Recherche

Niederhäuser Elena-Lavinia

Professeure HES associée

COMPÉTENCES PRINCIPALES

Computation Fluid Dynamics (CFD)

Energy modeling and simulation

Optimisation de système énergétique

Professeure HES associée

Téléphone: +41 26 429 66 61

Bureau: 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

En cours

Planchers en bois hybrides bi-axiales multifonctionnels

Rôle: Co-requérant(s)

Financement: FR - EIA - Institut iTEC; FR - EIA - Général école Ra&D

Description du projet : Le projet veut prouver la faisabilité technique d'un système de plancher, composé de bois et béton allégé par le bois (bois-béton « WooCon »), comme alternative aux prédalles en béton. Il est composé de multiples petites sections en bois massif comme coffrage perdu autoporteur, d'où les connexions sont optimisées par fabrication digitale, finalement intégrées dans un bois-béton monolithique coulé sur place, fournissant aussi des performances importantes physiques du bâtiment.

Equipe de recherche au sein de la HES-SO: Buri Hans, Zwicky Daia, Niederhäuser Elena-Lavinia, Macchi Niccolò

Partenaires académiques: FR - EIA - Institut ENERGY; FR - EIA - Institut TRANSFORM

Durée du projet: 21.08.2019 - 31.08.2021

Montant global du projet: 149'900 CHF

Statut: En cours

Terminés

Multifunctionality features of alternative structural slab components made of wood-based light-weight concrete and technical flax-fiber textiles

Rôle: Co-requérant(s)

Requérant(e)s: FR - EIA - Institut iTEC

Financement: FR - EIA - Général école Ra&D; SLL HEIA-FR

Description du projet : The project targets at evaluating relevant multifunctionality properties and ecological impacts of new slab elements to be developed. It aims at identifying thermal properties of newly developed wood-based "bio-concretes", and at evaluating impacts of different conceptual designs for hybrid slabs on overall energy consumption of a case study building and eco-balance. The projects also envisages fabrication of a demonstrator, in view of a potential commercialization of the construction system.

Equipe de recherche au sein de la HES-SO: Vuarnoz Didier, Zwicky Daia, Meszes Adam Attila, Schaller Marc, Chiarelli Maxime, Bourrier Hervé, Monnard Jacques, Raetzo Raphaël, Niederhäuser Elena-Lavinia

Partenaires académiques: FR - EIA - Institut iTEC; ETHZ / IBI; Niederhäuser Elena-Lavinia, FR - EIA - Institut ENERGY

Durée du projet: 02.07.2019 - 31.10.2019

Montant global du projet: 13'000 CHF

Statut: Terminé

Micro couplage chaleur-force à l'échelle du quartier

Rôle: Co-requérant(s)

Description du projet : Le couplage chaleur force (CCF) permet la production des deux formes d'énergie les plus utilisées dans l'habitat : la chaleur et l'électricité. La production étant contrôlée, cette technologie peut servir d'aide à la régulation du réseau, tant thermique qu'électrique. L'objet de ce projet est l'étude de micro CCF, mis en réseau à l'échelle d'un quartier. Un CCF par maison et leur interconnexion grâce à un réseau de chauffage permettra d'optimiser la production et la distribution d'énergie. Un outil de simulation permettra d'étudier différents scénarios. Par cet outil, en tenant compte des aspects énergétiques, écologiques et économiques, le concept global le plus intéressant pourra être défini. Par une étude des éléments constituants les CCF, les principaux choix technologiques (moteur, génératrice,') seront faits et un pré-dimensionnement sera réalisé. En partenariat avec des sociétés actives dans le domaine des CCF, la réalisation d'un prototype permettra de faire des mesures concrètes.

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

Durée du projet: 15.01.2015 - 05.12.2017

Statut: Terminé

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

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

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 ArODES Scientifique

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

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

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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.

