Article | Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019 | Transient modelling and simulation of a double-stage Organic Rankine Cycle Linköping University Electronic Press Conference Proceedings
Göm menyn

Title:
Transient modelling and simulation of a double-stage Organic Rankine Cycle
Author:
Tim Eller: Institute of Engineering Thermodynamics and Transport Processes (LTTT), Center of Energy Technology (ZET), University of Bayreuth, 95440 Bayreuth, German Florian Heberle: Institute of Engineering Thermodynamics and Transport Processes (LTTT), Center of Energy Technology (ZET), University of Bayreuth, 95440 Bayreuth, German Dieter Brüggemann: Institute of Engineering Thermodynamics and Transport Processes (LTTT), Center of Energy Technology (ZET), University of Bayreuth, 95440 Bayreuth, German
DOI:
10.3384/ecp19157679
Download:
Full text (pdf)
Year:
2019
Conference:
Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019
Issue:
157
Article no.:
070
Pages:
8
No. of pages:
679-686
Publication type:
Abstract and Fulltext
Published:
2019-02-01
ISBN:
978-91-7685-122-7
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


Export in BibTex, RIS or text

Geothermal energy is a renewable resource for power and heat production. For low enthalpy reservoirs the geothermal energy is usually converted to electricity by an Organic Rankine Cycle (ORC). The efficiency and profitability of these power plants can be increased by combined heat and power production. In this study, a dynamic model of a double-stage ORC power plant is developed to investigate and evaluate geothermal combined heat and power plant concepts. The simulation model is validated by operational data of a real geothermal power plant in the South of Germany. For the validation, the relative root mean squared error (RRMSE) is used. In addition, the coefficient of correlation is calculated to evaluate the dynamic behavior. The results show that the electrical power output of the power plant can be predicted by an RRMSE of 3.9 %. The coefficient of correlation is 0.99 and shows that the model is capable to predict the dynamic behavior of the power plant.

Keywords: transient simulation, Organic Rankine Cycle, geothermal heat and power production

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019

Author:
Tim Eller, Florian Heberle, Dieter Brüggemann
Title:
Transient modelling and simulation of a double-stage Organic Rankine Cycle
DOI:
http://dx.doi.org/10.3384/ecp19157679
References:
No references available

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019

Author:
Tim Eller, Florian Heberle, Dieter Brüggemann
Title:
Transient modelling and simulation of a double-stage Organic Rankine Cycle
DOI:
https://doi.org10.3384/ecp19157679
Note: the following are taken directly from CrossRef
Citations:
No citations available at the moment


Responsible for this page: Peter Berkesand
Last updated: 2019-11-06