Project Info
COMPLETE
Project Title
Field Demonstration of Electric Clothes Dryer Controller
Project Number ET24SWE0023 Organization SWE (Statewide Electric ETP) End-use Plug Loads and Appliances Sector Residential Project Year(s) 2024 - 2025Project Results
Residential electric clothes dryers account for approximately 6 percent of household electricity use in the U.S., yet their efficiency has remained largely unchanged for decades. Over-drying is a common issue, even with automatic termination features, resulting in unnecessary energy consumption and greenhouse gas emissions. Improving dryer efficiency is critical to California’s SB 100 decarbonization goals and offers a cost-effective pathway to reduce residential energy demand. This study evaluates an add-on controller designed to terminate drying based on exhaust air temperature and humidity, aiming to reduce energy waste. The objectives were to quantify real-world energy savings, assess user satisfaction, and identify adoption barriers for this emerging technology. The controller was installed in ten homes across California’s Climate Zone 12, including disadvantaged communities. Energy consumption and cycle duration were monitored for three months before and after installation using IPMVP Option A protocols, supplemented by customer surveys for user feedback. Data analysis compared baseline and post-installation performance. The controller achieved an average 19.4 percent reduction in energy per drying cycle and 15.8 percent shorter drying cycle times, translating to annual savings of 133 to 220 kWh per household and 53 to 88 kg CO₂e emissions reduction. Customer satisfaction was high, with 100 percent reporting adequate dryness and 78 percent noticing shorter cycles. Simple payback ranged from 4.0 to 6.6 years, depending on usage. Field results confirm that add-on dryer controllers can significantly reduce energy use and support statewide decarbonization goals. Broader adoption through utility incentive programs, particularly in disadvantaged communities, could deliver substantial cumulative savings. Future work should focus on algorithm optimization, expanded testing, and design improvements for plug-and-play installation.
Project Report Document
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