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Energy and land use in worldwide agriculture: an application of life cycle energy and cluster analysis

机译:全球农业中的能源和土地利用:生命周期能源和聚类分析的应用

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Agriculture is expected to provide food in a sustainable manner while also partially contributing to the energy problem as well as to bio-material supply. Moreover, fossil fuels scarcity calls for an increase of energy efficiency in agricultural processes. This study evaluates patterns, trends, driving factors and trade-offs of energy use in selected agricultural systems and aims at grouping them into clusters with similar energy and social performances. Results show that in 2010 the highest power densities and energy intensities of production are found by crop sector of cluster 5 (China: 59.19 GJ/ha, 15.29 MJ/kg dm) and cluster 3 (Japan: 50.11 GJ/ha, 12.32 MJ/kg dm) as well as by livestock sector of cluster 3 (Japan: 328.47 GJ/ha, 103.08 MJ/kg dm), while the lowest values in clusters 2 and 4, including selected developing countries and USA. Cluster 3 (Japan) also shows the lowest energy intensity of economic value of crops (2.75 MJ/$), while cluster 5 (China) the highest one (23.96 MJ/$). Cluster analysis also sheds light on trends, identifying two groups: cluster 1*, gathering most European countries, USA and Japan, characterized by a decreasing trend of all energy indicators; and cluster 2*, including developing countries, the Netherlands and Spain, characterized by an increasing trend of indicators. Results highlight the importance of an integrated framework for evaluating energy use as well as of a multi-criteria approach to understand the trade-offs and interplay of performance indicators.
机译:预计农业将以可持续的方式提供粮食,同时也部分地导致能源问题以及生物材料供应。此外,化石燃料的稀缺性要求提高农业生产过程中的能源效率。这项研究评估了选定农业系统中能源使用的模式,趋势,驱动因素和取舍,目的是将它们分组为具有相似能源和社会绩效的集群。结果显示,2010年,集群5(中国:59.19 GJ / ha,15.29 MJ / kg dm)和集群3(日本:50.11 GJ / ha,12.32 MJ /)的农作物部门发现了最高的功率密度和生产强度。 kg dm)和第3组的畜牧部门(日本:328.47 GJ / ha,103.08 MJ / kg dm),而第2组和第4组的最低值,包括选定的发展中国家和美国。类别3(日本)也显示出最低的农作物经济价值强度(2.75 MJ / $),而类别5(中国)是最高的能源强度(23.96 MJ / $)。聚类分析还揭示了趋势,确定了两个组:聚类1 *,聚集了大多数欧洲国家,美国和日本,其特征是所有能源指标的趋势都在下降;第二类*,包括发展中国家,荷兰和西班牙,其特点是指标呈上升趋势。结果强调了评估能源使用的综合框架以及理解绩效指标之间的取舍和相互影响的多准则方法的重要性。

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