Floating photovoltaic (FPV) plants in reservoirs can contribute to reduce water evaporation, increase power generation efficiency, due to the cooling process, and reduce competitiveness in land use. Based on this motivation we propose a new methodology for sizing FPV plants in dams of semi-arid regions by using the Flood Duration Curve (FDC). The methodology innovations are: no use of commercial software, the possibility of choosing the reliability level, the application in reservoirs of semi-arid areas of the world and the use of a graphic analysis of the reservoir hydrological behavior. The case studies in the Brazilian and Australian semi-arid consider two scenarios: high reliability level (90%, scenario 1) and low reliability level (70%, scenario 2). The reliability level is linked to the electricity production; the evaporation reduction is proportional to the FPV plant area.

No abstract

No abstract

Photovoltaic solar energy has been gaining market share over the years due to lower prices and to a significant incentive from the government. It is a clean, static and promising energy source, and such technology has been applied to various applications. This paper presents a prototype of an automated irrigation system for later installation on the field. After the prototype development, we analyzed the use of a previously built photovoltaic microgeneration, in order to insert the electricity generated in the automated irrigation system. The photovoltaic microgeneration has an installed capacity of 2.76 kWp and a battery bank with 24 V. The integration of photovoltaic solar energy in the automated irrigation system represented a good application for family farming, minimizing water waste, besides representing the use of a renewable energy source.

RESUMOO presente trabalho descreve de forma sucinta o projeto de desenvolvimento de um robô móvel com acionamento diferencial com inteligência artificial. A inteligência artificial empregada é baseada na técnica conhecida como lógica fuzzy. A inteligência embarcada tem dois objetivos principais atingir o alvo e evitar colisões na execução da trajetória. É apresentada uma metodologia para desenvolver um controlador fuzzy no Matlab que realiza estas funções. Também são apresentadas as tecnologias utilizadas no robô móvel sensores de distância, comunicação Bluetooth e materiais reutilizados na montagem do robô. O ambiente ou cenário de simulação é um corredor estreito e o robô se move baseado somente nos sinais enviados pelos sensores de distância embarcados. No final são realizadas simulações e apresentados os resultados do robô móvel navegando em um ambiente desconhecido. PALAVRAS-CHAVE:Robô móvel, Acionamento diferencial, Inteligência Artificial, Lógica fuzzy. FUZZY CONTROL DIFFERENTIAL ROBOTABSTRACT This paper briefly describes the development of a mobile robot with differential drive using artificial intelligence. Artificial intelligence is employed based on the technique known as fuzzy logic. The embedded intelligence has two main objectives to reach the target and avoid collisions in executing the path. A methodology is presented to develop a fuzzy controller in Matlab that performs these functions. Technologies used in mobile robot are presented such as distance sensors, Bluetooth communication and materials reused in robot assembling. The simulation environment scenario is a narrow corridor and the robot moves based only on signals sent by embedded sensors. At the end simulations are carried out and the results of the mobile robot navigating in an unknown environment are presented.