Proyectos

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]-[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]-[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]This project will address the implementation of distributed controllers in intelligent agents within AC/DC electrical microgrids. Specifically, this project will address open issues in the distributed control literature for microgrids; these include optimal parameter tuning and resilience to communications disturbances such as transport delays, packet loss, and communication failures due to cyberattacks. All of these are important components that prevent the proliferation of microgrid projects throughout the country and the world. Microgrids have the potential to improve the energy management of renewable resources and the resilience of current and future electrical systems. Furthermore, they aid in decarbonization and benefit the energization of isolated communities and national industries. Based on the above, the main objective of this research is to formulate, implement, and validate distributed intelligent controllers, using reinforcement learning, in agents that comprise interconnected AC/DC microgrids, in order to achieve optimal operation concerning available energy resources despite disturbances and failures in communication channels. To achieve this objective, the following specific objectives are specified: (i) investigate the state of the art in the use of reinforcement learning algorithms in cooperative multi-agent system control and their application to microgrids; (ii) design a deep reinforcement learning algorithm to auxiliary control an ILC of a hybrid AC/DC microgrid with communication loss and variable time delays; (iii) design a distributed controller with parameter and structure adjustment capability through deep reinforcement learning algorithms for the agents of an AC/DC multi-microgrid with communication losses and variable time delay; (iv) design a robust distributed controller through deep reinforcement learning algorithms that allows agents in an AC/DC multi-microgrid to be resilient to heterogeneous and variable transport delays, loss of data packets, and DoS cyber-attacks; (v) build a prototyping platform for multi-agent-based intelligent agent control schemes with digital twin co-simulation; (vi) implement and validate the proposed reinforcement learning controllers in an AC/DC multi-microgrid experimental setup.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]This project will address the implementation of distributed controllers in intelligent agents within AC/DC electrical microgrids. Specifically, this project will address open issues in the distributed control literature for microgrids; these include optimal parameter tuning and resilience to communications disturbances such as transport delays, packet loss, and communication failures due to cyberattacks. All of these are important components that prevent the proliferation of microgrid projects throughout the country and the world. Microgrids have the potential to improve the energy management of renewable resources and the resilience of current and future electrical systems. Furthermore, they aid in decarbonization and benefit the energization of isolated communities and national industries. Based on the above, the main objective of this research is to formulate, implement, and validate distributed intelligent controllers, using reinforcement learning, in agents that comprise interconnected AC/DC microgrids, in order to achieve optimal operation concerning available energy resources despite disturbances and failures in communication channels. To achieve this objective, the following specific objectives are specified: (i) investigate the state of the art in the use of reinforcement learning algorithms in cooperative multi-agent system control and their application to microgrids; (ii) design a deep reinforcement learning algorithm to auxiliary control an ILC of a hybrid AC/DC microgrid with communication loss and variable time delays; (iii) design a distributed controller with parameter and structure adjustment capability through deep reinforcement learning algorithms for the agents of an AC/DC multi-microgrid with communication losses and variable time delay; (iv) design a robust distributed controller through deep reinforcement learning algorithms that allows agents in an AC/DC multi-microgrid to be resilient to heterogeneous and variable transport delays, loss of data packets, and DoS cyber-attacks; (v) build a prototyping platform for multi-agent-based intelligent agent control schemes with digital twin co-simulation; (vi) implement and validate the proposed reinforcement learning controllers in an AC/DC multi-microgrid experimental setup.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]Implementación de una ruta de turismo arqueológica y paleontológica que abarque tres comunas: San Vicente de Tagua Tagua, Navidad y San Fernando.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]Implementación de una ruta de turismo arqueológica y paleontológica que abarque tres comunas: San Vicente de Tagua Tagua, Navidad y San Fernando.