References of "Andre, Philippe"
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See detailModelling the propagation pathway of street-traffic noise : practical comparison of German guidelines and real-world measurements
Wetzel, Edgar; Nicolas, Jacques ULg; Andre, Philippe ULg et al

in Applied Acoustics (1999), 57(2), 97-107

In Germany, several guidelines were developed to model the noise propagation pathway. The study compares the guidelines DIN 18005, RLS-90 and VDI 2714, all of which provide some kind of sound object line ... [more ▼]

In Germany, several guidelines were developed to model the noise propagation pathway. The study compares the guidelines DIN 18005, RLS-90 and VDI 2714, all of which provide some kind of sound object line source suited to model street traffic noise. Differences between those guidelines are explained, and their effect on practical calculations is shown in a real-world situation, National Road N4, in Arlon, Belgium. Calculated results are compared to measurements made on critical points along the road. The paper emphasises the understanding of the inner workings of models. In order to avoid differences in calculated results due to software design methods applied, all calculations are made using one single commercially available simulation program. Additionally, this allows for a test of guideline sensitivity to changes in input parameters. [less ▲]

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See detailBuilding and HVAC optimal control simulation. Application to an office building.
Kummert, Michaël; Andre, Philippe ULg; Nicolas, Jacques ULg

in Proceedings of the Third International symposium on HVAC (1999)

This paper describes the methodology to apply discrete-time optimal control to a building and its HVAC installation. Simulation-based results concerning a passive solar commercial building are presented ... [more ▼]

This paper describes the methodology to apply discrete-time optimal control to a building and its HVAC installation. Simulation-based results concerning a passive solar commercial building are presented and discussed. The simulation environment includes the TRNSYS TYPE 56 as reference building model and HVAC detailed models to test the controller with realistic control signals. The optimal controller's sensitivity to meteorological forecasting quality and to other factors is analysed. Its performance is compared to results obtained with a conventional control system to assess the relevancy of optimal control for this application. [less ▲]

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See detailIEA Annex 30 : bringing simulation to application. Conclusions of subtask 1 : model qualification
Andre, Philippe ULg; Bourdouxhe, J.-P.; Lebrun, Jean ULg

in Proceedings of SSB'98 (1998, December)

From 1995 to 1998, IEA Annex 30 "Bringing Simulation to Application" has been adressing the problem of improving the conditions aiming at a more effective use of building and HVAC simulation among ... [more ▼]

From 1995 to 1998, IEA Annex 30 "Bringing Simulation to Application" has been adressing the problem of improving the conditions aiming at a more effective use of building and HVAC simulation among consulting engineers and building practitioners. Therefore, the project gathered both academic research teams and several consulting offices representatives in order to demonstrate, on real Case Studies, what should be done to achieve this goal. The first Subtask of the IEA Annex 30 was dealing with the most fundamental step appearing in the process of simulation use: qualification of the models implemented in the available simulation tools. The objective of the Subtask was to establish a framework allowing any simulation models developper to provide the necessary information making any simulation model user more confident when using such tools. To achieve this objective, Subtask 1 was divided in two parts: - a first part dealing with a survey of the available models and data resources useful for building and HVAC simulation; - a second part dealing with the development and the application on several examples of "model qualification procedures", which provides the required framework. The survey action was mainly focussing on the following items: models, meteorological data, internal gains, HVAC and material databases. The model qualification procedure was first defined as a sequence of operations involving several steps: model documentation, parameters identification, examples of use and sample results, validation (or verification of the models), integration in a data exchange process. This procedure was applied to several building and HVAC models: building thermal zones, cooling coil, chiller and cooling tower. [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 detailIEA Annex 30: Bringing Simulation to Application. Final report
Lebrun, Jean ULg; Andre, Philippe ULg

Report (1998)

Rapport final du projet IEA Annex 30, Bringing Simulation to Application, qui s'est déroule entre 1995 et 1998

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See detailSimulation of a centralized cooling plant under different control strategies
Bourdouxhe, J.-P.; Andre, Philippe ULg

in Proceedings Building simulation 97 (1997, September)

The simulated cooling plant equips an office building whose maximum cooling demand is about 5 MW. To meet this load, the cooling plant uses five cooling towers, four twin-screw chillers and four ... [more ▼]

