Design of a Chaotic Speed-Controlled Mixing Device and Efficiency Analysis in Biogas

Muhammed Salih Sarıkaya; Mert Süleyman Demirsoy; Mustafa Çağrı Kutlu

Article Details

Design of a Chaotic Speed-Controlled Mixing Device and Efficiency Analysis in Biogas

Authors:

Muhammed Salih Sarıkaya | Mert Süleyman Demirsoy | Mustafa Çağrı Kutlu

Publisher:

Karyay Karadeniz Yayımcılık

Main Topics:

Enerji Sistemleri Mühendisliği (Diğer) | Makine Tasarımı ve Makine Elemanları

Journal:

Black Sea Journal of Engineering and Science Vol.8 Issue 3, pp.672-679

Document Type:

Article

Publication Date:

5/2025

Document Language:

English

Document ID (Org No.):

2001345306

pISSN:

2619-8991

Keywords:

Abstract:

 This study investigates the impact of chaotic speed-controlled mixing on biogas production efficiency and compares it with conventional fixed-speed mixing. Traditional mixing methods, often operated at fixed speeds or continuous modes, lead to high energy consumption and microbial instability. To address this, a hybrid mixing system combining a helical and propeller shaft was designed to enhance substrate homogenization and biochemical reaction efficiency. A Programmable Logic Controller PLC was integrated for automatic process control, while chaotic mixing algorithms, based on Hadley, Halvorsen, Lorenz, and Sprott-A systems, dynamically adjusted the mixing speed to optimize performance. Experiments were conducted at 20C and 30C under controlled laboratory conditions. Results showed that chaotic mixing significantly improved methane yield and combustion duration compared to fixed-speed mixing. At 20C, the Chaotic Sprott-A method produced 18 Lday of methane, compared to 16 Lday with fixed-speed mixing. At 30C, the Sprott-A method reached 22 Lday, surpassing the 20 Lday of the fixed-speed method. Additionally, combustion duration, an indicator of biogas quality, increased from 740 seconds fixed-speed to 829 seconds Chaotic Sprott-A. These findings confirm that chaotic mixing enhances substrate distribution, improves biochemical reaction efficiency. Chaotic speed-controlled mixing presents a promising alternative for biogas reactors, offering higher methane production.

 This study investigates the impact of chaotic speed-controlled mixing on biogas production efficiency and compares it with conventional fixed-speed mixing. Traditional mixing methods, often operated at fixed speeds or continuous modes, lead to high energy consumption and microbial instability. To address this, a hybrid mixing system combining a helical and propeller shaft was designed to enhance substrate homogenization and biochemical reaction efficiency. A Programmable Logic Controller PLC was integrated for automatic process control, while chaotic mixing algorithms, based on Hadley, Halvorsen, Lorenz, and Sprott-A systems, dynamically adjusted the mixing speed to optimize performance. Experiments were conducted at 20C and 30C under controlled laboratory conditions. Results showed that chaotic mixing significantly improved methane yield and combustion duration compared to fixed-speed mixing. At 20C, the Chaotic Sprott-A method produced 18 Lday of methane, compared to 16 Lday with fixed-speed mixing. At 30C, the Sprott-A method reached 22 Lday, surpassing the 20 Lday of the fixed-speed method. Additionally, combustion duration, an indicator of biogas quality, increased from 740 seconds fixed-speed to 829 seconds Chaotic Sprott-A. These findings confirm that chaotic mixing enhances substrate distribution, improves biochemical reaction efficiency. Chaotic speed-controlled mixing presents a promising alternative for biogas reactors, offering higher methane production.

