Print Email Facebook Twitter Estimating battery lifetimes in Solar Home System design using a practical modelling methodology Title Estimating battery lifetimes in Solar Home System design using a practical modelling methodology Author Narayan, N.S. (TU Delft DC systems, Energy conversion & Storage) Papakosta, Thekla (Student TU Delft) Vega Garita, V.E. (TU Delft DC systems, Energy conversion & Storage) Qin, Z. (TU Delft DC systems, Energy conversion & Storage) Popovic, J. (TU Delft DC systems, Energy conversion & Storage) Bauer, P. (TU Delft DC systems, Energy conversion & Storage) Zeman, M. (TU Delft Electrical Sustainable Energy) Department Electrical Sustainable Energy Date 2018 Abstract The rapid increase in the adoption of Solar Home Systems (SHS) in recent times hopes to ameliorate the global problem of energy poverty. The battery is a vital but usually the most expensive part of an SHS; owing to the least lifetime among other SHS components, it is also the first to fail. Estimating battery lifetime is a critical task for SHS design. However, it is also a complex task due to the reliance on experimental data or modelling cell level electrochemical phenomena for specific battery technologies and application use-case. Another challenge is that the existing electrochemical models are not application-specific to Solar Home Systems. This paper presents a practical, non-empirical battery lifetime estimation methodology specific to the application and the available candidate battery choices. An application-specific SHS simulation is carried out, and the battery activity is analyzed. A practical dynamic battery lifetime estimation method is introduced, which captures the fading capacity of the battery dynamically through every micro-cycle. This method was compared with an overall non-empirical battery lifetime estimation method, and the dynamic lifetime estimation method was found to be more conservative but practical. Cyclic ageing of the battery was thus quantified and the relative lifetimes of 4 battery technologies are compared, viz. Lead-acid gel, Flooded lead-acid, Nickel-Cadmium (NiCd), and Lithium Iron Phosphate (LiFePO4) battery. For the same SHS use-case, State-of-Health (SOH) estimations from an empirical model for LiFePO4 is compared with those obtained from the described methodology, and the results are found to be within 2.8%. The relevance of this work in an SHS application is demonstrated through a delicate balance between battery sizing and lifetime. Based on the intended application and battery manufacturer's data, the practical methodology described in this paper can potentially help SHS designers in estimating battery lifetimes and therefore making optimal SHS design choices. Subject Battery lifetime modelBattery sizingCyclic ageingDynamic battery lifetime estimationSolar Home Systems To reference this document use: http://resolver.tudelft.nl/uuid:e1ff3160-1158-4bad-8e5d-23b740237c7f DOI https://doi.org/10.1016/j.apenergy.2018.06.152 ISSN 0306-2619 Source Applied Energy, 228, 1629-1639 Part of collection Institutional Repository Document type journal article Rights © 2018 N.S. Narayan, Thekla Papakosta, V.E. Vega Garita, Z. Qin, J. Popovic, P. Bauer, M. Zeman Files PDF 45807783_1_s2.0_S03062619 ... 5_main.pdf 643.86 KB Close viewer /islandora/object/uuid:e1ff3160-1158-4bad-8e5d-23b740237c7f/datastream/OBJ/view