Towards the Validation of a CFD Solver for Non-ideal Compressible Flows
| Autor: | A.J. Head, Matteo Pini, C. de Servi, S. V. Iyer |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Automotive engine
Engineering business.industry 020209 energy Dynamic data Experimental data Control engineering 02 engineering and technology Computational fluid dynamics Solver 01 natural sciences 010305 fluids & plasmas Electric power system Test case 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Uncertainty quantification business Simulation |
| Zdroj: | Energy Procedia. 129:240-247 |
| ISSN: | 1876-6102 |
| DOI: | 10.1016/j.egypro.2017.09.149 |
| Popis: | Mini ORC power systems with the capability to deliver 3-50 kWe are receiving increased recognition for applications such as heat recovery from automotive engines, or distributed power generation from geothermal reservoirs and solar irradiation. Efficient and reliable expanders are the enabling components of such power systems, and all the related developments are currently at the research stage [1]. In the open literature experimental gas dynamic data is limited concerning the fluids and the flow conditions of interest for ORC expanders [2]. Therefore, CFD tools used for the fluid dynamic design of these components cannot be validated against reliable test cases. To bridge this gap, new experimental facilities are currently being built, such as the ORCHID setup [3]. The availability of proper experimental datasets is not, however, the sole requirement for validating a CFD code. Another precondition, equivalently important, is to define an appropriate validation methodology. This paper introduces the first steps towards the validation of a CFD solver for non-ideal compressible flows. Notably, a numerical procedure based on uncertainty quantification analysis has been conceived to assess the accuracy of the thermophysical sub-model of the code, i.e. the equation of state (EoS). Due to the lack of suitable experimental data, a synthetic dataset is generated and used to investigate the validity of the procedure. The associated validation exercise confirms the applicability of the proposed procedure, but also points out that the adopted validation metrics should be complemented with additional statistical indicators. |
| Databáze: | OpenAIRE |
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