Main objective of this task will be the numerical modelling of the enabling technologies developed, in terms of individual components and systems configurations, taking into account the operating conditions and frameworks identified in WP1. The models will be exploited to investigate the main parameters affecting the achievable performance of the systems and to identify the most effective solution for the integration in the smart energy grids. The models will be adapted starting from already existing lumped parameters models and will be implemented in commercial software such as Matlab/Simulink or Dymola/Modelica able to be integrated (e.g., through FMUs or co-simulations) within WP4 in HYPERGRYD platform. The obtained results under different working conditions will be compared to standard systems based on compression heat pump, sensible storage and RES SoA components, in terms of electrical COP/EER, thermal COP/EER and other possible KPIs defined within WP1. Different control strategies will be tested during modelling to identify the most effective solutions which could optimize the operating conditions of the adapted configurations in terms of technical as well as economical KPIs. The developed models will be progressively refined and calibrated on the basis of experimental activities in lab-scale (T2.2-T2.3). Outcome of the activity will be final adaptation of components and the definition of their optimized configuration for the implementation in WP5.

HYPERGRYD Deliverable 2.2 - Results of simulations and definition of optimised configurations for the Enabling Technologies

Valeria Palomba;Yannan Zhang;
2023

Abstract

Main objective of this task will be the numerical modelling of the enabling technologies developed, in terms of individual components and systems configurations, taking into account the operating conditions and frameworks identified in WP1. The models will be exploited to investigate the main parameters affecting the achievable performance of the systems and to identify the most effective solution for the integration in the smart energy grids. The models will be adapted starting from already existing lumped parameters models and will be implemented in commercial software such as Matlab/Simulink or Dymola/Modelica able to be integrated (e.g., through FMUs or co-simulations) within WP4 in HYPERGRYD platform. The obtained results under different working conditions will be compared to standard systems based on compression heat pump, sensible storage and RES SoA components, in terms of electrical COP/EER, thermal COP/EER and other possible KPIs defined within WP1. Different control strategies will be tested during modelling to identify the most effective solutions which could optimize the operating conditions of the adapted configurations in terms of technical as well as economical KPIs. The developed models will be progressively refined and calibrated on the basis of experimental activities in lab-scale (T2.2-T2.3). Outcome of the activity will be final adaptation of components and the definition of their optimized configuration for the implementation in WP5.
2023
Istituto di Tecnologie Avanzate per l'Energia - ITAE
Rapporto intermedio di progetto
thermal energy storage
heat pump
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/516724
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