Shifting wood between material and energy use: Modeling the effects of substitution

替代(逻辑) 工业生态学 环境科学 材料科学 持续性 计算机科学 生态学 生物 程序设计语言
作者
Theresa Boiger,Claudia Mair‐Bauernfeind,Raphael Asada,Tobias Stern
出处
期刊:Journal of Industrial Ecology [Wiley]
被引量:1
标识
DOI:10.1111/jiec.13530
摘要

Abstract Wood as a renewable material is relevant for climate change mitigation: Carbon sequestration in forests and carbon storage in harvested wood products (HWPs) contribute to carbon reduction in the atmosphere, and the substitution of carbon‐intensive products with wood products can reduce greenhouse gas (GHG) emissions. Since wood is a limited resource, it must be used efficiently and sustainably. Shifting wood from one application to another might result in decreased GHG emissions due to substitution effects. However, which wood application will lead to a GHG emission reduction is currently unknown. This study investigates the effects of shifting wood between applications and the resulting substitution effects from a system perspective. A system dynamics model describes the wood utilization system of Austria, including the value chains from the forest to wood‐processing industries and the substitution that takes place in these industries. These value chains are associated with the global warming potential. Seven wood utilization scenarios shifting between material use and use for energy are simulated. The results show that wood shifts lead to both a substitution effect (emission reduction) in industries where wood utilization is increased and a counter effect (emission increase) where wood is replaced. The two effects potentially outweigh each other partly, leading to comparatively small net effects. However, carbon sequestration in HWPs and future changes in substitution effects might lead to additional effects. To substantially contribute to climate change mitigation, alternatives other than shifting wood between material and energy value chains need to be found within the wood utilization system.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
SciGPT应助JYK采纳,获得30
1秒前
蓝天发布了新的文献求助10
2秒前
啾啾发布了新的文献求助10
2秒前
DONNYTIO完成签到,获得积分10
3秒前
manman完成签到,获得积分10
4秒前
努力的松完成签到,获得积分10
4秒前
5秒前
SANQI完成签到,获得积分20
5秒前
科研通AI6.1应助榴莲吡啶采纳,获得30
5秒前
文静完成签到,获得积分10
6秒前
6秒前
李健的粉丝团团长应助ll采纳,获得10
7秒前
铁皮发布了新的文献求助30
7秒前
DONNYTIO发布了新的文献求助10
7秒前
科研通AI6.4应助呼延元风采纳,获得10
8秒前
8秒前
8秒前
9秒前
9秒前
深情安青应助羊肉沫采纳,获得10
9秒前
lilili应助周城采纳,获得10
10秒前
成就的树叶完成签到,获得积分10
11秒前
SANQI发布了新的文献求助10
11秒前
瘦瘦青文发布了新的文献求助10
12秒前
12秒前
科研通AI6.2应助陈颖采纳,获得30
12秒前
香蕉觅云应助世界需要我采纳,获得10
12秒前
14秒前
15秒前
慕青应助单薄雪巧采纳,获得10
15秒前
15秒前
科研通AI6.4应助德伯88采纳,获得30
15秒前
bkagyin应助专注的班采纳,获得10
15秒前
以利沙完成签到 ,获得积分10
16秒前
酷炫小笼包完成签到,获得积分10
16秒前
曌毓发布了新的文献求助10
16秒前
圆粥绿完成签到,获得积分10
16秒前
斯文败类应助啾啾采纳,获得10
18秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cronologia da história de Macau 1600
Decentring Leadership 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
Intentional optical interference with precision weapons (in Russian) Преднамеренные оптические помехи высокоточному оружию 1000
Atlas of Anatomy 5th original digital 2025的PDF高清电子版(非压缩版,大小约400-600兆,能更大就更好了) 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6184391
求助须知:如何正确求助?哪些是违规求助? 8011685
关于积分的说明 16664077
捐赠科研通 5283697
什么是DOI,文献DOI怎么找? 2816584
邀请新用户注册赠送积分活动 1796376
关于科研通互助平台的介绍 1660883