What Really Drives Energy Efficiency in Plant Factories?
Source: Bu et al., 2024, Energy Conversion and Management
U-value, COP, and LED efficacy — a random forest analysis reveals the three factors that explain most of the variation in plant factory energy consumption.
Abstract
This paper identifies the three most critical factors affecting plant factory energy efficiency through machine learning analysis. The random forest model explains over 85% of energy variation using only three inputs.
Key Findings
1. Building U-Value (Heat Transfer Coefficient)
The thermal insulation performance of the growing environment is the single most important factor. Better insulation dramatically reduces HVAC load.
2. COP (Coefficient of Performance)
Heat pump efficiency directly determines how much energy is required for heating and cooling. A 1-unit improvement in COP can reduce energy use by 15-20%.
3. LED Efficacy
Light source efficiency (μmol/J) determines how much electricity is needed for photosynthesis. High-efficacy LEDs reduce lighting energy by up to 40%.
Implications
A well-designed plant factory optimizing all three factors can achieve ~50% energy reduction compared to a baseline facility.
Source
Bu, et al. (2024). Energy-saving factors in plant factories: A random forest analysis. Energy Conversion and Management, 305, 118-129.