Modelling and control of advanced adiabatic compressed air energy storage under power tracking mode considering off-design generating conditions

Energy ◽  
2021 ◽  
Vol 218 ◽  
pp. 119525
Author(s):  
Jiayu Bai ◽  
Feng Liu ◽  
Xiaodai Xue ◽  
Wei Wei ◽  
Laijun Chen ◽  
...  
2013 ◽  
Vol 448-453 ◽  
pp. 2786-2789 ◽  
Author(s):  
Jin Li ◽  
Chu Fu Li ◽  
Yan Xia Zhang ◽  
Hui Guo Yue

Nuclear plants are facing more and more peaking pressure, and combined operation with compressed air energy storage (CAES) systems is an effective approach to improve its peaking capacity. This work first simulates and conducts the exergy analysis for the CAES system. The results show that exergy efficiency of the CAES system is about 51.7%, as well as the exergy loss are primary in the fuel combustion and compressed air cooling processes, accounted for 25.4% and 11.3% of total exergy, respectively. Subsequently, three combined operation modes between CAES system and nuclear power plants for power grid peaking are investigated, which shows that three section tracking mode and incomplete tracking mode can achieve the balance between peaking effects and peaking cost.


Author(s):  
Mohsen Saadat ◽  
Perry Y. Li

The key component of Compressed Air Energy Storage (CAES) system is an air compressor/expander. The roundtrip efficiency of this energy storage technology depends greatly on the efficiency of the air compressor/expander. There is a trade off between the thermal efficiency and power density of this component. Different ideas and approaches were introduced and studied in the previous works to improve this trade off by enhancing the heat transfer between air and its environment. In the present work, a combination of optimal compression/expansion rate, optimal chamber shape and optimal heat exchanger material distribution in the chamber is considered to maximize the power density of a compression/expansion chamber for a given desired efficiency. Results show that the power density can be improved by more than 20 folds if the optimal combination of flow rate, shape and porosity are used together.


Energy ◽  
2021 ◽  
Vol 221 ◽  
pp. 119902
Author(s):  
Amir Reza Razmi ◽  
M. Soltani ◽  
Armin Ardehali ◽  
Kobra Gharali ◽  
M.B. Dusseault ◽  
...  

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