Recherche

Niederhäuser Elena-Lavinia

Professeure HES associée

Compétences principales

Computational Fluid Dynamics (CFD)

Energy modeling and simulation

Optimisation de système énergétique

Professeure HES associée

Téléphone: +41 26 429 66 61

Bureau: HEIA_D10.05

Haute école d'ingénierie et d'architecture de Fribourg
Boulevard de Pérolles 80, 1700 Fribourg, CH

Institut
Energy - Institut de recherche appliquée en systèmes énergétiques

MA BFH/HES-SO en Architecture - HES-SO Master

Production, gestion et utilisation de l'energie
Hydrologie
Rentabilité des centrales hydrauliques
Intégration energétique des centrales hydroelectriques
Turbomachines thermiques

BSc HES-SO en Génie mécanique - Haute école d'ingénierie et d'architecture de Fribourg

Simulation CFD
Turbomachines hydrauliques
Energies Renouvelables

Terminés

Smart Energy District Design ' Co-simulation platform for urban energy planning & design

AGP

Rôle: Co-requérant(s)

Requérant(e)s: VS - Institut Systèmes industriels, Page Jessen, VS - Institut Systèmes industriels

Financement: HES-SO Rectorat

Description du projet : The topic of urban energy concepts is gaining in importance yet so far it lacks the modelling tools required for the development of concepts, the transformation of these concepts into a design solution ready to be implemented (energy demand reduction measures; choice, sizing, location of production, storage, distribution technologies) and finally the development of an operation strategy for the designed infrastructure. An inter-disciplinary field of research, urban energy systems bring together a variety of well-established research disciplines, such as the production of heat/cold and of electricity via renewable and non-renewable technologies, electricity and thermal distribution networks, energy demand in buildings. Each of these disciplines already has its own tested simulation tools. Instead of developing new tools for the purpose of modelling urban energy systems we propose to bring together these simulation tools already used in the other disciplines within a 'co-simulation platform'.

Equipe de recherche au sein de la HES-SO: Périsset Blaise , Garin Isabelle , Loperetti Murielle , Citherlet Stéphane , Robyr Jean-Luc , Favre Didier , Page Jessen , Morand Gilbert , Dervey Sébastien , Rey Vincent , Niederhäuser Elena-Lavinia , Carpita Mauro

Partenaires académiques: VS - Institut Systèmes industriels; Lesbat; FR - EIA - Institut ENERGY; Page Jessen, VS - Institut Systèmes industriels

Durée du projet: 24.04.2014 - 05.11.2015

Montant global du projet: 175'000 CHF

Statut: Terminé

Nanoparticules fonctionnalisées appliquées au photovoltaïque

AGP

Rôle: Co-requérant(s)

Requérant(e)s: hepia inSTI, Jobin Marc, hepia inSTI

Financement: HES-SO Rectorat

Description du projet : Un très gros travail de recherche est actuellement déployé pour améliorer les performances des cellules photovoltaïques, toutes technologies confondue (Si, CIGS ; organique,'), à l'aide de nanoparticules. Parmi les différentes opportunités offertes par les nanoparticules, nous nous proposons d'investiguer : ' la fonctionnalisation par dopage d'Erbium de nanoparticules de SiO2 produite par sol-gel ' le greffage de quantum dots de CdSe par des monomères ou des petites molécules accepteur d'électron ' l'utilisation d'Au ou d'Ag colloïdal pour améliorer l'absorption aux grandes longueurs d'onde par effet Rayleigh ou plasmonique

Equipe de recherche au sein de la HES-SO: Jobin Marc , Niederhäuser Elena-Lavinia

Partenaires académiques: hepia inSTI; FR - EIA - Institut ENERGY; Jobin Marc, hepia inSTI

Durée du projet: 13.09.2012 - 03.09.2014

Statut: Terminé

2018

Genetic algorithm optimization of the economical, ecological and self-consumption impact of the energy production of a single building

Scientifique ArODES

Jean-Luc Robyr, Elena-Lavinia Niederhäuser, Ludovic Favre, Thibaut M. Schafer

Energy and Power Engineering, 2018, vol. 12, no. 9

Lien vers la publication

Résumé:

This paper presents an optimization method based on genetic algorithm for the energy management inside buildings developed in the frame of the project Smart Living Lab (SLL) in Fribourg (Switzerland). This algorithm optimizes the interaction between renewable energy production, storage systems and energy consumers. In comparison with standard algorithms, the innovative aspect of this project is the extension of the smart regulation over three simultaneous criteria: the energy self-consumption, the decrease of greenhouse gas emissions and operating costs. The genetic algorithm approach was chosen due to the large quantity of optimization variables and the non-linearity of the optimization function. The optimization process includes also real time data of the building as well as weather forecast and users habits. This information is used by a physical model of the building energy resources to predict the future energy production and needs, to select the best energetic strategy, to combine production or storage of energy in order to guarantee the demand of electrical and thermal energy. The principle of operation of the algorithm as well as typical output example of the algorithm is presented.

