Development of Simulation Algorithms for Control Scheme Optimization in Greenhouses

This project presents the development of an algorithm predicting ambient greenhouse air conditions to be used for energy efficiency simulation and control schemes optimization. The climatic conditions considered are temperature, relative humidity, CO2 concentration and solar radiation. The algorithm has two modes of operation, the first simulates the greenhouse while in the second the heating, cooling, humidification or dehumidification, CO2 injection rates are calculated to maintain certain setpoints. The algorithm is designed to be used with the TRNSYS 15 simulation software which provides the preprocessing of the weather data, as well as controller models. The model is defined by several components that describe the characteristics of each glazing surface, the plants, the floor, the equipment and the zone itself. Using this approach it is possible to simulate any greenhouse structure, provided that the required information is available.