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Enregistrement W3045512079

Biofuels and Bioenergy 2018 - Canadian bioenergy landscape: Key drivers and future potential

2019· article· en· W3045512079 sur OpenAlexaboutno aff
Ataullah Khan Mohammed

Notice bibliographique

RevueArchives in Chemical Research · 2019
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueBioenergy crop production and management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBiofuelBioenergyNatural resource economicsRenewable energyRenewable fuelsAgricultural economicsEnergy sourceFossil fuelBiomass (ecology)Environmental scienceEngineeringAgroforestryWaste managementBusinessEconomicsEcology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Biofuel is a fuel that is created through contemporary organic procedures, for example, farming and anaerobic assimilation, as opposed to a fuel delivered by land procedures, for example, those engaged with the development of non-renewable energy sources, for example, coal and oil, from ancient natural issue. Biofuels can be gotten straightforwardly from plants, or in a roundabout way from farming, business, local, or potentially modern squanders. Inexhaustible biofuels by and large include contemporary carbon obsession, for example, those that happen in plants or microalgae through the procedure of photosynthesis. Bioenergy is sustainable power source made accessible from materials got from organic sources. Biomass is any natural material which has put away daylight as synthetic vitality. As a fuel, it might incorporate wood, wood squander, straw, excrement, sugarcane, and numerous other results from an assortment of rural procedures. Worldwide vitality request developed by 2.9% and carbon emanations developed by 2.0% in 2018, quicker than whenever since 2010-11.Petroleum gas utilization and creation was up over 5%, probably the most grounded pace of development for both interest and yield for more than 30 years. Renewables developed by 14.5%, approaching their record-breaking increment in 2017, however this despite everything represented uniquely around 33% of the expansion in all out force age. Coal utilization (+1.4%) and creation (+4.3%) expanded for the second year straight in 2018, after three years of decrease (2014-16). The United States recorded the biggest ever yearly creation increments by any nation for both oil and gaseous petrol, by far most of expands originating from inland shale plays. Canada is endowed with abundant natural resources and thecuountry has among the world’s most productive agriculture and forestry sectors. Despite its abundance, biomass is not being utilized to its full potential due to lack of supply chain logisticsand low fossil fuel prices. The Biomass Quality Network Canada (BQNC) was established in 2016 through funding from Agriculture Agri-Food Canada (AAFC) to support the advancement of the Canadian bio-products industry in four main sectors: Biochemicals, Bioenergy, Biofuels and Biomaterials. BQNC supports the Canada’s bio-products industry by enabling the selection, creation, adoption and maintenance of a central database of internationally recognized quality control and assurance standards in coordination with other national and international standards organizations. Bioenergy has been part f the Canadian energy scene for more than 25 years, ranging from heat and power cogeneration, wood pellets, to liquid biofuels. The recent federal and provincial government directives on fossil carbon emission reduction are likely going to be the key drivers for the development of bioenergy markets in Canada. The talk will highlight the key findings of the BQNC bioenergy sector sub-committee pertaining to biomass resource availability and bioenergy potential with the aim of bridging the gap between supply chain, fuel (quality) and equipment suitability with a focus on central western Canada. Suitable recommendation on quality grading of common Canadian agricultural residues vis-a-vis ISO/ TC238 classification will also be presented Biography: Dr. Khan is the lead scientist for the Thermo Chemical Processing group at InnoTech Alberta and also an Adjunct Professor in the Process Systems Engineering, University of Regina. He is also the sector lead for bioenergy initiative at the BQNC (Biomass Quality Network Canada) and a technical ommittee member on Canadian Mirror Committee to ISO/TC 238:Solid Biofuels. At InnoTech Alberta, his research is focused on biomass thermochemical &thermocatalytic conversion pathways to bioenergy, biofuel, bio-chemical or bio-materials. He is a recipient of 2012 Paragon Award for Innovation for the development of innovative catalysts for feed- and process- flexible hydrogen production. He has 3 patents, 1 book chapter, 2 reviews and 30 research articles to his credit. He also served as a Guest Editor for Special Issue on “Metal Oxides in Catalysis” in Molecular Catalysis Journal, Elsevier, 2018

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,877
Score d'incertitude au seuil0,990

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,014
Tête enseignante GPT0,239
Écart entre enseignants0,225 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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