Generic model identification framework for thermodynamic engines for use in hybrid power stations control and simulation

• Published in: Journal of process control Vol. 24; no. 6; pp. 966 - 974
• Main Authors: Alamir, M., Rahmani, M.A., Gualino, D.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2014; International Federation of Automatic Control; Elsevier
• Subjects: Automatic; Engineering Sciences; Identification; Stirling engine; Thermodynamic engines; Wiener models; Identification; Stirling engine; Thermodynamic engines; Wiener models; Stirling Engine; fast simulation; Hybrid Power Station; Nonlinear identification
• ISSN: 0959-1524; 1873-2771
• DOI: 10.1016/j.jprocont.2014.04.019

•Model oriented towards the inclusion of a global hybrid power generation stations.•Fast data-based modeling of thermodynamic engine.•Acceleration factor greater than 500 for a realistic model of beta-type Stirling engine. Thermodynamic engines are focusing increasing attention in the context of solar-based electric power generation. Knowledge-based models of such engines are sometimes difficult to derive and when they are available, their simulation may be numerically a rather heavy task given the control updating period that may be needed. In the present work a generic nonlinear identification framework that enables the dynamics of the key quantities of a thermodynamic engine to be captured is proposed. Such a fast model can then be used in the simulation and the control design stage of the whole electric power generation station. The proposed identification framework is validated on a recently developed knowledge-based model of a beta-type Stirling engine with rhomic-drive mechanism.