Sub-process fossil fuel distribution for heavy industry

Context

To reach net zero by 2050 in heavy industry, it is important to better understand the energy consumption profile and greenhouse gas emissions for each sector. The goal of this work is to provide the sub-process fossil energy consumption for the following heavy industrial sectors: paper manufacturing (NAICS 322), primary production of alumina and aluminum (NAICS 331313), iron and steel mills and ferro-alloy manufacturing (NAICS 331110), lime manufacturing (NAICS 327410), cement manufacturing (NAICS 327310), petroleum refineries (NAICS 324110), iron ore mining (NAICS 212210), gold and silver ore mining (NAICS 212220).

Methodology

The secondary energy and emissions data is mainly collected from the comprehensive energy utilisation database (CEUD) of the Office of Energy Efficiency [1]. The national inventory report of Environment and Climate Change Canada (ECCC) is used to validate the emissions data and offer insights on process emissions, as well as the number of facilities to be considered in our list per NAICS code [2]. The energy future report of the Canada Energy Regulator (CER) is used to view the total energy consumption for industrial sector [3], [4]. The reference year for the data table is 2019. The sub-process energy distribution is done to breakdown the main fossil fuel consumers by equipment type. To obtain the sub-process fossil fuel breakdown, data has been obtained by consulting relevant environment and social governance (ESG) reporting available for different industrial facilities as well as published industrial case studies. Relevant scientific literature for specific industrial processes has been used. Other sector specific associations, international associations or reports done by foreign countries have been consulted. This multisource approach is then verified by process experts at CanmetENERGY in Varennes using sectorial and process-level numerical simulation tools. External consultants and industry representatives have also been consulted to further validate the results.

Dataset

The dataset gives the fossil fuel breakdown for various industrial processes.

Feedback

This version of the work is still preliminary and is being revised continuously. We would very much appreciate your comments and suggestions regarding the dataset. Please send your feedback to: canmetenergy-canmetenergie@nrcan-rncan.gc.ca.

References

[1] Natural Resources Canada, “Industrial Sector – Disaggregated Industries (Canada).” Accessed: Dec. 17, 2024. [Online]. Available: https://oee.rncan-nrcan.gc.ca/corporate/statistics/neud/dpa/menus/trends/comprehensive/trends_id_ca.cfm [2] Government of Canada, “National inventory report: greenhouse gas sources and sinks in Canada.: En81-4E-PDF - Government of Canada Publications - Canada.ca.” Accessed: Dec. 17, 2024. [Online]. Available: https://publications.gc.ca/site/eng/9.506002/publication.html [3] Canada Energy Regulator, “Canada’s Energy Future Data Appendices.” Canada Energy Regulator, 2019. doi: 10.35002/ZJR8-8X75. [4] La Régie de l’énergie du Canada, “ONÉ - Avenir énergétique du Canada en 2019.” Accessed: Feb. 10, 2025. [Online]. Available: https://www.rec-cer.gc.ca/fr/donnees-analyse/avenir-energetique-canada/archive/2019/

Données et ressources

Info additionnelle

Champ Valeur
Dernière modification avril 17, 2026, 20:25 (TU)
Créé le avril 17, 2026, 20:25 (TU)
contact_email milad.aghabararnejad@NRCan-RNCan.gc.ca
contact_person {}
criticality_level ["general_public", "government", "scientists"]
data_dictionary []
geographic_scope ["0"]
open_canada_collection code
open_canada_date_published 2025-08-13 00:00:00
open_canada_keywords {"en": ["Mapping", "Energy", "Canada", "Distribution", "Fossil Fuels", "Industry"], "fr": ["Cartographie", "Énergie", "Canada", "Distribution", "Combustibles fossils", "Industrie"]}
open_canada_subject ["economics_and_industry", "science_and_technology"]
sensitivity_level unrestricted
title_fr Distribution de combustibles fossiles pour les sous-procédés de l’industrie lourde
update_frequency as_needed