2019

An innovative PCM storage system to enhance building energy autonomy : experimental and numerical characterization ArODES Conference

Jacques Robadey, Elena-Lavinia Niederhäuser

IOP Journal of Physics: Conference Series

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On the necessity to integrate power flexibility in cooling systems ArODES Conference

Dominique Gabioud, Elena-Lavinia Niederhäuser

Journal of Physics : Conference Series ; Proceedings of 2019 3rd International Symposium on Green Energy and Smart Grid

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Résumé:

Today, cooling systems are widely used, notably with the unprecedented growth of data centres and building space cooling. These thermodynamic systems are powered mainly with electricity, and their peak loads are generally associated with very high carbon footprints. At the same time, congestion of the grid due to high load or renewable power injection is becoming an issue for all actors involved with electricity (producers, providers, consumers, and prosumers). Actually, both the price and associated carbon footprint of electricity usually fluctuates along with the charge of the network. This paper discusses the integration of power flexibility (PF) in new and existing cooling systems to avoid a possible cold crunch in the near future. After defining PF, several cooling systems archetypes are presented. Three possible ways to integrate PF are explained: flexibility by thermal inertia and energy storage (thermal and electrochemical). While PF principally targets the reduction of stress on the electric grid, other benefits can also be achieved, e.g. mitigation of direct carbon emissions and decrease of costs related to operating the refrigeration system. We explain how better management of energy transits and possible imbalance in electricity networks can be achieved by thermal inertia. The choice of integrating thermal storage or electric battery is discussed, and both solutions are considered in a specific case study. The study aims at better management of power loads on electricity network caused by the cooling system and could be useful for anyone involved with grid management and/or refrigeration systems.

2018

Design of a new Kaplan pico-turbine runner blades ArODES Conference

Laurent Donato, Elena-Lavinia Niederhäuser, Maxime Chiarelli

Proceedings of 29th IAHR Symposium on hydraulic machinery and systems, September 16-21, 2018, Kyoto, Japan

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Résumé:

Within the frame of the design of a pico-hydro power plant for developing countries, the University of Applied Sciences of Fribourg (Switzerland) aims to develop a low-cost Kaplan turbine with a power output of at least 1kW. The current paper presents the study and the results of the development of this new turbine as well as the seeming paradox to use advanced simulation technics in order to design a low-cost turbine. At first, a turbine with twisted blades was designed to obtain the best performance. Numerical simulations (CFD) and experimental tests were performed to characterize the turbine performance. The first prototype is manufactured by a 5-axis CNC machine. Nevertheless, in developing coutrines this technology is not accessible and therefore, a new approach for the design has to be considered and applied. The manufacturing processes within these countries is studied and presented. The best known manufacturing techniques for those countries are those based on metal sheets and welding. Hence, a pico-turbine which can be completely realized using these techniques is designed and investigated. The challenge was to determine the optimal thickness, the guide blade angle and the best bending of the runner blades, which are then welded on a hub. The turbine performance is characterized by CFD simulations. By varying the parameters mentioned above, the best compromise between feasability and performance is found. The results show that the low-cost turbine has a reduced mechanical power of 50 % compared to the standard turbine. Nevertheless, the achieved overall power output is by far sufficient for the intendend application and the simplicity of design guarantees an uncomplicated maintenance. Currently, the concept is validated and tested in Madagascar. Besides the use in developing countries, the turbine has the potential to be installed in mountain regions or any other isolated regions within developed countries.

Design and performance evaluation of a substitution solution for spiral casing of pico-hydroelectric plants ArODES Conference

Laurent Donato, Elena-Lavinia Niederhäuser, Maxime Chiarelli

Proceedings of 29th IAHR Symposium on hydraulic machinery and systems, September 16-21, 2018, Kyoto, Japan

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Résumé:

