Competences and skills that will be acquired and learning results - Design a data acquisition system to fit some specific thermal process application. - Measurement of errors and uncertainty associated to industrial monitoring. - Identify the most suitable signal analysis methodology to recover information from measured time series. - Understand the control strategies used in conventional control systems found in industrial thermal processes. - To characterize a control loop using the dynamic analysis by transient response. - Understand the measurement techniques employed in renewable energies, focusing on concentrating solar technologies. Learning outcome At the end of the course program the students will be able to design a monitoring and control system to fit a specific industrial or research application within the framework of thermal processes. The design should include the description of the instrumentation to fulfill the minimum data acquisition requirements of the control systems, the control strategy to be used, and the digital signal processing to be applied on the collected signals.

1- Introduction, measurement errors and uncertainty 2- Data acquisition systems and signal processing. 3- Industry sensors: measurement techniques (temperature, pressure, level, ...). 4- Conventional control feedback systems for thermal processes. 5- Tunning control systems. 6- Advanced control systems for thermal processes. 7- Project 1: Experimental project aiming and controlling Fresnel heliostats. 8- Project 2: Control simulatoin of an industrial process.

- Lectures covering the main topics described within the course program. (1 ECTS) - Problem solving and case study lectures, where some issues are addressed from a practical point of view (1,5 ECTS). - Laboratory and practical sessions, where the student can apply the concepts learn and face the monitoring and control solution adopted in real applications. (0.5 ECTS)