다양한 리스크 문제가 발생하고 있는 환경 속에서 리스크에 대한 적절한 대응을 하고 안정화를 도모함과 동시에 리스크 문제가 표면화되어 초래하는 영향을 극소화 하기 위한 새로운 패러다임의 경영시스템 도입이 주요 전략과제로 대두되고 있다. 본 연구에서는 소프트웨어 분야에서의 리스크 위험 요소를 줄이고 신뢰성 향상을 목적으로 소프트웨어 분야가 가지고 있는 문제를 효과적으로 관리 할 수 있는 새로운 모델로서 IEC60300 신뢰성경영시스템과 IEC61508 리스크경영시스템의 통합 모델을 제시한다.

The Intergovernmental Panel on Climate Change (IPCC) recommended the first order decay (FOD) model for estimating methane emissions from solid waste landfills. However, selecting appropriate parameter is a major challenge in methane emission modeling. The degradable organic carbon (DOC) and the fraction of degradable organic carbon which decomposes (DOCF) are the two primary parameters in the methane generation potential (L0). The DOC is the amount of organic carbon that can be decomposed by biochemical reactions in microorganisms. Chemical analysis methods are currently available to measure the DOC including using total organic carbon and element analysis methods. However, chemical analysis methods are not appropriate for determination of the DOC, which indicated that the DOC should be measured by biochemical tests. In addition, these methods should consider a fossil carbon content that needs a complex and high cost of analysis. The DOCF is an estimate of the fraction of carbon that is ultimately degraded and released from landfills. However, no methodology is provided for determination of the DOCF in landfills. Therefore, the purpose of this study was to suggest methodologies for the determination of DOC and DOCF in solid waste landfills. A biochemical methane potential (BMP) test could be used to calculate the DOC because the BMP represents an upper limit on the methane potential of a waste, which corresponds to a maximal amount of degraded organic carbon. The calculation was based on the assumption that the DOCF is 100%. In this study, two methodologies were suggested to determine the DOCF in landfills. The first one uses a new equation (DOCF = 2.76W-0.44) with moisture content in the landfill that actual methane flux data are unavailable. Moisture content is a major ecological parameter on the anaerobic biodegradability of the solid waste in the landfill. Another methodology is to use L0,Landfill/L0,BMP ratio. The L0,Landfill could be determined by a regression analysis if methane flux data were available.

The objective of this paper is to assess the applicability of heat recovery at aerobic landfill as a geothermal heat source.This paper presents a case study of installing gas source heat recovery system at an aerobic landfill to collect landfillgas heat. The system consists of three subsystems, i.e., the air injection system including a biofilter, the heat pump systemand the thermal storage tank. A biofilter is necessary to remove the content of harmful compounds in the gas that entersthe heat pump. The field test results showed that temperature for landfill gas was increased slightly from 29 to 38oC inthe phase of aeration because of decomposition of organic carbon. The biofilter effectively treated CH4, H2S and NH3in the gas to prevent the corrosion of the heat pump. The coefficient of performance (COP) of the heat pump was 3.2,which means that 3.2kW of heat energy could be obtained by 1kW of electrical energy used for the heat pump. Thisstudy estimated the energy cost for the different heating systems. As a result, the heat pump can reduce the energy costby 75% compared with kerosene and diesel. Therefore, it is concluded that aerobic landfills are a suitable resource forheat recovery.

Mathematical models have been developed to evaluate methane emission from landfills. The Intergovernmental Panel on Climate Change (IPCC) and the US Environmental Protection Agency (USEPA) have provided first-order decay (FOD) models to estimate methane emission from landfills. The methane generation potential (L0) and the methane generation rate constant (k) are the two primary parameters in the FOD model. A major challenge in landfill gas modeling is estimating these parameters. The IPCC recommended that every country should develop country-specific emission factors appropriate for its circumstances and characteristics. The k value represents the rate constant associated with waste decomposition. In general, there are two different approaches for estimating a k value for a landfill. One uses actual field data in comparison with modeled data. However, this approach is limited by the spatial and temporal characteristics of landfill. Another approach is to collect samples of landfilled waste and then measure their biodegradability of waste as a function of waste age. As biodegradability is a surrogate for landfilling age, lower biodegradability would be expected in order samples. The objective of this study was to determine a k value using an anaerobic test (GB21). To achieve this objective, the GB21 which is used in Germany was conducted to estimate biodegradability of waste samples, and k value was determined based on FOD equation. Waste samples were collected at a landfill located in A City, Korea. The landfill is a valley-type landfill. It received municipal solid waste from 1990 to 2010. Food and paper wastes were the major fractions, constituting about 62.9% of the total amount disposed. However, the Ministry of Environment in Korea banned direct landfilling of food wastes in 2005, since then, food waste has no longer been disposed into landfills. In this study, the landfill site was separated into four areas based on landfilling age, and four samples were collected from each area. Cumulative biogas production for the waste excavated from the landfill varied from 6.9 to 35.8 Nl/kg-Dry Matter. Cumulative biogas production for landfilling age of 1 year was 35.8 Nl/kg-DM and it decreased to 6.9 Nl/kg-DM after 14 years. The k value obtained from this study was 0.156 yr-1 and was higher than the default k prescribed by the IPCC, which is 0.09 yr-1 in boreal and temperate climates. The higher k values obtained in this study can be explained by the high proportion of food waste disposed into the studied landfill. The default k values of rapidly degrading wastes including food waste and sludge are 0.185 yr-1. In addition a higher k value will result in predictions of more methane generation in the early years after waste burial, resulting in higher estimates of uncollected methane in greenhouse gas inventories. This work contributes to understanding decomposition rate of landfilled waste by examining biodegradability determination and providing k value for landfill.

This study was conducted to improve the analytical method of siloxanes in biogas. Methanol and hexane were tested as absorption solvents of the impinger absorption method, and also the hexane extraction for pretreatment of sample was evaluated. Manufactured gas contained siloxanes of 50 ppm was completely absorbed by the methanol impinger absorption. The absorption efficiency of biogas containing only 2 ppm, however, was maximum 84%. As the condensate on the first impinger increased, the absorption rate of methanol was decreased. The hexane extraction method of the sample was considered to proper the method of moisture removal. The hexane extraction result showed the high recovery factor and the low relative standard deviation. It is suggested that the suitable choice of solvent and pretreatment is required, as the analysis result of siloxane sample may be differentiated depending on the type of biogas or the sampling point.

In this study, anaerobic co-digestion experiments for mixtures consisting of sewage sludge with food wastewater and livestock wastewater were conducted to assess the methane yields, the volatile solids (VS) removal rates and the dynamic kinetics. An augmented simplex centroid design (ASCD) was employed to design the mixing rate of organic wastes for the anaerobic co-digestion. Also, synergistic effects on the anaerobic co-digestion were studied using models obtained by the ASCD. As a result, synergistic effects were not observed in terms of methane yield and VS removal rate. It was just showed that there was a linear relationship between the cumulative methane yield and the mixing rate of food wastewater. The results might be attributable that the sewage sludge and the livestock wastewater had very lower C/N ratio compared with food wastewater that had a C/N ratio within a range required for a correctly operating anaerobic co-digestion. Therefore, increasing mixing rates of food wastewater increased the methane yield and VS removal rate, but there was not a synergistic effect by the anaerobic co-digestion.