首页> 外文期刊>Global change biology bioenergy >Estimating UK perennial energy crop supply using farm-scale models with spatially disaggregated data
【24h】

Estimating UK perennial energy crop supply using farm-scale models with spatially disaggregated data

机译:使用具有空间分列数据的农业规模模型估算英国多年生能源作物供应

获取原文
           

摘要

To achieve the UK Government's aim of expansion in the growth of perennial energy crops requires farmers to select these crops in preference to conventional rotations. Existing studies estimating the total potential resource have either only simplistically considered the farmer decision-making and opportunity costs, for example using an estimate of annual land rental charge; or have not considered spatial variability, for example using representative farm types. This paper attempts to apply a farm-scale modelling approach with spatially specific data to improve understanding of potential perennial energy crop supply. The model main inputs are yield maps for the perennial energy crops, Miscanthus and willow grown as short-rotation coppice (SRC), and regional yields for conventional crops. These are used to configure location specific farm-scale models, which optimize for profit maximization with risk aversion. Areas that are unsuitable or unavailable for energy crops, due to environmental or social factors, are constrained from selection. The results are maps of economic supply, assuming a homogenous farm-gate price, allowing supply cost curves for the UK market to be derived. The results show a high degree of regional variation in supply, with different patterns for each energy crop. Using estimates of yields under climate change scenarios suggests that Miscanthus supply may increase under future climates while the opposite effect is suggested for SRC willow. The results suggest that SRC willow is only likely to able to supply a small proportion of the anticipated perennial energy crop target, without increases in market prices. Miscanthus appears to have greater scope for supply, and its dominance may be amplified over time by the effects of climate change. Finally, the relationship to the demand side of the market is discussed, and work is proposed to investigate the factors impacting how the market as a whole may develop.
机译:为实现英国政府对多年生能源作物增长的扩张的目标,需要农民选择这些作物,以便优先考虑传统旋转。估计总潜在资源的现有研究只要简单地考虑农民决策和机会成本,例如使用年土租金估计;或者没有考虑空间变异性,例如使用代表性农场类型。本文试图使用空间特定数据应用农场规模建模方法,以改善对潜在的多年生能量作物供应的理解。模型主要输入是用于常年能量作物,MISCANTHUS和柳树作为短旋转COPPICE(SRC)的产量图,以及常规作物的区域产率。这些用于配置位置特定的农场规模模型,该模型优化了风险厌恶的利润最大化。由于环境或社会因素而导致的能量作物不适合或不可用的地区受到限制。结果是经济供应的地图,假设均匀的农场价格,允许推导英国市场的供应成本曲线。结果表明,供应的高度区域变化,每个能量作物的模式不同。利用气候变化方案下的产量估计表明,在未来的气候下,Miscanthus供应可能会增加,而SRC Willow则提出相反的效果。结果表明,SRC Willow仅可能能够提供一小部分预期的常年能源作物目标,而不会增加市场价格。 Miscanthus似乎具有更大的供应范围,并且其优势可能随着气候变化的影响而随着时间的推移而被扩大。最后,讨论了与市场需求方的关系,并建议研究影响市场如何发展的因素。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号