Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Charging EV station forecasting and location model for Mexico’s private sector(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-06-13) Hernández Salazar, Aldo; Ríos Solís, Yasmín Águeda; emimmayorquin; Jacobo Romero, Yulitza Yazmin; Shcool of Engineering and Sciences; Campus Monterrey; Probst, OliverThe decarbonization of the transport sector is critical for addressing climate change, with electric vehicles (EV) representing a pivotal solution. This thesis focuses on forecasting EV adoption and optimizing charging stations’ location in Mexico’s private sector. The study examines relevant national and international regulations and existing EV adoption models through a comprehensive literature review. Data collection incorporates national statistics, energy consumption records, and market reports on EV sales and adoption rates. Using statistical methods, the research develops multiple scenarios for EV adoption up to 2030. A mixed integer programming model is then constructed to maximize the profitability of charging station placements, considering constraints such as budget, parking availability, and electrical capacity. A detailed case study with anonymized data from Iberdrola’s clients is conducted, simulating the model to determine optimal charging station locations and configurations. The results provide valuable insights into the infrastructure needed to support the transition to EVs in Mexico, offering strategic recommendations for stakeholders. The study concludes with suggestions for future research, emphasizing the importance of real-time data and expanding the analysis to public charging infrastructure. This work aims to contribute significantly to Mexico’s sustainable energy transition and develop an efficient, widespread EV charging network.
- Mathematical modeling of ultrasonic micro injection molding using dimensional analysis for manufacturing polymeric parts(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-11-23) Salazar Meza, Marco; Elías Zúñiga, Alex; hermlugo/tolmquevedo; Olvera Trejo, Daniel; Escuela de Ingeniería y Ciencias; Campus Monterrey; Martínez Romero, OscarUltrasonic micro injection molding is a novel processing method to produce micro-scaled specimens at low production volumes that overcomes the material degradation originated by high residence times, and reduces material waste compared to conventional injection molding. Ultrasonic micro injection molding deals with ultrasonic energy and polymers under cyclic loads which experience a phase-change from solid to a non-Newtonian fluid flowing to fill a mold. Attempts have been made to study each of the steps of the process, all of them needing powerful FEM software and the establishment of several assumptions to simplify the calculus on the otherwise thermomechanical coupled problem with different time scales. This research work presents a methodology to reduce the mathematical complexity of the process while preserving the physics of the system through the usage of dimensional analysis. A correct relationship of processing parameters and energy consumption values was obtained using four different polypropylenes with distinct mechanical properties, all of them fitting adequately in the proposed formulation composed of dimensionless groups obtained through the Buckingham-Pi Theorem. A mathematical expression capable of quantitatively predict energy consumption from processing parameters was obtained. Additionally, a relationship between the processing parameters and the Young’s Modulus of the produced specimens was found, and a mathematical expression to calculate this property using processing parameters was stablished.