Inverse Model Identification of the Thermal Dynamics of a Norwegian Zero Emission House

Vogler-Finck, Pierre; Clauß, John; Georges, Laurent; Sartori, Igor; Wiśniewski, Rafał

doi:10.1007/978-3-030-00662-4_44

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…For the ZEB insulation level, the multi-zone IDA ICE model of the building envelope heated by an electric radiator has been calibrated with measurement data from a dedicated experiment conducted in April and May 2017 [53]. It was found that the model correctly predicted the short-term thermal dynamics of the building and the temperature differences between rooms [54].…”

Section: Building Envelopementioning

confidence: 99%

Predictive rule-based control to activate the energy flexibility of Norwegian residential buildings: Case of an air-source heat pump and direct electric heating

et al. 2019

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The building energy flexibility potential of a Norwegian single-family detached house is investigated using predictive rule-based control (PRBC) and building performance simulation (using IDA ICE). Norwegian timber buildings are lightweight and four different insulation levels are considered. Both onoff and modulating air-source heat pumps are analyzed and compared to direct electric heating which is the most common heating system for Norwegian residential buildings. A detailed model for both the heat pump system and the building is implemented, a level of detail not found in previous research on building energy flexibility. The three PRBC investigated have the following objectives: reduce energy costs for heating, reduce annual CO2eq. emissions and reduce energy use for heating during peak hours. This last objective is probably the most strategic in the Norwegian context where cheap electricity is mainly produced by hydropower. The results show that the price-based control does not generate cost savings because lower electricity prices are outweighed by the increase in electricity use for heating. The implemented price-based control would create cost savings in electricity markets with higher daily fluctuations in electricity prices, such as Denmark. For the same reasons, the carbon-based control cannot reduce the yearly CO2eq. emissions due to limited daily fluctuations in the average CO2eq. intensity of the Norwegian electricity mix. On the contrary, the PRBC that reduces the energy use for heating during peak hours turns out to be very efficient, especially for direct electric heating. For air-source heat pumps, the control of the heat pump system is complex and reduces the performance of the three PRBC. Therefore, results suggest that a heat pump system should be modeled with enough detail for a proper assessment of the building energy flexibility. First, by varying temperature set-points there is a clear interaction between the prioritization of domestic hot water and the control of auxiliary heaters which increases energy use significantly. Second, the hysteresis of the heat pump control and the minimum cycle duration prevent the heat pump from stopping immediately after the PRBC requires it. Finally, the paper shows that the influence of thermal zoning, investigated here by cold bedrooms with closed doors, has a limited impact on the building energy flexibility potential and the risk of opening bedroom windows.

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Section: Building Envelopementioning

confidence: 99%

Predictive rule-based control to activate the energy flexibility of Norwegian residential buildings: Case of an air-source heat pump and direct electric heating

et al. 2019

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“…The space heating dynamics is based on observed values from the Living Lab building built by Zero Emission Building (FME ZEB) 1 and NTNU [33,34]. The default temperature boundary for space heating is between 20-24 • 𝐶, which from reference [35] is the range end-users find comfortable.…”

Section: Thermal Structure and Seasonal Thermal Energy Storagementioning

confidence: 99%

Long-Term Operational Planning for Flexible Residential Buildings with Seasonal Storage and Capacity-Based Grid Tariffs

Thorvaldsen,

Backe,

Farahmand

2023

Preprint

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“…Some existing studies have shown that linear time-invariant (LTI) models can approximate the thermal dynamics of buildings with sufficient accuracy for MPC purposes (Bacher & Madsen, 2011;M. D. Knudsen & Petersen, 2020;Michael Dahl Knudsen & Petersen, 2017;Prívara et al, 2013;Vogler-Finck et al, 2018). However, the performance of the MPC controller cannot be maintained if it is applied over a long period of time due to the timevarying weather conditions throughout the year.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Linear Grey-Box Models for Model Predictive Controller of Residential Buildings

Georges

Imsland

2022

E3S Web Conf.

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Model predictive control (MPC) is an advanced optimal control technique to minimize a control objective while satisfying a set of constraints and is well suited to activate the building energy flexibility. The MPC controller performance depends on the accuracy of the model prediction. Inaccurate predictions can directly lead to low control performance. Linear time-invariant (LTI) models are often used in MPC in buildings. However, LTI models do not adapt to the weather conditions varying throughout the whole space-heating season, which makes the MPC based on LTI models not perform well over a long period of time. Therefore, this study introduces an adaptive MPC where the parameters of a linear grey-box model are continuously updated in real-time. Two alternative versions of this adaptive control are investigated. The first one, called partially adaptive MPC, only updates the effective window area of the grey-box model, while the second one, called fully adaptive MPC, updates all the parameters of the grey-box model. Results show that the partially adaptive MPC is not able to deliver satisfactory prediction performance. The fully adaptive MPC shows better performance compared to the other models when implemented in a MPC, especially in avoiding thermal comfort violation.

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Inverse Model Identification of the Thermal Dynamics of a Norwegian Zero Emission House

Cited by 7 publications

References 10 publications

Predictive rule-based control to activate the energy flexibility of Norwegian residential buildings: Case of an air-source heat pump and direct electric heating

Predictive rule-based control to activate the energy flexibility of Norwegian residential buildings: Case of an air-source heat pump and direct electric heating

Long-Term Operational Planning for Flexible Residential Buildings with Seasonal Storage and Capacity-Based Grid Tariffs

Adaptive Linear Grey-Box Models for Model Predictive Controller of Residential Buildings

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