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The potential of a bioeconomy to reduce Brazilian GHG emissions towards 2030: a CGE-based life cycle analysis

机译:生物经济的潜力将巴西温室气体排放减少到2030:基于CGE的生命周期分析

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Brazil is one of the largest emitters of greenhouse gases in the world with most of its emissions coming from the land use, land use change, and forestry (LULUCF) sector. New commitments have been set by the Paris Agreement and are reflected in the country's Nationally Determined Contribution (NDC). The Brazilian NDC has three main pillars to reduce emissions: increasing the share of biomass in the total primary energy supply to 18%, reducing deforestation, and achieving 45% of renewable energy in the energy mix. It is important to enlarge the share of biomass in the Brazilian economy, but it is also important to assess the potential impacts on deforestation in order to set the right strategy eventually. This study is thus an effort to investigate the contributions of a biobased economy to reduce Brazilian emissions, considering the broader concept of the bioeconomy, using biomass for energy, chemicals, and materials. To satisfy the objectives of the project, especially those related to its interest in economy-wide changes in feedstock (from fossil to biobased), computable general equilibrium modeling (CGE) was chosen as the basic methodology integrated with an economic input-output life cycle analysis (EIO-LCA). Results show that the impacts of the bioeconomy scenarios are positive but not sufficiently high to reduce the estimated emissions drastically. Emissions by the energy sector produce the highest reductions (7.5%) but the 12% increase in the LULUCF sector offsets those reduction. (c) 2019 Society of Chemical Industry and John Wiley & Sons, Ltd
机译:巴西是世界上最大的温室气体排放者之一,其中大部分排放来自土地利用,土地利用变化和林业(Lulucf)部门。巴黎协议已制定新承诺,并反映在该国的全国委员会(NDC)中。巴西NDC有三个主要的支柱,可减少排放:将生物量的份额增加到18%,降低砍伐森林的总能源供应量,并在能量混合中实现45%的可再生能源。重要的是扩大生物量在巴西经济中的份额,但评估对森林砍伐的潜在影响也很重要,以便最终确定正确的策略。因此,本研究努力调查生物化经济的贡献,以考虑使用生物质的能量,化学品和材料的生物经济学的更广泛的生物经济概念来减少巴西排放。为了满足项目的目标,特别是那些与其对原料中经济范围内的兴趣有关的目标(从化石到生物分析),所选择的一般均衡建模(CGE)被选为与经济投入输出生命周期相结合的基本方法分析(EIO-LCA)。结果表明,生物经济情景的影响是积极的,但没有足够高,以急剧降低估计的排放。能源部门的排放产生最高的减少(7.5%),但Lulucf部门的12%增加抵消了减少的减少。 (c)2019年化学工业协会和约翰瓦里和儿子有限公司

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