Design of A Simplified Hierarchical Bayesian Network for Residential Energy Storage Degradation
Conference
Khan, K, Hossen, T, Savasci, A et al. (2019). Design of A Simplified Hierarchical Bayesian Network for Residential Energy Storage Degradation
. IEEE Power and Energy Society General Meeting, 2019-August 10.1109/PESGM40551.2019.8973603
Khan, K, Hossen, T, Savasci, A et al. (2019). Design of A Simplified Hierarchical Bayesian Network for Residential Energy Storage Degradation
. IEEE Power and Energy Society General Meeting, 2019-August 10.1109/PESGM40551.2019.8973603
Khan, K; Hossen, T; Savasci, A; Gauchia, L; Paudyal, S
abstract
In this paper a simplified hierarchical Bayesian network (BN) is developed to estimate residential energy storage degradation in terms of capacity fade. The BN is trained using experimental results of lithium iron phosphate batteries. Residential energy storage capacity fade was estimated for multiple cases. These cases originated from a smart home energy management system (SHEMS). The cases reflect that capacity fade of the residential energy storage depends on SHEMS architecture, power consumption limits and electric vehicle schedule.
