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Enregistrement W7071479436

The state of the Latvian wood pellet industry : a study on production conditions and international competitiveness

2014· other· en· W7071479436 sur OpenAlex

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Notice bibliographique

RevueEpsilon Archive for Student Projects (University of Southampton) · 2014
Typeother
Langueen
DomaineComputer Science
ThématiqueQR Code Applications and Technologies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLatvianPelletPelletsRaw materialBiomass (ecology)Production (economics)BioenergyTorrefactionResource (disambiguation)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In the last decade, member states of the European Union have adopted a range of measures to decrease the dependency on fossil fuels. This has led to an increased use of biomass in heat and power production. In some countries, the lack of forest resource has led to large scale power producers importing their biomass needs. Due to high energy content and homogeneity, wood pellets have become an internationally traded commodity used for large scale power production. 
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\nThe Baltic States have emerged as one of the largest wood pellet exporting regions in Europe. This study focused on the case of Latvia, the country with the largest wood pellet production in the region. The purpose was to investigate the production conditions and the competitiveness of the Latvian wood pellet industry. The study was limited to industrial wood pellets for large scale utilities. Three import countries; Belgium, the Netherlands and the UK were identified as large industrial pellet importers for further research. Coal was seen as the major competing alternative energy source on these markets.
\n
\nThe global wood pellet industry, the wood pellet value chain and Latvian conditions for pellet production was first researched through a literature study. Coupled with theories on competition, it formed the framework for the empiric data gathering through qualitative semi-structured interviews with actors in the Latvian wood pellet industry. 
\n
\nThe study revealed that raw material costs were a weakness for the pellet industry. Pellets contracts were made for 1-3 years and there was no way to hedge against increases in raw material. The result further suggests that the current size of the Latvian wood pellet industry might not be sustainable, based on future raw material availability and increased raw material competition. Changes in freight rates could also affect the competitiveness of Latvian pellet producers as the currently low rates are thought to increase. However, the industry is doing well at the moment experiencing a steady demand and good FOB (free on board) prices at the ports of export. 
\n
\nCalculations showed that wood pellet mills under Latvian conditions had a total cost of 103-110 €/tonne FOB Riga and 117-124 €/tonne CIF ARA (cost, insurance and freight to Antwerp-Rotterdam-Amsterdam), which suggests they could compete based on the average spot price of 125 €/tonne CIF ARA. Calculations also revealed that the cost of producing and transporting Latvian pellets was competitive with the coal price under the current market situations and the existing support schemes for biomass in biomass dedicated energy producing utilities. The result further showed that Latvian pellet producers were able to compete at profit against the coal price in co-firing utilities in Belgium and the UK. However, the power plants profitability of co-firing wood pellets was proportional to the share of biomass used.
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\nLatvian pellet producers had an advantage on Scandinavian markets, large storage abilities to handle demand fluctuations and some had the possibility to switch between residential and industrial pellets. The geographical location coupled with their storage options also resulted in a possible niche towards the large scale industrial consumers in flexibility and delivery speed. However, the energy producers on the selected markets required large volumes of wood pellets and had infrastructure capable of handling the large North American bulk shipments of 40.000 tonnes. Based on the scale of operations and price, the pellet producers in the US and Canada will probably continue to be the main suppliers for the large scale consumers on these markets. 
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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.

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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,438
Score d'incertitude au seuil0,434

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 ouverte0,0010,001
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 Opus0,018
Tête enseignante GPT0,257
Écart entre enseignants0,239 · 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