The simulated cooling plant equips an office building whose maximum cooling demand is about 5 MW. To meet this load, the cooling plant uses five cooling towers, four twin-screw chillers and four encapsulated ice storage tanks. The simulation of the cooling plant is carried out with the software TRNSYS. To perform the simulation, the system components are first modeled and identified on the basis of the information given by the equipment manufacturers and the installers. Once the parameter identification of the components is done, TRNSYS is used to simulate the cooling plant in each operating mode. This paper focuses on two operating modes : the pure discharging and the direct production with possible discharging. For these modes, a control strategy was developed during the cooling plant design phase. This paper discusses the impact on the plant performance of changes brought to the designed control strategies [less ▲]

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See detailSimulation based analysis of the overheating risk in an auditorium building
Andre, Philippe ULg; Nicolas, Jacques ULg

in Proceedings of Clima 2000 conference (1997, August)

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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 detailIEA Annex 30 : "Bringing simulation to application". Presentation of Subtask 1 : "Model qualification"
Andre, Philippe ULg; Bourdouxhe, J.-P.; Lebrun, Jean 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 detailDevelopment of an integrated tool for solar buildings design and renewal.
Andre, Philippe ULg; Nicolas, Jacques ULg

in Proceedings PLEA 96 International conference (1996, September)

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See detailSimulation-based analysis of the renewal of a passive solar commercial building
Andre, Philippe ULg; Nicolas, Jacques ULg

in Proceedings PLEA 96 International conference (1996, July)

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See detailOdours identification in the environment by means of mathematical methods
Maternova, Jidrinska; Nicolas, Jacques ULg; Andre, Philippe ULg et al

in Odours & VOC's journal (1996), 1

The aim of the present paper is to test and compare some mathematical discrimination or pattern recognition methods in order to identify one among three air pollution sources.The basic material in this ... [more ▼]

The aim of the present paper is to test and compare some mathematical discrimination or pattern recognition methods in order to identify one among three air pollution sources.The basic material in this work are : - the standard gas chromatography/mass spectrometry analysis with concentrations values for different chemical compounds observed at about hundred sites in iron and steel industries : either coking plants, or cold rolling mills, or coil-coating plants. - the odours levels, measured by the method of dilution at the threshold. Generally speaking, coil-coating plants emit more chemical compounds than two others, however olfactive threshold is about the same in the three cases. Sums of compounds concentrations for different chemical families (e.g. alkanes, alcohol's, phenols, ...) are calculated and used for the mathematical treatments. Because the frequency histogram of the observed concentrations has a log normal distribution, logarithm of concentration is chosen as operating variable instead of concentration itself. The stepwise multiple linear regression is used in order to express the dilution factor at the olfactory perception threshold as a linear combination of the logarithm of concentrations. Results show that this factor can be estimated quite well on the basis of the concentrations of compounds belonging only to three chemical families. Nevertheless, these families differ following the emission source. To perform the optimal odour description of the three types of industrial plants a larger set of compounds families should be examined in a first step. Factor analysis is used with the aim of regrouping observed variables that are linked together in the plane of the first two factors. The representation of observation points is then superposed on this scheme. Some variable clusters are observed. The method, applied to the whole variables set, classes rather well the observations : the three emissions sources are well discriminated. Cluster analysis, discriminant analysis and neural network have also been used, but only with three variables common to all installations : concentrations of alkylbenzenes, polycyclic aromatics and alkanes. Cluster analysis is not a "supervised method". That means that it is free to create itself some groups showing similar behaviour with regard to the observed variables. Indeed, results show that cluster analysis does not allow to recognise the emission source. In discriminant analysis, target groups membership is provided for each set of variables values : it is a supervised method. The classification functions so deduced allow to discriminate quite well the three industrial plants and to predict the emission origin. A total of 87 % of the observations are correctly on the basis of the classification functions. Neural network approach, with backpropagation algorithm, is a so-called "pattern recognition technique" and is also a supervised method. It provides still better results than statistical ones. After the learning phase, the network is able to identify correctly 99.5 % of observations from 95.5 % the training set.The concentrations of compounds belonging to three chemical families, combined with a pattern recognition technique based either on discriminant analysis, or on neural network, prove to be efficient for recognising the source of odorous gaseous effluents. For the data set considered in this paper, the neural network exhibits better classification performances than discriminant analysis, but its learning phase is slower. However, applying one method or the other for further recognition of unknown patterns is quick and easy. [less ▲]

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See detailUn capteur thermique de mesure de la qualité du sol.
Nicolas, Jacques ULg; Andre, Philippe ULg; Hanson, Alain ULg et al

in Actes du 3ème colloque européen "Des capteurs pour l'environnement" (1995, March)

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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)

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See detailUse of an integrated software for building design and system simulation.
Andre, Philippe ULg; Nicolas, Jacques ULg

in Proceedings of the Fourth international conference "System simulation in buildings" (1995)

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