Carbon Credits Through Wood Use: Revisiting the Maximum Potential and Sensitivity to Key Assumptions

IF 4.1 3区 工程技术 Q1 AGRONOMY Global Change Biology Bioenergy Pub Date : 2025-01-10 DOI:10.1111/gcbb.70017
Jari Niemi, Sampo Soimakallio, Elias Hurmekoski, Tanja Myllyviita, Janni Kunttu, Federico Lingua, Tord Snäll
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Abstract

Wood use generates technosphere carbon credits (TCCs) through avoided fossil-based emissions and net sequestration of carbon into the technosphere (harvested wood products and geological storage). We investigated how large and uncertain TCCs of wood use per carbon harvested are considering the current and alternative ways of using wood, and the effects of the decarbonization of societies over 25-, 50-, and 100-year time horizons. We applied stochastic simulation and scenario analysis using Finnish market structure as a baseline to demonstrate the use of the TCC calculator created. The mean value of TCCs of wood use were between 0.2 and 0.5 tC/tC with an uncertainty range from 0.1 to 0.8 tC/tC, depending on the scenario. The uncertainties were mainly concerned with the extent to which (1) fossil-based emissions are avoided through substitution (displacement factors) and (2) fossil-based raw materials are substituted (substitution rates). Assumptions on the decarbonization of societies reduced TCCs of wood use significantly over time. TCCs of wood use can be increased by directing wood into uses that substitute fossil-intensive materials and have a long lifetime, such as construction materials, and increasing energy recovery and avoiding emitting carbon at the end of life of harvested wood products by carbon capture and storage. However, they were very likely to be considerably lower than forest carbon debits resulting from harvesting additional wood for substitution under all considered circumstances and under a wide but reasonable range of stochastic parameter values. Thus, the result emphasizes the need to reduce overall consumption of goods to mitigate climate change.

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通过木材使用的碳信用:重新审视最大潜力和对关键假设的敏感性
木材的使用通过避免化石排放和将碳净封存到技术圈(收获的木材产品和地质储存)而产生技术圈碳信用额(TCCs)。我们研究了在考虑当前和替代木材使用方式的情况下,每碳收获的木材使用的总碳含量有多大和不确定性,以及在25年、50年和100年的时间范围内,社会脱碳的影响。我们应用随机模拟和情景分析,以芬兰市场结构为基准,来演示创建的TCC计算器的使用。木材使用的总碳含量平均值在0.2至0.5 tC/tC之间,不确定性范围为0.1至0.8 tC/tC,具体取决于不同的情景。这些不确定性主要涉及:(1)通过替代(替代因子)避免化石基排放的程度;(2)化石基原材料的替代程度(替代率)。随着时间的推移,对社会脱碳的假设显著降低了木材使用的总碳含量。木材使用的总碳含量可以通过以下方式增加:将木材用于替代化石密集型材料和具有较长使用寿命的用途,例如建筑材料,以及通过碳捕获和储存增加能源回收和避免在采伐木材产品的使用寿命结束时排放碳。但是,在所有考虑的情况下以及在广泛但合理的随机参数值范围内,它们很可能大大低于为替代而采伐额外木材所产生的森林碳借方。因此,研究结果强调了减少商品总消费以减缓气候变化的必要性。
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来源期刊
Global Change Biology Bioenergy
Global Change Biology Bioenergy AGRONOMY-ENERGY & FUELS
CiteScore
10.30
自引率
7.10%
发文量
96
审稿时长
1.5 months
期刊介绍: GCB Bioenergy is an international journal publishing original research papers, review articles and commentaries that promote understanding of the interface between biological and environmental sciences and the production of fuels directly from plants, algae and waste. The scope of the journal extends to areas outside of biology to policy forum, socioeconomic analyses, technoeconomic analyses and systems analysis. Papers do not need a global change component for consideration for publication, it is viewed as implicit that most bioenergy will be beneficial in avoiding at least a part of the fossil fuel energy that would otherwise be used. Key areas covered by the journal: Bioenergy feedstock and bio-oil production: energy crops and algae their management,, genomics, genetic improvements, planting, harvesting, storage, transportation, integrated logistics, production modeling, composition and its modification, pests, diseases and weeds of feedstocks. Manuscripts concerning alternative energy based on biological mimicry are also encouraged (e.g. artificial photosynthesis). Biological Residues/Co-products: from agricultural production, forestry and plantations (stover, sugar, bio-plastics, etc.), algae processing industries, and municipal sources (MSW). Bioenergy and the Environment: ecosystem services, carbon mitigation, land use change, life cycle assessment, energy and greenhouse gas balances, water use, water quality, assessment of sustainability, and biodiversity issues. Bioenergy Socioeconomics: examining the economic viability or social acceptability of crops, crops systems and their processing, including genetically modified organisms [GMOs], health impacts of bioenergy systems. Bioenergy Policy: legislative developments affecting biofuels and bioenergy. Bioenergy Systems Analysis: examining biological developments in a whole systems context.
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