Thermophysical Properties of Working Mediums and Their Application in Thermodynamic Cycles
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 5676
Special Issue Editors
Interests: machine learning; thermophysical property; refrigerants
Interests: computational routines and tools used for the development and application of thermodynamic mixture models
Interests: PVT (pressure–volume–temperature) properties; properties of the triple point; study and development of models for the calculation of thermophysical properties
Interests: process engineering; computer modeling; thermodynamics
Special Issues, Collections and Topics in MDPI journals
Interests: molecular dynamics; computational physics; petroleum engineering; energy; power
Interests: turbulence modeling; fluid mechanics; CFD simulation
Special Issue Information
Dear Colleagues,
This Special Issue of Processes concerns publications of research related to the application of studying thermophysical properties of various working mediums (including but are not limited to fuels, biodiesel, ionic liquids, lubricants, polymer solutions, melts, ferrofluids, molten metals and salts, water solutions, and refrigerants) and relevant applications in thermodynamic cycles. It includes research on the experimental measurement or computational simulation of thermophysical properties. In addition, works investigating the potential of novel working fluids for their use in thermodynamic cycles such as refrigeration cycles, organic Rankine cycle (ORC), etc. are of interest.
Topics include but are not limited to:
(1) Supplementing the thermophysical property data of fluids, especially for mixtures of working mediums. The approaches include both laboratory measurements and computer experiments (from quantum chemistry or from molecular simulations based on forced fields);
(2) Exploring a new highly efficient power cycle layout of low- and medium-temperature heat sources;
(3) Performance evaluation of key components and thermodynamic cycles.
Dr. Yu Liu
Dr. Ian H. Bell
Prof. Dr. Giovanni Di Nicola
Dr. Xiangyang Liu
Dr. Qibin Li
Dr. Piotr Lampart
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- machine learning
- thermophysical property
- fluids
- nanofluids
- artifical neural network
- thermal conductivity
- heat capacity
- fuels
- biodiesel
- water solutions
- refrigerants
- surface tension
- viscosity
- solubility
- density
- PVT property
- critical parameters
- refrigeration cycle
- power cycle