HYBRID is a collection of a transient process models developed in the Modelica langauage capable of representing the physical dynamics of various integrated energy systems and processes. The models are developed in a modular way so as to allow users to quickly assemble and test various configurations and control systems.
The systems studied are modular and made of an assembly of components. For example, a system could contain a hybrid nuclear reactor, a gas turbine, a battery and some renewables. This system would correspond to the size of a balance area, but in theory any size of system is imaginable. The system is modeled in the ‘Modelica/Dymola’ language.
To assess the economics of the system, an optimization procedure varying different parameters can be run using the INL FORCE platform that combines HYBRID with HERON and RAVEN.
Currently,the HYBRID repository is based on:
- RAVEN : RAVEN v 1.1 (and newer). See GITHUB WEBSITE
- TRANSFORM-Library : TRANsient Simulation Framework of Reconfigurable Models. See GITHUB WEBSITE
- DYMOLA: DYMOLA 2020x or newer. See Dymola Website
- Evaluation of Hydrogen Production Feasibility for a Light Water Reactor in the Midwest
- Status Report on FY2022 Model Development within the Integrated Energy Systems HYBRID Repository
- Thermal Energy Storage Model Development within the Integrated Energy Systems HYBRID Repository
- Reverse Osmosis and Sensible Heat Thermal Energy Storage
- Development of the NuScale Power Module in the INL Modelica Ecosystem
- Modeling the Idaho National Laboratory Thermal-Energy Distribution System (TEDS) in the Modelica Ecosystem
- Modeling, control, and dynamic performance analysis of a reverse osmosis desalination plant integrated within hybrid energy systems
- Dynamic performance analysis of a high-temperature steam electrolysis plant integrated within nuclear-renewable hybrid energy systems
- Nuclear Integrated Energy System Preliminary Design and Analysis
- Modeling and Experimental Validation of Latent Heat Thermal Energy Storage System
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- Andrea Alfonsi
- Aaron Epiney
- Cristian Rabiti
- Jong Suk Kim
- Konor Frick (Technical Lead/ Owner)
- Paul Talbot
- Robert Kinoshita
- Derek Stucki
- Michael Greenwood
- Roberto Ponciroli
- Yu Tang
- Daniel Mikkelson (Maintainer)
- Amey Shigrekar
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