scholarly journals Adaptive Hydraulic Potential Energy Transfer Technology and Its Application to Compressed Air Energy Storage

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1845 ◽  
Author(s):  
Hao Fu ◽  
Tong Jiang ◽  
Yan Cui ◽  
Bin Li
Keyword(s):  
Energy Transfer ◽  
Energy Storage ◽  
Potential Energy ◽  
Simulation Analysis ◽  
Optimal Operation ◽  
Compressed Air ◽  
Compressed Air Energy Storage ◽  
Efficient Operation ◽  
Water Conservancy ◽  
Low Efficiency

In recent years, Hydro-pneumatic cycling compressed air energy storage (HC-CAES) has become an important topic in compressed air energy storage (CAES) technology research. In HC-CAES, air is compressed by liquid and driven by electrical equipment when energy is stored, and then, liquid is used to drive the water conservancy equipment to generate electricity. In this study, adaptive hydraulic potential energy transfer technology is proposed to solve a series of problems in the HC-CAES system, including the high fluctuation range of gas potential energy, poor operating stability, low efficiency, and so on. Therefore, fluctuating potential energy can be stably transferred through the variable area hydraulic devices, which can be controlled with an on–off valve. The structure and operation scheme of the adaptive hydraulic potential energy transfer device used in the HC-CAES system are explained in detail; the device can provide a stable water head range for the highly efficient operation of water conservancy equipment. Moreover, an optimal operation scheme was determined through simulation analysis; a physical experiment platform was built to verify the feasibility of the design and stability of system operation.

Optimal operation scheduling of wind power integrated with compressed air energy storage (CAES)

2013 ◽  
Vol 51 ◽  
pp. 53-59 ◽  
Author(s):  
M. Abbaspour ◽  
M. Satkin ◽  
B. Mohammadi-Ivatloo ◽  
F. Hoseinzadeh Lotfi ◽  
Y. Noorollahi
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Optimal Operation ◽  
Compressed Air ◽  
Compressed Air Energy Storage ◽  
Operation Scheduling

Analysis of Shroud Cavity Leakage in a Radial Turbine for Optimal Operation in Compressed Air Energy Storage System

2020 ◽  
Vol 142 (7) ◽  
Author(s):  
Ziyi Shao ◽  
Wen Li ◽  
Xing Wang ◽  
Xuehui Zhang ◽  
Haisheng Chen
Keyword(s):  
High Pressure ◽  
Energy Storage ◽  
Storage System ◽  
Internal Flow ◽  
Energy Storage System ◽  
Optimal Operation ◽  
Compressed Air ◽  
Compressed Air Energy Storage ◽  
Rotating Speed ◽  
Radial Turbine

Abstract As an important energy generation device of the compressed air energy storage (CAES) system, the radial-inflow turbine with shrouded impeller is employed to avoid the leakage flow in the rotor, especially in the high-pressure stages. However, a lack of clarity in the leakage characteristics and their drivers still prevents a systematic approach to the efficient performance and proper design of the shrouded radial turbine. In the present work, the shroud cavity leakage of the shrouded radial turbine has been studied numerically. The physical quantity synergy is innovatively employed to research the internal flow field of the shroud cavity. It is found that the influence of high rotating speed on the seal leakage cannot be neglected, and the average reduced rate of seal leakage is found to be about 9.9% for the designed clearance. The leakage mass flow rate could be reduced by increasing the rotating speed or decreasing the seal clearance. The synergy angle is able to predict the flow resistance in shroud cavity very well. According to the volume-averaged synergy angle in the seal, the dimensionless seal clearance smaller than 1.5% in the shrouded radial turbine is recommended. Compared with the seal clearance in other high-pressure shrouded turbomachines, the current recommended clearance should be within a reasonable field.

scholarly journals Computer Model for a Wind–Diesel Hybrid System with Compressed Air Energy Storage

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3542 ◽  
Author(s):  
Nicolas Martinez ◽  
Youssef Benchaabane ◽  
Rosa Elvira Silva ◽  
Adrian Ilinca ◽  
Hussein Ibrahim ◽  
...  
Keyword(s):  
Energy Storage ◽  
Hybrid System ◽  
Computer Model ◽  
Distributed Storage ◽  
System Optimization ◽  
Optimal Operation ◽  
Compressed Air ◽  
Energy Sources ◽  
Compressed Air Energy Storage ◽  
Diesel Generators

A hybrid system combines two or more energy sources as an integrated unit to generate electricity. The nature of the sources associated varies between renewable and/or non-renewable energies. Such systems are becoming popular as stand-alone power systems to provide electricity, especially in off grid remote areas where diesel generators act as primary energy source. Wind–diesel systems are among the preferred solutions for new installations, as well as the upgrade of existing ones. However, efforts to address technical challenges towards energy transformation for sustainable development are multiple. The use of energy storage systems is a solution to reduce energy costs and environmental impacts. Indeed, efficient and distributed storage not only allows the electricity grid greater flexibility in the face of demand variations and greater robustness thanks to the decentralization of energy sources, it also offers a solution to increase the use of intermittent renewables in the energy mix. Among different technologies for electrical energy storage, compressed air energy storage is proven to achieve high wind energy penetration and optimal operation of diesel generators. This paper presents a computer model for performance evaluation of a wind–diesel hybrid system with compressed air energy storage. The model has been validated by comparing the results of a wind–diesel case study against those obtained using HOMER software (National Renewable Energy Laboratory, Golden, CO, United States). Different operation modes of the hybrid system are then explored. The impact of hybridization on time and frequency of operation for each power source, fuel consumption and energy dissipation has been determined. Recommendations are made on the choice of key parameters for system optimization.

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