Chun Kang, Yaqian Zhao, Cheng Tang

Chemical Engineering Journal • 2025

R. Prashanthi

Ionics • 2023

J. Mahato, M. Miah, M. S. Shovon et al.

Chemical and Biochemical Engineering Quarterly • 2022

Unknown Author

International Journal of Green and Herbal Chemistry • 2021

Boobalan Thulasinathan, Tamilmani Jayabalan, Nagarajan Arumugam et al.

Fuel • 2022

Payel Choudhury, Rup Narayan Ray, Onkar Nath Tiwari et al.

Fuel • 2021

Abirami S, M. Suja

SSRN Electronic Journal • 2021

Grzegorz Pasternak, Aleksander de Rosset, Piotr Rutkowski

SSRN Electronic Journal • 2021

S.M. Zakir Hossain, Nahid Sultana, Shaker Haji et al.

Fuel • 2023

Bita Roshanravan, Habibollah Younesi, Mahdi Abdollahi et al.

Fuel • 2022

Mpumelelo T. Matsena, Evans M.N. Chirwa

Fuel • 2022

Hassan Zarenezhad, Ali Rezaei, Soheil Aber et al.

Fuel • 2024

Hoang Dung Nguyen, Sandhya Babel

Fuel • 2024

Hirra Zafar, Nicolas Peleato, Deborah Roberts

Bioresource Technology • 2023

Unknown Author

Nature India • 2023

Ukaoma Adanma, Duru M C, Iwu Irenus et al.

International Journal of Science and Research (IJSR) • 2021

Akansha Shrivastava, Divya Rishi Shrivastava, Rakesh Kumar Sharma

Fuel • 2023

P Maharathi, C Mohanty

International Journal of Science and Research (IJSR) • 2021

Aryama Raychaudhuri, Manaswini Behera

Fuel • 2023

Yiyang Liu, Liye Shen, Pengfei Song et al.

International Journal of Electrochemical Science • 2018

Yuan Wang, Yali Feng, Haoran Li et al.

International Journal of Electrochemical Science • 2018

Yu Zhao, Yuxue Wang, Ailian Wu et al.

International Journal of Electrochemical Science • 2019

Zhi-shuai Dong, Yu Zhao, Lei Fan et al.

International Journal of Electrochemical Science • 2017

Sara Mateo, Pablo Cañizares, Manuel Andrés Rodrigo et al.

Chemosphere • 2018

Wei Guo, Mingjiang Geng, Hong Song et al.

International Journal of Electrochemical Science • 2016

Jin Jiang, Hui Wu, Xiaohong Liu et al.

International Journal of Electrochemical Science • 2020

Li-ping Fan, Xiang Feng

International Journal of Electrochemical Science • 2020

Yankai Yin, Chengcai Fu, Fengying Ma

International Journal of Electrochemical Science • 2019

Qi Feng, Longjun Xu, Yanzhao Xu et al.

International Journal of Electrochemical Science • 2019

Nael Yasri, Edward P.L. Roberts, Sundaram Gunasekaran

Energy Reports • 2019

Federico Poli, Jacopo Seri, Carlo Santoro et al.

ChemElectroChem • 2020

Yu Zhao, Lei Fan, Donghua Yang et al.

Chemical Research in Chinese Universities • 2019

Milad Kadivarian, Masoud Karamzadeh

Bioprocess and Biosystems Engineering • 2019

Organic matters are directly converted to electricity by microorganisms in microbial fuel cells (MFC). Modeling the performance of MFC sheds light on the behavior of MFC in various operational conditions (e.g. pH and temperature). In the present research, three voltage losses were considered for modeling of the MFC polarization curve. The current research is composed of two parts. In the first part, the polarization curves of various MFCs with different substrates (synthetic wastewater or industrial wastewaters) were reproduced by our model, and model parameters were obtained using experimental data and genetic algorithm optimization. In this part, the electrical performance of 26 systems (12 systems with synthetic wastewater and 14 systems with industrial wastewaters) were modeled with average relative error (ARE) of 17% and a coefficient of determination of 0.9. In the second part, the influence of temperature, pH and hydraulic retention time on the electrical performance of MFC were studied. In this part, parameters were estimated by conventional (estimation of model parameters in each point), and a novel method (estimation of model parameters as a function of operating parameters). It was shown that using second tuning method, the number of estimated parameters decreased, while the error of the model remained at an acceptable level.

Adamu Ali-Gombe, Eyad Elyan

Neurocomputing • 2019

Renjing GAO

Journal of Mechanical Engineering • 2015

Unknown Author

World Pumps • 2020

Anand Parkash

Journal of Bioprocessing & Biotechniques • 2017

Unknown Author

Baghdad Science Journal • 2020

Ming Li, Minghua Zhou, Xiaoyu Tian et al.

Biotechnology Advances • 2018

Within the past 5 years, tremendous advances have been made to maximize the performance of microbial fuel cells (MFCs) for both "clean" bioenergy production and bioremediation. Most research efforts have focused on parameters including (i) optimizing reactor configuration, (ii) electrode construction, (iii) addition of redox-active, electron donating mediators, (iv) biofilm acclimation and feed nutrient adjustment, as well as (v) other parameters that contribute to enhanced MFC performance. To date, tremendous advances have been made, but further improvements are needed for MFCs to be economically practical. In this review, the diversity of electrogenic microorganisms and microbial community changes in mixed cultures are discussed. More importantly, different approaches including chemical/genetic modifications and gene regulation of exoelectrogens, synthetic biology approaches and bacterial community cooperation are reviewed. Advances in recent years in metagenomics and microbiomes have allowed researchers to improve bacterial electrogenicity of robust biofilms in MFCs using novel, unconventional approaches. Taken together, this review provides some important and timely information to researchers who are examining additional means to enhance power production of MFCs.

H S Bauomy, A T EL-Sayed

Physica Scripta • 2020

Abstract This manuscript presents connect a Proportional-Derivative (PD) controller with a macro-fiber composite (MFC) laminated shell system. Nonlinear equations of the MFC laminated shell have been established. The simultaneous resonance case Ω 1 ≅ ω 1 ≅ ω 2 considered as worst resonance. The main motivation of this research is applying a suitable vibration control to reduce or diminish the high vibration caused by the model. So, we used here PD controller in controlling the behavior MFC laminated shell structure. The goal of using the PD controller is to increase the system stability by improving control since it has an ability to predict the future error of the framework response. This control method makes stability increased, maximum peak overshoot decreased, settling time decreases. This controller is applied to recover the framework transient response. A second-order approximate solution has gained via applying multiple time scale perturbation (MTSP) technique. Every expected resonance case at this approximation order is extracted. After adding the PD-controller of the current framework, it eliminates the vibration amplitudes of the considered structure. Frequency (angular speed) response curves examined at special uncontrolled and controlled coefficients of the system. Finally, the conclusion shows a high efficiency of the measured control algorithm for eliminating vibrations of the modified system. A comparison between other approaches control algorithms had been prepared. The results are compared with the numerical simulations, and this shows a good verification for the approximate solution and for the control algorithm used in this manuscript. A comparison with earlier available papers is involved at the end.