Assessing the Impact of Smart Building Techniques: a Prospective Study for France

A.-S. Malidin, C. KAYSER-BRIL, N. Maizi, E. Assoumou, V. Boutin, V. Mazauric
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引用次数: 8

Abstract

Saving energy is an essential lever in cutting our greenhouse gases emissions. Worldwide, the building sector is responsible for 40% of energy consumption. We focus on the French commercial sector in order to assess the gains that could be made by using smart building techniques over the long term (2030-2050). We use a long-term planning model based on a Markal/Times approach. We develop a specific way of modeling energy savings potential and energy conservation techniques. The commercial sectors energy consumption, sorted by energy carrier, sub-sector and end-use, is determined for the baseline year (2000). It is then extrapolated to 2050, using existing French prospective studies. Assumptions are made on the value of other external parameters, such as energy prices, technological evolution, etc. The model shows that smart building helps to reduce the commercial sectors overall consumption by 8%. This result remains stable when external parameters are modified: smart building solutions are robust. These solutions are complementary to passive (insulation) solutions, and they result in a reduction of the global cost of the energy system.
评估智能建筑技术的影响:法国的前瞻性研究
节约能源是减少温室气体排放的重要一环。在世界范围内,建筑部门占能源消耗的40%。我们将重点放在法国商业领域,以评估长期(2030-2050年)使用智能建筑技术可能带来的收益。我们使用基于马卡尔/时代方法的长期规划模型。我们开发了一种具体的方法来模拟节能潜力和节能技术。商业部门的能源消耗,按能源载体、分部门和最终用途分类,是在基准年(2000年)确定的。然后根据法国现有的前瞻性研究推断到2050年。对其他外部参数的价值进行假设,如能源价格、技术演变等。该模型显示,智能建筑有助于将商业部门的总能耗降低8%。当外部参数被修改时,这个结果保持稳定:智能建筑解决方案是鲁棒的。这些解决方案是对被动(绝缘)解决方案的补充,它们降低了能源系统的全球成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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