Modelling and data validation for the energy analysis of absorption refrigeration systems
- Autores: David Estefano Martínez Maradiaga
- Directores de la Tesis: Mahmoud Bourouis (dir. tes.), Joan Carles Bruno (dir. tes.)
- Lectura: En la Universitat Rovira i Virgili ( España ) en 2013
- Idioma: inglés
- Tribunal Calificador de la Tesis: Rajagopal Saravanan (presid.), Jordi Ortiga Guillen (secret.), Nathalie Mazet (voc.)
- Materias:
- Enlaces
- Tesis en acceso abierto en: TDX
- Resumen
Data validation and reconciliation techniques have been extensively used in the process industry to improve the data accuracy. These techniques exploit the redundancy in the measurements in order to obtain a set of adjusted measurements that satisfy the plant model. Nevertheless, not many applications deal with closed cycles with complex connectivity and recycle loops, as in absorption refrigeration cycles. This thesis proposes a methodology for the steady-state data validation of absorption refrigeration systems. This methodology includes the identification of steady-state, resolution of the data reconciliation and parameter estimation problems and the detection and elimination of gross errors. The methodology developed through this thesis will be useful for generating a set of coherent measurements and operation parameters of an absorption chiller for downstream applications: performance calculation, development of empirical models, optimisation, etc. The methodology is demonstrated using experimental data of different types of absorption refrigeration systems with different levels of redundancy.
