| 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 |
| Atıf Sayıları | |
| Web of Science | 3 |
| Scopus | 4 |
| Google Scholar | 5 |
| Dergi Adı | ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING |
| Kısa Adı | ARAB J SCI ENG |
| Yayıncı | SPRINGER HEIDELBERG |
| Açık Erişim | Hayır |
| ISSN | 2193-567X |
| E-ISSN | 2191-4281 |
| Wos Quartile | Q2 |
| Scopus Quartile | Q1 |
| Tarandığı Indeksler | SCIE , Scopus |
| WoS Kategoriler | MULTIDISCIPLINARY SCIENCES |
| Scopus Kategoriler | MULTIDISCIPLINARY |