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Mathematical and Computer Modelling
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Mathematical and Computer Modelling
Article . 2013 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
DBLP
Article . 2021
Data sources: DBLP
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Modeling and simulation of the production process of electrical energy in a geothermal power plant

Authors: Eduardo J. Sanchez; Carlos F. Torres; Pablo Guillén; Germán Larrazábal;

Modeling and simulation of the production process of electrical energy in a geothermal power plant

Abstract

Abstract In this work, the study, modeling and simulation of custom designed geothermal power plant production processes are presented. A model based on the thermodynamical steam power cycles theory is developed using directed graphs, in order to consider different types of geothermal power plant structural models to be studied. The model includes steady state forms of the thermodynamical mass and energy conservation laws for each one of the considered equipments, in order to study the mass and energy interactions among them. A computational implementation of the IAPWS-IF97 formulation for the calculation, also by steady state forms, of the physical properties of the water is also presented, thus providing a reliable and accurate method to calculate them in execution time. The analysis of both topological and thermodynamical feasibility of the proposed input models is also presented, as well as the analysis of the efficiency in terms of both generated and invested heat and power. The results are compared against reference results in the literature; these are presented in relation to the proposed models, by reporting the variations of the mentioned water properties and by stating the results of the production processes in terms of both mechanical power generation, and efficiency of the proposed structural models.

  • BIP!
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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
hybrid