Defesa de Exame de Qualificação – Diogo Ortiz Machado – 18/9/2020
14/10/2020 17:55
| Defesa de Exame de Qualificação | |
| Aluno | Diogo Ortiz Machado |
| Orientador | Prof. Julio Elias Normey-Rico, Dr. – DAS/UFSC |
| Coorientador | Prof. Gustavo Artur de Andrade, Dr. – DAS/UFSC |
| Data | 18/9/2020 (sexta-feira) – 10h
Videoconferência |
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Banca |
Prof. Daniel Ferreira Coutinho, Dr. – DAS/UFSC (presidente);
Prof. Rafael Frota Reinaldo, Dr. – CENPES/PETROBRAS; Prof. Carlos Bordons Alba, Dr. – Universidad de Sevilla. |
| Título | Exergy Based Control and Optimization on Concentrating Sola Power Plants |
| Abstract: This work is based on four concepts: exergy, control, optimization, and thermo-solar generation. The initiative is towards Renewable Energy production and Energy Efficiency integration, thus, collaborating with the United Nations 2030 Agenda and the Intergovernmental Panel on Climate Change objectives. Exergy, or useful energy, is used here as an important measure to integrate Concentrating Solar Power (CSP) sub-systems once it is a common thermodynamic quantity across energy systems. This enables a comparison between processes with different types of energy, since political-economic to technologic-operational contexts. The exergy balance is a systematic approach and, therefore, offers advantages for model based control and optimization systems design. These systems, in its turn, are necessary means to obtain a desirable operation, thus, achieve safe and optimal performances. Nevertheless, to define operation points and dynamic performances are generally used in literature an energy balance which does not consider energy quality, thereby, literature references count on custom solutions. To contribute in this line is proposed a basis concepts combination aiming reference tracking, disturbance rejection and exergetic optimization on thermosolar energy production systems. Partial results show that the idea is promising. The main literature hierarchical control approaches on solar collectors’ sub-system were compared. The presented optimization was used and coupled with a non-linear predictive controller. The proposed hierarchical control has the best result for the analyzed cases considering useful energy production and set-point tracking. Furthermore, the suggested control is capable of operating along an all-day simulation not needing ad hoc solutions for start-up and shutdown of the plant at the sunrise and sunset. Thus, starting from this theoretical basis, the results should be extended to develop control systems which integrate the plant sub-systems. | |
