Les stratégies de contrôle d’écoulement, telles que le soufflage / aspiration, ont prouvé leur efficacité à modifier les caractéristiques d’écoulement à des fins diverses en cas de configurations usuellement simples. Pour étendre cette approche sur des cas industriels, la simulation de dispositifs à échelle réelle et l’optimisation des paramètres de contrôle s’avèrent nécessaires. L’objectif de cette thèse est de mettre en place une procédure d’optimisation pour résoudre cette catégorie de problèmes. Dans cette perspective, l’organisation de la thèse est divisé en trois parties. Tout d’abord, le développement et la validation d’un solveur d’écoulement turbulent compressible instationnaire, résolvant les équations de Navier-Stokes moyennées (RANS) dans le cadre d’une discrétisation mixte de type éléments finis / volumes finis (MEV) sont présentés. Une attention particulière est portée sur la mise en œuvre de modèles numériques de jet synthétique à l’aide de simulations sur une plaque plane. Le deuxième axe de la thèse décrit et valide la mise en œuvre d’une méthode d’optimisation globale basée sur un modèle réduit du type processus gaussien (GP), incluant une approche de filtrage d’erreurs numériques liées aux observations. Cette méthode EGO (Efficient Global Optimization), est validée sur des cas analytiques bruités 1D et 2D. Pour finir, l’optimisation de paramètres de contrôle de jet synthétique sur deux cas test pertinents pour les industriels : un profil d’aile NACA0015, avec objectif de maximiser la portance moyenne et une marche descendante avec objectif de minimiser la longueur de recirculation moyenne. / Active flow control strategies, such as oscillatory blowing / suction, have proved their efficiency to modify flow characteristics for various purposes (e.g. skin friction reduction, separation delay, etc.) in case of rather simple configurations. To extend this approach to industrial cases, the simulation of a large number of devices at real scale and the optimization of parameters are required. The objective of this thesis is to set up an optimization procedure to solve this category of problems. In this perspective, the organization of the thesis is split into three main parts. First, the development and validation of an unsteady compressible turbulent flow solver using the Reynolds-Averaged Navier-Stokes (RANS) using a Mixed finite-Element/finite-Volume (MEV) framework is described. A particular attention is drawn on synthetic jet numerical model implementation by comparing different models in the context of a simulation over a flat plate. The second axis of the thesis describes and validates the implementation of a Gaussian Process surrogate model based global optimization method including an approach to account for some numerical errors during the optimization. This EGO (Efficient Global Optimization) method, is validated on noisy 1D and 2D analytical test cases. Finally, the optimization of two industrial relevant test cases using a synthetic jet actuator are considered: a turbulent flow over a NACA0015 for which the time-averaged lift is regarded as the control criterion to be maximized, and an incompressible turbulent flow over a Backward Facing Step for which the time-averaged recirculation length is minimized.

The thesis discuses an integration of photovoltaic power stations to electric network. The first part describes connecting conditions of small sources to distribution system, including administrative requirements, feasibility study, and requirements to the energy meters, measuring, control devices, switching devices and protection. The second part is aimed to describe problems of the photovoltaic system. Solar radiation generating and reducing of its intensity incident upon the earth surface are described in this part. The quantum of produced electric power depends on climatic conditions in the fixed area, seasons, etc. This work also discusses the types of photovoltaic cells and their actual efficiency. Inverters are further important components of the photovoltaic system. The parameters of the inverters have a great influence on the total actual efficiency of the photovoltaic system. Different methods of the photovoltaic panels’ connection with the inverters and their advantages and disadvantages are also mentioned. The supporting structure of the photovoltaic panels and eventually transformer are further important components of photovoltaic system. The work also analyze the methods of connection of the photovoltaic power station to distributive low voltage and medium voltage network, electric energy accumulation and possibilities of the sale of produced electric energy. The large number of the connected photovoltaic power stations has negative influences to electric network. The third part contains the design of a photovoltaic power plant with a capacity of 516,24 kWp on the scoped area in southern Bohemia. The project documentation for the location where the power plant is designed is also made. It contains the design of photovoltaic panels, the design of the inverters to get an optimal power load. This part also contains a calculation of the photovoltaic system losses and the design of transformer and the cable junction calculation of the distributive system. The feasibility study of the power plant connected to distributive system is also conducted. Its delivery rate will be connected to the distribution point Řípov (110/22 kV). The calculation results show us that this photovoltaic power plant can be linked to the distribution system. The final part of this paper contains an economic estimate of the photovoltaic power plant operating and the calculation of the return. An Economic return is influenced by the wide range of values that affect the total return rate. The calculation of an operating economy is made for several variants. The return rate in refer to contemporary redemption price for 2010 with no consideration for a bank loan is 7 years. If we consider the bank loan it would be 12 years. The penetrative reduction of the redemption price is expected for 2011. Calculation works with the decline of 30 %. It would extend the rate of return to 11 years without a bank loan or to 22 years with the bank loan. The bank loan is considered to cover 80 % of the investment.