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Canada Procurement News Notice - 80818


Procurement News Notice

PNN 80818
Work Detail Canadian researchers have created an experimental testbed for compressed air energy storage at the surface. Calibration of experimental data has ensured the accuracy of the model with an absolute mean error rate of less than 4%. Canadian researchers have analyzed the performance of an above-ground compressed air energy storage (CAES) system using an experimental setup and numerical model. A quasi-steady-state approach to system modeling was able to predict different parameters of the experimental setup with a mean absolute percentage error (MAPE) of less than 4%. “This study hypothesizes that the development of a fully instrumented testbed and an advanced numerical model, integrating real air properties and taking into account heat transfer dynamics, will significantly improve the model’s ability to represent the real behavior of CAES systems while minimizing errors,” they explained. “It is further hypothesized that this improved model will allow for detailed parametric analysis, which will help identify specific opportunities for system improvement.” CAES can help take advantage of the intermittent nature of solar energy, as it can store compressed air during times of surplus production and release it during times of deficit. While underground CAES can be used at grid scale, an above-ground system is more flexible, although research on this is less mature. “The CAES system works as follows: during periods of energy surplus, electricity is used to power a motor that drives a compressor. This compressor compresses ambient air in a storage tank,” the academics explain. “When there is demand for electricity, the compressed air in the tank is released and directed to a turbine. The turbine converts the air pressure energy into rotary motion, which is used to drive a generator and produce electricity.” The experimental setup created by the scientists included a 45 kW compressor, a control unit, an adsorption dryer and 20 tanks with a combined volume of 5.86 m3. Based on the results obtained from the operation of this system and the reviewed literature, the scientists created a model to predict its operation, using a quasi-steady state approach. “The quasi-steady-state approach models the transient dynamics of the system, dividing the calculations into smaller intervals characterized by steady-state conditions,” the group explained. “This method allows us to consider changes in environmental conditions over time, providing a dynamic simulation of the system response, which is an improvement over the steady-state assumptions used in other reviewed studies.” The model was further calibrated and achieved MAPE ranging from 0.21% to 3.58% across its 13 parameters. “With MAPE values ??consistently below 4.0%, confidence is built in the model’s ability to accurately simulate the system dynamics, providing a solid foundation for subsequent parametric analyses,” the researchers say, noting that the proposed model facilitates deliberate manipulation of parameters, allowing for a systematic assessment of its round-trip efficiency (RTE). From parametric analysis, the research group found that compressing air at lower temperatures reduces compressor workload and extends load duration, resulting in a 1% increase in RTE. They also found that reducing the polytropic index toward a near-isothermal process achieved a 7.5% increase in RTE with preheating. Finally, the team also found that “increasing the number of expansion stages from one to three significantly improved RTE from 5.5% to 16.%.” The results were presented in “ Aboveground compressed air energy storage systems: Experimental and numerical approach ,” published in Energy Conversion and Management . The research was conducted by Canada’s École de technologie supérieure (ÉTS) and the Institut de Recherche Hydro-Québec (IREQ).
Country Canada , Northern America
Industry Energy & Power
Entry Date 30 Oct 2024
Source https://www.pv-magazine-latam.com/2024/10/29/banco-de-pruebas-para-sistemas-de-almacenamiento-de-energia-por-aire-comprimido-en-superficie/

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