2020
DOI: 10.1016/j.renene.2019.11.087
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Thermodynamic and economic evaluation of an innovative electricity storage system based on thermal energy storage

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Cited by 6 publications
(2 citation statements)
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“…Rankine cycles are a preferred solution for this, since compared to Brayton cycles they can reach similar thermal efficiencies at lower temperatures. Attonaty et al [170] presented a hybrid combined-cycle concept which uses fossil-fuel firing to increase the temperature of the air exiting the electrically charged thermal storage system. PHP based on Rankine cycles for discharging can profit from the experiences gained in CSP applications: a solar-tower system with an integrated two-tank molten-salt store can be transformed into a PHP plant by replacing the solar receiver by a component which heats the molten salt electrically; achieving estimated round-trip efficiencies in the range of 40% for systems exceeding a nominal power of 20 MWe.…”
Section: Electrical Heating and Heat-to-powermentioning
confidence: 99%
“…Rankine cycles are a preferred solution for this, since compared to Brayton cycles they can reach similar thermal efficiencies at lower temperatures. Attonaty et al [170] presented a hybrid combined-cycle concept which uses fossil-fuel firing to increase the temperature of the air exiting the electrically charged thermal storage system. PHP based on Rankine cycles for discharging can profit from the experiences gained in CSP applications: a solar-tower system with an integrated two-tank molten-salt store can be transformed into a PHP plant by replacing the solar receiver by a component which heats the molten salt electrically; achieving estimated round-trip efficiencies in the range of 40% for systems exceeding a nominal power of 20 MWe.…”
Section: Electrical Heating and Heat-to-powermentioning
confidence: 99%
“…The studies available in the literature are mostly focused on the analysis of either a solar thermal system with a single fixed technology, where the goal is to optimize a single component and its operational conditions or find the best size for a specific application [9,12,54,55]. Multi-objective optimization has been defined as finding a vector of decision variables while minimizing or maximizing different objective functions, given several constraints [56].…”
Section: Optimization Modelmentioning
confidence: 99%