Development of Multi-objective Optimization Tools for problems with uncertainty. Application to control and energy management problems in micro-CHP systems based on hydrogen cells.

Scientific objectives of the project:

1. Develop new multi-objective optimization algorithms and/or variants of existing ones to characterize optimal and suboptimal solutions in problems with uncertainty.
2. Develop new algorithms that allow simultaneously optimizing different concepts of design to find the optimal and suboptimal concepts not dominated in scenarios with uncertainty.
3. Incorporate mechanisms into these algorithms, to be able to address optimization problems with high computational cost. For example, through parallelization or with exploration properties and convergence based on statistical properties.
4. Develop new relevant indicators/objectives for use in optimization problemsapplied to energy management in microCHP systems.
5. Improve the tools of the decision phase to consider problems with uncertainties and multiple concepts.

Technological objectives of the project appliying results to EMS for micro-CHP systems:

1. Develop and implement a techno-economic model of the microCHP system. It must be possible efficiently simulate the model against the demand profiles for electrical and thermal energy typical, for a full year in a domestic installation.
2. Design the energy management strategies (EMS) for microCHP system and the adjustment of its parameters through multi-objective optimization techniques on the techno-economic model.
3. Implement the system designed on an embedded platform based on an NI CompactRIO.