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公开(公告)号：EP4266134A1
公开(公告)日：2023-10-25
申请号：EP23167995.2
申请日：2023-04-14
申请人： Immergas S.p.A.
发明人： TESTI, Daniele , SCHITO, Eva , CONTI, Paolo , DELLA VISTA, Davide , ZAMBRELLI, Cristian , BRONZONI, Cristiana
摘要： Computer-implemented method (100) for training a machine learning system to predict the thermal power supplied by a heat generator located in a predefined environment, particularly in a building, the method (100) comprising the following steps:
detecting a set of temperature values of the air of the predefined environment (101);
detecting a set of delivery and return temperature values of a heat transfer fluid (102, 103);
calculating hourly average values on the sets of values detected (110); calculating values of hourly average power supplied by the heat generator (111);
applying a linear regression model (112) to the calculated average power values;
applying a non-linear regression model (113) to the average hourly values of the temperature of the air of the predefined environment, to the average hourly values of the delivery temperature of the heat transfer fluid, and to the calculated average power values.-
公开(公告)号：EP4056920A1
公开(公告)日：2022-09-14
申请号：EP22161158.5
申请日：2022-03-09
申请人： Immergas S.p.A.
摘要： A combined system for heating (1) a main water circuit (30) comprising a condensing boiler (20) and a heat pump (11, 12, 13, 14, 16). The boiler (20) has a combustion fumes outlet (23), the heat pump (11, 12, 13, 14, 16) comprises a refrigerant circuit (11) in which a refrigerant fluid flows and a first heat exchanger (12) crossed by the circuit (11) in which the refrigerant fluid receives heat passing from a liquid state to a gaseous state. The combined heating system (1) comprises a duct (40) extending between the fumes outlet (23) of the boiler (20) and said first heat exchanger (12) so as to carry the fumes coming from the fumes outlet (23) at the first heat exchanger (12).
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