Abstract: Systems, methods, apparatuses, and computer program products for a greenhouse indoor environment controller based on model predictive control (MPC), which can be integrated into existing greenhouse regulatory systems to optimally maintain critical climatic variables, including artificial lighting levels, CO2, indoor temperature, and humidity levels within acceptable limits. The objectives of the MPC may be to maximize the rate of crop photosynthesis while optimizing the use of the available water and energy resources, taking into account the unpredictability and intermittent nature of renewable energies and external atmospheric conditions. Accordingly, certain embodiments may facilitate the management of greenhouses by anticipating control actions for a better quality of production.

Abstract: A method for controlling an environmental system may include defining a reference signal of an environmental variable in a greenhouse. The method may also include receiving renewable resource information related to the greenhouse. The method may further include receiving dynamic weather information of an environment external to the greenhouse. In addition, the method may include determining an optimization control scheme based on the reference signal, renewable resource information, and dynamic weather information. Further, the method may include regulating environmental conditions in the greenhouse according to the optimization control scheme.

Abstract: Systems, methods, apparatuses, and computer program products for a greenhouse indoor environment controller based on model predictive control (MPC), which can be integrated into existing greenhouse regulatory systems to optimally maintain critical climatic variables, including artificial lighting levels, CO2, indoor temperature, and humidity levels within acceptable limits. The objectives of the MPC may be to maximize the rate of crop photosynthesis while optimizing the use of the available water and energy resources, taking into account the unpredictability and intermittent nature of renewable energies and external atmospheric conditions. Accordingly, certain embodiments may facilitate the management of greenhouses by anticipating control actions for a better quality of production.

Abstract: Systems, methods, apparatuses, and computer program products for a greenhouse indoor environment controller based on model predictive control (MPC), which can be integrated into existing greenhouse regulatory systems to optimally maintain critical climatic variables, including artificial lighting levels, CO2, indoor temperature, and humidity levels within acceptable limits. The objectives of the MPC may be to maximize the rate of crop photosynthesis while optimizing the use of the available water and energy resources, taking into account the unpredictability and intermittent nature of renewable energies and external atmospheric conditions. Accordingly, certain embodiments may facilitate the management of greenhouses by anticipating control actions for a better quality of production.

Abstract: Facades, roofs, and greenhouses that may capable of self-cooling are provided. For example, a façade for a greenhouse may include an internal glass wall and an external glass wall in a parallel plane to the internal glass wall and separated from the internal glass wall by a first distance. The distance may be configured to permit passage of a heat transfer liquid. The internal glass wall can include a first face, facing the external glass wall. The first face of the internal glass wall can include a reflective surface configured to reflect solar radiation into the heat transfer liquid when in operation.

Abstract: Certain embodiments may provide a method for controlling a desalination system. The method may include performing a desalination procedure with salt-water in a desalination compartment of the desalination system. The method may also include extracting brine and freshwater from the desalination procedure. The method may further include directing the brine to a brine treatment compartment of the desalination system, and the freshwater to a firewater container. In addition, the method may include performing a brine treatment procedure in the brine treatment compartment. Further, the method may include collecting concentrated brine from the brine treatment compartment.

Abstract: A method for controlling an environmental system may include defining a reference signal of an environmental variable in a greenhouse. The method may also include receiving renewable resource information related to the greenhouse. The method may further include receiving dynamic weather information of an environment external to the greenhouse. In addition, the method may include determining an optimization control scheme based on the reference signal, renewable resource information, and dynamic weather information. Further, the method may include regulating environmental conditions in the greenhouse according to the optimization control scheme.

Abstract: Certain embodiments may provide a method for controlling a desalination system. The method may include performing a desalination procedure with salt-water in a desalination compartment of the desalination system. The method may also include extracting brine and freshwater from the desalination procedure. The method may further include directing the brine to a brine treatment compartment of the desalination system, and the freshwater to a firewater container. In addition, the method may include performing a brine treatment procedure in the brine treatment compartment. Further, the method may include collecting concentrated brine from the brine treatment compartment.

Abstract: Systems, methods, apparatuses, and computer program products for a greenhouse indoor environment controller based on model predictive control (MPC), which can be integrated into existing greenhouse regulatory systems to optimally maintain critical climatic variables, including artificial lighting levels, CO2, indoor temperature, and humidity levels within acceptable limits. The objectives of the MPC may be to maximize the rate of crop photosynthesis while optimizing the use of the available water and energy resources, taking into account the unpredictability and intermittent nature of renewable energies and external atmospheric conditions. Accordingly, certain embodiments may facilitate the management of greenhouses by anticipating control actions for a better quality of production.