Modeling, Diagnosis and Control of Fuel-Cell-based Technologies and their Integration in Smart-Grids and Automotive Systems
Society is gradually becoming aware that the current energy system, based on the use of fossil fuels is inefficient, highly polluting and finite supply. Within the scientific community and industry stakeholders, there is a unified agreement that indicates that hydrogen (H2), as an energy vector, com...
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Formato: | Articulo Preprint |
Lenguaje: | Inglés |
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2015
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/123990 |
Aporte de: |
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I19-R120-10915-123990 |
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record_format |
dspace |
institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
collection |
SEDICI (UNLP) |
language |
Inglés |
topic |
Ingeniería Electrónica Special issues and sections Smart grids Automotive engineering Energy management Fuel cells Modeling Control design |
spellingShingle |
Ingeniería Electrónica Special issues and sections Smart grids Automotive engineering Energy management Fuel cells Modeling Control design Kunusch, Cristian Ocampo Martínez, Carlos Valla, María Inés Modeling, Diagnosis and Control of Fuel-Cell-based Technologies and their Integration in Smart-Grids and Automotive Systems |
topic_facet |
Ingeniería Electrónica Special issues and sections Smart grids Automotive engineering Energy management Fuel cells Modeling Control design |
description |
Society is gradually becoming aware that the current energy system, based on the use of fossil fuels is inefficient, highly polluting and finite supply. Within the scientific community and industry stakeholders, there is a unified agreement that indicates that hydrogen (H2), as an energy vector, combined with other sources of alternative energy, represents a safe and viable option to mitigate the problems associated with hydrocarbon combustion, because the entire system can be developed as an efficient, clean and sustainable energy source. In this context, the change from the current energy system to a new system with a stronger involvement of H2 relentlessly involves the introduction of fuel cells as elements of efficient energy conversion. |
format |
Articulo Preprint |
author |
Kunusch, Cristian Ocampo Martínez, Carlos Valla, María Inés |
author_facet |
Kunusch, Cristian Ocampo Martínez, Carlos Valla, María Inés |
author_sort |
Kunusch, Cristian |
title |
Modeling, Diagnosis and Control of Fuel-Cell-based Technologies and their Integration in Smart-Grids and Automotive Systems |
title_short |
Modeling, Diagnosis and Control of Fuel-Cell-based Technologies and their Integration in Smart-Grids and Automotive Systems |
title_full |
Modeling, Diagnosis and Control of Fuel-Cell-based Technologies and their Integration in Smart-Grids and Automotive Systems |
title_fullStr |
Modeling, Diagnosis and Control of Fuel-Cell-based Technologies and their Integration in Smart-Grids and Automotive Systems |
title_full_unstemmed |
Modeling, Diagnosis and Control of Fuel-Cell-based Technologies and their Integration in Smart-Grids and Automotive Systems |
title_sort |
modeling, diagnosis and control of fuel-cell-based technologies and their integration in smart-grids and automotive systems |
publishDate |
2015 |
url |
http://sedici.unlp.edu.ar/handle/10915/123990 |
work_keys_str_mv |
AT kunuschcristian modelingdiagnosisandcontroloffuelcellbasedtechnologiesandtheirintegrationinsmartgridsandautomotivesystems AT ocampomartinezcarlos modelingdiagnosisandcontroloffuelcellbasedtechnologiesandtheirintegrationinsmartgridsandautomotivesystems AT vallamariaines modelingdiagnosisandcontroloffuelcellbasedtechnologiesandtheirintegrationinsmartgridsandautomotivesystems |
bdutipo_str |
Repositorios |
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1764820450633842688 |