scholarly journals Compressed Air Energy Storage Installation for Renewable Energy Generation

2019 ◽  
Vol 112 ◽  
pp. 02010
Author(s):  
Claudia Borzea ◽  
Iulian Vlăducă ◽  
Dan Ionescu ◽  
Valentin Petrescu ◽  
Filip Niculescu ◽  
...  

Compressed Air Energy Storage (CAES) installations are used for storing electrical power, under the form of potential energy from compressed air. The heat generated during compression can be stored to improve the efficiency of compression-expansion cycle. The solution presented consists of a 100 kW screw compressor driven by a 110 kW asynchronous three-phase motor. The compressor supplies air into vessels which store it until a high electrical energy demand arises. At that time, the compressed air is released into a 132 kW screw expander whose shaft spins a 132 kW asynchronous generator, producing electric power and supplying it into the electrical grid. Before expansion, the air must be preheated in order to avoid the freezing of expansion equipment. If the heat generated during compression is used for air preheating before expansion, the process is adiabatic. A demonstrative model of the installation is currently being developed, with the expander part being completed so far. The maximum power to be produced was calculated to be around 100 kW. During expander commissioning tests with air supply from a 250 kW high pressure compressor, a maximum generated power of 49.7 kW was attained, expected to be higher when releasing air from the reservoirs.

Entropy ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. 764
Author(s):  
Xiaotao Chen ◽  
Xiaodai Xue ◽  
Yang Si ◽  
Chengkui Liu ◽  
Laijun Chen ◽  
...  

The comprehensive utilization technology of combined cooling, heating and power (CCHP) systems is the leading edge of renewable and sustainable energy research. In this paper, we propose a novel CCHP system based on a hybrid trigenerative compressed air energy storage system (HT-CAES), which can meet various forms of energy demand. A comprehensive thermodynamic model of the HT-CAES has been carried out, and a thermodynamic performance analysis with energy and exergy methods has been done. Furthermore, a sensitivity analysis and assessment capacity for CHP is investigated by the critical parameters effected on the performance of the HT-CAES. The results indicate that round-trip efficiency, electricity storage efficiency, and exergy efficiency can reach 73%, 53.6%, and 50.6%, respectively. Therefore, the system proposed in this paper has high efficiency and flexibility to jointly supply multiple energy to meet demands, so it has broad prospects in regions with abundant solar energy resource.


Author(s):  
Gianmario L. Arnulfi ◽  
Martino Marini

Electrical energy storage might become a strategic topic if distributed generation will be matched with stochastic sources as wind or sun. Compressed Air Energy Storage (CAES) is one of the most promising options today: energy is stored as pressurized air in a cavern. Transient phenomena, occurring during the charging process, are analyzed in this paper. Two kinds of systems are considered with or without pressure compensation; in fact a water column can be used to link the cavern to a pond in order to compensate the pressure oscillations. A lumped parameter model has been adjusted by the authors to simulate the initial charging and the subsequent surge. The obtained results supply some insight about the safe working conditions and also the surge operation.


2020 ◽  
Vol 142 (4) ◽  
Author(s):  
Yasir M. Alfulayyih ◽  
Peiwen Li ◽  
Ammar Omar Gwesha

Abstract An algorithm and modeling are developed to make precise planning of year-round solar energy (SE) collection, storage, and redistribution to meet a decided demand of electrical power fully relying on solar energy. The model takes the past 10 years’ data of average and worst-case sky coverage (clouds fraction) condition of a location at a time interval (window) of per 6 min in every day to predict solar energy and electrical energy harvest. The electrical energy obtained from solar energy in sunny times must meet the instantaneous energy demand and also the need for energy storage for nighttime and overcast days, so that no single day will have a shortage of energy supply in the entire year and yearly cycles. The analysis can eventually determine a best starting date of operation, a least solar collection area, and a least energy storage capacity for cost-effectiveness of the system. The algorithm provides a fundamental tool for the design of a general renewable energy harvest and storage system for non-interrupted year-round power supply. As an example, the algorithm was applied for the authors’ local city, Tucson, Arizona of the U.S. for a steady power supply of 1 MW.


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