A test bench for Kaplan and Francis pico-turbines was developed at the University of Applied Sciences of Fribourg (Switzerland) to test different axial turbine designs from 0.3 to 6 kW. Using the experimental results, this test bench allows comparing the results of the CFD simulations and of the measurements of the tested turbines. During the test rig design, due to the different specific components of the axial turbine, a new concept was developed to replace the spiral casing. The current paper presents the design of a substitution solution for the spiral casing of pico-hydroelectric plants and its performance compared to the standard solution by numerical simulations. The new concept, called "water-box", had to fulfil some criteria: allow adapting to different flow conditions (flow rate up to 65 l/s and to a pressure range up to 10 bar), while ensuring the same uniform flow distribution as with a standard spiral casing. In the same time, it had to allow optimizing other parameters like the space needed and the costs. The idea is to keep the principle of a sideway inlet and an axial outlet but using standard elements of industrial piping to reduce the costs. With this geometry, the fluid is naturally rotated and pushed towards the axial exit. There, a convergent pipe is mounted and finally, a stabilization grid which homogenizes the flow and break the rotation before the turbine. The performances of the new concept were evaluated and the results compared with a "standard" designed spiral casing by CFD simulations. The results showed that with the "water-box", the pressure losses are 22 times higher. Nevertheless, the manufacturing simplicity of the water-box compared to the spiral casing achieves a substantial costs reduction of about 65 %. Thus, all the criteria were fulfilled. This simplicity associated with performances, which remain very interesting open new fields of application notably for pico-hydroelectric turbines installed for example on domestic sites.

Improvement of the environmental impact of the global energy management of buildings by genetic algorithm optimization ArODES Conference

Jean-Luc Robyr, Elena-Lavinia Niederhäuser

Proceedings of 5th International Conference on Electric Power and Energy Conversion Systems (EPECS), 23-25 April 2018, Kitakyushu, Japan

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Résumé:

The reduction of the environmental impact of buildings through better energy management could play a significant role in achieving nowadays greenhouse gas emission reduction targets. In this context and following this purpose, we developed a regulation algorithm to manage the global energy resources of buildings. The control approach optimizes the coupling between local renewable energy production systems (e.g. thermal and photovoltaic solar panels) and energy storage devices (e.g. cold and hot water storage tanks, electrical battery). The innovative aspect of this project compared to standard regulations is the simultaneous optimization of three criteria: the consumption of external energy resources, the costs and the ecological impact. In this paper we present and analyse the implementation of this regulation based on the ecological criterion. A genetic optimization is performed according to a score function evaluating the ecological impact based on the CO2 equivalent production. In order to improve the strategy, the regulation predicts the future energy demand and production. The genetic algorithm approach is used due to the large amount of optimization variables and the non-linearity of the score function. This genetic optimization algorithm uses real time data like building physical data (e.g. internal temperature) and prediction based on the user’s habits and weather information to define the best energy strategy. It insures the electrical and thermal energy demand while optimizing the ecological criterion. To demonstrate the algorithm performances, the regulation was implemented and tested with an independent simulation environment. The ecological impact of the genetic algorithm regulation over one week is then compared to the greenhouse gas emission from a standard regulation. With this setting, a reduction of 29 kg equivalent CO2 was realized, which shows the enormous potential of the new regulation approach.

Intelligent algorithm for energy, both thermal and electrical, economic and ecological optimization for a smart building ArODES Conference

Jean-Luc Robyr, Elena-Lavinia Niederhäuser

Proceedings of ENERGYCON 2018 IEEE International Energy Conference, 3-7 June 2018, Cyprus

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Résumé:

In the frame of a research project conducted at the Smart Living Lab (SLL), a research center dedicated to the building of the future, this paper presents an algorithm that optimizes the coupling of local renewable energy production systems with energy storage devices and the different consumers both at the level of the building and of its peripherals. The main goal is to improve the energy self-sufficiency of a building by combining three aspects in the same time. The optimization criteria are the renewable energy based independence and the ecological (greenhouses gases emissions) and economical (costs) aspects. The underlying approach to perform the global optimization is first presented, explaining how the algorithm combines and optimizes these three criteria. For this purpose, it takes into account the current value of the state variables (temperature, etc.) and the forecasts future values. These data represent the input of a genetic optimization algorithm that computes the best use of each element of the production and storage systems to ensure the electrical and thermal energy demand. The choice of genetic algorithm is motivated by the large amount of optimization variables and the non-linearity of the score function. The typical computation time for this kind of optimization is short enough to allow a real time regulation. The composition of the energy production and storage is flexible allowing to integrate many technologies types, thus increasing its portability.

