ARTÍCULO
TITULO

Experimental set-up design of SOFC single cell performance using simple furnace with maximum temperature of 1000 degrees

Darjat Darjat    
Sulistyo Sulistyo    
Aris Triwiyatno    
Sumardi Sumardi    
Isroni Widiyantoro    

Resumen

Real-time monitoring and control of solid oxide fuel cell (SOFC) systems is are important to identify and understand cell performance. Some parameters that affect the performance of SOFC cells include fuel flow rate, furnace temperature, and the cell material itself. These parameters have a correlation with each other in making SOFC cells to be applied as a substitute for alternative energy. This results in a reliable SOFC cell, optimal output voltage and lower operating temperature. Because so far the material of SOFC cells is ceramics that have a working temperature range between 500?1000 °C. Monitoring is limited by the SOFC operating environment around the furnace. SOFC operations are limited to hydrogen and oxygen fuel flow channels. The maximum furnace operating temperature is 1000 degrees, and the minimum output voltage for one cell. Therefore, it is necessary to place sensor sensing points as needed. This study aims to design a monitoring and regulation system for hydrogen/oxygen flow in the SOFC operating environment based on the Arduino Mega 2560 microcontroller and computer interface. Valve control uses open-loop and on-off control methods. Open-loop control is used to set the valve rotation angle value. While the on-off control to close the valve automatically when there is an excess concentration of hydrogen in a laboratory room. The system is designed for the needs of laboratory-scale experiments on simple furnaces. This device also functions as a simple mini prototype module. So that it can be used as material to learn and understand the SOFC system widely. The prototype test results show that the flow of hydrogen can be adjusted from 0.07?4.74 L/min and oxygen can be adjusted between 0.24?4.8 L/min. Temperature sensors have an average error of 2.6 % and voltage sensors have an accuracy of 0.1 V

Palabras claves

 Artículos similares

       
 
Mazen Gazzan and Frederick T. Sheldon    
Ransomware attacks have emerged as a significant threat to critical data and systems, extending beyond traditional computers to mobile and IoT/Cyber?Physical Systems. This study addresses the need to detect early ransomware behavior when only limited dat... ver más
Revista: Information

 
Anastasios Fanariotis, Theofanis Orphanoudakis and Vassilis Fotopoulos    
Having as a main objective the exploration of power efficiency of microcontrollers running machine learning models, this manuscript contrasts the performance of two types of state-of-the-art microcontrollers, namely ESP32 with an LX6 core and ESP32-S3 wi... ver más
Revista: Information

 
Agostinho Agra and Jose Maria Samuco    
Given a social network modelled by a graph, the goal of the influence maximization problem is to find k vertices that maximize the number of active vertices through a process of diffusion. For this diffusion, the linear threshold model is considered. A n... ver más
Revista: Information

 
Yue Zha, Yuanzhi Ke, Xiao Hu and Caiquan Xiong    
Named entity recognition (NER) is particularly challenging for medical texts due to the high domain specificity, abundance of technical terms, and sparsity of data in this field. In this work, we propose a novel attention layer, called the ?ontology atte... ver más
Revista: Applied Sciences

 
Shurong Peng, Lijuan Guo, Yuanshu Li, Haoyu Huang, Jiayi Peng and Xiaoxu Liu    
The allocation of biogas between power generation and heat supply in traditional kitchen waste power generation system is unreasonable; for this reason, a biogas prediction method based on feature selection and heterogeneous model integration learning is... ver más
Revista: Applied Sciences