Lecture

Kinetic gas theory: statistical thermodynamics

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In course

ME-251: Thermodynamics and energetics I

The course introduces the basic concepts of thermodynamics and heat transfer, and thermodynamic properties of matter and their calculation. The students will master the concepts of heat, mass, and momentum conservation, and apply these concepts to thermody ...

Description

This lecture delves into the kinetic gas theory, focusing on the movement of molecules in one-atomic gases. It covers topics such as molar mass, density, specific volume, molecular interactions, thermal energy, velocity distribution, temperature, pressure, and inner energy for different types of gases.

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Instructors (2)

Daniel Favrat

Daniel Favrat got his Master degree in Mechanical Engineering from EPFL in 1972 and his PhD also from EPFL. He then spent 12 years in industrial research laboratories in Canada (Esso Canada) and Switzerland (CERAC: Centre Européen de Recherche Atlas Copco). From 1988 to 2013, he was full professor and director of the Industrial Energy Systems Laboratory (LENI) at EPFL. During that period he was successively director of the Institute of Energy and director of the Institute of Mechanical Engineering. From August 2013 he works at EPFL Energy Center first as director ad interim and now as director technologies. His research fields include systemic analyses accounting for energy, environment and economics (so-called environomic optimisation) and advanced conversion systems for a more rational use of energy (heat pumps &ORC, engines, fuel cells, power plants, etc). He is a member of the Swiss Academy of Engineering Sciences and of the National Academy of Technology in France. He has also an active participation in the World Federation of Engineering Organizations (WFEO) as a member of the executive committee and vice-chair of the energy committee. He is associate editor of the journal "Energy" and of International Journal of thermodynamics. He is the author of several books on thermodynamics and energy systems analysis. He is also affiliate professor at the Royal Institute of Technology (KTH) in Stockholm.

Sophia Haussener

Sophia Haussener is an Associate Professor heading the Laboratory of Renewable Energy Science and Engineering at the Ecole Polytechnique Fédérale de Lausanne (EPFL). Her current research is focused on providing design guidelines for thermal, thermochemical, and photoelectrochemical energy conversion reactors through multi-physics modeling. Her research interests include: thermal sciences, fluid dynamics, charge transfer, electro-magnetism, and thermo/electro/photochemistry in complex multi-phase media on multiple scales. She received her MSc (2007) and PhD (2010) in Mechanical Engineering from ETH Zurich. Between 2011 and 2012, she was a postdoctoral researcher at the Joint Center of Artificial Photosynthesis (JCAP) and the Energy Environmental Technology Division of the Lawrence Berkeley National Laboratory (LBNL). She has published over 70 articles in peer-reviewed journals and conference proceedings. She has been awarded the ETH medal (2011), the Dimitris N. Chorafas Foundation award (2011), the ABB Forschungspreis (2012), the Prix Zonta (2015), the Global Change Award (2017), and the Raymond Viskanta Award (2019), and is a recipient of a Starting Grant of the Swiss National Science Foundation (2014). She is a deputy leader in the Swiss Competence Center for Energy Research (SCCER) on energy storage and acts as a Member of the Scientific Advisory Council of the Helmholtz Zentrum.

Official source

Ontological neighbourhood

Physics

Thermodynamics: Statistical mechanics

Related concepts (32)

Statistical mechanics

In physics, statistical mechanics is a mathematical framework that applies statistical methods and probability theory to large assemblies of microscopic entities. It does not assume or postulate any natural laws, but explains the macroscopic behavior of nature from the behavior of such ensembles. Sometimes called statistical physics or statistical thermodynamics, its applications include many problems in the fields of physics, biology, chemistry, and neuroscience.

Thermodynamics

Thermodynamics is a branch of physics that deals with heat, work, and temperature, and their relation to energy, entropy, and the physical properties of matter and radiation. The behavior of these quantities is governed by the four laws of thermodynamics which convey a quantitative description using measurable macroscopic physical quantities, but may be explained in terms of microscopic constituents by statistical mechanics.

Temperature

Temperature is a physical quantity that expresses quantitatively the perceptions of hotness and coldness. Temperature is measured with a thermometer. Thermometers are calibrated in various temperature scales that historically have relied on various reference points and thermometric substances for definition. The most common scales are the Celsius scale with the unit symbol °C (formerly called centigrade), the Fahrenheit scale (°F), and the Kelvin scale (K), the latter being used predominantly for scientific purposes.

Maximum entropy thermodynamics

In physics, maximum entropy thermodynamics (colloquially, MaxEnt thermodynamics) views equilibrium thermodynamics and statistical mechanics as inference processes. More specifically, MaxEnt applies inference techniques rooted in Shannon information theory, Bayesian probability, and the principle of maximum entropy. These techniques are relevant to any situation requiring prediction from incomplete or insufficient data (e.g., , signal processing, spectral analysis, and inverse problems).

Entropy (statistical thermodynamics)

The concept entropy was first developed by German physicist Rudolf Clausius in the mid-nineteenth century as a thermodynamic property that predicts that certain spontaneous processes are irreversible or impossible. In statistical mechanics, entropy is formulated as a statistical property using probability theory. The statistical entropy perspective was introduced in 1870 by Austrian physicist Ludwig Boltzmann, who established a new field of physics that provided the descriptive linkage between the macroscopic observation of nature and the microscopic view based on the rigorous treatment of large ensembles of microstates that constitute thermodynamic systems.

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