VII. CONCLUSIONS
In this study, we proposed a general model for thermal energy storage (TES) with detailed consideration of the heat transfer (HT) constraints. This general model can be used to model both the sensible heat (SH) TES and latent heat (LH) TES by using different parameters. An iteration method is given to solve the dispatch problem with these complex nonlinear HT constraints, and interpolation is used to deal with the strong nonlinearity. The case studies demonstrate the effectiveness of the proposed model and solving method. It is also illustrated how considering the HT process is essential to realistically quantify and make full use of the flexibility that the TES can provide. The differences between LH and SH TES are also analyzed, and the results show that LH can provide more flexibility than SH, especially when the starting thermal energy level is low.
Flexibility provided by TES devices will be highly influenced by the HT processes, as demonstrated here. Therefore, future studies will aim to include HT constraints into other thermal flexibility enhancement options such as using the TES capacity of the district heating network, electric boilers, flexible heat consumption, etc.