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]We investigate how rain-mediated mechanical processes influence the spread of pathogens under field conditions. While it is well established that water is a primary vector for bacterial movement between plants, few studies have examined the detailed hydrodynamic mechanisms involved, particularly in the context of leaf morphology, surface roughness, and microbial adhesion. This gap restricts our ability to develop predictive models and preventive strategies for managing rain-borne plant diseases. The project's general objective is to elucidate the coupling between raindrop impact dynamics and bacterial dispersal patterns on cherry leaves under realistic rainfall conditions. Specifically, it aims to (i) characterize the mechanical interaction between raindrops and cherry leaves using high-speed imaging and physical analysis to observe the dispersal patterns of Pseudomonas syringae pv. syringae (Pss). (ii) evaluate the spatial dispersal of Pss inoculated artificially onto cherry leaves at different concentrations under controlled temperature and rainfall conditions, and (iii) develop an integrative predictive model based on physical variables of rain-leaf interaction and experimentally measured environmental conditions to estimate the dispersal and severity of Pss attack. Methodologically, our study combines high-speed photography, controlled laboratory rain simulations, and microbiological assays. We will perform experiments in a custom-designed rainfall simulator allowing precise control of droplet size, velocity, and impact angle. Bacterial suspensions of Pseudomonas syringae—a pathogen commonly associated with cherry canker—will be applied to leaves under standardized conditions. The dynamics of droplet impact, splash formation, and secondary droplet ejection will be recorded at high temporal resolution to quantify mechanical energy transfer and spatial distribution of splashed particles. Parallel microbiological analyses will determine bacterial survival rates, concentration profiles, and the extent of leaf-to-leaf contamination. We will integrate these results into a predictive model linking rainfall characteristics to potential bacterial dispersal distances and infection probabilities. We aim to enhance our understanding of the biophysical coupling between rainfall and pathogen mobility, establish a set of empirical relationships for disease spread modeling, and provide practical recommendations for orchard management under varying climatic scenarios. By bridging the gap between plant pathology and fluid mechanics, this project will provide a mechanistic foundation for reducing rain-mediated bacterial diseases in high-value fruit crops, contributing to the sustainability and resilience of O'Higgins agriculture.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]We investigate how rain-mediated mechanical processes influence the spread of pathogens under field conditions. While it is well established that water is a primary vector for bacterial movement between plants, few studies have examined the detailed hydrodynamic mechanisms involved, particularly in the context of leaf morphology, surface roughness, and microbial adhesion. This gap restricts our ability to develop predictive models and preventive strategies for managing rain-borne plant diseases. The project's general objective is to elucidate the coupling between raindrop impact dynamics and bacterial dispersal patterns on cherry leaves under realistic rainfall conditions. Specifically, it aims to (i) characterize the mechanical interaction between raindrops and cherry leaves using high-speed imaging and physical analysis to observe the dispersal patterns of Pseudomonas syringae pv. syringae (Pss). (ii) evaluate the spatial dispersal of Pss inoculated artificially onto cherry leaves at different concentrations under controlled temperature and rainfall conditions, and (iii) develop an integrative predictive model based on physical variables of rain-leaf interaction and experimentally measured environmental conditions to estimate the dispersal and severity of Pss attack. Methodologically, our study combines high-speed photography, controlled laboratory rain simulations, and microbiological assays. We will perform experiments in a custom-designed rainfall simulator allowing precise control of droplet size, velocity, and impact angle. Bacterial suspensions of Pseudomonas syringae—a pathogen commonly associated with cherry canker—will be applied to leaves under standardized conditions. The dynamics of droplet impact, splash formation, and secondary droplet ejection will be recorded at high temporal resolution to quantify mechanical energy transfer and spatial distribution of splashed particles. Parallel microbiological analyses will determine bacterial survival rates, concentration profiles, and the extent of leaf-to-leaf contamination. We will integrate these results into a predictive model linking rainfall characteristics to potential bacterial dispersal distances and infection probabilities. We aim to enhance our understanding of the biophysical coupling between rainfall and pathogen mobility, establish a set of empirical relationships for disease spread modeling, and provide practical recommendations for orchard management under varying climatic scenarios. By bridging the gap between plant pathology and fluid mechanics, this project will provide a mechanistic foundation for reducing rain-mediated bacterial diseases in high-value fruit crops, contributing to the sustainability and resilience of O'Higgins agriculture.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]El presente proyecto propone estudiar las intrusiones de agua marina (SWI, por sus siglas en inglés) en la localidad costera de Bucalemu, comuna de Paredones, Región de O’Higgins, con el objetivo de entender cómo las variaciones del nivel del mar y la llegada de Ríos Atmosféricos afectan la salinidad de suelos y cuerpos de agua costeros. Las SWIs constituyen un fenómeno en aumento debido al cambio climático y al alza sostenida del nivel medio del mar, lo que impacta negativamente los recursos hídricos, la calidad del suelo y la productividad agrícola. El proyecto surge como una extensión del trabajo previo realizado en Pichilemu por la Universidad de O’Higgins (proyecto URO RED21992), donde se evidenció un incremento en la conductividad eléctrica del suelo y la salinidad del estero San Antonio, asociados a eventos de lluvias intensas y marejadas vinculadas a Ríos Atmosféricos. Bucalemu, además de su importancia turística y pesquera, enfrenta presiones sobre su