 This study investigates the impact of chaotic speed-controlled mixing on biogas production efficiency and compares it with conventional fixed-speed mixing. Traditional mixing methods, often operated at fixed speeds or continuous modes, lead to high energy consumption and microbial instability. To address this, a hybrid mixing system combining a helical and propeller shaft was designed to enhance substrate homogenization and biochemical reaction efficiency. A Programmable Logic Controller PLC was integrated for automatic process control, while chaotic mixing algorithms, based on Hadley, Halvorsen, Lorenz, and Sprott-A systems, dynamically adjusted the mixing speed to optimize performance. Experiments were conducted at 20C and 30C under controlled laboratory conditions. Results showed that chaotic mixing significantly improved methane yield and combustion duration compared to fixed-speed mixing. At 20C, the Chaotic Sprott-A method produced 18 Lday of methane, compared to 16 Lday with fixed-speed mixing. At 30C, the Sprott-A method reached 22 Lday, surpassing the 20 Lday of the fixed-speed method. Additionally, combustion duration, an indicator of biogas quality, increased from 740 seconds fixed-speed to 829 seconds Chaotic Sprott-A. These findings confirm that chaotic mixing enhances substrate distribution, improves biochemical reaction efficiency. Chaotic speed-controlled mixing presents a promising alternative for biogas reactors, offering higher methane production.

 This study investigates the impact of chaotic speed-controlled mixing on biogas production efficiency and compares it with conventional fixed-speed mixing. Traditional mixing methods, often operated at fixed speeds or continuous modes, lead to high energy consumption and microbial instability. To address this, a hybrid mixing system combining a helical and propeller shaft was designed to enhance substrate homogenization and biochemical reaction efficiency. A Programmable Logic Controller PLC was integrated for automatic process control, while chaotic mixing algorithms, based on Hadley, Halvorsen, Lorenz, and Sprott-A systems, dynamically adjusted the mixing speed to optimize performance. Experiments were conducted at 20C and 30C under controlled laboratory conditions. Results showed that chaotic mixing significantly improved methane yield and combustion duration compared to fixed-speed mixing. At 20C, the Chaotic Sprott-A method produced 18 Lday of methane, compared to 16 Lday with fixed-speed mixing. At 30C, the Sprott-A method reached 22 Lday, surpassing the 20 Lday of the fixed-speed method. Additionally, combustion duration, an indicator of biogas quality, increased from 740 seconds fixed-speed to 829 seconds Chaotic Sprott-A. These findings confirm that chaotic mixing enhances substrate distribution, improves biochemical reaction efficiency. Chaotic speed-controlled mixing presents a promising alternative for biogas reactors, offering higher methane production.

Article Details

Design of a Chaotic Speed-Controlled Mixing Device and Efficiency Analysis in Biogas

Authors:

Muhammed Salih Sarıkaya | Mert Süleyman Demirsoy | Mustafa Çağrı Kutlu

Publisher:

Karyay Karadeniz Yayımcılık

Main Topics:

Enerji Sistemleri Mühendisliği (Diğer) | Makine Tasarımı ve Makine Elemanları

Journal:

Black Sea Journal of Engineering and Science Vol.8 Issue 3, pp.672-679

Document Type:

Article

Publication Date:

5/2025

Document Language:

English

Document ID (Org No.):

2001345306

pISSN:

2619-8991

Biogas production

Chaos

Mechanical mixing

Speed controlBiogas production

Chaos

Mechanical mixing

Speed control

Issues

Article Details

Authors: Muhammed Salih Sarıkaya | Mert Süleyman Demirsoy | Mustafa Çağrı Kutlu

Publisher: Karyay Karadeniz Yayımcılık

Main Topics: Enerji Sistemleri Mühendisliği (Diğer) | Makine Tasarımı ve Makine Elemanları

Journal: Black Sea Journal of Engineering and Science Vol.8 Issue 3, pp.672-679

Document Type: Article

Publication Date: 5/2025

Document Language: English

Document ID (Org No.): 2001345306

pISSN: 2619-8991

Issues

Authors:

Muhammed Salih Sarıkaya | Mert Süleyman Demirsoy | Mustafa Çağrı Kutlu

Publisher:

Karyay Karadeniz Yayımcılık

Main Topics:

Enerji Sistemleri Mühendisliği (Diğer) | Makine Tasarımı ve Makine Elemanları

Journal:

Black Sea Journal of Engineering and Science Vol.8 Issue 3, pp.672-679

Document Type:

Article

Publication Date:

5/2025

Document Language:

English

Document ID (Org No.):

2001345306

pISSN:

2619-8991