Estimation of Landfill Gas and Its Renewable Energy Potential from the Polesgo Controlled Landfill Using First-Order Decay (FOD) Models — Oak Academic Publishing
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Estimation of Landfill Gas and Its Renewable Energy Potential from the Polesgo Controlled Landfill Using First-Order Decay (FOD) Models
Centre National de la Recherche Scientifique et Technologique, Institut de Recherche en Sciences Appliquées et Technologies, Laboratoire des Systèmes d’Energies Renouvelable et Environnement-Génie Mécanique et Industriel (CNRST/IRSAT/LASERE-GMI), Ouagadougou, Burkina Faso
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Laboratoire de Physique et de Chimie de L’Environnement, Ecole Doctorale Sciences et Technologies, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso
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Laboratoire de Physique et de Chimie de L’Environnement, Ecole Doctorale Sciences et Technologies, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso
,
Centre National de la Recherche Scientifique et Technologique, Institut de Recherche en Sciences Appliquées et Technologies, Laboratoire des Systèmes d’Energies Renouvelable et Environnement-Génie Mécanique et Industriel (CNRST/IRSAT/LASERE-GMI), Ouagadougou, Burkina Faso
,
Centre National de la Recherche Scientifique et Technologique, Institut de Recherche en Sciences Appliquées et Technologies, Laboratoire des Systèmes d’Energies Renouvelable et Environnement-Génie Mécanique et Industriel (CNRST/IRSAT/LASERE-GMI), Ouagadougou, Burkina Faso
,
Laboratoire de Physique et de Chimie de L’Environnement, Ecole Doctorale Sciences et Technologies, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso
,
Laboratoire de Physique et de Chimie de L’Environnement, Ecole Doctorale Sciences et Technologies, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso
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Centre Universitaire de Banfora, Université Nazi BONI, Bobo-Dioulasso, Burkina Faso
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Centre Universitaire de Ziniaré, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso
1 Centre National de la Recherche Scientifique et Technologique, Institut de Recherche en Sciences Appliquées et Technologies, Laboratoire des Systèmes d’Energies Renouvelable et Environnement-Génie Mécanique et Industriel (CNRST/IRSAT/LASERE-GMI), Ouagadougou, Burkina Faso
2 Laboratoire de Physique et de Chimie de L’Environnement, Ecole Doctorale Sciences et Technologies, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso
3 Laboratoire de Physique et de Chimie de L’Environnement, Ecole Doctorale Sciences et Technologies, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso
4 Centre National de la Recherche Scientifique et Technologique, Institut de Recherche en Sciences Appliquées et Technologies, Laboratoire des Systèmes d’Energies Renouvelable et Environnement-Génie Mécanique et Industriel (CNRST/IRSAT/LASERE-GMI), Ouagadougou, Burkina Faso
5 Centre National de la Recherche Scientifique et Technologique, Institut de Recherche en Sciences Appliquées et Technologies, Laboratoire des Systèmes d’Energies Renouvelable et Environnement-Génie Mécanique et Industriel (CNRST/IRSAT/LASERE-GMI), Ouagadougou, Burkina Faso
6 Laboratoire de Physique et de Chimie de L’Environnement, Ecole Doctorale Sciences et Technologies, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso
7 Laboratoire de Physique et de Chimie de L’Environnement, Ecole Doctorale Sciences et Technologies, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso
8 Centre Universitaire de Banfora, Université Nazi BONI, Bobo-Dioulasso, Burkina Faso
9 Centre Universitaire de Ziniaré, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso
Methane generation in landfills and its inadequate management represent the major avoidable source of anthropogenic methane today. This paper models methane production and the potential resources expected (electrical energy production and potential carbon credits from avoided CH 4 emissions) from its proper management in a municipal solid waste landfill located in Ouagadougou, Burkina Faso. The modeling was carried out using two first-order decay (FOD) models (LandGEM V3.02 and SWANA) using parameters evaluated on the basis of the characteristics of the waste admitted to the landfill and weather data for the site. At the same time, production data have been collected since 2016 in order to compare them with the model results. The results obtained from these models were compared to experimental one. For the simulation of methane production, the SWANA model showed better consistency with experimental data, with a coefficient of determination (R²) of 0.59 compared with the LandGEM model, which obtained a coefficient of 0.006. Thus, despite the low correlation values linked to the poor consistency of experimental data, the SWANA model models methane production much better than the LandGEM model. Thus, despite the low correlation values linked to the poor consistency of the experimental data, the SWANA model models methane production much better than the LandGEM V3.02 model. It was noted that the poor consistency of the experimental data justifies these low coefficients, and that they can be improved in the future thanks to ongoing in situ measurements. According to the SWANA model prediction, in 27 years of operation a biogas plant with 33% electrical efficiency using biogas from the Polesgo landfill would avoid 1,340 GgCO 2 e. Also, the evaluation of revenues due to electricity and carbon credit gave a total revenue derived from methane production of US$27.38 million at a cost of US$10.5/tonne CO 2 e.
KeywordsFirst-Order DecayMethaneModelingLandfillRenewable Energy
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