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首页> 外文期刊>Journal of Industrial Ecology >Indirect and Direct Energy Requirements of City Households in Sweden
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Indirect and Direct Energy Requirements of City Households in Sweden

机译:瑞典城市家庭的间接和直接能源需求

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The objective of this article is to explore the potential for lowering household energy use given existing local support systems,in this case in the Stockholm inner city with the aid of the Dutch energy analysis program(EAP)that was adapted to Swedish conditions and that portrays total energy use for 300 consumption categories.Previously such modeling for Sweden was carried out using only Dutch databases.Our case-study area is well equipped with food stores,local markets,public transportation,and entertainment,facilitating some energy-efficient consumption choices.With maintained expenditure levels but changed consumption patterns,current reduction potentials are on the order of 10-20%.Options concerning diet can lower food indirect energy use by up to 30%,whereas options in other areas have a lower potential.Further reductions will require enhanced local support systems,external as well as internal.The results indicate that it is risky not to use nationally adapted figures for energy efficiency in the production sectors when modeling household energy use,because potential for change may be overlooked.Future work should include foreign energy intensities when modeling imported goods;otherwise,results may be less reliable.The Swedish EAP needs further work before it can be put to use as a modeling tool for everyday behavior;but it is already generating important possibilities for producing reliable data that can be used by local energy counselors.
机译:本文的目的是在给定现有的本地支持系统的情况下,探索降低家庭能源使用的潜力,在本例中,是在斯德哥尔摩市中心,借助适应瑞典国情的荷兰能源分析计划(EAP)总能耗为300种消费类别。以前,瑞典仅使用荷兰数据库进行建模。我们的案例研究区域配备了食品商店,本地市场,公共交通和娱乐设施,为某些节能的消费选择提供了便利。在保持支出水平但改变消费方式的情况下,当前的减少潜力约为10-20%。与饮食有关的选择可以使食物间接能源使用最多降低30%,而其他地区的选择则具有较低的潜力。需要增强的内部和外部的本地支持系统。结果表明,不使用经过国家调整的能源数据是冒险的在模拟家庭能源使用时,生产部门的效率可能会被忽略,因为可能会发生变化。在对进口商品进行模拟时,未来的工作应包括外国能源强度;否则,结果可能不太可靠。瑞典EAP需要进一步工作用作日常行为的建模工具;但是它已经为生成可靠的数据提供了重要的可能性,这些数据可以被当地的能源顾问使用。

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