Thermal management for gas lubricated, high-speed turbomachinery

Related publications (28)

About
Privacy
Disclaimer

Graph Chatbot

Plasmonic Nanofluids: Enhancing Photothermal Gradients toward Liquid Robots

In situ energy generation in soft, flexible, autonomous devices is challenging due to the need for highly stretchable and fault-resistant components. Nanofluids with pyro-, tribo-, or thermoelectric properties have recently emerged as promising solutions f ...

Amer Chemical Soc2023

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

Transparent structured conductive coating for applications in smart windows

Jérémy Jacques Antonin Fleury

Solar radiation reaching the surface of the earth for a period of one hour contains more energy than that consumed by mankind over an entire year. Some of this solar energy is already collected by photovoltaic cells to cover the electricity needs of buildi ...

EPFL2023

PePTM: An Efficient and Accurate Personalized P2P Learning Algorithm for Home Thermal Modeling

Rachid Guerraoui, Alexandre David Olivier Maurer, Omid Ardakanian

Nowadays, the integration of home automation systems with smart thermostats is a common trend, designed to enhance resident comfort and conserve energy. The introduction of smart thermostats that can run machine learning algorithms has opened the door for ...

MDPI2023

Resolving indoor shortwave and longwave human body irradiance variations for mean radiant temperature and local thermal comfort

Dolaana Khovalyg, Arnab Chatterjee, Mohamad Rida

A spatially and directionally resolved longwave and shortwave radiant heat transfer model is presented via a series of experiments in a thermal lab to input surface temperatures and geometries, as well as skin temperature readings from a human subject, in ...

2023

DIET Controller: Dynamic Indoor Environment using Deep Reinforcement Learning

Arnab Chatterjee

Heating, Ventilation, and Air Conditioning (HVAC) Systems utilize much energy, accounting for 40% of total building energy use. The temperatures in buildings are commonly held within narrow limits, leading to higher energy use. Measurements from office bui ...

EPFL2023

Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models

Rachid Guerraoui, Alexandre David Olivier Maurer, Omid Ardakanian

The integration of smart thermostats in home automation systems has created an opportunity to optimize space heating and cooling through the use of machine learning, for example for thermal model identification. Nonetheless, its full potential remains unta ...

Assoc Computing Machinery2023

Energy, SBS symptoms, and productivity in Swiss open-space offices: Economic evaluation of standard, actual, and optimum scenarios

Dusan Licina, Dolaana Khovalyg, Arnab Chatterjee, Verena Marie Barthelmes, Cecile Anne Berquand

The fundamental aspiration of new-generation high-performing buildings is to reduce energy use while securing indoor environmental quality conducive to human health and productivity. However, existing frameworks for identifying Key Performance Indicators ( ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Page 3 of 3

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

ELSEVIER SCIENCE SA2023

Resolving indoor shortwave and longwave human body irradiance variations for mean radiant temperature and local thermal comfort

Dolaana Khovalyg, Arnab Chatterjee, Mohamad Rida

2023

Energy, SBS symptoms, and productivity in Swiss open-space offices: Economic evaluation of standard, actual, and optimum scenarios

Dusan Licina, Dolaana Khovalyg, Arnab Chatterjee, Verena Marie Barthelmes, Cecile Anne Berquand

PERGAMON-ELSEVIER SCIENCE LTD2023