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首页> 外文期刊>Tenside Surfactants Detergents: Journal for Theory, Technology and Application of Surfactants >Stock Model Based Bottom-up Accounting for Washing Machines: Worldwide Energy, Water and Greenhouse Gas Saving Potentials 2010-2030
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Stock Model Based Bottom-up Accounting for Washing Machines: Worldwide Energy, Water and Greenhouse Gas Saving Potentials 2010-2030

机译:基于库存模型的自下而上的洗衣机核算:2010-2030年全球能源,水和温室气体节省潜力

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摘要

Washing laundry is one of the most widespread housework tasks in the world. Washing machines, performing this task already in many private households, are now responsible for about 2% of the global electricity consumption. Worldwide, more than 840 million domestic washing machines are in use, with an annual consumption exceeding 92 TWh of electricity and 19 billion m(3) of water as well as causing emissions of more than 62 megatons CO(2)eq. In North America, Western Europe and Pacific OECD countries, most households own a washing machine. In these economies standard and label policy programs already addressed and reduced the specific electricity and water consumption of washing machines per wash cycle. Nevertheless, in other world regions, the level of ownership for washing machines is still well below saturation and high growth rates can be observed in developing and newly industrialising countries. As washing machines use water, electricity, chemical substances and process time as resources, also the absolute worldwide resource consumption and emissions of these appliances are still on the rise. Due to different washing habits and practices as well as types of washing machines in different world regions, the specific consumption of resources for doing the laundry is varying to a large extent. On that score, this paper presents an overview of the current situation worldwide as well as respective saving potentials. Bottom-up scenario calculations, carried out for the 11 world regions according to the Intergovernmental Panel on Climate Change classification, show that large energy, water and greenhouse gas savings are possible with the 'Best Available Technologies' today, and even higher savings will be possible with next generation 'Best Not yet Available Technologies'. According to model results, these savings are usually also very cost-effective. Following these calculations, it is highly advisable for policymakers world-wide to pay even more attention to improvement options in order to implement ambitious and product-specific policy packages, including minimum performance standards and labelling schemes.
机译:洗衣服是世界上最普遍的家务劳动之一。洗衣机已经在许多私人家庭中完成了这一任务,现在占全球用电量的2%。在全球范围内,有超过8.4亿台家用洗衣机在使用,年耗电量超过92 TWh,耗水量超过190亿立方米(3),并且排放量超过62兆吨CO(2)eq。在北美,西欧和太平洋经合组织国家,大多数家庭拥有洗衣机。在这些经济体中,已经解决了标准和标签政策计划,并减少了每个洗涤周期洗衣机的特定电和水消耗。然而,在其他世界地区,洗衣机的所有权水平仍远低于饱和状态,在发展中国家和新兴工业化国家中都可以看到较高的增长率。由于洗衣机使用水,电,化学物质和处理时间作为资源,因此这些设备在全球范围内的绝对资源消耗和排放量仍在上升。由于不同的洗涤习惯和习惯以及世界不同地区的洗衣机类型不同,用于洗涤衣物的资源的具体消耗量在很大程度上不同。在此基础上,本文概述了全球范围内的现状以及各自的储蓄潜力。根据政府间气候变化专门委员会对11个世界地区进行的自下而上的情景计算显示,利用当今的“最佳可用技术”,可以节省大量的能源,水和温室气体,甚至可以节省更多的钱。下一代“尚无最佳技术”可以实现。根据模型结果,这些节省通常也非常具有成本效益。根据这些计算,强烈建议全球的决策者更加注意改进方案,以实施雄心勃勃且针对特定产品的政策包,包括最低性能标准和标签计划。

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