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dc.creatorNarayan, Nishant
dc.creatorPapakosta, Thekla
dc.creatorVega Garita, Víctor
dc.creatorPopovic Gerber, Jelena
dc.creatorBauer, Pavol
dc.creatorZeman, Miroslav
dc.date.accessioned2023-11-28T19:51:59Z
dc.date.available2023-11-28T19:51:59Z
dc.date.issued2017
dc.identifier.isbn978-1-5386-2775-4
dc.identifier.isbn978-1-5386-2774-7
dc.identifier.issn2153-0033
dc.identifier.urihttps://hdl.handle.net/10669/90510
dc.descriptionEste artículo fue realizado durante mis estudios de doctorado en la Universidad Tecnológica de Delft. En ese periodo fui becado por la UCRes_ES
dc.description.abstractThe proliferation of Solar Home Systems (SHS) in recent times hopes to provide an alleviating solution to the global problem of energy poverty. Battery is usually the most expensive but important part of an SHS; it is also normally the first part to fail. Estimating the battery lifetime can help make informed system design choices, and it is therefore an important exercise for an SHS designer. Battery lifetime modelling is often a complex task requiring empirical data or reliance on modelling cell level electrochemical phenomena. This paper presents a simple battery lifetime estimation method specific to the application and candidate battery choices at hand. An SHS application specific simulation is carried out for a year and the effect of microcycles on the battery activity is analyzed. The concept of active Depth-of-Discharge (DOD) is introduced. Cyclic ageing of the battery is thus quantified and relative cycle lives of 2 battery technologies are compared. A delicate trade-off is demonstrated between battery sizing and lifetime. The described methodology is also compared with an empirical model and the lifetime results are found to be within 3.85%. The methodology described in this paper can potentially help SHS designers in making quick, reasonable estimations of battery lifetimes based on the intended application and battery manufacturer's data.es_ES
dc.language.isoenges_ES
dc.sourceIEEE AFRICON. Ciudad del Cabo, Sudáfrica. 18-20 de septiembre de 2017es_ES
dc.subjectSOLAR SYSTEMes_ES
dc.subjectSTATISTICAL INFERENCEes_ES
dc.subjectBATTERYes_ES
dc.titleA simple methodology for estimating battery lifetimes in Solar Home System designes_ES
dc.typecomunicación de congresoes_ES
dc.identifier.doi10.1109/AFRCON.2017.8095652
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ingeniería Eléctricaes_ES


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