Study on Optimization of pressure ratio distribution in multistage compressed air energy storage system

被引：0

作者：

Chen, Shang ^{[1
]}

Zhu, Tong ^{[1
]}

Zhang, Huayu ^{[1
]}

机构：

[1] Tongji Univ, Sch Mech & Energy Engn, Shanghai 201804, Peoples R China

来源：

PROCEEDINGS OF THE ASME 12TH INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, 2018 | 2018年

关键词：

Compressed Air Energy Storage; Heat Exchanger; Multi-compression; CAES; SIMULATION; POWER;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Compressed air energy storage is an effective energy storage technology to solve the instability of wind power in distributed energy resources. In this paper, a multistage compressed air energy storage system optimization model is constructed based on the energy conservation equation. Then the system is optimized by differential evolution to improve the system efficiency. Optimal pressure ratios are proposed to distribute the pressures of compressors and expanders. The impact of pressure ratio distribution curve on the system energy efficiency suggests that the change curve of the characteristics vary in different heat exchanger performance. Results show that the change of thermal transfer reactor performance leads to the variety of optimal distribution pressure ratio and energy efficiency of the system. In addition, the differential ratio distribution factor can be effective on the pressure ratio of reasonable allocation. System efficiency optimization results increased by about 1% compared mean value.

引用

页数：8

共 17 条

[1]

Adamek F, 2008, 2008 IEEE ENERGY 2030 CONFERENCE, P357

[2] A review of materials, heat transfer and phase change problem formulation for latent heat thermal energy storage systems (LHTESS) [J].

Agyenim, Francis ;

Hewitt, Neil ;

Eames, Philip ;

Smyth, Mervyn .

RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2010, 14 (02) :615-628

[3] Environmental impacts of balancing offshore wind power with compressed air energy storage (CAES) [J].

Bouman, Evert A. ;

Oberg, Martha M. ;

Hertwich, Edgar G. .

ENERGY, 2016, 95 :91-98

[4] Controllable and affordable utility-scale electricity from intermittent wind resources and compressed air energy storage (CAES) [J].

Cavallo, Alfred .

ENERGY, 2007, 32 (02) :120-127

[5] The value of compressed air energy storage in energy and reserve markets [J].

Drury, Easan ;

Denholm, Paul ;

Sioshansi, Ramteen .

ENERGY, 2011, 36 (08) :4959-4973

[6] A model to design and optimize multi-energy systems in buildings at the design concept stage [J].

Fabrizio, Enrico ;

Corrado, Vincenzo ;

Filippi, Marco .

RENEWABLE ENERGY, 2010, 35 (03) :644-655

[7] A stochastic self-scheduling program for compressed air energy storage (CAES) of renewable energy sources (RESs) based on a demand response mechanism [J].

Ghalelou, Afshin Najafi ;

Fakhri, Alireza Pashaei ;

Nojavan, Sayyad ;

Majidi, Majid ;

Hatami, Hojat .

ENERGY CONVERSION AND MANAGEMENT, 2016, 120 :388-396

[8] A Thermodynamic Analysis of Multistage Adiabatic CAES [J].

Grazzini, Giuseppe ;

Milazzo, Adriano .

PROCEEDINGS OF THE IEEE, 2012, 100 (02) :461-472

[9] Simulation and analysis of different adiabatic Compressed Air Energy Storage plant configurations [J].

Hartmann, Niklas ;

Voehringer, O. ;

Kruck, C. ;

Eltrop, L. .

APPLIED ENERGY, 2012, 93 :541-548

[10] Green solution for power generation by adoption of adiabatic CAES system [J].

Jubeh, Naser M. ;

Najjar, Yousef S. H. .

APPLIED THERMAL ENGINEERING, 2012, 44 :85-89

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