Convergence of multi-criteria optimization of a building energetic resources by genetic algorithm ArODES Conference

Jean-Luc Robyr, Elena-Lavinia Niederhäuser

Proceedings of 2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 29 May-1 June 2018, Kajang, Malaysia

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Résumé:

Better energy management systems for buildings could play a significant role in achieving nowadays greenhouse gas emission reduction targets. In this context, a regulation algorithm to manage the interaction between local renewable energy production, local energy storage devices and an external power source (power grid) was developed. The innovative aspect of this project compared to existing solution is the simultaneous optimization following three criteria: the external energy consumption, the cost and ecological impacts. The new optimization algorithm is based on the genetic algorithm method due to the large solutions space and the non-linearity of the optimization function. This method is coupled to a physical model of the building under study (a typical dwelling house) and its energetic network (production and storage). In addition, weather forecast data as well as data on the user habits are integrated. This paper shows the results of the optimization algorithm applied to a set of realistic values. The genetic algorithm is compared to a pure random optimization approach and their optimization efficiencies are analyzed. Finally, the best strategy obtained by the genetic algorithm for a realistic computation time of several minutes is presented and investigated in detailed. This results shows that the genetic algorithm can perform a 48 hours simulation with no outcome costs, a global production of 4.3 kWh of energy and a greenhouse gas production of -1.4 kg of CO2 equivalent, whereas the consumption of the building costs +1.3 CHF, consumes 7.0 kWh of energy and generates +1.3 kg of CO2 equivalent.

Controlled active thermal storage in smart PCM walls for energy independent building applications ArODES Conference

Jacques Robadey, Elena-Lavinia Niederhäuser

Proceedings of 5th International Conference on Renewable Energy : Generation and Applications 2018 (ICREGA), Al Ain, United Arab Emirates, 26-28 February

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Résumé:

The use of renewable energy sources towards autonomous buildings is promising, not only for electrical energy generation but also for heating purposes. However, it presents one fundamental issue: the shift between energy production and heating energy demand. This paper presents a solution to this problem in the form of an optimized, thermally controlled storage using phase change materials integrated to building walls. In contrast to the standard applications of phase change materials, which are currently used to solely improve the thermal inertia of buildings, this paper introduces an active management of heat storage. In particular, it allows the heat energy discharge through the activation of forced convection on demand. A test bench was designed and manufactured. Measurements performed showed excellent agreements with simulated results.

Thermal storage and discharge efficiency as a function of the PCM fusion temperature: simulations and experimental analysis ArODES Conference

Jacques Robadey, Elena-Lavinia Niederhäuser

Proceedings of 15. Symposium Energieinnovation (EnInnov) 2018, 14-16. Februar, Graz, Austria

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Résumé:

Despite their very promising building energy storage capabilities, PCM are still in the investigating phase before a large potential deployment. This is due to several challenges [1] such as high storage capacity and efficient heat extraction [2]. If the storage capacity can be adapted by implementing an appropriate quantity of PCM, the heat extraction efficiency is more delicate and difficult to optimize. It depends on the conductivity between the PCM surface and the indoor air and can be enhanced by ventilating the PCM surface.

Thermal storage and discharge efficiency as a function of the PCM phase change temperature : simulations and experimental analysis ArODES Conference

Jacques Robadey, Elena-Lavinia Niederhäuser

Proceedings of 15. Symposium Energieinnovation (EnInnov) 2018, 14-16. Februar, Graz, Austria

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Résumé:

Despite their very promising building energy storage capabilities, PCM are still in the investigating phase before a large potential deployment. This is due to several challenges [1] such as high storage capacity and efficient heat extraction [2,3,4]. If the storage capcity can be adapted by implementing appropriate quantity of PCM, the heat extraction efficiency is more delicate and difficult to optimize. It depends on the conductivity of the PCM and on the heat flow between the PCM surface and the indoor air which can be enhanced by ventilating the PCM surface.

