01 — System Modeling & Temperature Bin Analysis
Builds a compressor performance model for a grocery cold storage reciprocating rack system on R-448A and runs a temperature bin analysis using TMY weather data to estimate annual compressor energy savings from floating head pressure control under two retrofit tiers.
refrigeration floating-head-pressure bin-analysis energy-savings
Pythonnumpypandasmatplotlibscipy
Key Findings
- ● Tier 1 (TEV-constrained float, floor 27°C) reduces annual compressor energy by approximately 15-20%
- ● Tier 2 (EEV retrofit, floor 18°C) reduces annual compressor energy by approximately 25-35%
- ● Majority of savings accrue in the 3,000+ hours per year when outdoor temperature is below 27°C
- ● Condenser fan energy penalty is 5-10% of gross compressor savings — net benefit is strongly positive
Compressor performance modeling and temperature bin analysis for estimating annual energy savings from floating head pressure control. Uses COP-based compressor power calculations and TMY weather data for southern Ontario to quantify the savings potential under two implementation scenarios: a controls-only retrofit (Tier 1, TEV floor) and a full EEV retrofit (Tier 2, lower floor).