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A methodology for techno-economic and operation strategy optimisation of micro gas turbine-based solar powered dish-engine systems.

Authors :
Ghavami, Mohsen
Al-Zaili, Jafar
Sayma, Abdulnaser I.
Source :
Energy. Jul2022, Vol. 251, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

This paper focuses on the optimisation of small-scale micro gas turbines totally powered by the concentrated solar power to generate electricity in the range of 5–30kWe. The objective of this paper is to investigate of the potential of such systems for solar power generation at reasonable costs. The computational model uses a component-based approach for thermodynamic performance simulation and features an integrated economic model which allows for the evaluation of economic performance indicators including levelised cost of electricity. The integrated model is coupled to a genetic algorithm optimisation framework to find system designs with optimal techno-economic performance. Two cases of fixed 5kWe rated power and 5-30kWe systems are studied. The performance simulation considers the operation strategy and the safe operation limits. A multi-objective optimisation is performed for each case to find trade-offs between the performance and cost of the system. The levelised cost of electricity and annual solar to electric efficiency are considered for comparison purposes. Results show that a levelised cost of electricity of about 170€/MWh can be achieved for a system installed in Italy. Lower cost of electricity as low as 85€/MWh could be achieved when considering economy of scale and locations with higher annual insolation. • A methodology to evaluate annual performance in real conditions is introduced. • Operation strategies considering system constraints and DNI variations are applied. • The optimised system improves solar efficiency by 5% with the same specific cost. • The optimal size of dish-MGT systems is 20–25kWe with LCOE of 170€/MWh for Italy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03605442
Volume :
251
Database :
Academic Search Index
Journal :
Energy
Publication Type :
Academic Journal
Accession number :
156895796
Full Text :
https://doi.org/10.1016/j.energy.2022.123873