Optimization of a cavern‐based compressed air energy storage facility with an efficient adaptive genetic algorithm

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
Mehdi Ebrahimi ◽  
David S‐K. Ting ◽  
Rupp Carriveau ◽  
Andrew McGillis ◽  
Davin Young
Keyword(s):  
Genetic Algorithm ◽  
Energy Storage ◽  
Compressed Air ◽  
Adaptive Genetic Algorithm ◽  
Storage Facility ◽  
Compressed Air Energy Storage

Conventional and advanced exergy analysis of a grid connected underwater compressed air energy storage facility

2019 ◽  
Vol 242 ◽  
pp. 1198-1208 ◽  
Author(s):  
Mehdi Ebrahimi ◽  
Rupp Carriveau ◽  
David S.-K. Ting ◽  
Andrew McGillis
Keyword(s):  
Energy Storage ◽  
Exergy Analysis ◽  
Compressed Air ◽  
Storage Facility ◽  
Compressed Air Energy Storage

scholarly journals Fuel Flexibility in Compressed Air Energy Storage Plants

1985 ◽  
Author(s):  
B. Basler ◽  
P. Zaugg
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Operating Cost ◽  
Operating Experience ◽  
Compressed Air ◽  
Storage Facility ◽  
Compressed Air Energy Storage ◽  
Fuel Flexibility ◽  
Charging Energy ◽  
Storage Processes

The pneumatic storage of energy is one of the few economical storage processes which can be considered at present for large quantities of energy. Present Compressed Air Energy Storage (CAES) plants are designed on the basis of construction and operating experience at Huntorf, the world’s first air-storage plant [1]. That means, that the turbine of the plant is equipped with combustors to increase the power output during turbine operation, and to reduce the volume and cost of the air storage facility as well as the quantity and cost of the required charging energy [2]. In this paper it is explained that the Brown Boveri CAES turbomachinery is able to burn a variety of different fuels. This opens in many cases the possibility to choose a cheaper or better available fuel to reduce furthermore the operating cost of this kind of power plant.

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