acuífero, declarado en restricción por el Ministerio de Obras Públicas, lo que refuerza la necesidad de un monitoreo científico del fenómeno. Desde una perspectiva interdisciplinaria, la investigación combina la geofísica, la edafología y la hidrogeología. La geofísica permitirá registrar las variaciones del nivel del mar y del estero mediante la técnica de reflectometría interferométrica GNSS (GNSS-IR), una metodología innovadora y costo-efectiva que usa señales satelitales para medir cambios de altura en cuerpos de agua. La edafología abordará los impactos de la salinidad en el suelo mediante muestreos sistemáticos a diferentes profundidades, mientras que la hidrogeología contribuirá a interpretar los procesos de mezcla entre agua dulce y salada. Las hipótesis de trabajo plantean que las variaciones de marea y los Ríos Atmosféricos generan incrementos de la conductividad eléctrica del suelo cerca de la desembocadura del estero, y que el impacto de las SWIs disminuye tierra adentro. Los objetivos específicos incluyen medir simultáneamente niveles de mar y agua, identificar y caracterizar Ríos Atmosféricos, analizar su relación con la salinidad del suelo, y realizar seminarios de difusión científica en la comunidad. La metodología contempla la instalación de dos estaciones GNSS y un sensor de conductividad eléctrica Teros- 12, junto a campañas de muestreo de suelo en invierno y verano. Los datos se complementarán con análisis de series temporales y catálogos de Ríos Atmosféricos derivados del reanálisis ERA5. Asimismo, se realizarán vuelos con dron para obtener modelos de elevación de alta precisión y determinar áreas vulnerables a inundación marina. El equipo de trabajo está liderado por el Dr. Raúl Valenzuela, experto en Ríos Atmosféricos y mediciones GNSS, junto a la Dra. Claudia Rojas, especialista en edafología, y el Dr. Etienne Bresciani, con experiencia en hidrogeología costera. La colaboración internacional incluye al Dr. Pierre Bosser (ENSTA Bretagne, Francia), experto en GNSS-IR. El proyecto contribuirá al manejo hídrico sostenible y la adaptación al cambio climático en la Región de O’Higgins, fortaleciendo el conocimiento científico y la resiliencia costera mediante una aproximación interdisciplinaria. Se espera que sus resultados sirvan como base para políticas públicas orientadas a la gestión del borde costero y la protección de ecosistemas como el Humedal de Bucalemu.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]El presente proyecto propone estudiar las intrusiones de agua marina (SWI, por sus siglas en inglés) en la localidad costera de Bucalemu, comuna de Paredones, Región de O’Higgins, con el objetivo de entender cómo las variaciones del nivel del mar y la llegada de Ríos Atmosféricos afectan la salinidad de suelos y cuerpos de agua costeros. Las SWIs constituyen un fenómeno en aumento debido al cambio climático y al alza sostenida del nivel medio del mar, lo que impacta negativamente los recursos hídricos, la calidad del suelo y la productividad agrícola. El proyecto surge como una extensión del trabajo previo realizado en Pichilemu por la Universidad de O’Higgins (proyecto URO RED21992), donde se evidenció un incremento en la conductividad eléctrica del suelo y la salinidad del estero San Antonio, asociados a eventos de lluvias intensas y marejadas vinculadas a Ríos Atmosféricos. Bucalemu, además de su importancia turística y pesquera, enfrenta presiones sobre su acuífero, declarado en restricción por el Ministerio de Obras Públicas, lo que refuerza la necesidad de un monitoreo científico del fenómeno. Desde una perspectiva interdisciplinaria, la investigación combina la geofísica, la edafología y la hidrogeología. La geofísica permitirá registrar las variaciones del nivel del mar y del estero mediante la técnica de reflectometría interferométrica GNSS (GNSS-IR), una metodología innovadora y costo-efectiva que usa señales satelitales para medir cambios de altura en cuerpos de agua. La edafología abordará los impactos de la salinidad en el suelo mediante muestreos sistemáticos a diferentes profundidades, mientras que la hidrogeología contribuirá a interpretar los procesos de mezcla entre agua dulce y salada. Las hipótesis de trabajo plantean que las variaciones de marea y los Ríos Atmosféricos generan incrementos de la conductividad eléctrica del suelo cerca de la desembocadura del estero, y que el impacto de las SWIs disminuye tierra adentro. Los objetivos específicos incluyen medir simultáneamente niveles de mar y agua, identificar y caracterizar Ríos Atmosféricos, analizar su relación con la salinidad del suelo, y realizar seminarios de difusión científica en la comunidad. La metodología contempla la instalación de dos estaciones GNSS y un sensor de conductividad eléctrica Teros- 12, junto a campañas de muestreo de suelo en invierno y verano. Los datos se complementarán con análisis de series temporales y catálogos de Ríos Atmosféricos derivados del reanálisis ERA5. Asimismo, se realizarán vuelos con dron para obtener modelos de elevación de alta precisión y determinar áreas vulnerables a inundación marina. El equipo de trabajo está liderado por el Dr. Raúl Valenzuela, experto en Ríos Atmosféricos y mediciones GNSS, junto a la Dra. Claudia Rojas, especialista en edafología, y el Dr. Etienne Bresciani, con experiencia en hidrogeología costera. La colaboración internacional incluye al Dr. Pierre Bosser (ENSTA Bretagne, Francia), experto en GNSS-IR. El proyecto contribuirá al manejo hídrico sostenible y la adaptación al cambio climático en la Región de O’Higgins, fortaleciendo el conocimiento científico y la resiliencia costera mediante una aproximación interdisciplinaria. Se espera que sus resultados sirvan como base para políticas públicas orientadas a la gestión del borde costero y la protección de ecosistemas como el Humedal de Bucalemu.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]