Market Feasibility Of Methane Bio-filtration Technology In Alberta To Control Point Source Low-volume Methane Emissions
Notice bibliographique
Résumé
Methane has a global warming potential that is twenty five times more than carbon dioxide as a greenhouse gas. It is naturally occurring in the atmosphere and also generated from various anthropogenic activities such as industrial, commercial, agricultural and waste processes. According to the ERCB 2012 Upstream Petroleum Industry Flaring and Venting Report, 2011, “The combined volume of flared and vented solution gas increased to 785 million cubic meters (106 m3) (27 856 million cubic feet [MMcf]) in 2011.” A look at these numbers indicates that though these are low-volume point sources, the numbers add up exceptionally. The question therefore is how to control these lower volume point source emissions. There are numerous on-going researches to minimize methane emitted in the atmosphere and mitigate climate change. One of such researches is the testing of bio-filters that convert low volumes of methane into CO2 with the help of bacteria at the University of Calgary. There are on-going pilot projects to aid in the deployment of the technology into industry. The bio-filters are being designed to address point source low volume methane emission of up to 100m3 flow per day. Low volume emissions are the focus of the research as the volumes add up quickly and become quite significant. Higher volumes are easier to manage as they are more economically viable to generate electricity. It is advantageous that the research and testing is taking place in Alberta, as the province has a climate change policy in place to reduce overall emissions. The Climate Change and Emissions Management Corporation (CCEMC) through its Biological Greenhouse Gas Management Program fund such researches to find lasting solutions to reduce greenhouse gases. The Methane Bio-filter Technology is in its early stages with various field-scale pilot projects in place to continually test the technology. The pilot projects have had a high degree of success. This report will explore Methane Bio-filter Technology as an innovative technology with an aim to offset methane emissions from low point sources and thus increase their energy efficiency. It will involve analyzing why and how by offsetting methane from low point sources using Methane Bio-filter Technology makes sense for the industry. This paper will also assess how the bio-filters can be applied in various sectors as well as the market feasibility of introducing the technology into industry. The industry analysis will include a PESTEL, SWOT and Five Forces analysis with Alberta’s industry sector in mind. Furthermore, it incorporates and discusses technological aspects and relevant environmental issues. In addition, economic and regulatory aspects will also be addressed keeping energy as the focal point.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 ».