Simulation of Arc Plasma Gasification Based on Experimental Conditions
An EPJ process simulation model was set up and verified to simulate the plasma gasification process of the medical wastes. The influence of ER value and SAMR value was simulated based on experimental conditions including material feeding rate, furnace temperature and medical waste properties. Result...
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EDP Sciences
2020-01-01
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Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/54/e3sconf_icaeer2020_05029.pdf |
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doaj-e68ab6e109f94da7b174c5451eabf2482021-04-02T13:07:39ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011940502910.1051/e3sconf/202019405029e3sconf_icaeer2020_05029Simulation of Arc Plasma Gasification Based on Experimental ConditionsCao Yawen0Li Bin1Wang Qin2Zhang Zhihao3Han Xianwei4Shaanxi Key Laboratory of Plasma Physics and Applied TechnologyAcademy of Aerospace Propulsion TechnologyState Key Laboratory of Clean Energy Utilization, Zhejiang UniversityShaanxi Key Laboratory of Plasma Physics and Applied TechnologyShaanxi Key Laboratory of Plasma Physics and Applied TechnologyAn EPJ process simulation model was set up and verified to simulate the plasma gasification process of the medical wastes. The influence of ER value and SAMR value was simulated based on experimental conditions including material feeding rate, furnace temperature and medical waste properties. Results shows that ER=0.3 is a turning point for medical waste plasma gasification. The required input plasma power and volume flow of combustible constituents in syngas reach the maximum at ER=0.3. The balance of syngas composition and required input plasma power should be overall considered. Results shows that the SAMR value mainly influences the amount of H element and N element in the system at a fixed ER value, thus influencing the proportions of H2 and N2 in monotonous ways. Input plasma power needed and combustible syngas flow increase with the increasing SAMR.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/54/e3sconf_icaeer2020_05029.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Cao Yawen Li Bin Wang Qin Zhang Zhihao Han Xianwei |
spellingShingle |
Cao Yawen Li Bin Wang Qin Zhang Zhihao Han Xianwei Simulation of Arc Plasma Gasification Based on Experimental Conditions E3S Web of Conferences |
author_facet |
Cao Yawen Li Bin Wang Qin Zhang Zhihao Han Xianwei |
author_sort |
Cao Yawen |
title |
Simulation of Arc Plasma Gasification Based on Experimental Conditions |
title_short |
Simulation of Arc Plasma Gasification Based on Experimental Conditions |
title_full |
Simulation of Arc Plasma Gasification Based on Experimental Conditions |
title_fullStr |
Simulation of Arc Plasma Gasification Based on Experimental Conditions |
title_full_unstemmed |
Simulation of Arc Plasma Gasification Based on Experimental Conditions |
title_sort |
simulation of arc plasma gasification based on experimental conditions |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2020-01-01 |
description |
An EPJ process simulation model was set up and verified to simulate the plasma gasification process of the medical wastes. The influence of ER value and SAMR value was simulated based on experimental conditions including material feeding rate, furnace temperature and medical waste properties. Results shows that ER=0.3 is a turning point for medical waste plasma gasification. The required input plasma power and volume flow of combustible constituents in syngas reach the maximum at ER=0.3. The balance of syngas composition and required input plasma power should be overall considered. Results shows that the SAMR value mainly influences the amount of H element and N element in the system at a fixed ER value, thus influencing the proportions of H2 and N2 in monotonous ways. Input plasma power needed and combustible syngas flow increase with the increasing SAMR. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/54/e3sconf_icaeer2020_05029.pdf |
work_keys_str_mv |
AT caoyawen simulationofarcplasmagasificationbasedonexperimentalconditions AT libin simulationofarcplasmagasificationbasedonexperimentalconditions AT wangqin simulationofarcplasmagasificationbasedonexperimentalconditions AT zhangzhihao simulationofarcplasmagasificationbasedonexperimentalconditions AT hanxianwei simulationofarcplasmagasificationbasedonexperimentalconditions |
_version_ |
1721566364882173952 |