← 論文一覧に戻る

Quantifying Greenhouse Gas Emissions from Woodfuel used in Households

家庭用薪燃料使用による温室効果ガス排出量の定量化 (AI 翻訳)

Alessandro Flammini, Hanif Adzmir, Kevin Karl, Francesco N. Tubiello

プレプリント2022-11-28#炭素会計Origin: Global対象セクター: agriculture
DOI: 10.5194/essd-2022-390
原典: https://doi.org/10.5194/essd-2022-390

🤖 gxceed AI 要約

日本語

家庭での薪燃料燃焼は、再生可能な採取であればカーボンニュートラルとみなされるが、非再生可能な採取分は排出源となる。本研究はUNSDとIEAデータを用い、2019年の家庭用薪燃料由来の非再生可能排出量を約745百万トンCO2eqと推定し、1990年比6%増を示した。地域別ではサブサハラ・南アジア・ラテンアメリカで増加、東アジア・東南アジアで減少した。FAOのAGRIBALYSEデータベースに基づく。

English

This study quantifies GHG emissions from non-renewable woodfuel harvesting for residential use, estimating 745 Mt CO2eq in 2019, a 6% increase from 1990. Regional trends show increases in Sub-Saharan Africa, Southern Asia, and Latin America, with decreases in Eastern and South-Eastern Asia. Using UNSD and IEA data, it contributes to agri-food value chain emissions accounting.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本では薪燃料利用は限定的だが、バイオマス発電や木質ペレット利用の持続可能性評価に示唆を与える。非再生可能な採取の排出計上は、カーボンニュートラルとみなすバイオマス利用の見直しにつながる可能性があり、日本のエネルギー政策やLCA実務に参考となる。

In the global GX context

This paper provides a methodology for distinguishing renewable and non-renewable woodfuel harvesting, relevant for global GHG inventories and bioenergy sustainability criteria. It complements FAO's agri-food emissions database and informs policy on sustainable biomass use, aligning with IPCC guidelines and supporting national reporting under the Paris Agreement.

👥 読者別の含意

🔬研究者:Provides a method to quantify non-renewable biomass emissions, useful for refining GHG inventories and LCA studies.

🏢実務担当者:Helps companies in bioenergy or wood products assess supply chain emissions and sustainability claims.

🏛政策担当者:Informs policies on sustainable biomass use and national GHG reporting, especially for developing countries.

📄 Abstract(原文)

Abstract. The combustion of woodfuel for residential use is often not considered to be a source of greenhouse gas (GHG) emissions in households since emissions from woodfuel combustion can be offset by the CO2 absorbed by the growth of the forest as a carbon sink (IPCC, 2006). However, this only applies to wood that is harvested in a renewable way, i.e., at a rate not exceeding the regrowth rate of the forest from which it is harvested (Drigo et al., 2002). This paper estimates the share of GHG emissions attributable to non-renewable woodfuel harvesting for use in residential food activities. It adds to a growing research base estimating GHG emissions from across the entire agri-food value chain, from the manufacture of farm inputs, through food supply chains, and finally to waste disposal (Tubiello et al., 2021). Country-level information is generated from United Nations Statistics Division (UNSD) and International Energy Agency (IEA) data on woodfuel use in households. We find that, in 2019, annual emissions from non-renewable woodfuel use in household food consumption were about 745 million tonnes (Mt CO2eq yr−1), with uncertainty ranging from −20 % to + 22 %, having increased 6 % from 1990. Overall, global trends were a result of counterbalancing effects: the emission increases were largely fuelled from countries in Sub-Saharan Africa, Southern Asia, and Latin America while significant decreases were seen in countries in Eastern Asia and South-eastern Asia. The Food and Agriculture Organisation of the United Nations (FAO) has developed and regularly maintains a database covering GHG emissions from the various components of the agri-food sector, including pre- and post-production activities, by country and world regions. The dataset is developed according to International Panel on Climate Change guidelines (IPCC, 2006), which avoids overlaps across AFOLU and energy components. It relies mainly on UNSD Energy Statistics data, which are used as activity data for the calculation of the GHG emissions (Tubiello et al., 2022). The information used in this work is available as open data with DOI https://doi.org/10.5281/zenodo.7310932 (Flammini et al., 2022).

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。