Figure 5 - uploaded by Peder Bacher
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Varying temperature constraints -night [11pm:5am]; 18°C. Note the CO2 emission intensity and heating does not follow the Y-axis range, but rather the specified range in the colour legend.

Varying temperature constraints -night [11pm:5am]; 18°C. Note the CO2 emission intensity and heating does not follow the Y-axis range, but rather the specified range in the colour legend.

Source publication
Preprint
Full-text available
An optimized heat pump control for building heating was developed for minimizing CO2 emissions from related electrical power generation. The control is using weather and CO2 emission forecasts as input to a Model Predictive Control (MPC) - a multivariate control algorithm using a dynamic process model, constraints and a cost function to be minimize...

Contexts in source publication

Context 1
... example of the differences between the cases, and the radiator and floor heating, is illustrated in Figure 5. The resulting electrical power and temperature for Case Trivial and Case Real on a four day period for the family house is shown. ...
Context 2
... in reality the advantages from both systems can be utilized. Recall from Figure 5, the radiators are good at quick responses and therefore allows the temperature to decrease during the night contrarily to the floor heating. However, it has little capability of storing heat for longer periods. ...
Context 3
... example of the differences between the cases, and the radiator and floor heating, is illustrated in Figure 5. The resulting electrical power and temperature for Case Trivial and Case Real on a four day period for the family house is shown. ...
Context 4
... in reality the advantages from both systems can be utilized. Recall from Figure 5, the radiators are good at quick responses and therefore allows the temperature to decrease during the night contrarily to the floor heating. However, it has little capability of storing heat for longer periods. ...

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An optimized heat pump control for building heating was developed for minimizing CO2 emissions from related electrical power generation. The control is using weather and CO2 emission forecasts as inputs to a Model Predictive Control (MPC)—a multivariate control algorithm using a dynamic process model, constraints and a cost function to be minimized...