Spatial Mapping and Evaluation of Energy Crop Distribution in Great Britain to 2050

2050 年英国能源作物分布空间测绘与评估

• 批准号: NE/H013415/1
• 负责人: Peter Smith
• 金额: $ 14.04万
• 依托单位: University of Aberdeen
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FH013415%2F1
• 关键词: Spatial; Mapping; Evaluation; Energy; Crop

The aim of the project is to use a whole systems approach to explore spatial aspects of bioenergy development in the UK to 2050, subject to environmental, economic and social factors. We will build on our previous strong collaboration, and draw on the data, models and tools already developed, to project the potential spatial distribution of energy crops under current and future climate (to 2050). The projected yields of energy crops under these conditions represent one aspect of the economic, social and environmental constraints, often termed 'ecosystem services' on the production and use of these crops, which together shape prospective bioenergy supply curves. The project will, examine the optimised spatial distribution and feedstock supply of energy crops using current infrastructure (i.e. the demand), and under scenarios of future potential infrastructure, and quantify the total impacts of such distributions in economic, social and environmental terms. The analysis will use a partial equilibrium model to link farm-scale optimisation to a global input and prices and that of fuel substitutes. Our focus will be restricted to second generation dedicated energy crops (grasses and trees) since these conflict less with food crops and are likely to be grown on low quality agricultural land. Given recommendations by Gallagher on sustainable biofuels (RFA, 2008) it is unlikely that food crops will have any significant role in the UK post 2020 for the supply of bioenergy. Outputs will be spatial maps and related supply curves of optimised energy crop distributions and maps of economic, social and environmental consequences of these distributions, which will be made freely available to other UKERC researchers.

该项目的目的是使用整个系统方法来探索英国至2050年的生物能源发展的空间方面，但要遵守环境，经济和社会因素。我们将基于以前的强大合作，并利用已经开发的数据，模型和工具，以在当前和未来的气候下（至2050年）投射能源作物的潜在空间分布。在这些条件下，能源作物的预计产量代表了经济，社会和环境限制的一个方面，这些方面通常被称为“生态系统服务”，这些作物在生产和使用这些农作物上，共同塑造了前瞻性的生物能源供应曲线。该项目将使用当前的基础设施（即需求）以及在未来潜在的基础设施的情况下，检查优化的空间分布和原料供应能源作物的供应，并量化此类分布在经济，社会和环境方面的总影响。该分析将使用部分平衡模型将农场规模的优化与全球投入和价格以及燃料替代品联系起来。我们的重点将仅限于第二代专门的能源作物（草和树木），因为这些与食品作物的冲突较少，并且很可能在低质量的农业土地上种植。鉴于加拉格尔（Gallagher）关于可持续生物燃料的建议（RFA，2008年），食品作物不太可能在2020年英国的生物能源供应中发挥任何重要作用。产出将是优化的能源作物分布的空间图和相关供应曲线，以及这些分布的经济，社会和环境后果的地图，这些分布将免费提供给其他UKERC研究人员。

项目成果

The technical potential of G reat B ritain to produce ligno-cellulosic biomass for bioenergy in current and future climates

英国在当前和未来气候下生产用于生物能源的木质纤维素生物质的技术潜力

• DOI: 10.1111/gcbb.12103
• 发表时间: 2013
• 期刊: GCB Bioenergy
• 影响因子: 5.6
• 作者: Hastings A

Spatial mapping of building energy demand in G reat B ritain

英国建筑能源需求空间图

• DOI: 10.1111/gcbb.12165
• 发表时间: 2014
• 期刊: GCB Bioenergy
• 影响因子: 5.6
• 作者: Taylor S

Spatial mapping of Great Britain's bioenergy to 2050

到 2050 年英国生物能源空间图

• DOI: 10.1111/gcbb.12149
• 发表时间: 2014
• 期刊: GCB Bioenergy
• 影响因子: 5.6
• 作者: Smith P

How does bioenergy compare with other land-based renewable energy sources globally?

• DOI: 10.1111/gcbb.12013
• 发表时间: 2013-09-01
• 期刊: GLOBAL CHANGE BIOLOGY BIOENERGY
• 影响因子: 5.6
• 作者: Pogson, Mark;Hastings, Astley;Smith, Pete
• 通讯作者: Smith, Pete

Development and evaluation of ForestGrowth- SRC a process-based model for short rotation coppice yield and spatial supply reveals poplar uses water more efficiently than willow

ForestGrowth-SRC 的开发和评估是一种基于过程的短轮伐期矮林产量和空间供应模型，表明杨树比柳树用水效率更高

• DOI: 10.1111/j.1757-1707.2012.01191.x
• 发表时间: 2012
• 期刊: GCB Bioenergy
• 影响因子: 5.6
• 作者: Tallis M