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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 input to a Model Predictive Control (MPC) - a multivariate control algorithm using a dynamic process model, constraints and a cost function to be minimize...
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Context 1
... can very well be explained in the same way as electric circuits, which will provide a nice analytic approach. The model is shown as the commonly used RC-diagram, [24], in Figure 4. ...
Context 2
... C e Figure A3. Definition of model parameters (heat capacities and thermal resistances) in the roof (left), floor (middle) and wall (right Figure A4. Thickness (ζ), density (ρ), heat capacity (C), thermal conductivity (k) and thermal resistance (R) of all the building parts. ...
Context 3
... can very well be explained in the same way as electric circuits, which will provide a nice analytic approach. The model is shown as the commonly used RC-diagram, [24], in Figure 4. ...
Similar publications
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...