Hycool technology is a promising application of solar energy in industry that, in addition to the dimensioning of the main components, integrates an intelligent control concept to optimize the solar yields. The document describes the solution approaches identified in task 5.3 targeting higher system efficiency through the integration of energy management scenarios that are specifically tailored to solar cooling and solar heating in industrial sites. Examples are applied to illustrate the implementation of calculation models that considers predicted weather data to forecast performance and efficiency, as well as CO2 savings for different operating conditions. The resulting decision determines the operating mode for the following day and further optimization models for the use of storage capacities considering the load profiles and flexible power tariffs lead to additional impacts in solar irradiation utilization. Furthermore, it describes how the energy management is integrated into the control system, which data to be visualized on the user interface and how far the planning of the solar system integration must have progressed in order to integrate an effective energy management. Section 4 describes the control logic of the two pilot systems in order to illustrate the interaction between supervised energy management and control sequences on machine level.
HYCOOL D5.3 Energy Management
Valeria Palomba;
2020
Abstract
Hycool technology is a promising application of solar energy in industry that, in addition to the dimensioning of the main components, integrates an intelligent control concept to optimize the solar yields. The document describes the solution approaches identified in task 5.3 targeting higher system efficiency through the integration of energy management scenarios that are specifically tailored to solar cooling and solar heating in industrial sites. Examples are applied to illustrate the implementation of calculation models that considers predicted weather data to forecast performance and efficiency, as well as CO2 savings for different operating conditions. The resulting decision determines the operating mode for the following day and further optimization models for the use of storage capacities considering the load profiles and flexible power tariffs lead to additional impacts in solar irradiation utilization. Furthermore, it describes how the energy management is integrated into the control system, which data to be visualized on the user interface and how far the planning of the solar system integration must have progressed in order to integrate an effective energy management. Section 4 describes the control logic of the two pilot systems in order to illustrate the interaction between supervised energy management and control sequences on machine level.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


