Banca de DEFESA: DANIELLE FERNANDES SILVA DA PAIXÃO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : DANIELLE FERNANDES SILVA DA PAIXÃO
DATE: 10/02/2022
TIME: 09:00
LOCAL: videoconferência na plataforma RNP (sala PEI-UFBA)
TITLE:

DYNAMIC MODELING AND OPTIMIZATION OF A THERMAL DESALINATION PROCESS WITH SOLAR ENERGY

KEY WORDS:

MODELING; OPTIMIZATION; PROCESS; SOLAR ENERGY

PAGES: 148
BIG AREA: Engenharias
AREA: Engenharia de Produção
SUMMARY:

Potable water scarcity is a global reality. The use of saltwater desalination technologies is a promising alternative to minimize the shortage of this resource. These technologies, however, require large amounts of thermal and/or electrical energy and, when combined with fossil fuels, intensify environmental pollution. Therefore, an alternative to using these energy sources is the use of renewable energy. Solar energy is an example of a renewable energy matrix that is abundant in the environment, with high potential for use in some parts of the world, such as Brazil, which has high levels of irradiation throughout the year. Solar energy depends on irradiation, presence of clouds, ambient temperature and other factors and these have great variability over time. The desalination processes that use this energy source are influenced by these variables, which can impact distillate production and profitability. Therefore, it is necessary to evaluate the behavior of these variables over time and propose strategies that aim to maximize the production of desalinated water, as it is an essential consumer good for humanity. This work aims to evaluate the dynamic behavior of the main input variables of the desalination process coupled with solar energy, to verify how these affect the process and which variables have the greatest influence on freshwater production. Multi-effect distillation was the chosen desalination technique, as it is a process that requires a large amount of thermal energy and soon adapts well to the proposed use of solar energy. Data from the desalination plant at the Almeria Solar Platform, located in Spain, were used, due to the greater number of works found in the literature on the subject. Modeling of the solar collector system, thermal energy storage tank and multi-effects distillation system was carried out. The results showed that irradiation is the variable that has the greatest impact on the production of distillates over time and that the flow that circulates in the solar collector can be manipulated to control the output variables against disturbances in the process.
Furthermore, this dissertation presents the mapping of the objective function related to profit and approaches linear and dynamic optimization strategies of the studied system in order to propose the best trajectory of the decision variables in order to maximize the production of distillate. The optimization method used was the orthogonal positioning method and Dynopt was used to solve the problem. A sensitivity analysis of the orthogonal positioning parameters was also performed to assess the profile of these that best meets the process constraints with greater profit, with a more realistic operation possible. With the optimization, it was possible to obtain a distillate production of 6.77m³ in 6h with a Profit equivalent to U$$3.18 for the parameters: state variables - n_x = 3; control variables - n_u = 1; interval number - n_i = 1 of the orthogonal positioning method in Dynopt. The simulated results were compared with profiles found in the literature considering one and two decision variables. It was observed that, for two decision variables, the accumulated distillate was higher. It is expected that this work can contribute to the application of strategies aimed at increasing the productivity of desalination processes coupled with solar energy.

BANKING MEMBERS:
Externa à Instituição - Lídia Roca Sobrino
Presidente - 3495808 - KAREN VALVERDE PONTES VATER
Externo ao Programa - 2042003 - MARCUS VINICIUS AMERICANO DA COSTA FILHO