Examinando por Autor "Serrano-Lujan, Lucía"

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Accurate thermal prediction model for building-integrated photovoltaics systems using guided artificial intelligence algorithms
(ELSEVIER, 2022-06-01) Serrano-Lujan, Lucía; Toledo, Carlos; Colmenar, Jose Manuel; Abad, Jose; Urbina, Antonio
Progress in development of building-integrated photovoltaic systems is still hindered by the complexity of the physics and materials properties of the photovoltaic (PV) modules and its effect on the thermal behavior of the building. This affects not only the energy generation, as its active function and linked to economic feasibility, but also the thermal insulation of the building as part of the structure’s skin. Traditional modeling methods currently presents limitations, including the fact that they do not account for material thermal inertia and that the proposed semi-empirical coefficients do not define all types of technologies, mounting configuration, or climatic conditions. This article presents an artificial intelligence-based approach for predicting the temperature of a poly-crystalline silicon PV module based on local outdoor weather conditions (ambient temperature, solar irradiation, relative outdoor humidity and wind speed) and indoor comfort parameters (indoor temperature and indoor relative humidity) as inputs. A combination of two algorithms (Grammatical Evolution and Differential Evolution) guides to the creation of a customized expression based on the Sandia model. Different data-sets for a fully integrated PV system were tested to demonstrate its performance on three different types of days: sunny, cloudy and diffuse, showing relative errors of less than 4% in all cases and including night time. In comparison to Sandia model, this method reduces the error by up to 11% in conditions of variability of sky over short time intervals (cloudy days).
Environmental impact of the production of graphene oxide and reduced graphene oxide
(SPRINGER NATURE, 2019-01-25) Serrano-Lujan, Lucía; Víctor-Román, Sandra; Toledo, Carlos; Snahuja-Parejo, Olga; Mansour, Ahmed; Abad, Jose; Amassian, Aram; Benito, Ana M.; Maser, Wolfgang; Urbina, Antonio
Reduced graphene oxide (rGO) is widely seen as the most promising route for the low-cost mass production of graphene for many applications ranging from ultrathin electrodes to structural nanocomposites. The Hummers and Marcano methods are the two most successful approaches for producing high-performance rGO, but have been criticized for producing toxic emissions. We have applied life cycle assessment methodology to evaluate the environmental impacts of both production routes for GO and rGO in the context of applications requiring bulk materials or thin coatings. We find no current obstacle to the industrial scale production of graphene arising from its environmental impact. The cumulative energy demand is found to have a cap value between 20.7 and 68.5 GJ/Kg, a relatively high value; impact in other cat- egories (such as human toxicity or resource depletion) is lower, and materials inventory does not include critical/strategic materials other than graphite itself. Our study proposes 1 kg of graphene as functional unit, and an application-specific functional unit normalized by conductivity which show that Hummers production method is far more suitable for bulk applications of graphene, with lower embedded energy per kg of graphene production, while Marcano’s production method is better suited for thin film electronic applications.
La toma de decisiones en proyectos de energización rural para la contribución a la mejora de la calidad de vida
(Academia de Ciencias de Cuba, 2019-11-03) Morera, Taymi; Font, Raul; Cherni, Judith; Piza, Felipe; Serrano-Lujan, Lucía; Yeregui, Antonio; Machado, Isaac
Se presentan dos herramientas para el apoyo a la toma de decisiones en proyectos de energización rural: el modelo SURE, que constituye el resultado principal de varios proyectos de colaboración internacional y PNCIT que abarcan el periodo del año 2001 al 2011 y que se integra en el año 2015 al “procedimiento para la contribución a la mejora de la calidad de vida desde la energización rural” (PEMAR). PEMAR como procedimiento integrador consta de tres fases: la determinación de la situación inicial de la comunidad (fase I), la predicción de impactos por cada dimensión del desarrollo (fase II), y el proceso de gestión del grupo de trabajo de desarrollo local del Consejo de Administración Municipal (fase III). SURE se integra al procedimiento principal (PEMAR) en la fase I y II teniendo como función la determinación de la línea base; la evaluación de posibles soluciones de inversiones de energización rural mediante indicadores cuantitativos y cualitativos obtenidos a partir del impacto que se predice de las posibles alternativas energéticas valoradas en cinco recursos de la comunidad rural: recurso social, humano, físico, financiero y natural.