Biogas Production From Domestic Resources as an Alternative Energy Source: A Comprehensive Feasibility Study

İlbaş, Mustafa; Antari, Lina O. A.; Şahin, Murat

doi:10.1615/interjenercleanenv.2021037381

Cited by 12 publications

(1 citation statement)

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“…Hair goat breeding has been raised in every region of Turkey, Angora goat breeding has been raised in the Mediterranean region. Agricultural production and animal husbandry are widespread in Turkey due to both climate and land conditions (Font-Palma 2019; Şenol et al 2021;Ilbas et al 2022). The number of cattle breeding enterprises registered in the Turkvet Animal Registration System in Turkey is 1295632, and the number of sheep and goat breeding enterprises is 444446 (World Bank 2021; RTMAF 2022).…”

Section: Renewable Energy and Biomass From Animal Manure In Turkeymentioning

confidence: 99%

Detailed analysis of animal manure-based CO2 emissions, coal, electricity, thermal energy, and CH4 emissions and using machine learning as a forecasting method: a study from Turkey

Pençe

Kumaş

Siseci

et al. 2022

Preprint

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In this study, the animal manure-based biogas potentials of Antalya, Isparta, and Burdur provinces in the Western Mediterranean region of Turkey were calculated. CO2 emission, coal, electricity, and thermal energy, CH4 emission values were calculated and machine learning modeling was performed. A total of 550305 tons/year of manure can be obtained from this animal's existence. As a result of the calculation, 130929541 m3/year of biogas can be produced from manure. Depending on biogas production; 93484 tons/year of coal, 235673174 kWh/year of electrical energy, and 2828078093 MJ/year of thermal energy can be provided and 153653 tons/year of CO2 emissions will be prevented. In this study, special information on cattle, sheep, and poultry, and animal age, number, and manure amount information were used in detail. To determine the model with the best results, machine learning algorithms Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), and Linear Regression (LR) were used and hyper-parameter optimization was performed. According to the results of biogas potential, CO2 emission, electricity production, and thermal energy estimations SVM models are seen as the best models with R2 = 0.999. When the coal amount estimation is examined, the LR models produce better results than SVM and MLP with R2 = 0.997. In the estimation of CH4 using the Tier 1 approach, the MLP model can perform the best estimation with R2 = 0.977. In the CH4 modeling obtained using the Tier 2 approach, the LR models were superior to the other models with the performance value of R2 = 0.962.

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Section: Renewable Energy and Biomass From Animal Manure In Turkeymentioning

confidence: 99%

Detailed analysis of animal manure-based CO2 emissions, coal, electricity, thermal energy, and CH4 emissions and using machine learning as a forecasting method: a study from Turkey

Pençe

Kumaş

Siseci

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

Modeling of energy and emissions from animal manure using machine learning methods: the case of the Western Mediterranean Region, Turkey

Pençe

Kumaş

Siseci

et al. 2022

Environ Sci Pollut Res

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The synergistic effect on the product distribution for the co-pyrolysis of tannery wastes

Zhang

Kang

et al. 2022

Fuel

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Biogas Production From Domestic Resources as an Alternative Energy Source: A Comprehensive Feasibility Study

Cited by 12 publications

References 0 publications

Detailed analysis of animal manure-based CO2 emissions, coal, electricity, thermal energy, and CH4 emissions and using machine learning as a forecasting method: a study from Turkey

Detailed analysis of animal manure-based CO2 emissions, coal, electricity, thermal energy, and CH4 emissions and using machine learning as a forecasting method: a study from Turkey

Modeling of energy and emissions from animal manure using machine learning methods: the case of the Western Mediterranean Region, Turkey

The synergistic effect on the product distribution for the co-pyrolysis of tannery wastes

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