CFD Analysis of lab-scale prototypes two-phase fluid flow twin-scroll compressor and expander

Wenjing Lyu, Giovanni Luzi, Antonio Delgado and Thomas E. Schellin

Energy, 2025, vol. 314, issue C

Abstract: Computational Fluid Dynamics is a crucial tool for designing Positive Displacement machines. In this regard, we have developed a Computational Fluid Dynamics in-house solver to predict phase change phenomena inside the chambers of twin-scroll compressors and expanders handling two-phase fluid flow. The main numerical assessments of this work include velocity and pressure distribution, average inlet and outlet mass flow rates, vapor condensation and liquid evaporation phenomena, as well as isentropic, adiabatic, and volumetric efficiencies. These are essential for determining whether the machines experience excessive vibrations or work under overloaded conditions. The numerical results obtained with our solver align well with those obtained with a Deterministic Model found in existing literature. Additionally, the pressure and velocity distribution inside the scroll machines are similar to those reported in numerical studies of single-phase flow scroll compressors and expanders available in the literature.

Keywords: Two-phase flow; Twin-scroll machines; Dynamic mesh solver; Isentropic efficiency; Adiabatic efficiency; Volumetric efficiency (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224039707
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:314:y:2025:i:c:s0360544224039707

DOI: 10.1016/j.energy.2024.134192

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().