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Operational data set of a 2 MW natural gas-fired generation engine at shutdown times
In this paper, operational data of a natural gas-fired generation engine at 2 MW of power is presented. This engine is used as part of the power supply system of a flexible packaging transformation and conversion plant. This plant, besides having the power supply generated by the engine, receives el...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096767/ https://www.ncbi.nlm.nih.gov/pubmed/32258265 http://dx.doi.org/10.1016/j.dib.2020.105369 |
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author | Ochoa, Guillermo Valencia Rojas, Jhan Piero Forero, Jorge Duarte |
author_facet | Ochoa, Guillermo Valencia Rojas, Jhan Piero Forero, Jorge Duarte |
author_sort | Ochoa, Guillermo Valencia |
collection | PubMed |
description | In this paper, operational data of a natural gas-fired generation engine at 2 MW of power is presented. This engine is used as part of the power supply system of a flexible packaging transformation and conversion plant. This plant, besides having the power supply generated by the engine, receives electrical energy from the network. The data collected from this engine corresponds to measurements taken before, during and after engine stops, whether due to engine maintenance stops, engine failures or external power grid failures. The measurement was made every 10 seconds, and for the storage of these data a data acquisition software was used, which, besides allowing to take these data, shows in real time the electrical behavior of the electrical supply system, as well as the mechanical behavior of the engine. |
format | Online Article Text |
id | pubmed-7096767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70967672020-03-31 Operational data set of a 2 MW natural gas-fired generation engine at shutdown times Ochoa, Guillermo Valencia Rojas, Jhan Piero Forero, Jorge Duarte Data Brief Energy In this paper, operational data of a natural gas-fired generation engine at 2 MW of power is presented. This engine is used as part of the power supply system of a flexible packaging transformation and conversion plant. This plant, besides having the power supply generated by the engine, receives electrical energy from the network. The data collected from this engine corresponds to measurements taken before, during and after engine stops, whether due to engine maintenance stops, engine failures or external power grid failures. The measurement was made every 10 seconds, and for the storage of these data a data acquisition software was used, which, besides allowing to take these data, shows in real time the electrical behavior of the electrical supply system, as well as the mechanical behavior of the engine. Elsevier 2020-03-14 /pmc/articles/PMC7096767/ /pubmed/32258265 http://dx.doi.org/10.1016/j.dib.2020.105369 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Energy Ochoa, Guillermo Valencia Rojas, Jhan Piero Forero, Jorge Duarte Operational data set of a 2 MW natural gas-fired generation engine at shutdown times |
title | Operational data set of a 2 MW natural gas-fired generation engine at shutdown times |
title_full | Operational data set of a 2 MW natural gas-fired generation engine at shutdown times |
title_fullStr | Operational data set of a 2 MW natural gas-fired generation engine at shutdown times |
title_full_unstemmed | Operational data set of a 2 MW natural gas-fired generation engine at shutdown times |
title_short | Operational data set of a 2 MW natural gas-fired generation engine at shutdown times |
title_sort | operational data set of a 2 mw natural gas-fired generation engine at shutdown times |
topic | Energy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096767/ https://www.ncbi.nlm.nih.gov/pubmed/32258265 http://dx.doi.org/10.1016/j.dib.2020.105369 |
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