Welcome to CoolProp Discussions! #2206
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Enabling discussions feature on this github repository, as requested on the Google Group: |
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I'm Charles. I'm a biomedical engineering professor at MSOE University in Milwaukee, Wisconsin, USA. I'm responsible for and often teach our bio-thermal-fluids courses (this was a two-quarter sequence, but our university switching to semesters after this year after which it will be a single course). We use CoolProp for fluid properties (mostly just water/steam/moist air). We've traditionally used Matlab as our programming language but will be switching to Python with our switch to semesters. |
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I'm Ian Bell, self-appointed benevolent dictator for life (BDFL) of CoolProp. I started the work on CoolProp when I was a graduate student at Purdue University. I continued the development while a post-doc at the University of Liege during which time CoolProp really reached full maturity. The quantum leap from version 4 to version 5 in the change of the core architecture could not have happened without the hard work of @jowr. Since my time in Belgium I work at the National Institute of Standards and Technology, in the team that develops REFPROP. I don't work on CoolProp anymore on a day-to-day basis, but others from the community are starting to really step up, and more of that is needed for CoolProp to continue to thrive. |
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I'm Jeff, a Chemical Engineer and thermodynamics hobbyist (outside of my "real" job). I got involved with CoolProp in 2016 and revived the ailing wrapper for legacy Mathcad (restored in v6.0) and now Mathcad Prime as well as some maintenance on other wrappers, CoolProp's GitHub documentation (and Wiki for noob GitHub users like me), and issue/PR templates. Along the way, I fleshed out more of the IAPWS-IF97 backend (CoolProp/IF97) to CoolProp (which @ibell started) for more rapid water properties calculations and the ability to write IF97-only wrappers for power industry users who only really need to do fast calculations with water with a reduced memory footprint (vice the CoolProp interface). It's been a great journey and I've learned a LOT from this community, especially @ibell . I'm grateful for the opportunity to contribute. |
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I'm Matthis, I studied mechanical engineering in Hamburg, Germany, then did a PhD on heat exchangers for geothermal power plants at the German national lab for geosciences in Potsdam/Berlin, 2009-2014. As part of that work, I implemented a fluid properties library in Modelica, roughly at the same time as Ian implemented CoolProp. If CoolProp had existed back then, I would probably have used that instead. I never contributed any C++ code to CoolProp, but I did and do enjoy participating in some discussions, especially related to dynamic simulation and partial derivatives. After the PhD I worked for some years in building energy performance simulations (@ibpsa) at the university (@UdK-VPT), and since 2018 I work at Modelon (@modelon) as a simulation engineer, developing Modelica (@modelica) libraries for simulation and research of thermodynamic cycles like heat pumps, refrigerators, air-conditioning, energy storage, etc. With a full time job and three kids, there is not much free time left to contribute to open-source libraries anymore :-( |
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I'm an adjunct thermal sciences faculty member at U of Arkansas. How hard would it be to create a stand-alone workbook, vs an add-in, with the CoolProp thermo property functions in VBA modules? In a thermo or thermal modeling class, students often do work at home and then continue in a computer lab on campus. To do so, the add-in must be installed on the machines in the computer lab, something our IT person is reluctant to do. A few years ago in a NSF project at another university, Excel thermo property functions for water and R134a were made available as an add-in. In that case, I was able to do the conversion to a stand-alone workbook. Is that possible for CoolProp? |
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Greetings! I'm Gustavo, a PhD student of Petroleum Engineering at University of Tulsa. I'm from Brazil and there I did my undergrad and masters in Chemical Engineer. Last year I worked as a scientific developer developing models for CO2 two-phase flow to be implemented in a 1D transient flow software, then I used CoolProp (python wrapper) to study pure CO2 properties and cross-validate my implementations of thermodynamic derivatives. I'm really willing to contribute to the CoolProp community through discussions and code implementations (I know both Python and C++). I already implemented cubic EOSs and flash routines for mixtures, and soon I will start to implement a library to calculate black-oil properties. Do you need any help with coding? I tried to start the project but I got lost with so many flags in the CMakeLists file 😄 |
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Hey, my name is Daniel Walsh. I studied physics at UC Santa Barbara, and then continued my studies as a PhD student in theoretical plasma physics at UC San Diego. My PhD work involves the frequencies of waves in strongly magnetized, non-neutral plasmas, and in particular their dependence on temperature and finite length. After graduating, I put my thermal and computational skills to work, and started a company with a few of my UCSB friends where we use thermodynamics to create physically-informed control systems to efficiently and scalably operate industrial cold storage facilities (industrial-scale food and beverage processing and storage). It's a bit of a mouthful, but that's a small price to pay for doing something that has a tangible positive impact on our world by reducing greenhouse gasses, easing load on the electrical grid, and improving the robustness of the food chain -- all while saving our customers money. In my time away from work, I enjoy walking around cozy downtown Santa Barbara streets, creating YouTube video content to visually explain mathematics and physics, and raising monarch butterflies. |
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Hi, I'm David Contreras, a mechanical design engineer from Monterrey, Mexico. I have a background in Mechanical Engineering and a Master's in Manufacturing Systems, both from ITESM. During my studies, I had access to powerful engineering and thermodynamics software, which I missed after graduating. That's why I discovered CoolProp for its thermodynamics capabilities. I started learning Python specifically to leverage CoolProp, and now I use it for experimental heat exchanger calculations at Güntner. Beyond work, I'm passionate about CoolProp's pyodide implementation and building projects with its JavaScript wrapper. I'm also exploring ways to integrate it with online spreadsheets, although my programming skills are still developing, so my contributions are occasional. My primary motivation is to make numerical computing more accessible to engineers. I believe this will bridge the gap between theoretical science and practical engineering, ultimately leading to more efficient real-world machines. |
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Hello, I'm Dave Cooper, a mechanical engineer with UAB. I was an adjunct teaching thermal fluid systems for a while. Now, still with UAB I work on a team developing -80 freezers for the I.S.S. I made a silly little thermo property calculator (https://daveisthebest.com/ThermoPropertyCalculator/) using coolprop and was toying with the idea of expanding it to have similar capabilities as fchartsoftware's EES program. |
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Hey, I'm Stephen Young and I am a PhD student that is part of a group at Laurentian University in Sudbury, Ontario, Canada researching methods to reduce the energy demands of the Mining industry with a particular focus on compressed air production. Undergraduate training is in Mining Engineering but my graduate training has been more in the Chemical/Mechanical/Process engineering space (undergraduate, Masters and PhD all at Laurentian). CoolProp is a great tool that helped me a lot with my Masters research developing a 1-D hydrodynamic model for bubbly flows. I've mainly programmed in MATLAB but I do have some basic knowledge of Python, VBA and others. |
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