A novel optimization strategy for designing cryogenic energy storage systems

Liquid Air Energy Storage offers several advantages over other energy storage systems, including high energy density, scalability, cost-competitiveness, and non-geographical constraints. This study develops a computational tool for optimizing such systems. A deterministic, non-linear mathematical mo...

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Vydáno v:	Energy (Oxford) Ročník 332; s. 136490
Hlavní autoři:	Manassaldi, Juan I., Incer-Valverde, Jimena, Morosuk, Tatiana, Mussati, Miguel C., Mussati, Sergio F.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 30.09.2025
Témata:	Adiabatic cryogenic energy storage Cost Exergy NLP mathematical programming Simultaneous optimization Solution strategy Simultaneous optimization NLP mathematical programming Solution strategy Exergy Cost Adiabatic cryogenic energy storage
ISSN:	0360-5442
On-line přístup:	Získat plný text
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