Dataset for greenhouse gas modelling in diesel dependent communities transitioning to bioenergy
The data presented here are from the research article entitled "Greenhouse gas mitigation potential of replacing diesel fuel with wood-based bioenergy in an arctic Indigenous community: A pilot study in Fort McPherson, Canada". Based on a pilot study realized in Northern Canada and life cy...
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ftzenodo:oai:zenodo.org:6618086 2024-09-15T18:06:56+00:00 Dataset for greenhouse gas modelling in diesel dependent communities transitioning to bioenergy Buss, Jennifer Mansuy, Nicolas Laganière, Jérôme 2022-06-06 https://doi.org/10.5281/zenodo.6618086 unknown Zenodo https://doi.org/10.1016/j.biombioe.2022.106367 https://doi.org/10.5061/dryad.79cnp5hxw https://zenodo.org/communities/dryad https://doi.org/10.5281/zenodo.6618085 https://doi.org/10.5281/zenodo.6618086 oai:zenodo.org:6618086 info:eu-repo/semantics/openAccess MIT License https://opensource.org/licenses/MIT Bioenergy life cycle assessment greenhouse gas mitigation boreal forest Canada chips pellets forest carbon info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.661808610.1016/j.biombioe.2022.10636710.5061/dryad.79cnp5hxw10.5281/zenodo.6618085 2024-07-25T21:28:25Z The data presented here are from the research article entitled "Greenhouse gas mitigation potential of replacing diesel fuel with wood-based bioenergy in an arctic Indigenous community: A pilot study in Fort McPherson, Canada". Based on a pilot study realized in Northern Canada and life cycle assessment, we provide a set of key parameters and operational data gathered along the biomass supply chain to build a GHG mitigation scenario and compute the quantity and timing of GHG savings in the off-grid community of Fort McPherson, NWT. Given that GHG mitigation scenarios are often assessed against a relative fossil-fuel reference scenario, we are providing two categories of data; 1) data for the reference fossil fuel scenario and; 2) data along the upstream operations of biomass supply chains. Both categories contain data related to the operational processes as well as forest growth or decomposition of unused feedstock. Although the data presented are mostly derived from the boreal forest, they could help guide other communities beyond the boreal to develop a renewable bioenergy system and assess their GHG mitigation options. Bioenergy_Modelling_Dataset This file contains GHG emissions factors, forest growth parameters, and biomass decomposition parameters used in the greenhouse gas (GHG) modelling performed in Buss et al. 2022. A metadata tab in the file describes all parameters included in the data file, their sources, as well as the naming convention for scenarios. The data file includes a total of 72 scenarios. Life_Cycle_Analysis_(LCA) _Script This file contains the R code for the GHG model. The code guides users through a seven-step life cycle analyses designed to aid in the development of biomass and reference fossil fuel scenarios, and calculate the quantity and timing of GHG benefits. It also includes a description of model parameters and outputs. Model_Output_Summary_Table This file contains a summary of a small subset of model outputs for all 72 scenarios included in the Bioenergy_Modelling_Data file. ... Other/Unknown Material Fort McPherson Zenodo |
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Bioenergy life cycle assessment greenhouse gas mitigation boreal forest Canada chips pellets forest carbon |
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Bioenergy life cycle assessment greenhouse gas mitigation boreal forest Canada chips pellets forest carbon Buss, Jennifer Mansuy, Nicolas Laganière, Jérôme Dataset for greenhouse gas modelling in diesel dependent communities transitioning to bioenergy |
topic_facet |
Bioenergy life cycle assessment greenhouse gas mitigation boreal forest Canada chips pellets forest carbon |
description |
The data presented here are from the research article entitled "Greenhouse gas mitigation potential of replacing diesel fuel with wood-based bioenergy in an arctic Indigenous community: A pilot study in Fort McPherson, Canada". Based on a pilot study realized in Northern Canada and life cycle assessment, we provide a set of key parameters and operational data gathered along the biomass supply chain to build a GHG mitigation scenario and compute the quantity and timing of GHG savings in the off-grid community of Fort McPherson, NWT. Given that GHG mitigation scenarios are often assessed against a relative fossil-fuel reference scenario, we are providing two categories of data; 1) data for the reference fossil fuel scenario and; 2) data along the upstream operations of biomass supply chains. Both categories contain data related to the operational processes as well as forest growth or decomposition of unused feedstock. Although the data presented are mostly derived from the boreal forest, they could help guide other communities beyond the boreal to develop a renewable bioenergy system and assess their GHG mitigation options. Bioenergy_Modelling_Dataset This file contains GHG emissions factors, forest growth parameters, and biomass decomposition parameters used in the greenhouse gas (GHG) modelling performed in Buss et al. 2022. A metadata tab in the file describes all parameters included in the data file, their sources, as well as the naming convention for scenarios. The data file includes a total of 72 scenarios. Life_Cycle_Analysis_(LCA) _Script This file contains the R code for the GHG model. The code guides users through a seven-step life cycle analyses designed to aid in the development of biomass and reference fossil fuel scenarios, and calculate the quantity and timing of GHG benefits. It also includes a description of model parameters and outputs. Model_Output_Summary_Table This file contains a summary of a small subset of model outputs for all 72 scenarios included in the Bioenergy_Modelling_Data file. ... |
format |
Other/Unknown Material |
author |
Buss, Jennifer Mansuy, Nicolas Laganière, Jérôme |
author_facet |
Buss, Jennifer Mansuy, Nicolas Laganière, Jérôme |
author_sort |
Buss, Jennifer |
title |
Dataset for greenhouse gas modelling in diesel dependent communities transitioning to bioenergy |
title_short |
Dataset for greenhouse gas modelling in diesel dependent communities transitioning to bioenergy |
title_full |
Dataset for greenhouse gas modelling in diesel dependent communities transitioning to bioenergy |
title_fullStr |
Dataset for greenhouse gas modelling in diesel dependent communities transitioning to bioenergy |
title_full_unstemmed |
Dataset for greenhouse gas modelling in diesel dependent communities transitioning to bioenergy |
title_sort |
dataset for greenhouse gas modelling in diesel dependent communities transitioning to bioenergy |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://doi.org/10.5281/zenodo.6618086 |
genre |
Fort McPherson |
genre_facet |
Fort McPherson |
op_relation |
https://doi.org/10.1016/j.biombioe.2022.106367 https://doi.org/10.5061/dryad.79cnp5hxw https://zenodo.org/communities/dryad https://doi.org/10.5281/zenodo.6618085 https://doi.org/10.5281/zenodo.6618086 oai:zenodo.org:6618086 |
op_rights |
info:eu-repo/semantics/openAccess MIT License https://opensource.org/licenses/MIT |
op_doi |
https://doi.org/10.5281/zenodo.661808610.1016/j.biombioe.2022.10636710.5061/dryad.79cnp5hxw10.5281/zenodo.6618085 |
_version_ |
1810444293427429376 |