Evaluación del desempeño de un sistema fotovoltaico a partir de datos medidos por un sistema de telemetría solar

Dr. Pedro Manuel Rodrigo Cruz

Descripción del proyecto: En el campus, se está poniendo en marcha un sistema de telemetría solar que mide en tiempo real y registra la irradiancia solar y temperatura ambiente. El objetivo de este proyecto es utilizar los datos registrados por estos sensores para, a partir del desarrollo de un modelo de producción fotovoltaica, estimar la producción del sistema fotovoltaico instalado en la UP y comparar los resultados del modelo con los datos reales de producción registrados por los inversores del sistema fotovoltaico. La herramienta servirá a los propietarios y gestores de sistemas fotovoltaicos para evaluar si sus sistemas se están comportando de acuerdo a lo esperado o si presentan fallas o pérdidas de producción.

Fechas: del 1 de junio al 30 de junio

Pueden participar: Alumnos con interés de cualquier carrera. No sé requieren conocimientos previos, aunque sí motivación para aprender herramientas de programación tipo Python o Matlab.

Si te interesa participar en este proyecto, puedes enviar un correo directamente al Dr. Pedro Rodrigo  prodrigo@up.edu.mx.

Design and implementation of converters with high conversion rate

Dr. Omar Fernando Ruíz Martínez

Project description: Design, simulation, and implementation of a power electronic converter. The power converter may be a DC-DC or an DC-AC converter. The final implementation will be in a printed circuit board using a DSP board to operate the converter. The functionality tests will be carried out feeding low power loads.

Dates: July 3th to July 28th

Required students: Two students with abilities and experience in simulation of electronic circuits in Matlab or another similar software, knowledge of how to handle electrical and electronic measurement equipment, and basic knowledge in PCB design.

If you are interested in participating in this project, please contact Dr. Omar Ruíz  ofruizm@up.edu.mx.

Feature selection in Machine Learning

Dra. Claudia Nallely Sánchez Gómez

Project description: Feature selection is a crucial task in Machine Learning. It allows the identification of the essential features for prediction models, helping improve models and extract knowledge from data. In several companies, identifying the key features is important to reduce the cost of a process or data handling. There are several techniques for making feature selection. We are interested in applying optimization techniques and evolutionary computation in this project. In this project, we will colaborate with a MIT student: Felipe Morales Osorio.

Dates: July 3th to August 18th

Required students:  Students with abilities in python codification, and basic knowledge of Machine Learning.

If you are interested in participating in this project, please contact Dra. Claudia Sánchez cnsanchez@up.edu.mx.

Economía Circular

Dra. Pia Berger

Descripción del proyecto: Redacción de artículos en el área de Economía circular.

Fechas: del 3 de julio al 29 de julio

Pueden participar: Alumnos de maestría MIEC.

Si te interesa participar en este proyecto, puedes enviar un correo directamente a la Dra. Pia Berger  pberger@up.edu.mx.

Creación de fibra de material reciclado 

Candidato a Dr. Isaí Gerardo Reyes Cedeño

Dra. Gabriela Durán Aguilar

Descripción del proyecto: Proyecto en conjunto de academia de innovación y diseño e ingeniería civil, para procesar pastas para utilizar en la generación de mezclas de concreto con material alternativo.

Fechas: del 26 de junio al 7 de julio

Pueden participar: Alumnos de IID y de ICA, no requieren conocimientos previos, trabajo netamente en laboratorio.

Si te interesa participar en este proyecto, puedes enviar un correo directamente al Dr. Isaí Reyes  igreyes@up.edu.mx.

Analysis of particle diffusion properties in a deterministic model

Dr. Héctor Eduardo Gilardi Velázquez

Project description: The stochastic description of a motion through a random noise, indeed, is quite awkward for physicists since one would like to have more control on the environment. Therefore, going toward a deterministic description of a Brownian motion is more than welcome. However, several approaches have been introduced so far for better understanding, for instance, the deep origin of the stochastic nature of a dynamical system. Zwanzig, Mori, Kac, Ford et al. [1] have been the first people who tried to show how starting from a Hamiltonian (deterministic) description of both environment and system, the random noise actually pops out once the environment degrees of freedom are somehow eliminated out. Some works [2] have been done for formalising Zwanzig's approach and understanding how to describe the stochastic noise knowing the microscopic details of the environment.

Recently, an article has been published where a bidimensional deterministic model for particle diffusion is presented [3], this model is based on six differential equations and the stochastic process has been replaced by switching laws, the objective of this proposal is to analyze the types of diffusion generated by this model by means of the mean squared displacement.   

[1] Ford, M. Kac, and P. Mazur, Journal of Mathematical Physics 6, 504 (1965); R. Zwanzig, Journal of Statistical Physics 9, 215 (1973), O. Caldeira and A. J. Leggett, Physica A: Statistical mechanics and its Applications 121, 587 (1983)

[2] Hoel H and Szepessy A 2020 Discrete & Continuous Dynamical Systems B 25 4001–38; Di Cairano, Loris. "On the derivation of a Nonlinear Generalized Langevin Equation." Journal of Physics Communications 6.1 (2022): 015002.

[3] Velázquez Pérez, S.E.; Campos-Cantón, E.; Huerta Cuellar, G.; Gilardi Velázquez, H.E. Bidimensional Deterministic Model for Diffusion and Settling of Particles. Axioms 2023, 12, 191. https://doi.org/10.3390/axioms12020191 

Dates: Jule 10th to July 28th

Pueden participar: Estudiantes con conocimientos en Física y Ecuaciones diferenciales. 

Si te interesa participar en este proyecto, puedes enviar un correo directamente al Dr. Héctor Gilardi  hgilardi@up.edu.mx.