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Publications associées (118)

Thermo-hydro-mechanical behavior of energy barrettes: Field experiments and numerical simulations

Lyesse Laloui, Elena Ravera, Alessandro Francesco Rotta Loria

Over the past two decades, the thermo-hydro-mechanical behavior of earth-contact structures such as piles, walls, slabs, and tunnels, which simultaneously provide structural support and energy supply, has been studied through various field experiments and ...

ELSEVIER2023

Dielectric Elastomer Actuator-Based Valveless Impedance-Driven Pumping for Meso- and Macroscale Applications

Yves Perriard, Yoan René Cyrille Civet, Thomas Guillaume Martinez, Francesco Clavica, Armando Matthieu Walter, Amine Benouhiba, Silje Ekroll Jahren

Impedance pumps are simple designs that allow the generation or amplification of flow. They are fluid-filled systems based on flexible tubing connected to tubing with different impedances. A periodic off-center compression of the flexible tubing causes the ...

2023

Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats

Rachid Guerraoui, Alexandre David Olivier Maurer, Omid Ardakanian

Smart thermostats are increasingly popular in homes and buildings as they improve occupant comfort, lower energy use in heating and cooling systems, and reduce utility bills by automatically adjusting room temperature according to measurements of their bui ...

ELSEVIER SCIENCE SA2023

Analysis of barrette foundations subjected to mechanical and thermal loads

Lyesse Laloui, Alessandro Francesco Rotta Loria

In recent years, there has been increasing interest in the use of rectangular barrette foundations for the structural support and energy supply of tall buildings when circular piles become inefficient or uneconomical. In such applications, so-called energy ...

ELSEVIER2022

Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy: Balancing comfort, hygiene and energy use

François Maréchal, Dolaana Khovalyg, Amirreza Heidari

When it comes to residential buildings, there are several stochastic parameters, such as renewable energy production, outdoor air conditions, and occupants’ behavior, that are hard to model and predict accurately, with some being unique in each specific bu ...

2022

Local heating and cooling effectiveness - an evaluation method based on calculated local and overall thermal state

Dolaana Khovalyg, Mohamad Rida

The application of Personal Comfort Systems (PCS) in the buildings demonstrated their potential to improve thermal comfort and reduce energy use by the space conditioning HVAC systems. With its personal controllability (on-demand) PCS is a practical soluti ...

TU Delft2022

Using Machine Learning to estimate the technical potential of shallow ground-source heat pumps with thermal interference

Roberto Castello, Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Alina Ursula Rosa Walch

The increasing use of ground-source heat pumps (GSHPs) for heating and cooling of buildings raises questions regarding the technical potential of GSHPs and their impact on the temperature in the shallow subsurface. In this paper, we develop a method using ...

IOP PUBLISHING LTD2021

Experimental Characterization of Additively Manufactured Metallic Heat Exchangers

Mahbod Heidari

In this study, three manifold-microchannel heat exchangers were additively manufactured by direct metal laser sintering. The heat exchangers were manufactured from stainless steel (SS17-4) with an overall dimension of 64.2 x 46.0 x 27.1 mm. The thermal and ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Hydrothermal interactions in energy walls

Lyesse Laloui, Alessio Ferrari, Jacopo Zannin

Energy geostructures (EGs) employ heat exchangers embedded in concrete geostructures, such as piles, walls, tunnels, and sewers. In this study, energy walls (EWs) are studied with an emphasis on the following objectives: (1) to understand the fundamentals ...

KEAI PUBLISHING LTD2021

Machine learning enhancement of thermal response tests for geothermal potential evaluations at site and regional scales

Lyesse Laloui, Alessandro Francesco Rotta Loria

This study explores and validates a machine learning approach for the practical, effective, and precise prediction of the thermo-physical characteristics that are essential for the analysis and design of shallow geothermal systems, including borehole heat ...

2021

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