Project Listing

This research topic addresses the configuration and study of low power system-on-chip (SoC) used in embedded systems where the autonomy is a key factor of success for the validity of any commercial project. We have experience in the research of FPGAs and system on chip modules based on Xilinx Zynq. The project might provide a common framework to compare the power consumption of embedded system and offering end-users with debugging capabilities to know where to put the efforts while designing for a low-power programable system on a SoC module.

This research topic addresses the deployment of wearable sensors that together with fixed nodes might be used in advanced energy management. We have experience in the application of hybrid systems for in indoor localization of people in smart buildings. The fixed IoT nodes provide an accurate positioning information and can be used as routers for uploading information to the cloud. Simulation of edge-devices plus the indoor localization techniques in IoT motes for a large deployment inside a smart building might be considered valuable.

Efficient Shared of Green Energy Consumption on Smart Buildings

This research topic addresses the deployment of IoT nodes on a smart building equipped with a shared renewable photovoltaic generation system. Collaborative economy and shared resources are in the background of this research line. Each flat owner will have IoT fixed nodes at the main consumer devices, requesting its service when best available. A credit system for each community should be envisaged so both the shared of green energy and efficiency are considered when connecting the devices. The IoT deployment shall be capable to control the electricity consumed by the equipments choosing the best time to be switched on lowering the electricity demand while maximizing the consumption of all the available generated green electricity. The goal is to match the generation of the photovoltaic system (green energy) with the demand so the community takes advantage of the whole green electricity generation. The IoT network would keep track of the delayed requests done by users, switching on the equipments based on a smart schedule, while reporting to everyone their consumption so the people behaviour could be changed to better use the energy.

This research line aims to experimentally investigate on advanced and high performance building materials and cast in place technologies. Some approaches focuses on nanotechnology applied for building technology, new cement based recycled materials and energy saving technologies.

Driver Assistance Systems (ADAS) have spread within the automotive industry, supporting the driver e.g. for braking, steering or automated systems like adaptive cruise control, automatic emergency braking or lane keeping assist. However, for automation level 3, these sub-functions require further developments concerning user acceptance to facilitate their adoption. The main goal of EPIC proposal is to contribute to the adoption of automated vehicles by considering the needs and requirements of all the road users (drivers and VRUs), assuring safe and acceptable integration of key

The proposal research is focused on the Radio Frequency (RF) devices development (sensors and antennas, basically), which allow to control and monitoring in real time the different energy status inside the buildings. Another important point in the research project is the design and development of the different elements based on Harvesting and rectennas, which allow to obtain energy from different eco-source. About the recetennas design, the main objective is to convert the electromagnetic power into direct current (DC) to feed the rest of the elements.

Increase in electric vehicle mobility has encouraged the growth of vehicle to grid technology. Vehicle to grid technology allows bidirectional power flow between the battery of electric vehicle and the power grid. In this project, a new control strategy for bidirectional battery charger is proposed. The proposed control strategy can charge and discharge an electric vehicle battery in fast mode. Also, topologies of the converter including renewable energies will be included to obtain very fast chargers

A virtual power plant (VPP) is a cloud-based distributed power plant that aggregates the capacities of heterogeneous Distributed Energy Resources (DERs) for the purposes of enhancing ower generation, as well as trading or selling power on the open market. The main aim of this project is to use the aggregated capabilities of the a lot of systems to participate in the grid supporting from the point of view of voltage and frequency.

The use of fiber optic sensors for the detection and monitoring of ionizing radiation has become quite popular in recent years, outstripping the classic sensors, both optical and electronic, due to a number of advantages such as small size and weight, multiplexing capabilities, immunity to electromagnetic interferences, stability, etc. These advantages have made them especially suitable in dosimetry and brachytherapy inside oncology areas in hospitals, nuclear waste containers and nuclear power plants facilities monitoring, sterilization and industrial applications, etc. A further interesting feature is their ability to be deployed over large areas, which permit monitor different locations simultaneously with easy handling systems. This feature makes these sensors especially suitable for environmental and border monitoring. A current choice when using optical fiber sensors is the use of fluorescence techniques, in which inorganic scintillators are used as transducers between ionizing radiation and visible one.

The mechanical engineering area from UAH is actively researching on new smart transport system based on railways. Freight and passenger transport on railways system can be improved and time optimized by creating new vehicles systems and by applying new smart algorithms to traffic and network control systems. The project CAPSULE deals with a new transport system for underground mobility, reducing drastically the travel time for passengers. This multidisciplinary project involves mechanical and electrical engineers as well as computer engineers and mathematicians