Optimization models for HVAC and R applications in IDAES/Pyomo
This repository for created by Prof. Alexander Dowling at the University of Notre Dame. This work is part of the NSF ERC Environmentally Applied Refrigerant Technology Hub (EARTH).
This repository is an "alpha" version; please use the code with caution.
simple_refridgeration.ipynb
- Initial implementation for R134a
- PH state variables
- Initializes but does not solve... small infeasibility issue
simple_refridgeration2.ipynb
- Switching from PH to PTx state variables
- Got it to work!
simple_refridgeration3.ipynb
- Refactored to use
vapor_compression.py - Determined the complementary-like constraints was causing convergence issues (multipliers cycling)
- Improved initialization
- Implemented PH state variables
- Determined sensitivity analysis did not work because evaporator temperature was too low
- Determined subcooling/supercooling is important to make the sensitivity analysis reliable
simple_refridgeration4.ipynb
- Moved analysis into a single function
- Repeating the analysis for several refrigerants
- Still need to debug a few refrigerants
Enhancement Ideas:
- Use CoolProp to simulate the ideal cycle. May need to iterate a few times to converge with subcooling/superheating.
- Determine why this fails for a few refrigerants
- Experiment with using CoolProp instead of IDAES for initialization