scholarly journals Computer Aided Optimal Design of Compressed Air Energy Storage Systems

1980 ◽  
Vol 102 (3) ◽  
pp. 437-445 ◽  
Author(s):  
F. W. Ahrens ◽  
A. Sharma ◽  
K. M. Ragsdell

An automated procedure for the design of Compressed Air Energy Storage (CAES) systems is presented. The procedure relies upon modern nonlinear programming algorithms, decomposition theory, and numerical models of the various system components. Two modern optimization methods are employed; BIAS, a Method of Multipliers code and OPT, a Generalized Reduced Gradient code. The procedure is demonstrated by the design of a CAES facility employing the Media, Illinois Galesville aquifer as the reservoir. The methods employed produced significant reduction in capital and operating cost, and in number of aquifer wells required.

Author(s):  
B. Basler ◽  
P. Zaugg

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.


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

Energy ◽  
2021 ◽  
pp. 121232
Author(s):  
Dechang Yang ◽  
Ming Wang ◽  
Ruiqi Yang ◽  
Yingying Zheng ◽  
Hrvoje Pandzic

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4054 ◽  
Author(s):  
Youssef Benchaabane ◽  
Rosa Elvira Silva ◽  
Hussein Ibrahim ◽  
Adrian Ilinca ◽  
Ambrish Chandra ◽  
...  

Remote and isolated communities in Canada experience gaps in access to stable energy sources and must rely on diesel generators for heat and electricity. However, the cost and environmental impact resulting from the use of fossil fuels, especially in local energy production, heating, industrial processes and transportation are compelling reasons to support the development and deployment of renewable energy hybrid systems. This paper presents a computer model for economic analysis and risk assessment of a wind–diesel hybrid system with compressed air energy storage. The proposed model is developed from the point of view of the project investor and it includes technical, financial, risk and environmental analysis. Robustness is evaluated through sensitivity analysis. The model has been validated by comparing the results of a wind–diesel case study against those obtained using HOMER (National Renewable Energy Laboratory, Golden, CO, United States) and RETScreen (Natural Resources Canada, Government of Canada, Canada) software. The impact on economic performance of adding energy storage system in a wind–diesel hybrid system has been discussed. The obtained results demonstrate the feasibility of such hybrid system as a suitable power generator in terms of high net present value and internal rate of return, low cost of energy, as well as low risk assessment. In addition, the environmental impact is positive since less fuel is used.


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