Scientific objectives of the project: Develop new multi-objective optimization algorithms and/or variants of existing ones to characterize optimal and suboptimal solutions in problems with uncertainty. Develop new algorithms that allow simultaneously optimizing different concepts of design to find the optimal and suboptimal concepts not dominated...
The main scientific objective of the ROMOTOOLS project is to develop optimization tools to address problems with uncertainties. The case of energy management is a clear example of this type of systems. The main technological objective of this project is to make these energy management systems more intelligent, so that, if they handle more...
NeoPREDiCOM is a project coordinated between the Universitat Politècnica de València (UPV) and the University of the Basque Country (UPV/EHU). Specifically with the Intelligent Control Research Group (GICI) (https://www.ehu.eus/es/web/gici/). Main goals: There are two types of objectives: specific scientific objectives (where their achievement...
The HYDRONE project, which started last September 2021 and is funded by the State Research Agency in its program for young researchers, seeks the hybridization of hydrogen cells with current LiPo batteries, commonly used in most commercial drones used in civilian applications. The HYDRONE team, formed by researchers from the Instituto de...
Optimisation is an enabling technology with a direct impact: on the sustainable use of natural resources (raw materials and energy); on the continuous improvement of production processes; and on the performance that new product and service designs can offer. The advances made in this project are of a transversal nature and can contribute to...
As this is an applied research project, the aim is to validate the scientific developments obtained on different systems: energy management in μ-CHP based on PEM and sound crystal design. The background and current status in these particular areas are specified below. Related to multi-objective optimization we start from algorithms developed in...
iCAREPLAST addresses the cost and energy-efficient recycling of a large fraction of today's non-recyclable plastics and composites from urban waste. Heterogeneous plastic mixtures will be converted into valuable chemicals via chemical routes. This multistage process will also yield carbon char and a pure CO2 stream as products, whilst it will...
The present project aims, on the one hand, to develop advanced tools to apply the multiobjective optimization methodology in the design of control systems for complex multivariable processes and, on the other hand, to advance in the development of multivariable controllers using multiobjective optimization, with special emphasis on model-based...
SUMMARY: In this project modeling, monitoring and control processes for microwave sintered materials are developed. This technique is a new application, emerged as an alternative method, has a number of advantages over conventional sintering methods: Rapid distribution of heat evenly. Materials require much less energy to be microwave sintered by...
This project aims to advance in the optimal control of hybrid vehicles. To achieve this goal, the following objectives are set: Developing an engine model capable of integrating the effect of temperature variation on engine emissions and consumption in a hybrid system. In this project we used average values models (MVEM). A part of the research...