This publication details newly created energy storage models developed within the Hybrid Modelica repository as part of the Integrated Energy System (IES) initiative at Idaho National Laboratory (INL). Model development has led to the creation of dynamic systems level models of concrete, latent heat, and packed bed thermocline technologies for deployment in the IES based Hybrid repository. Models are developed using the latest publicly available data and incorporate the possibility of control strategy inclusion for use with the existing IES modeling toolset. Simulations showcase the abilities of each technology to cyclically charge and discharge when exposed to time varying boundary conditions. In addition, low level surrogate models for some of the thermal energy storage technologies were created using python. These lower order python files are much cheaper to run and thus operate well when incorporated within the stochastic optimization problems run in the IES program. Moreover, economic data was collected for use within the INL based Framework for Optimization of ResourCes and Economics (FORCE) and IES stochastic optimization framework. This information is incorporated within the FORCE platform. Through commencement of this work, a systems-level model of concrete, latent heat, and thermocline thermal energy storage systems with associated control systems have been created. Now that these models are available, they can be utilized within different integrated energy parks to understand optimal system operation, control, and dispatching. Moreover, given the generic nature of the models, industrial partner technologies (Storworks Power, EnergyNest) can be quickly added to the repository using the existing models as a basis.
