"Data-driven surrogate optimization for deploying heterogeneous multi-e" by Haoshan Ren, Dian ce Gao et al.
Energy storage such as battery and thermal energy storage is an effective approach to shift building peak load and alleviate grid stress at a building cluster level. However, due to the heterogeneous performance of different types of storage (e.g., response speed, charge/discharge efficiency and rate, storage capacity) and highly diversified energy use patterns of individual buildings, the multi-energy storage should be properly selected and optimally designed for individual buildings to achieve...
Building Cluster Data Driven Optimization Demand Response Energy Flexibility Energy Storage Ptimal Deployment
Source: uow.edu.au