2016

Computational fluid dynamics as a tool to predict the air pollution dispersion in a neighborhood :

Scientifique ArODES

a research project to improve the quality of life in cities

Piero Pontelandolfo, Cécile Münch-Alligné, Jean Decaix, Roger Schaer, Henning Müller, Patrick Haas, Nabil Abdennadher, Jacques Richard, Gilles Triscone, Roberto Putzu, Elena-Lavinia Niederhäuser, Christophe Balistreri, Olivier Donzé, D. Greco, H. Haas-Pekoz, T. Mohamed-Nour, Pierre Munier, H. Sthioul, Nicolas Delley, D. Choffat, Sylvain Richard, P. Kunz, F. Despot

International Journal of Sustainable Development and Planning, 2016, vol. 11, no. 4, pp. 546-557

Lien vers la publication

Résumé:

In large cities, pollution composed of many different chemical components and small particles is an important public health problem that affects especially children and people presenting breathing difficulties. One challenge for public authorities is to respect the norms given by the central state, but how? Today, concrete methods for reducing pollution are perceived by the majority of citizens as constraints. However, the authorities have the possibility of modifying the wind’s action by imposing architectural constraints, such as building emplacement and roof structure. This is the main objective of the Geneva ‘Clean City’ project financed by the University of Applied Sciences Western Switzerland. ‘Clean City’ focuses its research on one of Geneva’s polluted neighborhood called Pâquis, which is situated directly on the Geneva lake front. The project attempts to understand the dispersion of pollution from an experimental and a numerical point of view. After validation of the technique for a simple case, we compare environmental measurements on a 1/500 3D scale model of the Pâquis installed in an instrumented wind tunnel with Computational Fluid Dynamics (CFD) simulation obtained with the help of cloud computing.

2015

Novel approach for heating/cooling systems for buildings based on photovoltaic-heat pump :

Scientifique ArODES

concept and evaluation

Elena-Lavinia Niederhäuser, Nicolas Huguelet, Matthias Rouge, Pierre Guiol, David Orlando

Energy Procedia, 2015, vol. 70, pp. 480-485

Lien vers la publication

Résumé:

The paper presents the complete results regarding the energy performance and reliability of a new heating/cooling system designed and developed around an economic and ecological concept: self-consume a maximum amount of energy produced by solar photovoltaic panels. To achieve this goal, a unique regulation system which takes advantage of each kW produced by the PV system was developed and implemented. This technology, compared to a conventional system, increases the performance coefficient for the HP, as well as for the overall installation. These improvements are justified by the accurate regulation of different components of the installation - power modulation of the HP and circulation pumps- and by use of photovoltaic panels allowing a reduction of the electrical energy consumed from the grid. To quantify the contribution of the new system, the energyefficiency was establishedfor the 2 cases: with and without solar PV panels. The results indicate that new system provides a significant gain in performance. This new technology, HP directly driven by PV, produces significant annual improvement compared with a conventional heating system, HP, of 22%.

New innovative solar heating system (cooling/heating) production

Scientifique ArODES

Elena-Lavinia Niederhäuser, Matthias Rouge, Antoine Delley, Harold Brüllhart, Christian Tinguely

Energy Procedia, 2015, vol. 70, pp. 293-299

Lien vers la publication

Résumé:

This paper presents thedevelopment of a compact and cheap solar heating system based on photovoltaic panels, heat pump and heating storage through a smart regulation from a technical and economical point of view. The heat pump can be standard and have its own regulation. The building's owner may interact with the regulation through a web service to visualize the monitoring of the installation, update the calendar of the presence and change the operation mode. One of the goals of the regulation is to optimize the consumption of his own electricity production and therefore minimize the electricity taken from the grid. Several means are developed to reach the main objective. On one hand, the regulation takes into account the weather forecast to anticipate the future heating's needs and the photovoltaic production. Weather forecast data allows also to optimize the storage in hot water tanks and in the building structure. On the other hand, the project includes the development of an electronic module which collects the monitoring data and gives the commands to the heat pump and the pumps. This is accomplished without any intrusion in the heat pump's own regulation and therefore the user keeps the constructor's warranty. The new regulation was validated numerically. The expected energy gain due to the weather forecast is about 10%, while the one due to the self-consumption and the heat storage management will bring another 10-15%.

2021

Thermal energy autonomy study for a reference house equipped with PV panels, a heat pump and PCM storage elements

Conference ArODES

Jacques Robadey, Elena-Lavinia Niederhäuser, S. Vuilleumier

Journal of Physics: Conference Series ; Proceedings of Carbon Neutral Cities - Energy Efficiency & Renewables in the Digital Era, CISBAT 2021, 8-10 September 2021, Lausanne, Switzerland

Recherche

Niederhäuser Elena-Lavinia

Professeure HES associée

Compétences principales

Computational Fluid Dynamics (CFD)

Energy modeling and simulation

Optimisation de système énergétique

Energy efficiency

Renewable energy technologies

Building performance

Machines Hydrauliques

Professeure HES associée