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Bachelor thesis . 2017
License: CC BY NC ND
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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2017
License: CC BY NC ND
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Claim

Simulation and optimization of an Organic Rankine Cycle

descriptionPublicationkeyboard_double_arrow_right Bachelor thesis 01 Jan 2017 Spain English
Authors: Rovira Coll, Xènia;

handle: 2445/115120

Simulation and optimization of an Organic Rankine Cycle

Abstract

An Organic Rankine Cycle is an ideal model that describes power cycles processes that have a low temperature heat source such as biomass, solar energy or waste heat from conventional power plants. This kind of cycles can be modelled and simulated numerically using simple programming languages and specific libraries that contain essential information about phase transition and different properties for a great variety of substances. The aim of this project is to simulate numerically an ORC using Python 2.7 and the library Coolprop, find out how the power produced and the efficiency vary depending on different variables, and finally try to optimize it with some environmental conditions fixed.

Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2017, Tutor: José Miguel Asensi López

Country
Spain
Related Organizations
Keywords

Fluid dynamics, Dinàmica de fluids, Simulació per ordinador, Bachelor's theses, Treballs de fi de grau, Computer simulation

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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!
0
Average
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Average