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Título
Thermo-economic and sensitivity analysis of a central tower hybrid Brayton solar power plant
Autor(es)
Materia
Thermo-solar hybrid power plants
Overall plant model
Thermo-economic analysis
Sensitivity of levelized cost of electricity
Subsystems integration
Clasificación UNESCO
2213 Termodinámica
Fecha de publicación
2021
Editor
Elsevier
Resumen
[EN]A hybrid central tower thermo-solar plant working with a gas turbine is simulated by means of an in-house
developed model and software. The model considers the integration of all plant subsystems. The calculation
of the heliostat solar field efficiency includes the main losses factors as blocking, shadowing, attenuation,
interception, and cosine effect. The simulation considers a Brayton cycle for the power unit with irreversibilities
in the compressor and turbine, and pressure drops in the heat absorption and extraction processes. A combustion
chamber burning natural gas ensures an approximately constant power output. The model is flexible and precise.
At the same time it is fast enough to perform sensitivity studies on the efficiency of any subsystem and the overall
plant. Thus, it allows for performing a thermo-economic analysis of the plant checking the influence of the main
plant design parameters. The focal objective is to analyze the importance on the levelized cost of electricity
(LCoE) of the key plant design parameters. The direct influence of parameters from the heliostat field and
receiver (as tower height, distance to the first row of heliostats, heliostats size, receiver size and heat losses, etc.)
on final LCoE is surveyed. Similarly, parameters from the turbine as pressure ratio, turbine inlet temperature,
influence of recuperation and others, are also analyzed. The dimensions of the plant are taken from SOLUGAS
prototype near Seville, Spain, although another location with quite different solar conditions in Spain is also
considered. LCoE values predicted are about 158 USD/MWh. The analysis concludes that among several parameters
surveyed, two of them are key in LCoE predicted values: turbine inlet temperature and solar receiver
aperture size.
URI
ISSN
1359-4311
DOI
10.1016/j.applthermaleng.2020.116454
Versión del editor
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- GIOETFE. Artículos [53]