Comparison of economic performance of lead-acid and li-ion batteries in standalone photovoltaic energy systems

Carroquino J. ; Escriche-Martínez C. ; Valiño, L. ; Dufo-López, R. (Universidad de Zaragoza)

Resumen: Standalone renewable energy systems usually incorporate batteries to get a steady energy supply. Currently, Li-ion batteries are gradually displacing lead-acid ones. In practice, the choice is made without previous comparison of its profitability in each case. This work compares the economic performance of both types of battery, in five real case studies with different demand profiles. For each case, two sets of simulations are carried out. In one of the sets, the energy demand is supplied by a standalone photovoltaic system and, in the other one, by a standalone hybrid photovoltaic-diesel system. Through optimization processes, the economic optimum solutions are obtained. In addition, sensitivity analyses on various parameters have been carried out, seeking the influence in favor of one or another type of battery. The results show that if the type of battery is changed, to achieve the economic optimum the entire system must be resized. In some cases, the economic optimum is reached with Li-ion and in others with lead-acid batteries, depending on the demand profiles. Thus, both types of batteries can be profitable options in standalone energy systems, with a greater tendency to lead-acid in fully photovoltaic systems and to Li-ion in hybrids. The price reductions that would make Li-ion the only choice is quantified. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Idioma: Inglés

DOI: 10.3390/app11083587

Año: 2021

Publicado en: Applied Sciences (Switzerland) 11, 8 (2021), 3587 [27 pp]
ISSN: 2076-3417

Factor impacto JCR: 2.838 (2021)

Categ. JCR: ENGINEERING, MULTIDISCIPLINARY rank: 39 / 92 = 0.424 (2021) - Q2 - T2
Categ. JCR: PHYSICS, APPLIED rank: 76 / 161 = 0.472 (2021) - Q2 - T2
Categ. JCR: MATERIALS SCIENCE, MULTIDISCIPLINARY rank: 218 / 345 = 0.632 (2021) - Q3 - T2
Categ. JCR: CHEMISTRY, MULTIDISCIPLINARY rank: 100 / 180 = 0.556 (2021) - Q3 - T2

Factor impacto CITESCORE: 3.7 - Engineering (Q2) - Materials Science (Q2) - Chemical Engineering (Q2) - Computer Science (Q2) - Physics and Astronomy (Q2)

Factor impacto SCIMAGO: 0.507 - Engineering (miscellaneous) (Q2) - Computer Science Applications (Q2) - Process Chemistry and Technology (Q2) - Materials Science (miscellaneous) (Q2) - Fluid Flow and Transfer Processes (Q2)

Tipo y forma: Article (Published version)

Área (Departamento): Área Ingeniería Eléctrica (Dpto. Ingeniería Eléctrica)