Controlled active thermal storage in smart PCM walls for energy independent building applications ArODES Conference

Jacques Robadey, Elena-Lavinia Niederhäuser

Proceedings of 2018 5th International Conference on Renewable Energy: Generation and Applications (ICREGA)

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Résumé:

Development and validation of an intelligent algorithm for synchronizing a low-environmental-impact electricity supply with a building’s electricity consumption ArODES Conference

Elena-Lavinia Niederhäuser

Proceedings of The 4th International Conference on Renewable Energy Technologies (ICRET 2018) ; IOP Conference Series: Earth and Environmental Science

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Résumé:

Standard algorithm of building’s energy strategy often use electricity and its tariff as the sole criterion of choice. This paper introduced an algorithmic regulation using global warming potential (GWP) of energy flux, to select which installation will satisfy the building energy demand (BED). In the frame of the Correlation Carbon project conducted by the Smart Living Lab (SLL), a research center dedicated to the building of the future, this paper presents the algorithm behind the design, the selection and the operation of appropriate energy installations for low-carbon buildings. The control strategy governing the building’s energy flow takes into account demand, supply and storage. The latter being mainly linked to economic or energy benefits, which standard algorithms often use as the only criterion of choice, thus increasing the environmental impact of the energy flowing through the building. In contrast to those, the algorithm introduced in this paper controls the energy fluxes of the electrical grid, p photovoltaic (PV) panels, static and vehicle batteries according to their GWP. A simulation over one year at an hourly time step – enabling one to take into account small but significant variations of the GWP of the electricity from grid – is presented for different scenarios, in order to draw an annual balance for a given combination of energy systems. The algorithm chooses the “cleanest” instantaneous energy source combination to meet the BED. Simulations show that a building using this algorithm can satisfy its BED while reducing its GWP by as much as 40% compared to an energy supply using the grid only.

2014

Computational fluid dynamics as a tool to predict the air pollution dispersio in a neighborhood : a research project to improve the quality of life in cities ArODES Conference

Piero Pontelandolfo, Cécile Münch-Alligné, Jean Decaix, Roger Schaer, Henning Müller, Patrick Haas, Hervé Sthioul, Nabil Abdennadher, Gilles Triscone, Roberto Putzu, Elena-Lavinia Niederhäuser, Christophe Balistreri, David Choffat, Fabienne Despot

Proceedings of Smart city expo world congress 2014

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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 neighborhoods 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. In Barcelona, we will show the first experimental measurements and simulated “Clean City” results.

Réalisations

Niederhäuser Elena-Lavinia

Professeure HES associée

COMPÉTENCES PRINCIPALES

Computation Fluid Dynamics (CFD)

Energy modeling and simulation

Optimisation de système énergétique

Energy efficiency

Renewable energy technologies

Building performance

Machines Hydrauliques

Professeure HES associée

Planchers en bois hybrides bi-axiales multifonctionnels

Multifunctionality features of alternative structural slab components made of wood-based light-weight concrete and technical flax-fiber textiles

Micro couplage chaleur-force à l'échelle du quartier

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

Nanoparticules fonctionnalisées appliquées au photovoltaïque

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

An innovative PCM storage system to enhance building energy autonomy : experimental and numerical characterization ArODES Conference

On the necessity to integrate power flexibility in cooling systems ArODES Conference

Design of a new Kaplan pico-turbine runner blades ArODES Conference

Design and performance evaluation of a substitution solution for spiral casing of pico-hydroelectric plants ArODES Conference

Improvement of the environmental impact of the global energy management of buildings by genetic algorithm optimization ArODES Conference

Intelligent algorithm for energy, both thermal and electrical, economic and ecological optimization for a smart building ArODES Conference

Convergence of multi-criteria optimization of a building energetic resources by genetic algorithm ArODES Conference

Controlled active thermal storage in smart PCM walls for energy independent building applications ArODES Conference

Thermal storage and discharge efficiency as a function of the PCM fusion temperature: simulations and experimental analysis ArODES Conference

Thermal storage and discharge efficiency as a function of the PCM phase change temperature : simulations and experimental analysis ArODES Conference

Controlled active thermal storage in smart PCM walls for energy independent building applications ArODES Conference

Development and validation of an intelligent algorithm for synchronizing a low-environmental-impact electricity supply with a building’s electricity consumption ArODES Conference

Computational fluid dynamics as a tool to predict the air pollution dispersio in a neighborhood : a research project to improve the quality of life in cities ArODES Conference