Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

185
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
185
Internal Combustion Engine01:20

Internal Combustion Engine

2.2K
The internal combustion engine is a heat engine that uses the byproducts of combustion as the working fluid instead of using a heat transfer medium to transfer heat. The combustion is done in a way that produces high-pressure combustion products that can be expanded through a turbine or piston to create work. Internal combustion engines can again be categorized into three kinds: (1) spark ignition gasoline engines, most commonly used in automobiles, (2) compression ignition diesel engines that...
2.2K
Turnover Number and Catalytic Efficiency01:19

Turnover Number and Catalytic Efficiency

18.7K
The turnover number of an enzyme is the maximum number of substrate molecules it can transform per unit time. Turnover numbers for most enzymes range from 1 to 1000 molecules per second. Catalase has the known highest turnover number, capable of converting up to 2.8×106 molecules of hydrogen peroxide into water and oxygen per second. Lysozyme has the lowest known turnover number of half a molecule per second.
Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion....
18.7K
Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

640
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
640
Otto and Diesel Cycle01:27

Otto and Diesel Cycle

2.9K
An Otto engine is a four-stroke engine that uses a mixture of gasoline and air as the working fuel. The fuel is injected into the cylinder, and the piston is moved completely down so that the cylinder is at maximum volume. By moving the piston up, adiabatic compression takes place. The spark plug ignites the gasoline-air mixture, and the burning fuel adds heat to the system at a constant volume. The heated mixture expands adiabatically and gets further cooled by exhausting heat, and this cyclic...
2.9K
Heat Engines01:10

Heat Engines

3.3K
A heat engine is a device used to extract heat from a source and then convert it into mechanical work used for various applications. For example, a steam engine on an old-style train can produce the work needed for driving the train.
Whenever we consider heat engines (and associated devices such as refrigerators and heat pumps), we do not use the standard sign convention for heat and work. For convenience, we assume that the symbols Qh, Qc, and W represent only the amounts of heat transferred...
3.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Power-Optimal Control of a Stirling Engine's Frictional Piston Motion.

Entropy (Basel, Switzerland)·2022
Same author

Cooling Cycle Optimization for a Vuilleumier Refrigerator.

Entropy (Basel, Switzerland)·2021
Same author

Endoreversible Modeling of a Hydraulic Recuperation System.

Entropy (Basel, Switzerland)·2020
Same author

Optimized Piston Motion for an Alpha-Type Stirling Engine.

Entropy (Basel, Switzerland)·2020
Same author

Modeling, Simulation, and Reconstruction of 2-Reservoir Heat-to-Power Processes in Finite-Time Thermodynamics.

Entropy (Basel, Switzerland)·2020
Same author

Between Waves and Diffusion: Paradoxical Entropy Production in an Exceptional Regime.

Entropy (Basel, Switzerland)·2020

Related Experiment Video

Updated: Nov 27, 2025

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

7.8K

Performance Features of a Stationary Stochastic Novikov Engine.

Karsten Schwalbe1, Karl Heinz Hoffmann1

  • 1Institut für Physik, Technische Universität Chemnitz, 09107 Chemnitz, Germany.

Entropy (Basel, Switzerland)
|December 3, 2020
PubMed
Summary

This study presents a Novikov engine model with fluctuating temperatures. Performance measures like power and efficiency increase with distribution parameters, with Pareto distribution showing unique behavior at higher deviations.

Keywords:
Novikov engineendoreversible thermodynamicsfinite time thermodynamicsheat transportstochastic Novikov enginetemperature fluctuations

More Related Videos

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure
07:58

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure

Published on: January 18, 2021

6.3K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.8K

Related Experiment Videos

Last Updated: Nov 27, 2025

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

7.8K
Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure
07:58

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure

Published on: January 18, 2021

6.3K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.8K

Area of Science:

  • Thermodynamics
  • Statistical Mechanics
  • Non-equilibrium Systems

Background:

  • Novikov engines are theoretical models for heat engines.
  • Fluctuating heat bath temperatures introduce non-equilibrium dynamics.
  • Understanding performance under stochastic conditions is crucial for energy conversion.

Purpose of the Study:

  • To investigate the performance of a Novikov engine with a fluctuating hot heat bath temperature.
  • To analyze how different stationary distributions affect key performance metrics.
  • To extend the Curzon-Ahlborn efficiency to a stochastic engine context.

Main Methods:

  • Modeling a Novikov engine with a fluctuating hot heat bath.
  • Analyzing performance measures: maximum expected power, efficiency, and entropy production rate.
  • Investigating four stationary distributions: uniform, normal, triangle, quadratic, and Pareto.
  • Utilizing Taylor expansions to explain observed behaviors.

Main Results:

  • Performance measures increase monotonically with the expectation value and standard deviation of distributions.
  • Distribution type has minimal impact on performance for small standard deviations.
  • Pareto distribution yields significantly different performance measures at large standard deviations.
  • An extension of the Curzon-Ahlborn efficiency for stochastic Novikov engines was derived for symmetric distributions.

Conclusions:

  • The performance of a stochastic Novikov engine is sensitive to the statistical properties of the heat bath temperature fluctuations.
  • The Pareto distribution represents a distinct case influencing engine performance.
  • The study provides insights into the thermodynamics of non-equilibrium systems and stochastic heat engines.