Numerical analysis reveals ramp angle alters stagnation pressure ratio and efficiency in CO2 compression, indicating optimized compressors for carbon capture and storage applications.
The increasing atmospheric carbon dioxide (CO 2 ) concentration represents a major challenge in climate change mitigation. Carbon capture and storage (CCS) technology has emerged as an effective solution for CO 2 emissions reduction, where the compression process plays a crucial role due to its significant energy requirements. Shock wave compression provides a mechanically simple yet thermodynamically efficient approach for gas compression. This research investigates a novel shock wave compressor (rampressor) design through detailed numerical simulations using computational fluid dynamics (CFD). The study employs a density‐based method to solve the compressible Euler equations, with CO 2 properties modeled by the perfect gas equation of state ( γ = 1.28) and rotational effects accounted for through the single rotating reference frame (SRF) method at 31,600 rpm. A comprehensive parametric analysis examines the influence of ramp angle from 0° to 30° on key performance indicators. The results demonstrate that increasing the ramp angle intensifies oblique shock strength, elevating the stagnation pressure ratio from 1.8° at 0° to 2.56° at 30°, whereas the loss coefficient rises from 0.1 to 0.25. Total‐to‐total efficiency decreases sharply up to 12° before stabilizing at higher angles. The optimized design achieves 88%–92% isentropic efficiency with a 35% reduction in system dimensions and a 40% weight reduction compared with conventional axial compressors. These quantitative findings establish ramp angle as the dominant parameter governing the trade‐off between pressure ratio and efficiency losses. The study concludes that shock wave compressors represent a technically viable solution for CCS and enhanced oil recovery applications, with the rampressor configuration offering a single‐stage pressure ratio of 2.56 under CO 2 compression conditions. This work provides foundational data for optimizing compression systems for sustainable energy infrastructure. Optimal performance occurs at 12°–20° ramp angles, where pressure gains offset efficiency losses.
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Zahedzadeh et al. (2026) studied this question.
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