Optimal strategy in integrated energy system combining liquid air storage and waste heat utilization in power system

Wang, Yankai; Cai, Bingzi; Luo, Zhenhua; Tang, Ye; Shi, Kefan; Huang, Kailong; Ye, Qiuxiao; Chen, Xiaoxin; Cao, Yuan; Zhou, Xinyao

doi:10.24200/sci.2025.64604.9031

Optimal strategy in integrated energy system combining liquid air storage and waste heat utilization in power system

Articles in Press

Document Type : Research Article

Authors

yankai wang ¹

bingzi cai ¹

zhenhua luo ¹

ye tang ¹

kefan shi ¹

kailong huang ¹

qiuxiao ye ¹

xiaoxin chen ¹

yuan cao ²

Xinyao Zhou ²

¹ Huizhou Power Supply Bureau, Guangdong Power Grid Corporation

² School of Automation, Central South University, Changsha, 410083, China

10.24200/sci.2025.64604.9031

Abstract

To achieve comprehensive energy utilization and economical operation of the system, an optimization operation strategy for a small-scale distillation plant integrated energy system (IES) is proposed in this paper. The system integrates liquid air energy storage sub-system (LAES), thermal energy storage sub-system (TES), and PV modules for the steel mill. The innovation of this work lies in the application of Information Gap Decision Theory (IGDT) to manage uncertainties in waste heat availability, enabling robust energy scheduling across risk-neutral, risk-averse, and risk-seeking scenarios. The paper investigated the impacts of robustness and opportunity radius on the system operating cost and schedule of LAES. The IGDT-based strategy proved most cost-effective, lowering total operating costs to $29,295, outperforming MOGWOA and POA, which yielded $31,748 and $31,657, respectively. The analysis also highlighted that risk awareness critically influences system costs. Specifically, in the risk-averse scenario, increasing the robustness radius from 0.0416 to 0.3279 raised costs from $30,090 to $39,534, while the risk-seeking approach offered a slight reduction in opportunity cost. These results confirm the effectiveness of the IGDT method and underscore its potential in optimizing IES operations under uncertainty.

Keywords

Integrated energy system

Liquid air energy storage

Waste heat utilization

Information gap decision theory

Scheduling optimization

Subjects