Robustness analysis of a hybrid ground coupled heat pump system with model predictive control

Antonov, Stefan; Helsen, Lieve

doi:10.1016/j.jprocont.2016.08.009

Cited by 14 publications

(2 citation statements)

References 14 publications

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“…Few authors have proposed formulations that take into account the long-term dynamics: Verhelst [13] proposed the introduction of a penalty cost in the objective function to the daily passive cooling budget, yet the weighting factor/cost for this term is not defined. Antonov [35] developed the Short-and-Long-Term-Optimization (SALTO) method, imposing yearly cyclic conditions on the ground nodes temperatures. However, although guaranteeing a sustainable use of the ground over the years, this approach may not be optimal as it curtails the freedom of MPC while a certain yearly imbalance can be allowed in the borefield depending on its size.…”

Section: Mpc In (Hybrid) Geothermal Systemsmentioning

confidence: 99%

A Methodology for Long-Term Model Predictive Control of Hybrid Geothermal Systems: The Shadow-Cost Formulation

2020

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Model Predictive Control (MPC) predictive’s nature makes it attractive for controlling high-capacity structures such as thermally activated building systems (TABS). Using weather predictions in the order of days, the system is able to react in advance to changes in the building heating and cooling needs. However, this prediction horizon window may be sub-optimal when hybrid geothermal systems are used, since the ground dynamics are in the order of months and even years. This paper proposes a methodology that includes a shadow-cost in the objective function to take into account the long-term effects that appear in the borefield. The shadow-cost is computed for a given long-term horizon that is discretized over time using predictions of the building heating and cooling needs. The methodology is applied to a case with only heating and active regeneration of the ground thermal balance. Results show that the formulation with the shadow cost is able to optimally use the active regeneration, reducing the overall operational costs at the expenses of an increased computational time. The effects of the shadow cost long-term horizon and the predictions accuracy are also investigated.

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Section: Mpc In (Hybrid) Geothermal Systemsmentioning

confidence: 99%

A Methodology for Long-Term Model Predictive Control of Hybrid Geothermal Systems: The Shadow-Cost Formulation

2020

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“…Maasoumy et al The impact of the uncertainty of state estimations on the performance of MPC in buildings has not been widely studied. Antonov et al 192 investigated the robustness of MPC for a hybrid ground coupled heat pump system. The applied method identifies a reliable estimation of the maximum allowed degree of state estimation uncertainty beyond which the system performance decreases.…”

Section: -12mentioning

confidence: 99%

Energy performance optimization in buildings: A review on semantic interoperability, fault detection, and predictive control

Benndorf

Wystrcil

Réhault

2018

Applied Physics Reviews

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The building sector accounts for about 30% of the global final energy consumption. Most of the consumed energy originates from fossil fuels. The operation of buildings is known to suffer from various deficiencies, degrading their energy performance. An untapped potential lies, therefore, in the optimization of building operation to significantly reduce CO 2 emissions and to increase the cost effectiveness and user comfort. Over the past 40 years, extensive research has been carried out to investigate and develop methods for building performance optimization based on measured data from building services, such as heating, ventilation, air conditioning, and lighting systems. The ongoing digitalization trend in the building sector offers the opportunity to easily access large amounts of high-quality measurement data and semantic building information as digital descriptions. This facilitates the development and implementation of automated routines for the continuous supervision and optimization of building operation, including reliable fault detection and diagnosis and model-predictive control. This review article is focused on three major research topics in the field of energy-efficient buildings, namely, semantic interoperability between heterogeneous and complex systems, methods for fault detection and diagnosis, and model-predictive control. V

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Electrical hybrid heat pumps assisted by natural gas boilers: a review

et al. 2022

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Robustness analysis of a hybrid ground coupled heat pump system with model predictive control

Cited by 14 publications

References 14 publications

A Methodology for Long-Term Model Predictive Control of Hybrid Geothermal Systems: The Shadow-Cost Formulation

A Methodology for Long-Term Model Predictive Control of Hybrid Geothermal Systems: The Shadow-Cost Formulation

Energy performance optimization in buildings: A review on semantic interoperability, fault detection, and predictive control

Electrical hybrid heat pumps assisted by natural gas boilers: a review

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