Accelerating Application-specific Energy-related Algorithms with High Performance Computing graphic cards

We are interested in got talent for research and implementation of guidance systems sensory. Systems that physiologically monitor the user to make decisions in the navigation in different spaces in emergency situations. These spaces can be structured spaces or diaphanous spaces where energy monitoring can play a key role in management of emergency situations in the SMART ENERGY program.

Ours is a connected world. Technological (power, communications and transportation) networks play a leading role in our daily lives. To cope with the technological challenges posed by the modern society, contemporary networked systems have became more flexible, involved and autonomous. Power and transportation networks are now equipped with batteries and have access to renewable sources of energy. This evolution has opened the door to more energy efficient operation schemes and to better user’s experience. However, it has also made the design, management and operation of the networks more difficult. Successful execution of those tasks requires a detailed modeling and analysis of the network and its terminals.

In particular, the objective of the present proposal is a collaborative research between the University of Alcalá and the Rey Juan Carlos University for the production of advanced biofuels from residual lignocellulosic biomass, combining both biological treatments and chemo-catalytic transformation stages.

Metal organic frameworks (MOFs) are hybrid crystalline materials, exhibiting high specific surface areas, controllable pore sizes and surface chemistry. These properties have made MOFs attractive for a wide range of applications including gas separation, gas storage and catalysis. They are one of the most promising candidates for CO2 capture due to their adsorption selectivity towards CO2.