Liquid air energy storage (LAES) with packed bed cold thermal storage – From component to system level performance through dynamic modelling

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@article{5da9470358ca4e0599ccf6a5dc63cb1f,
title = "Liquid air energy storage (LAES) with packed bed cold thermal storage – From component to system level performance through dynamic modelling",
abstract = "Energy storage is more important today than ever. It has a key role in storing intermittent electricity from renewable sources – wind, solar and waves – enabling the decarbonisation of the electricity sector. Liquid air energy storage (LAES) is a novel technology for grid scale energy storage in the form of liquid air with the potential to overcome the drawbacks of pumped-hydro and compressed air storage. In this paper we address the performance of next generation LAES standalone plants. Starting our experience with LAES pilot plant at Birmingham (UK), we developed for the first time a validated model to address the dynamic performance of LAES. The model allows us to understand the relationship between component and system level performance through dynamic modelling. We found that the temporary storage of cold thermal energy streams using packed beds improves efficiency of LAES by ∼50%. However, due to dynamic cycling charge/discharge, packed beds can bring an undesired 25% increase in the energy expenditure needed to liquefy air. In summary, this work points outs that (a) dynamics of LAES should not be neglected; (b) novel design for cold thermal storage are needed and (c) linking component and system level performance is crucial for energy storage.",
keywords = "Electrical storage, Thermal energy storage, Sensible storage, Packed bed, Renewable energy, Cryogenic engineering",
author = "Adriano Sciacovelli and Yulong Ding and Andrea Vecchi",
year = "2017",
month = mar,
day = "15",
doi = "10.1016/j.apenergy.2016.12.118",
language = "English",
volume = "190",
pages = "84--98",
journal = "Applied Energy",
issn = "0306-2619",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Liquid air energy storage (LAES) with packed bed cold thermal storage – From component to system level performance through dynamic modelling

AU - Sciacovelli, Adriano

AU - Ding, Yulong

AU - Vecchi, Andrea

PY - 2017/3/15

Y1 - 2017/3/15

N2 - Energy storage is more important today than ever. It has a key role in storing intermittent electricity from renewable sources – wind, solar and waves – enabling the decarbonisation of the electricity sector. Liquid air energy storage (LAES) is a novel technology for grid scale energy storage in the form of liquid air with the potential to overcome the drawbacks of pumped-hydro and compressed air storage. In this paper we address the performance of next generation LAES standalone plants. Starting our experience with LAES pilot plant at Birmingham (UK), we developed for the first time a validated model to address the dynamic performance of LAES. The model allows us to understand the relationship between component and system level performance through dynamic modelling. We found that the temporary storage of cold thermal energy streams using packed beds improves efficiency of LAES by ∼50%. However, due to dynamic cycling charge/discharge, packed beds can bring an undesired 25% increase in the energy expenditure needed to liquefy air. In summary, this work points outs that (a) dynamics of LAES should not be neglected; (b) novel design for cold thermal storage are needed and (c) linking component and system level performance is crucial for energy storage.

AB - Energy storage is more important today than ever. It has a key role in storing intermittent electricity from renewable sources – wind, solar and waves – enabling the decarbonisation of the electricity sector. Liquid air energy storage (LAES) is a novel technology for grid scale energy storage in the form of liquid air with the potential to overcome the drawbacks of pumped-hydro and compressed air storage. In this paper we address the performance of next generation LAES standalone plants. Starting our experience with LAES pilot plant at Birmingham (UK), we developed for the first time a validated model to address the dynamic performance of LAES. The model allows us to understand the relationship between component and system level performance through dynamic modelling. We found that the temporary storage of cold thermal energy streams using packed beds improves efficiency of LAES by ∼50%. However, due to dynamic cycling charge/discharge, packed beds can bring an undesired 25% increase in the energy expenditure needed to liquefy air. In summary, this work points outs that (a) dynamics of LAES should not be neglected; (b) novel design for cold thermal storage are needed and (c) linking component and system level performance is crucial for energy storage.

KW - Electrical storage

KW - Thermal energy storage

KW - Sensible storage

KW - Packed bed

KW - Renewable energy

KW - Cryogenic engineering

U2 - 10.1016/j.apenergy.2016.12.118

DO - 10.1016/j.apenergy.2016.12.118

M3 - Article

VL - 190

SP - 84

EP - 98

JO - Applied Energy

JF - Applied Energy

SN - 0306-2619

ER -