Off-Design Modelling of ORC Turbines for Geothermal Application

In this study, turbine modelling of a geothermal sourced organic Rankine cycle (ORC) power plant is aimed. Thermodynamic model of the plant is constructed with the help of design and off-design plant data from an existing two-cycle power plant in southwestern Anatolia. Utilizing statistical analysis...

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Autores principales:	Ungar Pietro, Özcan Zekeriya, Manfrida Giampaolo, Ekici Özgür, Talluri Lorenzo
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	turbine curve modelling orc statistical model plant variables Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/a144bd4d4b96431abb3828443b0bad0f
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id	oai:doaj.org-article:a144bd4d4b96431abb3828443b0bad0f
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spelling	oai:doaj.org-article:a144bd4d4b96431abb3828443b0bad0f2021-11-08T15:18:54ZOff-Design Modelling of ORC Turbines for Geothermal Application2267-124210.1051/e3sconf/202131211015https://doaj.org/article/a144bd4d4b96431abb3828443b0bad0f2021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/88/e3sconf_ati2021_11015.pdfhttps://doaj.org/toc/2267-1242In this study, turbine modelling of a geothermal sourced organic Rankine cycle (ORC) power plant is aimed. Thermodynamic model of the plant is constructed with the help of design and off-design plant data from an existing two-cycle power plant in southwestern Anatolia. Utilizing statistical analysis tools such as maximum likelihood estimation and probability distribution, plant variables are obtained within their standard deviations. Stodola curves and probability calculations demonstrate that both turbines are most likely to have two stages. Average losses are 2.3 MW and 1.2 MW from Turbine-I and Turbine-II respectively throughout the different seasons. After the determination of losses, overall turbine efficiencies demonstrate a reverse trend with increasing reduced mass flow rate. This may be associated with the increased choking of the turbine. Correlations estimate rather fixed efficiency values at off-design conditions (84% for Turbine-I and 77% for Turbine-II); that is an expected outcome since these correlations are influenced mainly by the design isentropic efficiency, which is a constant value. On the other hand, these correlations are most likely to be proposed for non-choking conditions which are invalid for off-design conditions of existing ORC turbines. Datapoint dispersion in Turbine-II does not demonstrate a strong correlation with physical constraints such as -pressure ratio and reduced mass flow rate- as it does for Turbine-I; this phenomenon may need further attention for future work.Ungar PietroÖzcan ZekeriyaManfrida GiampaoloEkici ÖzgürTalluri LorenzoEDP Sciencesarticleturbine curve modellingorcstatistical modelplant variablesEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 312, p 11015 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	turbine curve modelling orc statistical model plant variables Environmental sciences GE1-350
spellingShingle	turbine curve modelling orc statistical model plant variables Environmental sciences GE1-350 Ungar Pietro Özcan Zekeriya Manfrida Giampaolo Ekici Özgür Talluri Lorenzo Off-Design Modelling of ORC Turbines for Geothermal Application
description	In this study, turbine modelling of a geothermal sourced organic Rankine cycle (ORC) power plant is aimed. Thermodynamic model of the plant is constructed with the help of design and off-design plant data from an existing two-cycle power plant in southwestern Anatolia. Utilizing statistical analysis tools such as maximum likelihood estimation and probability distribution, plant variables are obtained within their standard deviations. Stodola curves and probability calculations demonstrate that both turbines are most likely to have two stages. Average losses are 2.3 MW and 1.2 MW from Turbine-I and Turbine-II respectively throughout the different seasons. After the determination of losses, overall turbine efficiencies demonstrate a reverse trend with increasing reduced mass flow rate. This may be associated with the increased choking of the turbine. Correlations estimate rather fixed efficiency values at off-design conditions (84% for Turbine-I and 77% for Turbine-II); that is an expected outcome since these correlations are influenced mainly by the design isentropic efficiency, which is a constant value. On the other hand, these correlations are most likely to be proposed for non-choking conditions which are invalid for off-design conditions of existing ORC turbines. Datapoint dispersion in Turbine-II does not demonstrate a strong correlation with physical constraints such as -pressure ratio and reduced mass flow rate- as it does for Turbine-I; this phenomenon may need further attention for future work.
format	article
author	Ungar Pietro Özcan Zekeriya Manfrida Giampaolo Ekici Özgür Talluri Lorenzo
author_facet	Ungar Pietro Özcan Zekeriya Manfrida Giampaolo Ekici Özgür Talluri Lorenzo
author_sort	Ungar Pietro
title	Off-Design Modelling of ORC Turbines for Geothermal Application
title_short	Off-Design Modelling of ORC Turbines for Geothermal Application
title_full	Off-Design Modelling of ORC Turbines for Geothermal Application
title_fullStr	Off-Design Modelling of ORC Turbines for Geothermal Application
title_full_unstemmed	Off-Design Modelling of ORC Turbines for Geothermal Application
title_sort	off-design modelling of orc turbines for geothermal application
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/a144bd4d4b96431abb3828443b0bad0f
work_keys_str_mv	AT ungarpietro offdesignmodellingoforcturbinesforgeothermalapplication AT ozcanzekeriya offdesignmodellingoforcturbinesforgeothermalapplication AT manfridagiampaolo offdesignmodellingoforcturbinesforgeothermalapplication AT ekiciozgur offdesignmodellingoforcturbinesforgeothermalapplication AT tallurilorenzo offdesignmodellingoforcturbinesforgeothermalapplication
_version_	1718441975785455616

Off-Design Modelling of ORC Turbines for Geothermal Application

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