1.25 Energy and Solid Wastes

Khademi, Farshad; Yıldız, İlhami

doi:10.1016/b978-0-12-809597-3.00129-2

Cited by 3 publications

(2 citation statements)

References 112 publications

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“…These useless or unwanted solid compounds are generated due to human activities, and currently world volume is approximately 2.2 trillion kilos per year. Unfortunately, half of these wastes are dumped in the oceans around the world 10 . In general, solid waste can be classified and named differently, such as household organic waste, hospital waste, institutional waste, agricultural waste, electronic waste, forest waste, chemical waste, construction waste, green waste, marine debris, biomedical waste, mining waste and radioactive waste 11 .…”

Section: General Issues On Solid Wastementioning

confidence: 99%

Solid Waste, A Critical Review: The Case of The Department of Sucre, Colombia

Blanco¹,

Villa²,

Daz³

2018

IJCTR

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Solid waste, commonly known as garbage, are those materials discarded after having completed their work or function. Their origin depends on the human beings' activities and are divided into two large groups: Hazardous and nonhazardous. General issues about solid waste are exposed in this article to have a clear idea of the solid waste diversity and how to take advantage from them or discard them. Furthermore, management of solid waste in Colombia is reported, particularly, in the department of Sucre, where deficiencies in integral management were found. The department of Sucre has high contamination from solid waste due to lack of attention given by the competent regional and national authorities.

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Section: General Issues On Solid Wastementioning

confidence: 99%

Solid Waste, A Critical Review: The Case of The Department of Sucre, Colombia

Blanco¹,

Villa²,

Daz³

2018

IJCTR

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“…This phenomenon is presumed in four biochemical reactions to be had: hydrolysis, acidogenesis, acetogenesis and methanogenesis [9].Scientific research and technical optimization in the biomass field in general, and anaerobic digestion reaction in particular, are time consuming relatively due to the long processing period [10]. Theoretical model is one of the prediction methods, using Boyle methodology, ultimate analysis, and calculation from the reaction of the decomposition of a generic compound organic composed to calculate the theoretical methane volume generated [11]. Nevertheless, this method consist to repeat analyzes of the organic load to adjust the prediction to the real conditions of landfill site [12].Today, several research studies favor numerical modeling as being the most suitable and which describes the reaction phenomenon of methanation or production of biogas (70% of methane) by anaerobic digestion with more precision [13].…”

Section: Introductionmentioning

confidence: 99%

Modeling and optimization of controlled landfill gas performance using LandGEM

DRISSI EL BOUZAIDI,

OUAZZANI

2024

Stat., optim. inf. comput.

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Modeling with LandGEM offers a large field to quantify emissions from the decomposition of organic waste, consequently prediction of energy generated from gas emissions especially those of methane. Where, the simulation results makes it possible to define the reasons of malfunction concluded by comparing between the LandGEM simulation and the experimental methodology for estimation of methane gas emissions, whose offer a huge knowing, accuracy assessment, and detailed analysis to landfill site state in terms of the production of methane, the tightness, the progress of the anaerobic degradation, the existence of sulfur compound. This study accomplished in site the methane production at 80%, a tightness of 84% compared to the 100% given by LandGEM, and an hydrogen sulfide content which far exceed the recommended limit, cause of corrosion attacking especially the biogas compressor which provoke a complete shutdown to product the electrical energy. Unlike the LandGEM digital model, whose site must produce 3,145.107 m3 of methane with 100% site tightness, a hydrogen sulfide content equivalent to 40 ppm, for a production of electrical energy equivalent to 10,941.107kWh according to the year ‘2022’. To optimizing landfill gas performance, we forecast the installation of automatic analyzer sensors to anticipate of an alert for intervention, generated by accidental loss of methane in the air, infiltration of oxygen inside the lockers, disruption of the stability of the fermentation process, or existence of high sulfur contents in organic matter.

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