- Analysis of the design and off-design behavior of individual power generation systems, of various types and complexity, fueled by fossil and renewable sources. These include: solar plants (photovoltaic or concentration), wind, geothermal, thermal plants of various types (combined plants, gas turbines, steam plants, ORC (Organic Rankine Cycles) plants, internal combustion engines).

- Combined and cogeneration systems: for combined production of electricity, heat and cold (gas-steam plants with natural gas or with gasifier integrated or not with concentrated solar plants or photovoltaic and thermal plants), cogeneration plants based on internal combustion engines microturbines, power plants integrating internal combustion engines with ORC systems or absorption systems, biomass plants for the production of electricity, heat and other fuels (for example, ethanol or high hydrogen fuels).

- Multi-energy systems integrating one or more of the units mentioned in the points above, whether fueled by renewable sources or fossil fuels. These systems are usually called "multi-energy systems" or "smart energy systems". The objective is to study more or less large portions of geographical areas in which a variety of these conversion systems can be found, whose design and operation must be optimized together with that of the networks that transport the different types of energy produced.

- Thermal, potential, mechanical energy storage: techniques and models for optimizing the integration between energy conversion systems and users in the presence of storage.

- Methods for analyzing and optimizing energy systems: exergoeconomic methods, emergy analysis methods, life cycle analysis methods, thermodynamic, economic and environmental optimization methods that consider one or more objectives at a time.

- Thermal, potential, mechanical energy storage: techniques and models for optimizing integration between energy conversion systems and utilities in the presence of storage.

- Energy system analysis and optimization methods: exergoeconomic methods, emergetic methods, life cycle analysis methods, thermodynamic, economic and environmental optimization methods that consider one or more objectives at a time.

Energy communities and optimal coupling between energy generation and consumption:
- Development of criteria for energy-economic-environmental optimization of aggregations of users in energy communities.
- Techniques for equitable distribution of community revenues among its various members;
- optimization of demand response programs and for better integration of energy generation and consumption.

Dynamic modelling and development of control systems for energy conversion and storage systems

Performance analysis and design methods of turbomachinery using fluid dynamic simulations and laboratory experimental tests: radial, axial and cross-flow fans, radial and axial expanders.

Fluid dynamic analysis and experimentation of gas turbine combustors with emphasis on flame pulsation phenomena and emissions.

Proposals for master's theses in the subject area of ENERGY SYSTEMS.

THESIS ON ANALYSIS AND OPTIMIZATION OF SYSTEMS AND COMPONENTS

Smart city: evolution of energy systems and distribution networks of a city

Energy communities (aggregations of users-producers): optimization of the project and operation for better management of energy demand (by demand-response programs) and for integration with energy conversion and storage systems (also in collaboration with a company)

Green hydrogen and alternative fuels: optimization of systems for generation, storage and distribution

Storage systems for different forms of energy (thermal, potential, electrochemical, with liquid air, compressed air, etc.) and integration in complex energy systems: research and application of the best

Plants for the recovery of "lean" energy (medium and low temperature heat flows): supercritical CO2 cycles and organic fluid (ORC) plants (in the laboratory or in collaboration with the company)

Multi-objective optimization (energy, environmental, economic) of complex configurations of "Smart Multi-Energy Systems" and related power, heat and fuel distribution networks for the best coupling between energy production and demands

Stochastic optimization of energy systems powered by renewable and traditional sources with prediction of scenarios of uncertain variables

Configurations of innovative systems with a combinatorial approach of single elementary thermodynamic cycles or parts of them (HEATSEP and SYNTHSEP methods)

Energy system of the future: multi-objective optimization models to define its evolution, taking into account all the techno-economic, environmental, social, legislative constraints, ....

Development of artificial intelligence techniques for the study of the dynamic behavior and control of energy conversion and storage plants

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THREE-YEAR DEGREE THESIS IN THE THEMATIC AREA OF ENERGY SYSTEMS

Thesis on the various types of power, heat or fuel generation plants that use fossil or renewable sources (biomass, sun, wind).


Concrete actions and scenarios for the fight against climate change in agreement with the 17 UN goals

"Smart multi energy systems" for the improvement of our society (smart cities, smart districts,...)