Optimal energy management of an underwater compressed air energy storage station using pumping systems

被引:41
|
作者
Maisonnave, Ocean [1 ,2 ]
Moreau, Luc [1 ]
Aubree, Rene [1 ,3 ]
Benkhoris, Mohamed-Fouad [1 ]
Neu, Thibault [2 ]
Guyomarc'h, David [2 ]
机构
[1] Univ Nantes, Inst Rech & Energie Elect Nantes Atlantique, 37 Blvd Univ, F-44602 St Nazaire, France
[2] SEGULA Technol, 1 Rue Charles Lindbergh, F-44340 Bouguenais, France
[3] Inst Catholique Arts & Metiers, 35 Ave Champ Manoeuvres, F-44470 Carquefou, France
关键词
Offshore CAES system; Marine energy management; Multi-pump system; Best efficiency point; Multi-physic system modelling; Variable speed control; THERMAL-ANALYSIS; INTEGRATION; CONVERTER; DESIGN; MODEL; MPPT;
D O I
10.1016/j.enconman.2018.04.007
中图分类号
O414.1 [热力学];
学科分类号
摘要
The paper is part of the development of a novel underwater isothermal Compressed Air Energy Storage (CAES) system. Compared to conventional CAES plant, the performances of this system only depend on the electrical energy required for a round-trip cycle; performances of each sub-system of the power conversion process takes part of the overall efficiency. Consequently, this work is focused on an optimal energy management of the electrical power conversion system driving the isothermal hydro-pneumatic mechanism enabling the air compression/expansion. After examining inherent characteristics of conversion components challenging the overall conversion efficiency, we propose an efficient platform layout based on the segmentation of the energy conversion multiplying power conversion systems with different power ranges. Then, we establish control laws required by the electrical multi-machines system in order to drive pumping systems closed to their best efficiency points. However, these laws subject the conversion platform to a transient and variable operating needing the design of robust controller structures. Finally, we develop a dynamic reversible modelling of the multi-physic conversion platform along with the control scheme. The layout is modelled on Matlab Simulink environment and the paper closes with simulation results. We evaluate the dynamic performances of the compressed air storage system in both storage and production mode. Moreover, the effectiveness of power segmentation for the grid integration of the proposed system is discussed.
引用
收藏
页码:771 / 782
页数:12
相关论文
共 50 条
  • [31] TURBO MACHINERY SYSTEMS FOR COMPRESSED AIR ENERGY-STORAGE
    BERMAN, PA
    MECHANICAL ENGINEERING, 1977, 99 (01) : 111 - 111
  • [32] Optimal energy conversion through performing compressed air systems
    Anglani, Nonna
    Bossi, Michele
    Quartarone, Giusi
    38TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2012), 2012, : 5388 - 5393
  • [33] Comparison of methods for discharging an isochoric compressed air tank in compressed air energy storage systems
    Kubala, Piotr
    Grybos, Dominik
    Markowski, Jan
    Leszczynski, Jacek
    EUROTHERM SEMINAR 118: HYDROGEN ENERGY TECHNOLOGIES, 2024, 2812
  • [34] Compressed air energy storage system
    Saruta, Hiroki
    Sato, Takashi
    Nakamichi, Ryo
    Toshima, Masatake
    Kubo, Yohei
    R and D: Research and Development Kobe Steel Engineering Reports, 2020, 70 (01): : 42 - 46
  • [35] COMPRESSED AIR ENERGY-STORAGE
    VOSBURGH, KG
    JOURNAL OF ENERGY, 1978, 2 (02): : 106 - 112
  • [36] The return of compressed air energy storage
    Patel, Sonal
    POWER, 2008, 152 (10) : 10 - +
  • [37] TRANSFER OF ENERGY BY STORAGE OF COMPRESSED AIR
    FLEURY, J
    INTERNATIONAL CHEMICAL ENGINEERING, 1976, 16 (02): : 308 - 315
  • [38] A hybrid energy storage system using compressed air and hydrogen as the energy carrier
    Bartela, Lukasz
    ENERGY, 2020, 196 (196)
  • [39] Optimal Energy Management of Railroad Electrical Systems with Renewable Energy and Energy Storage Systems
    Park, Seunghyun
    Salkuti, Surender Reddy
    SUSTAINABILITY, 2019, 11 (22)
  • [40] Multi-objective optimization of an underwater compressed air energy storage system using genetic algorithm
    Cheung, Brian C.
    Carriveau, Rupp
    Ting, David S. K.
    ENERGY, 2014, 74 : 396 - 404