Ray-tracing MRT and human thermophysiology model combination for local discomfort prediction

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Radiant systems allowing high-temperature cooling have been considered energy-efficient solutions for indoor climatization. In addition, radiant systems prevent local discomfort, such as air movement and vertical air temperature difference. However, the ap ...

The atmospheric layer adjacent to the earth's surface is of crucial importance for weather models due to the exchange of energy between the surface and the atmosphere. This exchange is dependent on the various surface properties and influences the state of ...

In this paper, we consider experimental data available for graphene-based nanolubricants to evaluate their convective heat transfer performance by means of computational fluid dynamics (CFD) simulations. Single-phase models with temperature-dependent prope ...

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 ...

The presence of a ventilated air gap behind the external cladding in a building envelope is known to have a tangible contribution to the overall performance of the wall assembly. In the present study, the hydrodynamic and thermal performances of ventilated ...

The transition towards a human-centered indoor climate is beneficial from occupants’ thermal comfort and from an energy reduction perspective. However, achieving this goal requires the knowledge of the thermal state of individuals at the level of body part ...

The next generation of high-energy physics (HEP) detectors will predominantly be silicon-based. As pixel sensor technology gains momentum and the number of channels surpasses one billion (for a volume of approximately 20 m3) to achieve the high resolution ...

In laser based powder-bed fusion of metals (PBF-LB/M), parts are fabricated by melting layers of powder using a high-intensity laser beam. During this process, the material is exposed to rapid cooling rates and intense thermal gradients, which are the unde ...

Facades are the primary interface controlling the flow of solar energy in buildings and affecting their energy balance and environmental impact. Recently, large-scale 3D printing (3DP) of translucent polymers has been explored as a technique for fabricatin ...

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 ...

Skyscrapers or glass towers are an extremely common model throughout the world. In the current context of climate change and resource depletion, we need to develop new postures towards these objects, especially for existing buildings that are becoming obso ...

Professionals in the building design and operation fields typically look at standards and guidelines as a reliable source of information and guidance with regard to procedural, contractual, and legal scope and requirements that are relevant to accountabili ...

Assessing and optimizing human indoor comfort is challenging as physiological, psychological, and environmental variables influence it. Therefore, it is crucial to understand variability of human physiological parameters and underlying mechanisms. Metaboli ...

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 ...

Human thermo-physiology models (HTPM) are useful tools to assess dynamic and non-uniform human thermal states. However, they are developed based on the physiological data of an average person. In this paper, we present a detailed evaluation of two sophisti ...

Current thermal comfort models used in practice do not consider physiological and psychological differences of people. With this respect, human thermo-physiology models (HTPM) are useful tools to assess human thermal comfort at local and overall levels of ...

Space heating controls in offices usually follow static schedules detached from actual occupancy, which results in energy waste by unnecessarily heating vacant offices. The uniqueness of stochastic occupancy profile and thermal response time of each office ...

High-speed turbomachinery is commonly designed to achieve high power densities. Limited space for active cooling results in a challenging thermal management. A thermal modeling approach leveraging modern declarative programming capabilities is presented, y ...

Currently, the indoor thermal environment in many buildings is controlled by conventional control techniques that maintain the indoor temperature within a prescribed deadband. The latest research provides evidence that more dynamic variations of the indoor ...

Sensing and projecting an individual’s human thermal comfort in buildings is a complex but crucial task for transitioning toward human-centered indoor climate control. Non-intrusive collection of physiological and personal information from the human body, ...

Ray-tracing MRT and human thermophysiology model combination for local discomfort prediction

Chat with Graph Search

Low-Temperature Radiant Cooling and its Effect on the Local Indoor Thermal Environment

Turbulence and Heat exchange in the Near-Surface Boundary Layer over Patchy Snow

Computational fluid dynamics simulations of the heat transfer properties of graphene-based nanolubricants and application to hydrodynamic lubrication

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

Experimental study of the hydrodynamic and thermal performances of ventilated wall structures

Toward contactless human thermal monitoring: A framework for Machine Learning-based human thermo-physiology modeling augmented with computer vision

Radiation-tolerant Multichannel Dew Point Temperature Monitoring System for High Energy Physics Applications

Advancing efficiency and reliability in thermal analysis of laser powder-bed fusion

Tuning the Solar Performance of Building Facades through Polymer 3D Printing: Toward Bespoke Thermo-Optical Properties

DIET Controller: Dynamic Indoor Environment using Deep Reinforcement Learning

Taking a step back from glass towers facades to make them compatible with the 2050 targets

Thermal Conditions in Indoor Environments: Exploring the Reasoning behind Standard-Based Recommendations

Human sitting behavior at office work and its effect on metabolic rate under varying thermal exposure

Transparent structured conductive coating for applications in smart windows

Modeling local thermal responses of individuals: Validation of advanced human thermo-physiology models

Validation of human thermo-physiology models for personalized predictions of thermal responses

DeepValve: Development and experimental testing of a Reinforcement Learning control framework for occupant-centric heating in offices

Thermal management for gas lubricated, high-speed turbomachinery

Dynamic indoor thermal environment using Reinforcement Learning-based controls: Opportunities and challenges

Non-intrusive physiological parameters sensing for personalized human thermal comfort prediction