A Review on Available Landfill Gas Models

Kamalan, Hamidreza; Sabour, Mohammad Reza; Shariatmadari, Nader

doi:10.3923/jest.2011.79.92

Cited by 92 publications

(50 citation statements)

References 4 publications

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“…Most of the models are based on Monod first-order decay equation and are called as first-order decay models -such as LandGEM, SWANA, TNO, GasSim. First-order models have a linear relationship with maximum potential of methane production per unit weight of waste and an exponential relationship with decay rate and time [3] …”

Section: Introductionmentioning

confidence: 99%

Assessment of Landfill Gas (Lfg) Energy Potential Based on Estimates of LFG Models

Sarptaş¹

2016

deufmd

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Methane emission from landfilling of waste is one of the most prevalent gas contributing to the greenhouse effect. Current waste management strategies, aim to reduce methane emissions from landfills, promote energy recovery from landfill gas (LFG) that is recognized as a renewable energy resource, due to its higher calorific value. First and the most crucial stage in the planning and design of LFG collection and energy recovery systems is to quantify LFG generation. It's because, the quantity of LFG and its methane content determine both the applicable method for the control and use of LFG and the feasibility of energy recovery. LFG models are developed for the projection of LFG generation over time from a mass of landfilled waste. During planning and projection phase of a landfill, the amount of gas that will be generated and recovered at the site can be estimated -based on projected amounts of waste -by only using these models. Due to complex nature of LFG formation, several models have been developed to model and estimate LFG generation with different approaches for regions in different climates. In a LFG energy recovery project, selection of the appropriate modeling approach and its model parameters for the estimation of LFG generation is the most crucial step. With considering this requirement, this study aims to estimate the amount of LFG and its technical energy potential from the case study landfill site (i.e. Harmandalı Landfill Site in İzmir Metropolitan City). According to the computations carried out by Multi-phase model, it was determined that the remaining amount of LFG at the site was nearly 50% of total energy potential. Besides, maximum energy potential from LFG generated at the site was estimated as 9.6 MW. This study indicates that LFG models can be utilized as effective tools in energy recovery projects. Keywords

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Section: Introductionmentioning

confidence: 99%

Assessment of Landfill Gas (Lfg) Energy Potential Based on Estimates of LFG Models

Sarptaş¹

2016

deufmd

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“…The amount of biogas generated and its composition was estimated using the model LandGEM of the US EPA [30,31], which is widely applied for biogas produced in landfills. With this model, the estimation of biogas generated is improved by calculating the efficiency of the collection system in capturing the gas, which is known as the collection efficiency.…”

Section: Methodsmentioning

confidence: 99%

Simulation of a biogas cleaning process using different amines

Sepúlveda¹,

Jaimes²,

Pacheco³

et al. 2018

Rev. Fac. Ing.

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The use of biogas generated in landfills has gained importance in developing countries like Colombia. Taking into account that this biogas presents poor combustion properties that make interchangeability with other combustible gases difficult, the elimination of gases and vapors, such as CO2 and H2O, through a cleaning process, in which the biogas is converted to biomethane, improves the biogas properties as a fuel gas for general use. In this work, we simulated the generation of biogas at El Carrasco sanitary landfill in Bucaramanga, using the US EPA (United States Environmental Protection Agency) landfill gas emissions model. Additionally, we simulated the biogas cleaning process to extract the remaining moisture using the ProMax software; for this, we used three different amines (MDEA, MEA, and DEA), followed by a glycol dehydration process. The results showed that the amine MEA produced the largest increase in the concentration of CH4 (90.37 %) for the biogas generated in the landfill. Furthermore, dehydration with glycol was an efficient process to obtain a gas with a high percentage of methane (91.47 %) and low water presence (1.27 %); this would allow the use of biomethane in conventional industrial combustion processes and power generation.

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“…en la ER en SDF. Algunos de estos modelos son: (Fenn et al 1975 Kamalan et al 2011), donde se dan a conocer varios modelos con diferentes órdenes de cinética, desde los más simples de orden cero, de primero y segundo orden, así como algunos modelos más complejos. Para nuestro país existe el Modelo Mexicano del Biogás (SCS-ENGINEERS y USEPA 2009), que ha sido utilizado por Cárdenas-Moreno (2014), para la estimación la generación de biogás en varios SDF del Estado de México (EM) y por García-Darás et al (2013), quienes realizaron un análisis comparativo entre los modelos de generación de biogás aplicados a las emisiones de un relleno sanitario en Zapopan, Jalisco.…”

Section: Herramientasunclassified

Herramientas Para La Evaluación De Riesgos Sobre El Ambiente Y Salud, Por La Disposición Final De Residuos Sólidos Urbanos

Cárdenas-Moreno

Robles-Martínez

Mendoza

et al. 2016

Rev. Int. Contam. Ambie.

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Palabras clave: contaminantes, biogás, lixiviados, exposición laboral, relleno sanitario, tiradero a cielo abierto RESUMEN En el campo de la protección ambiental y de la salud pública y ocupacional, es necesario controlar, en la medida de lo posible, las fuentes de emisión de contaminantes ambientales y su impacto. Para tal fin, es indispensable realizar investigaciones multidisciplinarias que apoyen el desarrollo de políticas públicas basadas en evidencia, encaminadas al beneficio social y cuyo costo económico asociado pueda ser medido. La evaluación de riesgos (ER) es una herramienta que, aplicada al sector del manejo de residuos sólidos urbanos (RSU) y la operación de sitios de disposición final (SDF), puede ayudar a estimar cuantitativamente y a jerarquizar los riesgos ocasionados por esos sitios. La información que una ER proporciona, servirá para apoyar la elaboración de medidas normativas de prevención de riesgos, así como en la toma de decisiones de control ambiental, a través del suministro de la mejor información científica disponible a las agencias normativas y entidades de gobierno. Los estudios de ER por la operación de un SDF de RSU con fines de investigación epidemiológica deben incluir a la población ocupacionalmente expuesta como la primera en estar en contacto con los contaminantes, para la identificación de rutas de exposición completas, la estimación y la medición de la exposición real a contaminantes, o bien, la elaboración de modelos de la exposición sobre la base de los datos existentes, avaladas por un equipo multidisciplinario de expertos en dichos sectores. Este trabajo expone las condiciones para la realización de cualquier estudio de ER al ambiente y a la salud humana por SDF de RSU, así como algunos instrumentos computacionales existentes que podrían ayudar a completar el procedimiento.Key words: pollutants, biogas, leachate, occupational exposure, landfill, dump sites ABSTRACTIn the field of environmental protection and public health, it is necessary to control, to the extent possible, emission sources of environmental pollutants and their impact. To this purpose it is essential to carry out multidisciplinary research to support the development of public policies evidence-based, aimed at social benefit and whose associated economic cost can be measured. Risk assessment (RA) is a tool that, applied to the handling of

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A Review on Available Landfill Gas Models

Cited by 92 publications

References 4 publications

Assessment of Landfill Gas (Lfg) Energy Potential Based on Estimates of LFG Models

Assessment of Landfill Gas (Lfg) Energy Potential Based on Estimates of LFG Models

Simulation of a biogas cleaning process using different amines

Herramientas Para La Evaluación De Riesgos Sobre El Ambiente Y Salud, Por La Disposición Final De Residuos Sólidos Urbanos

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