Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation

Abstract

Compressed air energy storage (CAES) could play an important role in balancing electricity supply and demand when linked with fluctuating wind power. This study aims to investigate design and operation of a CAES system for wind power at design and off-design conditions through process simulation. Improved steady-state models for compressors, turbines and the CAES system for wind power were developed in Aspen Plus ® and validated. A pseudo-dynamic model for cavern was developed in Excel. Compressor and turbine characteristic curves were used in model development for process analysis. In the off-design analysis, it was found that the CAES system for wind power at variable shaft speed mode utilise more excess wind energy (49.25MWh), store more compressed air (51.55×10 3 kg), generate more electricity (76.00MWh) and provide longer discharging time than that at constant shaft speed mode. Economic evaluation based on levelized cost of electricity (LCOE) was performed using Aspen Process Economic Analyser ® , it was found that LCOE for the CAES system for wind power at variable shaft speed mode is lower than that at constant shaft speed mode. Research presented in this paper hopes to shed light on design and operation of the CAES system for wind power and cost reduction.

Winglet design for vertical axis wind turbines based on a design of experiment and CFD approach

“…Wind is widely recognized as being a source of clean energy, and it will never be exhausted. Using wind energy to generate electricity, instead of fossil fuels, can not only save the conventional energy resources but also protect the environment [1]. Nowadays, many countries are investigating an increasing amount of funds into establishing wind turbines [2].…”

MIMO Fuzzy to Improve Search Speed and Reduce Oscillation in Maximum Efficiency Point Tracking of Small-Scale Compressed Air Energy Storage

“…The application of energy storage systems using compressed air or compressed air energy storage (CAES) for large-scale electricity has become an attractive option if it is technically possible to apply [1][2][3][4][5]. This attractiveness is indicated by the operation of several large-scale CAES facilities in various countries such as Morocco with an installed capacity of 400 MW, in Korea and Israel each with a capacity of 300 MW, in Germany with a capacity of 290 MW and the smallest in America with a capacity of 110 MW [2][3][4].…”

Interdependence of electricity and heat distribution systems coupled by an AA‐CAES‐based energy hub

“…Besides, the potential environmental and security threats are not to be neglected. Pumped hydro storage (PHS) and compressed air energy storage (CAES) are widely recognised as the only physical energy storage technologies which can be implemented at grid scale [2,3]. PHS is a fully mature and widespread technology applied in practice [4].…”

“…A real-time dispatch model of CAES considering power regulation uncertainty is developed in [5]. CAES can also be incorporated with wind plants to compensate the intermittence of wind output and to deal with the forecasting uncertainty [2,3,[20][21][22]. Process simulation is carried out in [2] to study the performance of CAES system integrated with wind power at design and off-design conditions.…”

“…CAES can also be incorporated with wind plants to compensate the intermittence of wind output and to deal with the forecasting uncertainty [2,3,[20][21][22]. Process simulation is carried out in [2] to study the performance of CAES system integrated with wind power at design and off-design conditions. Taking into account the forecasting error, stochastic self-scheduling model [3], adaptive robust self-scheduling model [20], and three-stage stochastic optimisation [21] are, respectively, employed to seek the coordinated operation strategy of renewable energy sources integrated with CAES.…”