Tailpipe Emissions Comparison Between Propane and Natural Gas Forklifts
Bibliographic record
Abstract
It is commonly stated that natural gas-fueled forklifts produce less emissions than propane-fueled forklifts. However, there is relatively little proof. This paper reports on a detailed comparative study at one plant in Edmonton, Canada where a fleet of forklift trucks is used for indoor material movement. (For convenience, the acronym NGV, ie. Natural Gas Vehicle is used to designate natural gas-fueled and LPG, ie. Liquified Petroleum Gas, is used to designate propane-fueled forklifts). Until recently the forklift trucks (of various ages) were LPG carburetted units with two-way catalytic converters. Prompted partially by worker health concerns, the forklifts were converted to fuel injected, closed-loop controlled NGV systems with three-way catalytic converters. The NGV-converted forklifts reduced emissions by 77% (NOX) and 76% (CO) when compared to just-tuned LPG forklifts. After a period of operation, LPG forklifts drifted out of tune while the NGV-converted forklifts maintained similarly low emission levels. In this condition, the NGV-converted forklifts produced lower emissions by 97% (CO) and 84% (NOX). Forklifts with older LPG fuel systems tended to drift out of tune faster and produced much higher emissions than the newest ones. With conversion to new NGV fuel injection systems, the emissions of both old and new forklifts were reduced to essentially the same low levels. Tests also simulated maintenance failures on the NGV fuel systems. In event of a complete catalyst failure, the NGV systems provided substantially lower emissions than the LPG systems because their engine-out emissions were lower, (57% less CO and 27% less NOX). Also, the Three-way catalysts had a much higher effectiveness with the NGV fuel system than when installed on the carbureted propane systems. An exhaust gas oxygen sensor failure put the NGV fuel systems into open-loop mode but their emissions were still lower than normal operation on LPG, (92% less CO and 73% less NOX). An engine coolant temperature sensor failure only slightly degraded the emissions of the NGV fuel systems.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".