Influence of wood resource types, conversion technologies, and plant size on the climate benefits and costs of advanced biofuels for aviation, shipping and heavy-duty transport
作者:Vedant Ballal, Marcos Djun Barbosa Watanabe, Matteo Gilardi, Eirik Ogner Jåstad, Per Kristian Rørstad, Bo Huang, Marvin Werra, Filippo Bisotti, Bernd Wittgens, Francesco Cherubini · 发表于:Energy Conversion and Management · 年份:2025 · DOI:10.1016/j.enconman.2025.119586 · 被引用次数:9 · 研究领域:Vehicle emissions and performance、Advanced Aircraft Design and Technologies、Environmental Impact and Sustainability
• The investigated advanced biofuels can offer up to 94% climate mitigation. • By 2050, green H2 for fuel upgrading can further enhance mitigation benefits. • Use of biofuels in shipping and trucks delivers 20% more benefits than in aviation. • Use of distributed feedstocks reduces climate impacts but raises production costs. • Advanced biofuels have lower abatement costs than batteries, green H2, and e-fuels. Advanced biofuels are a promising option to achieve ambitious climate change mitigation goals while fostering a circular bioeconomy. Norway aims to expand the production of advanced biofuels from lignocellulosic biomass through novel technologies, but the climate change mitigation benefits and techno-economic performance remain unclear. This study performs an environmental and techno-economic analysis of biofuels from alternative forest-based feedstock using a cost-optimization and spatially explicit econometric model, different emerging conversion technologies, plant production sizes, and priorities for fuel upgrading (aviation, shipping, or trucks). Our results show that a higher number of plants distributed in the country has around 50 % lower emissions for feedstock transport than a single large-scale plant, which instead is more profitable than multiple smaller-scale plants. The investigated technologies achieve 69–94 % lower GHG intensities than fossil fuels, with the highest savings when hydrogen for upgrading is internally produced. The expected future availabil...