Defesa de Dissertação de Mestrado – Alice Ferreira Branco – 30/8/2019
24/09/2019 15:22
| Defesa de Dissertação de Mestrado | |
| Aluno | Alice Ferreira Branco |
| Orientador | Prof. Julio Elias Normey-Rico, Dr. – DAS/UFSC |
| Coorientador | Prof. Gustavo Artur de Andrade, Dr. – DAS/UFSC |
| Data | 30/8/2019 (sexta-feira) – 9h00
Sala PPGEAS II (piso inferior) |
| Banca | Prof. Julio Elias Normey-Rico, Dr. – DAS/UFSC (presidente);
Profa. Rafaela Reinaldo, Dra. – PETROBRAS; Prof. Daniel Martins Lima, Dr. – UFSC/Blumenau; Prof. Marcelo de Lellis Costa de Oliveira, Dr. – DAS/UFSC. |
| Título | Modelling and Control of Thermal Solar Energy Generation Process |
| Abstract: This master’s dissertation presents the modelling of a solar termal energy generation process and the advanced control algorithm applied to it to maximize energy efficiency. It is easy to find in the literature a good model for each subsystem of a solar energy process, but there aren’t many articles which focus on the modelling of the whole process, especially the one used in this work, with indirect solar heating system: a solar collector field, two storage tanks, a steam generator, a gas heater, a steam turbine, an electricity generator and a condenser. Thus, a complete modelling of each subsystem was conducted and brought together to simulate the entire process. It is importante to have a satisfactory modelling of the system, so that it describes its dynamics, but which is not too complex to simulate on a computer. The system’s model is essential especially because of the control technique used to control the system: Model Predictive Control, MPC, which uses the prediction of the system’s output based on its model to calculate the control law. MPC was used to control the process with the intent to optimize the energy generated by the system. Also, a state machine was implemented to decide which equipment will be turned off, depending on its temperature condition, aiming to avoid unnecessary energy consumption. Simulation results with real data for a day are presented to depict how the state machine and control strategies chosen will work on the selected model. | |
