Engineers Build Pure TypeScript Engine to Model Next-Gen Refrigerant Thermodynamics

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As global regulations like the AIM Act and Kigali Amendment phase down high-GWP refrigerants, HVAC software engineers face a key mathematical challenge with newer zeotropic blends like R-454B. Unlike legacy refrigerants that evaporate at a single temperature, zeotropic mixtures exhibit a temperature glide of 1.5°F to 8°F, requiring separate bubble point and dew point curves for accurate calculations. Using a single saturation curve for these blends introduces errors of 2°F to 3°F in subcooling and superheat readings, which can lead technicians to incorrectly adjust refrigerant charge. To address this, developers built a zero-dependency thermodynamic engine in pure TypeScript, using polynomial regression equations validated against NIST REFPROP Standard 23 data. The client-side implementation avoids bulky binaries and remote API calls, keeping calculations fast and privacy-friendly.

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