CO2 emissions from biomass combustion Accounting of CO2 emissions from biomass under the UNFCCC

Pulles, M.P.J.; Gillenwater, Michael; Radunsky, Klaus

doi:10.1080/17583004.2022.2067456

Cited by 17 publications

(9 citation statements)

References 6 publications

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“…The GHG emissions from the combustion of these fuels, except biomass, were modelled using GaBi databases. Carbon dioxide emissions from biomass combustion were excluded because it was assumed that they were balanced by the CO 2 absorbed during photosynthetic growth of the biomass [ 43 ]. Moreover, a previous chicken meat LCA study [ 20 ] found that CO 2 emission from biomass combustion on poultry farms was relatively small.…”

Section: Methodsmentioning

confidence: 99%

Carbon Footprint: The Case of Four Chicken Meat Products Sold on the Spanish Market

Tetteh

Bala²,

Fullana–i–Palmer³

et al. 2022

Foods

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Despite its relatively low environmental impact within the livestock sector, the poultry sector still faces its own environmental challenges that need to be addressed. The present paper uses life cycle assessment to quantify greenhouse gas emissions, from cradle to slaughterhouse gate, of four chicken meat products: whole carcass, wings, breast fillets, and leg quarters. The main contribution of the present study is that it provides a detailed analysis of different chicken meat cuts, testing mass and economic allocation choices and showing that economic allocation better reflects the causality of the cutting process. We recommend that a distinction should be made between whole carcass and meat cuts, as there are significant differences in meat content and climate change results between these two categories. This is not so clear in the literature, nor in the LEAP guideline for the poultry sector. The study was performed by using disaggregated inventory data from Spain, for the first time. Results show that the major contributors to environmental impact are feed production (>70%), electricity use (10.2%), and fossil fuel combustion (8.1%). Packaging did not significantly contribute to the climate change impact of the chicken products evaluated (0.4–3.4% contribution, depending on the type of packaging and product considered).

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Section: Methodsmentioning

confidence: 99%

Carbon Footprint: The Case of Four Chicken Meat Products Sold on the Spanish Market

Tetteh

Bala²,

Fullana–i–Palmer³

et al. 2022

Foods

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“…Thus, our approach differs from the EXIOBASE approach as of version 3.8.2. EXIOBASE compilers apply the energyfirst approach by using IEA World Energy Balances to compile energy use accounts and then combine those energy use data with emission factors from the TEAM model (Stadler et al, 2018;Pulles et al, 2007). Thereafter, CO 2 fossil emissions (until 2019) at an aggregate level are scaled to match EDGAR emissions and all other GHG emissions (until 2017) scaled to match the PRIMAP database (see the "README" files in Stadler et al, 2021).…”

Section: General Information On Ghg Emission Accountsmentioning

confidence: 99%

Estimating the uncertainty of the greenhouse gas emission accounts in global multi-regional input–output analysis

Schulte,

Jakobs,

Pauliuk

2024

Earth Syst. Sci. Data

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Abstract. Global multi-regional input–output (GMRIO) analysis is the standard tool to calculate consumption-based carbon accounts at the macro level. Recent inter-database comparisons have exposed discrepancies in GMRIO-based results, pinpointing greenhouse gas (GHG) emission accounts as the primary source of variation. A few studies have analysed the robustness of GHG emission accounts, using Monte Carlo simulations to understand how uncertainty from raw data propagates to the final GHG emission accounts. However, these studies often make simplistic assumptions about raw data uncertainty and ignore correlations between disaggregated variables. Here, we compile GHG emission accounts for the year 2015 according to the resolution of EXIOBASE V3, covering CO2, CH4 and N2O emissions. We propagate uncertainty from the raw data, i.e. the United Nations Framework Convention on Climate Change (UNFCCC) and EDGAR inventories, to the GHG emission accounts and then further to the GHG footprints. We address both limitations from previous studies. First, instead of making simplistic assumptions, we utilise authoritative raw data uncertainty estimates from the National Inventory Reports (NIRs) submitted to the UNFCCC and a recent study on uncertainty of the EDGAR emission inventory. Second, we account for inherent correlations due to data disaggregation by sampling from a Dirichlet distribution. Our results show a median coefficient of variation (CV) for GHG emission accounts at the country level of 4 % for CO2, 12 % for CH4 and 33 % for N2O. For CO2, smaller economies with significant international aviation or shipping sectors show CVs as high as 94 %, as seen in Malta. At the sector level, uncertainties are higher, with median CVs of 94 % for CO2, 100 % for CH4 and 113 % for N2O. Overall, uncertainty decreases when propagated from GHG emission accounts to GHG footprints, likely due to the cancelling-out effects caused by the distribution of emissions and their uncertainties across global supply chains. Our GHG emission accounts generally align with official EXIOBASE emission accounts and OECD data at the country level, though discrepancies at the sectoral level give cause for further examination. We provide our GHG emission accounts with associated uncertainties and correlations at https://doi.org/10.5281/zenodo.10041196 (Schulte et al., 2023) to complement the official EXIOBASE emission accounts for users interested in estimating the uncertainties of their results.

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“…Overall, fossil energy combustion is a major source of carbon emissions (Rana et al, 2021). Thus, it is essential to measure the volume of carbon contained in anthropogenic fossil energy sources to estimate carbon emissions from the consumption side (Hao et al, 2021;Pulles et al, 2022). The 2006 IPCC Guidelines cover the major sources of anthropogenic carbon emissions and adequately address the cross and overlap between sectors, giving calculation and reporting methods that address cross-sectoral cross and overlap to avoid double counting and undercounting.…”

Section: Variables Definition Dependent Variablementioning

confidence: 99%

The nexus between digital finance and carbon emissions: Evidence from China

Cai

Song

2022

Front. Psychol.

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Finance is significant support for the low-carbon transformation of the real economy, in which digital finance as a new direction of financial development exerts a significant influence on carbon emissions. Therefore, it is crucial to investigate the association between digital finance and carbon emissions in order to develop carbon reduction strategies from the financial side. For this purpose, using the sample set covering 30 provincial areas during 2011–2020, this paper investigates the direct, indirect, and non-linear effects of digital finance on carbon emissions by applying fixed effects, mediating effects, and threshold effects analysis techniques. The results indicate that: (1) digital finance can significantly mitigate carbon emissions at the national level. (2) Digital finance inhibits carbon emissions as it drives green technological innovation and industrial structure upgrading. (3) Significant regional heterogeneity is observed in the effect of digital finance on carbon emissions, i.e., the effects of digital finance on carbon emissions are higher in the east-central region than in the overall sample, while the opposite is true in the western region. (4) The dampening effect on carbon emissions steadily increases as digital finance levels cross the first and second thresholds, respectively. Based on the above considerations, policymakers shall not only develop differentiated digital finance initiatives, but shall also fully unleash carbon emission reduction potential by rationalizing and optimizing industrial layout and strengthening financial subsidies for green technology innovation.

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CO₂ emissions from biomass combustion Accounting of CO₂ emissions from biomass under the UNFCCC

Cited by 17 publications

References 6 publications

Carbon Footprint: The Case of Four Chicken Meat Products Sold on the Spanish Market

Carbon Footprint: The Case of Four Chicken Meat Products Sold on the Spanish Market

Estimating the uncertainty of the greenhouse gas emission accounts in global multi-regional input–output analysis

The nexus between digital finance and carbon emissions: Evidence from China

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