Araştırma Makalesi

Maximizing Biogas Yield in Anaerobic Digestion: A Response Surface Methodology Approach

Cilt: 8 Sayı: 4 15 Temmuz 2025
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Maximizing Biogas Yield in Anaerobic Digestion: A Response Surface Methodology Approach

Öz

The aim of this study is to evaluate the eutrophication water and cattle manure wastes in the Güldürcek dam reservoir that meets the drinking water of Çankırı province in biogas production and to contribute to the economy of Çankırı province. Microwave pretreatment experiments were carried out but it was determined that it did not increase the biogas efficiency. In the study, it was determined that when eutrophication water was mixed with cattle manure by the RSM method and the mixing ratio was 1/1, the highest methane production was obtained at a rate of 83-86% in the first 8 and 24 hours under optimum conditions with anaerobic digestion at a temperature of 35 °C. The composition of the obtained biogas was measured as follows; carbon dioxide (CO2) 7.65%, oxygen (O2) 4.5%, hydrogen (H2) 0.018% and hydrogen sulfide (H2S) zero. Another point to be noted in the analysis results is that the H2S rate, which is formed as a result of anaerobic digestion and causes economic losses due to corrosion of metal equipment in the system, is zero. According to the RSM method, the most suitable model was found to be Quadratic. The high R2 value of the selected model (0.9649) supports the accuracy of the model.

Anahtar Kelimeler

Proje Numarası

Çankırı Karatekin University Scientific Research Projects Coordination Unit project number MF210621D02.

Etik Beyan

No

Teşekkür

The authors declare that this work was supported by the Çankırı Karatekin University Scientific Research Projects Coordination Unit project number MF210621D02.

Kaynakça

  1. Ahmad A, Yadav AK, Singh A, Singh DK. 2024. A comprehensive machine learning-coupled response surface methodology approach for predictive modeling and optimization of biogas potential in anaerobic co-digestion of organic waste. Biomass Bioenergy, 180: 106995.
  2. Afridi ZUR, Qammar NW. 2020. Technical challenges and optimization of biogas plants. ChemBioEng Rev, 7(4): 119-129.
  3. Akbay HEG. 2024. Anaerobic mono and co-digestion of agro-industrial waste and municipal sewage sludge: Biogas production potential, kinetic modelling, and digestate characteristics. Fuel, 355: 129468.
  4. Akindolire MA, Rama H, Roopnarain A. 2022. Psychrophilic anaerobic digestion: A critical evaluation of microorganisms and enzymes to drive the process. Renew Sustain Energy Rev, 161: 112394.
  5. Aydoğmuş E, Dağ M, Yalçın ZG, Arslanoğlu H. 2022. Synthesis and characterization of waste polyethylene reinforced modified castor oil‐based polyester biocomposite. J Appl Polym Sci, 139(27): e52526.
  6. Bensegueni C, Kheireddine B, Khalfaoui A, Amrouci Z, Bouznada MO, Derbal K. 2025. Optimization of biogas and biomethane yield from anaerobic conversion of pepper waste using response surface methodology. Sustainability, 17(6): 2688.
  7. Bhujbal SK, Preetam A, Ghosh P, Vijay VK, Kumar V. 2025. Machine learning and response surface methodology for optimization of bioenergy production from sugarcane bagasse biochar-improved anaerobic digestion. Process Saf Environ Prot, 106907.
  8. Chanu TN, Nag SK, Koushlesh SK, Devi MS, Das BK. 2022. Greenhouse gas emission from inland open water bodies and their estimation process—an emerging issue in the era of climate change. Agric Sci, 13(2): 290-306.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Atık Yönetimi, Azaltma, Yeniden Kullanım ve Geri Dönüşüm, Çevresel ve Sürdürülebilir Süreçler

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Temmuz 2025

Gönderilme Tarihi

25 Nisan 2025

Kabul Tarihi

22 Mayıs 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 8 Sayı: 4

Kaynak Göster

APA
Günay, K., & Yalçın, Z. G. (2025). Maximizing Biogas Yield in Anaerobic Digestion: A Response Surface Methodology Approach. Black Sea Journal of Engineering and Science, 8(4), 1103-1110. https://doi.org/10.34248/bsengineering.1683991
AMA
1.Günay K, Yalçın ZG. Maximizing Biogas Yield in Anaerobic Digestion: A Response Surface Methodology Approach. BSJ Eng. Sci. 2025;8(4):1103-1110. doi:10.34248/bsengineering.1683991
Chicago
Günay, Koray, ve Zehra Gülten Yalçın. 2025. “Maximizing Biogas Yield in Anaerobic Digestion: A Response Surface Methodology Approach”. Black Sea Journal of Engineering and Science 8 (4): 1103-10. https://doi.org/10.34248/bsengineering.1683991.
EndNote
Günay K, Yalçın ZG (01 Temmuz 2025) Maximizing Biogas Yield in Anaerobic Digestion: A Response Surface Methodology Approach. Black Sea Journal of Engineering and Science 8 4 1103–1110.
IEEE
[1]K. Günay ve Z. G. Yalçın, “Maximizing Biogas Yield in Anaerobic Digestion: A Response Surface Methodology Approach”, BSJ Eng. Sci., c. 8, sy 4, ss. 1103–1110, Tem. 2025, doi: 10.34248/bsengineering.1683991.
ISNAD
Günay, Koray - Yalçın, Zehra Gülten. “Maximizing Biogas Yield in Anaerobic Digestion: A Response Surface Methodology Approach”. Black Sea Journal of Engineering and Science 8/4 (01 Temmuz 2025): 1103-1110. https://doi.org/10.34248/bsengineering.1683991.
JAMA
1.Günay K, Yalçın ZG. Maximizing Biogas Yield in Anaerobic Digestion: A Response Surface Methodology Approach. BSJ Eng. Sci. 2025;8:1103–1110.
MLA
Günay, Koray, ve Zehra Gülten Yalçın. “Maximizing Biogas Yield in Anaerobic Digestion: A Response Surface Methodology Approach”. Black Sea Journal of Engineering and Science, c. 8, sy 4, Temmuz 2025, ss. 1103-10, doi:10.34248/bsengineering.1683991.
Vancouver
1.Koray Günay, Zehra Gülten Yalçın. Maximizing Biogas Yield in Anaerobic Digestion: A Response Surface Methodology Approach. BSJ Eng. Sci. 01 Temmuz 2025;8(4):1103-10. doi:10.34248/bsengineering.1683991

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