研究目的
To understand the potential of an innovative technology for solar energy harvesting in a District Heating Network (DHN) using aesthetic solar fa?ade thermal panels coupled with a Heat Pump.
研究成果
The study concludes that the series interconnection with the highest mass flow rate through the panels provides the best system performance. The implemented MPC control effectively manages the system to meet energy demands from the DHN. Future work will explore economic aspects and the integration of thermal storage for greater system flexibility.
研究不足
The consumption related to the water-glycol pump in the panels circuit has been neglected as the pressure drop over the panels has not been evaluated in preliminary tests. Future work will include experimental determination of pressure drops and consideration of economic aspects in system management.
1:Experimental Design and Method Selection:
The study involves building a system model using Matlab SIMULINK based on tests performed on solar fa?ade panels within the H2020 ENVISION project. Different panel colors are considered. A predictive mode-based strategy is then defined and tuned for optimal system performance in interaction with the DHN.
2:Sample Selection and Data Sources:
The study uses data from tests on solar fa?ade panels of different colors (white, red, black) installed at the Savona Campus of the University of Genoa.
3:List of Experimental Equipment and Materials:
Solar fa?ade panels (2x1 meters, available in white, red, black), Heat Pump (water-to-water with volumetric compressor), Matlab/Simulink for modeling.
4:Experimental Procedures and Operational Workflow:
The study involves simulating different scenarios (mass flow rates through panels, series or parallel configurations) to determine the best system performance. A Model Predictive Control (MPC) strategy is implemented for system management.
5:Data Analysis Methods:
The analysis focuses on the Coefficient Of Performance (COP) of the Heat Pump and the thermal efficiency of the panels under various conditions.
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