Energy Storage Science and Technology ›› 2024, Vol. 13 ›› Issue (6): 1929-1939.doi: 10.19799/j.cnki.2095-4239.2024.0045

• Energy Storage System and Engineering • Previous Articles     Next Articles

Research on optimal configuration for integrated energy system with liquid air energy storage combined heat and power supply

Siyuan HUANG1(), Chen WANG2(), Ting LIANG3, Zhu JIANG1, Jiajing LI2, Xiaohui SHE2, Xiaosong ZHANG1()   

  1. 1.School of Energy and Environment, Southeast University, Nanjing 211189, Jiangsu, China
    2.Cryogenic Energy Conversion, Storage and Transportation Centre, Shijiazhuang Tiedao University, Shijiazhuang 050043, Hebei, China
    3.Birmingham Centre for Energy Storage, University of Birmingham, Birmingham B15 2TT, UK
  • Received:2024-01-12 Revised:2024-01-22 Online:2024-06-28 Published:2024-06-26
  • Contact: Chen WANG, Xiaosong ZHANG E-mail:hsy000125@163.com;wangchen@stdu.edu.cn;rachpe@seu.edu.cn

Abstract:

Liquid air energy storage (LAES) has significant potential for use in multi-energy coupled integrated energy systems. Appropriately configuring energy storage capacity can enhance the low-carbon and economic operation of these systems. However, current research has yet to fully account for the combined heat and power supply characteristics of LAES. Therefore, this study proposes a configuration optimization method for a combined heat and power supply LAES-coupled integrated energy system. Based on the foundational architecture of the integrated energy system, we develop heat and power co-supply and constraint models for system components. The system's total annual cost, encompassing the initial equipment investment, operation and maintenance costs, energy purchase expenses, and penalties for solar and wind energy abandonment, serves as the objective function. Considering the constraints of system energy balance, equipment capacity, equipment output, interaction with external networks, and energy storage constraints, we establish an optimal configuration model. This model is solved using the mixed-integer linear programming method. A real-world park scenario is used to set up five different scenarios for comparative analysis of optimization results. The simulation findings demonstrate that an integrated energy system incorporating LAES heat and power co-supply can effectively meet real-time system energy demands while achieving better economic and environmental outcomes. Compared with traditional sub-supply systems, the integrated approach reduces total costs by 37.1% and carbon emissions by 71.50%. It also offers substantial benefits in terms of lowering carbon emissions and minimizing wind and solar energy waste. This study provides a theoretical basis for the effectiveness of the optimization model for a heat and power co-supply LAES-coupled system and promotes the commercial application of LAES in integrated energy systems.

Key words: liquid air energy storage, integrated energy system, combined heat and power supply, allocation optimization, mixed integer linear programming

CLC Number: