References of "Kummert, M"
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See detailComparing control strategies using experimental and simulation results: Methodology and application to heating control of passive solar buildings
Kummert, M.; Andre, Philippe ULg; Argiriou, A.

in HVAC & R Research (2006), 12(3A Sp. Iss. SI), 553-575

Different heating system controllers for passive solar buildings are compared on two different buildings. The performance criterion combines energy performance and thermal comfort using the "cost function ... [more ▼]

Different heating system controllers for passive solar buildings are compared on two different buildings. The performance criterion combines energy performance and thermal comfort using the "cost function" paradigm. The experimental facilities did not allow a direct experimental comparison by using two identical buildings. The controllers were implemented alternately in one building and a performance comparison was obtained in two ways: first by identifying short periods that have similar driving variables (weather conditions and building occupancy) and comparing the experimental results obtained in both cases. The second method mixes experiments and simulation using a well-tuned model of the building and its occupants. This paper discusses the results obtained using the above methods and shows that both methods give consistent estimates of the difference between controllers and the second method allows extrapolation of useful information from the limited data available. [less ▲]

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See detailPassive solar buildings : development and evaluation of a model-based optimal controller through experimentation and simulation.
Andre, Philippe ULg; Kummert, M.

in Proceedings of the International conference Energy efficient technologies in indoor environment (2005, September)

Different heating system controllers for passive solar buildings are compared on two different buildings. The performance criterion combines energy performance and thermal comfort using the "cost function ... [more ▼]

Different heating system controllers for passive solar buildings are compared on two different buildings. The performance criterion combines energy performance and thermal comfort using the "cost function" paradigm. The experimental facilities did not allow a direct experimental comparison by using two identical buildings. The controllers were implemented alternatively in one building and a performance comparison was obtained in two ways: first by identifying short periods that have similar driving variables (weather and building occupancy) and comparing the experimental obtained in both cases. The second method mixes experiments and simulation using a well-tuned model of the building and its occupants. This paper discusses the results obtained using both methods and shows that both methods give consistent estimates of the difference between controllers, while the second method allows to extrapolate useful information from the limited data available. In a second evaluation step the controller is applied to a multizone building, and a detailed model is used for the HVAC system. The model-based control algorithm is not modified. It is based on a simplified internal model. It is shown that the optimal controller's performance varies strongly with the zone that is considered and the reference zone that is used. However, it is never worse than the performance of a reference controller. The global performance at the building level depends on the selected reference zone and on the building sensitivity to overheating. [less ▲]

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See detailPerformance comparison of heating control strategies combining simulation and experimental results.
Kummert, M.; Andre, Philippe ULg; Argiriou, A.

(2005, August)

Different heating system controllers for passive solar buildings are compared on two different buildings. The performance criterion combines energy performance and thermal comfort using the "cost function ... [more ▼]

Different heating system controllers for passive solar buildings are compared on two different buildings. The performance criterion combines energy performance and thermal comfort using the "cost function" paradigm. The experimental facilities did not allow a direct experimental comparison by using two identical buildings. The controllers were implemented alternatively in one building and a performance comparison was obtained in two ways: first by identifying short periods that have similar driving variables (weather conditions and building occupancy) and comparing the experimental results obtained in both cases. The second method mixes experiments and simulation using a well-tuned model of the building and its occupants. This paper discusses the results obtained using the above methods and shows that both methods give consistent estimates of the difference between controllers, while the second method allows to extrapolate useful information from the limited data available. [less ▲]

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See detailSimulation of a model-based optimal controller for heating systems under realistic hypotheses
Kummert, M.; Andre, Philippe ULg

(2005, August)

An optimal controller for auxiliary heating of passive solar buildings and commercial buildings with high internal gains is tested in simulation. Some of the most restrictive simplifications that were ... [more ▼]

An optimal controller for auxiliary heating of passive solar buildings and commercial buildings with high internal gains is tested in simulation. Some of the most restrictive simplifications that were used in previous studies of that controller (Kummert et al., 2001) are lifted: the controller is applied to a multizone building, and a detailed model is used for the HVAC system. The model-based control algorithm is not modified. It is based on a simplified internal model. It is shown that the optimal controller's performance varies strongly with the zone that is considered and the reference zone that is used. However, it is never worse than the performance of a reference controller. The global performance at the building level depends on the selected reference zone and on the building sensitivity to overheating. [less ▲]

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See detailA neural network controller for hydronic heating systems of solar buildings
Argiriou, A.; Bellas-Velidis, I.; Kummert, M. et al

in Neural Networks (2004), 17

An artificial neural network (ANN)-based controller for hydronic heating plants of buildings is presented. The controller has forecasting capabilities: it includes a meteorological module, forecasting the ... [more ▼]

