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Dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical CO(2) cycle

This article provides the dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical CO(2) cycle by the thermodynamic optimization procedure employed in the research article “Thermodynamic optimization and equipment development for a high efficient fossil fue...

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Detalles Bibliográficos
Autores principales: Rogalev, Andrey, Rogalev, Nikolay, Kindra, Vladimir, Osipov, Sergey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838369/
https://www.ncbi.nlm.nih.gov/pubmed/31720334
http://dx.doi.org/10.1016/j.dib.2019.104682
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author Rogalev, Andrey
Rogalev, Nikolay
Kindra, Vladimir
Osipov, Sergey
author_facet Rogalev, Andrey
Rogalev, Nikolay
Kindra, Vladimir
Osipov, Sergey
author_sort Rogalev, Andrey
collection PubMed
description This article provides the dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical CO(2) cycle by the thermodynamic optimization procedure employed in the research article “Thermodynamic optimization and equipment development for a high efficient fossil fuel power plant with zero emissions” (Rogalev et al., 2019) [1]. The performance characteristics of the different air separation units, which were used for the investigation of an influence of the produced oxygen purity on power consumption, are presented. Moreover, the methodology for the evaluation of gross and net efficiency is described. The working fluid parameters and performance characteristics are subdivided into several tables differing from each other by the values of initial pressure.
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spelling pubmed-68383692019-11-12 Dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical CO(2) cycle Rogalev, Andrey Rogalev, Nikolay Kindra, Vladimir Osipov, Sergey Data Brief Energy This article provides the dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical CO(2) cycle by the thermodynamic optimization procedure employed in the research article “Thermodynamic optimization and equipment development for a high efficient fossil fuel power plant with zero emissions” (Rogalev et al., 2019) [1]. The performance characteristics of the different air separation units, which were used for the investigation of an influence of the produced oxygen purity on power consumption, are presented. Moreover, the methodology for the evaluation of gross and net efficiency is described. The working fluid parameters and performance characteristics are subdivided into several tables differing from each other by the values of initial pressure. Elsevier 2019-10-19 /pmc/articles/PMC6838369/ /pubmed/31720334 http://dx.doi.org/10.1016/j.dib.2019.104682 Text en © 2019 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
Rogalev, Andrey
Rogalev, Nikolay
Kindra, Vladimir
Osipov, Sergey
Dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical CO(2) cycle
title Dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical CO(2) cycle
title_full Dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical CO(2) cycle
title_fullStr Dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical CO(2) cycle
title_full_unstemmed Dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical CO(2) cycle
title_short Dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical CO(2) cycle
title_sort dataset of working fluid parameters and performance characteristics for the oxy-fuel, supercritical co(2) cycle
topic Energy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838369/
https://www.ncbi.nlm.nih.gov/pubmed/31720334
http://dx.doi.org/10.1016/j.dib.2019.104682
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