Optimization of Electricity Generation Parameters with Microbial Fuel Cell Using the Response Surface Method
Yazarlar (4)
Prof. Dr. Süleyman Neşeli Selçuk Üniversitesi, Türkiye
Kevser Dincer
Konya Teknik Üniversitesi, Türkiye
Prof. Dr. Şakir TAŞDEMİR Selçuk Üniversitesi, Türkiye
Mustafa Akram Hayder Hayder Konya Technical University, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Arabian Journal for Science and Engineering (Q2)
Dergi ISSN 2193-567X Dergi Bilgileri (2022)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Türkçe Basım Tarihi 01-2022
Cilt / Sayı / Sayfa 47 / 12 / 15705–15725 DOI 10.1007/s13369-022-06659-y
Makale Linki http://dx.doi.org/10.1007/s13369-022-06659-y
UAK Araştırma Alanları
Yapay Zeka
Özet
Due to an ever-increasing population and developments in technology, the demand for energy has been increasing daily. In order to meet this demand, renewable and alternative energy sources that do not harm the environment are often recommended. One of these alternative sources can be obtained from human wastewater and is known as the Microbial Fuel Cell (MFC). This study aimed to estimate the electricity production performance of MFC, using Nafion 117 membrane with 10 × 10 and 11 × 11 cm2 area by both active and sediment sludges. The responses obtained from 16 physical experiments performed according to the L16(24 × 22) Taguchi orthogonal index were analyzed by the response surface method (RSM). According to the analysis, it was determined that the quadratic polynomial equations created for the estimation of the reaction values of the active and sediment sludge had validity over …
Anahtar Kelimeler
Active and sediment sludge | Microbial fuel cells | Orthogonal design | Response surface methodology
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 3
Scopus 4
Google Scholar 5
Optimization of Electricity Generation Parameters with Microbial Fuel Cell Using the Response Surface Method

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