Market Transformation for Clothes Dryers: Lessons Learned from the European Experience
Bibliographic record
Abstract
The European residential clothes dryer market is undergoing a transformation driven by highly efficient heat pump dryer technology. In 2012, over 80 residential heat pump dryer models from 18 different manufacturers were available on the European market 1 . Additionally, Switzerland implemented a new minimum energy performance standard (MEPS) that effectively allowed only heat pump dryers to be sold in that country. The Super Efficient Dryer Initiative (SEDI) was formed in the US to support improvements in dryer energy efficiency based on the European experience and to bring together utility energy efficiency programme providers, dryer manufactures, government agencies and other stakeholders to repeat the European success in the US and Canada. Heat pump dryers have substantial energy saving potential in North America. Recent testing indicates that European heat pump dryers are 50-60% more energy efficient than existing North American conventional electric dryers 2 . In 2012, SEDI supported the US Environmental Protection Agency (EPA) decision to offer an ENERGY STAR Emerging Technology Award (ETA) for efficient dryers. The ETA for Advanced Clothes Dryers is designed to support the introduction of efficient technology through recognition and promotion 3 . Several manufacturers are now ready to introduce a significantly more energy efficient clothes dryer into the North American market, and the announcement of an ETA recipient is expected soon. This paper describes the actions dryer stakeholders have taken on both sides of the Atlantic to promote efficiency and identifies lessons from the European market transformation experience that can be applied in North America.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".