Multi-mode operation of a Liquid Air Energy Storage (LAES) plant providing energy arbitrage and reserve services – Analysis of optimal scheduling and sizing through MILP modelling with integrated thermodynamic performance

Andrea Vecchi, James Naughton, Yongliang Li, Pierluigi Mancarella, Adriano Sciacovelli

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
218 Downloads (Pure)

Abstract

Energy storage competitiveness is ubiquitously associated with both its technical and economic performance. This work investigates such complex techno-economic interplay in the case of Liquid Air Energy Storage (LAES), with the aim to address the following key aspects: (i) LAES optimal scheduling and how this is affected by LAES thermodynamic performance (ii) the effect of LAES sizing on its profitability and performance (iii) overall techno-economic assessment of LAES multi-mode operation when providing energy and reserve services. To address these aspects, a Mixed Integer Linear Programming-based optimisation tool has been developed to simulate LAES operation throughout a year while including detailed thermodynamic constraints, thus allowing an accurate performance estimation. The results demonstrate that considering LAES thermodynamic performance in the optimisation ensures a feasible dispatch profile thus avoiding loss of revenues, especially for the multi-mode cases. However, while operation with arbitrage and a portfolio of reserve services is financially promising, it also deteriorates LAES roundtrip efficiency; therefore, a techno-economic balance should be sought. In terms of design, the possibility of independently sizing LAES charge and discharge power is key for tailoring the plant to the specific operating mode. Furthermore, storage energy capacities greater than 2–3 h do not significantly increase LAES profitability under the market conditions considered.
Original languageEnglish
Article number117500
JournalEnergy
Volume200
Early online date3 Apr 2020
DOIs
Publication statusPublished - 1 Jun 2020

Keywords

  • Energy storage
  • Liquid air energy storage
  • Mixed integer linear programming
  • Reserve services
  • Techno-economic assessment
  • Thermodynamic performance

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