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Model for Determining Geographical Distribution of Heat Saving Potentials in Danish Building Stock

机译:确定丹麦建筑库存节能潜力地理分布的模型

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摘要

Since the global oil crisis in the 1970s, Denmark has followed a path towards energy independency by continuously improving its energy efficiency and energy conservation. Energy efficiency was mainly tackled by introducing a high number of combined heat and power plants in the system, while energy conservation was predominantly approached by implementing heat saving measures. Today, with the goal of 100% renewable energy within the power and heat sector by the year 2035, reductions in energy demand for space heating and the preparation of domestic hot water remain at the top of the agenda in Denmark. A highly detailed model for determining heat demand, possible heat savings and associated costs in the Danish building stock is presented. Both scheduled and energy-saving renovations until year 2030 have been analyzed. The highly detailed GIS-based heat atlas for Denmark is used as a container for storing data about physical properties for 2.5 million buildings in Denmark. Consequently, the results of the analysis can be represented on a single building level. Under the assumption that buildings with the most profitable heat savings are renovated first, the consequences of heat savings for the economy and energy system have been quantified and geographically referenced. The possibilities for further improvements of the model and the application to other geographical regions have been discussed.
机译:自1970年代全球石油危机以来,丹麦通过不断提高能源效率和节约能源,走上了实现能源独立的道路。能源效率主要通过在系统中引入大量的热电联产厂来解决,而节能主要是通过实施节能措施来实现的。今天,目标是到2035年在电力和热力行业中实现100%的可再生能源,减少空间供暖和制备生活热水的能源需求仍然是丹麦的首要任务。提出了一个非常详细的模型,用于确定丹麦建筑库存中的热量需求,可能的热量节省和相关成本。分析了到2030年之前的定期和节能改造。丹麦基于GIS的高度详细的热图集被用作容器,用于存储有关丹麦250万建筑物的物理属性的数据。因此,分析结果可以表示在单个建筑物级别上。假设首先要对节能效益最高的建筑物进行翻新,那么节能对经济和能源系统的影响已被量化并在地理上得到了参考。讨论了进一步改进模型的可能性以及将其应用于其他地理区域的可能性。

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