LOW SULFUR HOME HEATING OIL DEMONSTRATION PROJECT SUMMARY REPORT.
Notice bibliographique
Résumé
This project was funded by NYSERDA and has clearly demonstrated many advantages of using low sulfur content heating oil to provide thermal comfort in homes. Prior laboratory research in the United States and Canada had indicated a number of potential benefits of using lower sulfur (0.05%) heating oil. However, this prior research has not resulted in the widespread use of low sulfur fuel oil in the marketplace. The research project described in this report was conducted with the assistance of a well-established fuel oil marketer in New York State (NYS) and has provided clear proof of the many real-world advantages of marketing and using low sulfur content No. 2 fuel oil. The very positive experience of the participating marketer over the past three years has already helped to establish low sulfur heating oil as a viable option for many other fuel marketers. In large part, based on the initial findings of this project and the experience of the participating NYS oilheat marketer, the National Oilheat Research Alliance (NORA) has already fully supported a resolution calling for the voluntary use of low sulfur (0.05 percent) home heating oil nationwide. The NORA resolution has the goal of converting eighty percent of all oil-heated homes to the lower sulfur fuel (0.05 percent by weight) by the year 2007. The Oilheat Manufacturers Association (OMA) has also passed a resolution fully supporting the use of lower sulfur home heating oil in the equipment they manufacture. These are important endorsements by prominent national oil heat associations. Using lower sulfur heating oil substantially lowers boiler and furnace fouling rates. Laboratory studies had indicated an almost linear relationship between sulfur content in the oil and fouling rates. The completed NYSERDA project has verified past laboratory studies in over 1,000 occupied residential homes over the course of three heating seasons. In fact, the reduction in fouling rates so clearly demonstrated by this project is almost the same as predicted by past laboratory studies. Fouling deposition rates are reduced by a factor of two to three by using lower sulfur oil. This translates to a potential for substantial service cost savings by extending the interval between labor-intensive cleanings of the internal surfaces of the heating systems in these homes. In addition, the time required for annual service calls can be lowered, reducing service costs and customer inconvenience. The analyses conducted as part of this field demonstration project indicates that service costs can be reduced by up to $200 million a year nationwide by using lower sulfur oil and extending vacuum cleaning intervals depending on the labor costs and existing cleaning intervals. The ratio of cost savings to added fuel costs is economically attractive based on past fuel price differentials for the lower sulfur product. The ratio of cost savings to added costs vary widely as a function of hourly service rates and the additional cost for lower sulfur oil. For typical values, the expected benefit is a factor of two to four higher than the added fuel cost. This means that for every dollar spent on higher fuel cost, two to four dollars can be saved by lowered vacuum cleaning costs when the cleaning intervals are extended. Information contained in this report can be used by individual oil marketers to estimate the benefit to cost ratio for their specific applications. Sulfur oxide and nitrogen oxide air emissions are reduced substantially by using lower sulfur fuel oil in homes. Sulfur oxides emissions are lowered by 75 percent by switching from fuel 0.20 percent to 0.05 percent sulfur oil. This is a reduction of 63,000 tons a year nationwide. In New York State, sulfur oxide emissions are reduced by 13,000 tons a year. This translates to a total value of $12 million a year in Sulfur Oxide Emission Reduction Credits for an emission credit cost of $195 a ton. While this ''environmental cost'' dollar savings is smaller than the potential service costs reduction, it is very significant. It represents an important reduction in air pollutants that contribute directly to acid rain and other adverse impacts in the United States. When all air emissions are included, low sulfur content home heating oil and utility gas are virtually equal in their environmental impacts.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,078 | 0,023 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».