Study on Accelerating Energy Conversion for Industrial Anaerobic Reactors

Kara, Ayhan Nedim; Şenol, Halil

doi:10.29233/sdufeffd.1128452

Cited by 2 publications

(1 citation statement)

References 38 publications

(32 reference statements)

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“…In the mentioned studies, the coefficient of determination (R 2 ) and/or AIC , Bayesian information criterion were used as the performance criteria of the models. Different types of modeling, such as sigmoidal growth curves, have been used quite frequently in previous studies in the literature (Kara and Şenol 2022;Bianco et al, 2022, Kara, 2019. However, in no previous study, the mean curves and arc lengths of the models were used as model performance criteria.…”

Section: 𝑑𝑑𝑑𝑑mentioning

confidence: 99%

New approaches in choosing a suitable growth model: Mean Curvature and Arc Length Values

Oda

Korkmaz

Şenol

2022

Karadeniz Fen Bilimleri Dergisi

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Logistic, Gompertz and Bertalanffy sigmoid growth models are widely used to study the growth dynamics of populations such as living plants, animals and bacteria. Appropriate model selection and parameter estimation are very important as these models will be used to make practical inferences. Because different growth models are modeled biologically, regardless of whether the parameters are definable or not. Applications that do not take into account parameter identifiability can lead to unreliable parameter estimates and misleading interpretations. Therefore, first the most suitable model should be determined and then the parameters should be defined. In this study, two new suitable model determination criteria such as mean curvature and arc length are proposed. For this, firstly, the definition of curvature was given. Then, the mean curvature and arc length values of the data belonging to two different species (kangal dog growth and eucalyptus plant growth) were calculated. For this purpose, a comparison was made with model selection criteria available in the literature such as coefficient of determination, error sum of squares and Akaike information criterion (AIC). It has been determined that the results obtained from the mean curvature and arc length values are in accordance with the existing criteria. In the two datasets, it was seen that the fit model ranking for both the existing criteria and the criteria we proposed was the same. For this reason, it is thought that the mean curvature and arc length values can be accepted as suitable model selection criteria.

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Section: 𝑑𝑑𝑑𝑑mentioning

confidence: 99%

New approaches in choosing a suitable growth model: Mean Curvature and Arc Length Values

Oda

Korkmaz

Şenol

2022

Karadeniz Fen Bilimleri Dergisi

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Increasing the Biomethane Yield of Hazelnut By-Products by Low Temperature Thermal Pretreatment

Şenol,

Oyan,

Görgün

2024

Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi

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Biomethane energy, which has the status of renewable energies, has the potential to be produced from all kinds of organic wastes, as well as from lignocellulosic materials, which are the most common in nature. In this study, hazelnut shells (HS), one of the hazelnut by-products, were used for biomethane production. In order to obtain higher yields from HS, thermal pre-treatments were applied at temperatures of 60°C, 80°C and 100°C. Pretreatment effects were controlled by lignocellulosic substance amount determinations. As a result of thermal pretreatment at 100°C for 2 h, cellulose and lignin removals occurred approximately 15% and 30%, respectively. While the cumulative biomethane yield of raw HS was 32.3 mL•g total solids (TS)‒1, the cumulative biomethane yields of 100°C pretreated HS were measured as 132.3 mL•gTS‒1. As a result of different pretreatment temperatures, different cumulative biomethane yield curves were successfully simulated with the Modified Gompertz equation and R2 values were found to be between 0.9962 - 0.9985.

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Study on Accelerating Energy Conversion for Industrial Anaerobic Reactors

Cited by 2 publications

References 38 publications

New approaches in choosing a suitable growth model: Mean Curvature and Arc Length Values

New approaches in choosing a suitable growth model: Mean Curvature and Arc Length Values

Increasing the Biomethane Yield of Hazelnut By-Products by Low Temperature Thermal Pretreatment

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