.649-659
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    • 2018
  • In this study, after operational data for a landfill gas power plant were collected, the methane gas concentration was predicted using a deep learning method. Concentrations of methane gas, carbon dioxide, hydrogen sulfide, oxygen concentration, as well as data related to the valve opening degree, air temperature and humidity were collected from 23 pipeline bases for 88 matches from January to November 2017. After the deep learning model learned the collected data, methane gas concentration was estimated by applying other data. Our study yielded extremely accurate estimation results for all of the 23 pipeline bases.

Operating Performance Evaluation of Landfill Facility and Landfill Gas (LFG) Energy Facility (매립시설 및 매립가스 에너지화시설 운영현황 분석)

  • Kim, Jong-Hwan;Phae, Chae-Gun;Park, Joon-Seok
    • Clean Technology
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    • v.24 no.3
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    • pp.221-232
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    • 2018
  • This research was conducted to evaluate the operational performance of landfill facility and landfill gas energy facility from the questionnaire survey. In order to evaluate overall operational performance, three types of weighting methods were applied to each technical, economical, and environmental item. There was no significant difference between an equal weighted method, a weighted method of 40% for technology, 30% for economy, and 30% for environment, and a weighted method of 30% for technology, 40% for economy, and 30% for environment. In technical performance, large and middle scales of landfill facilities showed higher scores of 14.8 ~ 19.7 and 14.3 ~ 19.0 than 9.8 ~ 13.0 of small scale one. In environmental performance, large, middle, and small scales of landfill facilities showed 21.3 ~ 23.7, 17.6 ~ 19.6, and 20.8 ~ 23.1 scores, respectively. However, in economical performance, there was significant difference between them with scale. Large and middle scales of landfill facilities showed higher scores of 22.0 ~ 29.3 and 20.5 ~ 27.3 than 6.0 ~ 8.0 of small scale one. As a result of evaluation for landfill gas energy facility, large scale facility showed 19.2 ~ 25.6 and 17.8 ~ 23.7 scores in technical performance and 23.1 ~ 25.7 and 21.3 ~ 23.7 scores in environmental performance, respectively. However, in economical performance evaluation, large scale of landfill gas energy facility showed relatively higher of 27.8 ~ 33.3 score than 18.8 ~ 25.1 of small scale one. From these results, it was shown that economy evaluation heavily effect on the operational performance of landfill facility and landfill gas energy facility compared to technology and environment evaluation.

Waste-to-Energy and Landfill Gas Utilization Potential in Indonesia

  • Yurnaidi, Zulfikar
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.11a
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    • pp.313-320
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    • 2009
  • Indonesian Ministry of Environment estimates that each year 170 cities and regencies in Indonesia produce 45,764,354.30 $m^3$ or approximately 11,441,091.08 ton of solid waste. Unfortunately, unsustainable management system has created a severe waste problem, hazardous to health and environment. This paper deals with the problem and offers some solutions. They are 3R (Reduce Reuse and Recycle), waste-to-energy concept and landfill gas (LFG) utilization. While 3R policy has been adopted by the government, the remaining two technologies are still dormant. Thus the paper provides a complete yet compact analysis of technology, economics, and environment aspect of waste-to-energy and LFG. Given the facts of waste production and management in Indonesia, the purpose is to encourage Government of Indonesia and other stake holders (including international community) to explore and exploit this potential. Potential of reducing waste negative externality while receiving extra revenue. Two bird with a stone.

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Development of Stability Index for Defining the End of the Post-closure Monitoring Period for MSW Landfill (폐기물매립지의 사후관리종료 평가를 위한 안정화 지수 산정에 관한 연구)

  • Lee, Nam-Hoon;Han, Jeong-Hyun
    • Journal of the Korea Organic Resources Recycling Association
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    • v.14 no.2
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    • pp.63-70
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    • 2006
  • The purpose of this study was to develop the stability index of landfill sites to assess it's degree of stability. In order to develop the stability index, field data including leachate qualities, Landfill gas (LFG) composition and element composition of wastes from 50 closed landfills were collected. Three parameters-BOD/CODcr among leachate quality parameters, $CH_4$ among landfill gases, and C/N ratio from wastes-were found to be the best parameters for measuring the stability of landfill sites. The trend line of these parameters were used to Also, $CH_4$ from landfill gases and C/N ratio from wastes were found to be the best parameters. The trend lines of these parameters were used to develop the stability index of landfill sites. The equation for the index was as following; $I_{LS}=S_L+S_G+S_W$ $S_L=-\{4.892+16.587{\cdot}ln[BOD/COD_{Cr]\}$ $S_G=53.872-12.782{\cdot}ln[CH_4]$ $S_W=79.382-20.013{\cdot}ln[C/N]$ (The maximum score for $S_L$, $S_G$, and $S_W$ was 33.3.) where, $I_{LS}$ : The stability index of the landfill $S_L$ : The stability score of the leachate $S_G$ : The stability score of the landfill gas $S_W$ : The stability score of the waste.

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