An artificial neural network (ANN)-based controller for hydronic heating plants of buildings is presented. The controller has forecasting capabilities: it includes a meteorological module, forecasting the ambient temperature and solar irradiance, an indoor temperature predictor module, a supply temperature predictor module and an optimizing module for the water supply temperature. All ANN modules are based on the Feed Forward Back Propagation (FFBP) model. The operation of the controller has been tested experimentally, on a real-scale office building during real operating conditions. The operation results were compared to those of a conventional controller. The performance was also assessed via numerical simulation. The detailed thermal simulation tool for solar systems and buildings TRNSYS was used. Both experimental and numerical results showed that the expected percentage of energy savings with respect to a conventional controller is of about 15% under North European weather conditions. [less ▲]

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See detailLes paysages
Melin, Eric ULg; Feltz, Claude ULg; Droeven, Emilie ULg et al

Report (2002)

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See detailLe patrimoine naturel et les paysages
Feltz, Claude ULg; Ertz, D.; Van Der Kaa, Claire ULg et al

Report (2001)

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See detailOptimal heating control in a passive solar commercial building
Kummert, M.; Andre, Philippe ULg; Nicolas, Jacques ULg

in Proceedings EuroSun'2000 Congress (2000, June)

A smart heating controller has a twofold objective: to save as much energy as possible while maintaining an acceptable comfort level in the building. Due to very large time constants in the building ... [more ▼]

A smart heating controller has a twofold objective: to save as much energy as possible while maintaining an acceptable comfort level in the building. Due to very large time constants in the building response, it has to anticipate internal and external disturbances. In the case of a passive solar commercial building, the need for anticipation is reinforced by important solar and internal gains. Indeed, large solar gains increase the energy savings potential but also the overheating risk. Optimal control theory presents an ideal formalism to solve this problem : its principle is to anticipate the building behaviour using a model and a forecasting of the disturbances in order to compute the control sequence that minimises a given cost function over the optimisation horizon. This cost function can combine comfort level and energy consumption. This paper presents the application of optimal control to auxiliary heating of a passive solar commercial building. Simulation-based and experimental results show that it can lead to significant energy savings while maintaining or improving the comfort level in this type of building. [less ▲]

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See detailCoupling thermal simulation and airflow calculation for a better evaluation of natural ventilation strategies
Andre, Philippe ULg; Kummert, M.; Nicolas, Jacques ULg

in Proceedings SSB'98 (1998, December)

A lot of building simulation tools are available today on the market. Most of them rely on very simplified hypotheses concerning the appraisal of airflows: very often, a constant (userdefined) airflow is ... [more ▼]

A lot of building simulation tools are available today on the market. Most of them rely on very simplified hypotheses concerning the appraisal of airflows: very often, a constant (userdefined) airflow is supposed, either to quantify the infiltration rate of a building or to estimate the coupling coefficients between zones. On the other hand, some recent tools become available to calculate air flow couplings between the different zones of a building or between a building and its environment. Those tools rely on simplified hypotheses concerning the temperatures distribution in a building. From that observation, it is obvious that a strong complementarity exists between both categories of tools. Several methods are available to perform this coupling and they are briefly described in the paper. Then, one of these methods is considered in details and successly engineered for the global simulation of two Case Studies of the IEA Annex 30 project: an office building in Germany and an appartment building in Poland. Both applications show the relevancy of the coupling process and the impressive impact on some simulation results. A parametric analysis of some key variables is also performed. As a conclusion, the paper identifies the limitations of the coupling method which is used in this case and proposes some improvements based upon an increase of the automization and integration process. [less ▲]

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See detailShort-term weather forecasting for solar buildings optimal control : an application of neural networks
Kummert, M.; Andre, Philippe ULg; Guiot, J. et al

in Proceedings Eufit'98 (1998, September)

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See detailHeating optimal control applied to a passive solar commercial building
Kummert, M.; Andre, Philippe ULg; Nicolas, Jacques ULg

in Proceedings of EuroSun'98 (1998, September)

Passive solar features can lead to significant energy savings for building heating. However the intrinsic delay between solar gains and heating demand requires an intelligent control of auxiliary HVAC ... [more ▼]

Passive solar features can lead to significant energy savings for building heating. However the intrinsic delay between solar gains and heating demand requires an intelligent control of auxiliary HVAC system to minimise the energy consumption while preventing overheating periods. This paper describes the application of discrete-time optimal control to auxiliary heating of a passive solar commercial building. Simulation-based results using complex reference models are presented and discussed. The optimal controller is compared to classical "heatingcurve + Thermostatic valve" control. It is shown that optimal control can lead to substantial improvement of thermal comfort and energy consumption. [less ▲]

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See detailOptimized thermal zone controller for integration within a building energy management system.
Kummert, M.; Andre, Philippe ULg; Nicolas, Jacques ULg

in Proceedings Clima 2000 (1997)

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See detailDevelopment of simplified models for solar buildings optimal control
Kummert, M.; Andre, Philippe ULg; Nicolas, Jacques ULg

in Proceedings EuroSun 96 (1996, September)

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See detailA smart radiation sensor for environmental monitoring
Nicolas, Jacques ULg; Andre, Philippe ULg; Kummert, M. et al

in Proceedings ISES 95 Congress (1995)

Detailed reference viewed: 5 (0 ULg)