Scopus
YÖKSİS DOI Eşleşti
SJR Q1
Optimization of Electricity Generation Parameters with Microbial Fuel Cell Using the Response Surface Method
Arabian Journal for Science and Engineering · Aralık 2022
YÖKSİS Kayıtları
Optimization of Electricity Generation Parameters with Microbial Fuel Cell Using the Response Surface Method
Arabian Journal for Science and Engineering · 2022 SCI-Expanded
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Optimization of Electricity Generation Parameters with Microbial Fuel Cell Using the Response Surface Method
2022 ISSN: 2193-567X SCI-Expanded Q2
Prof. Dr. ŞAKİR TAŞDEMİR →
The Innovative Approach to Real-Time Detection of Fuel Types Based on Ultrasonic Sensor and Machine Learning
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The Innovative Approach to Real-Time Detection of Fuel Types Based on Ultrasonic Sensor and Machine Learning
2024 ISSN: 2193-567X SCI-Expanded Q2
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Makale Bilgileri
ISSN2193567X
Yayın TarihiAralık 2022
Cilt / Sayfa47 · 15705-15725
Scopus ID2-s2.0-85127238176
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 90%. The ANOVA analysis applied to determine parameter ethicalities also showed that the most effective parameter on the reactions from the sludge types considered was the resistance at different rates. Thus, the results suggest that the orthogonal design-based RSM model is an effective tool that provides key information for optimizing energy harvesting from MFC technology and saves time concerning experimental work.
Yazarlar (4)
1
Süleyman Neşeli
2
Kevser Dincer
3
Şakir Taşdemir
4
Mustafa Akram Hayder Hayder
Anahtar Kelimeler
Active and sediment sludge
Microbial fuel cells
Orthogonal design
Response surface methodology
Kurumlar
Konya Technical University
Konya Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Arabian Journal for Science and Engineering
Q1
SJR Skoru0,545
H-Index89
ÜlkeGermany
Multidisciplinary (Q1)
Metrikler
4
Atıf
4
Yazar
4
Anahtar Kelime