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DOI10.2478/rtuect-2020-0014
Assigning Energetic Archetypes to a Digital Cadastre and Estimating Building Heat Demand. An Example from Hamburg, Germany
Dochev I.; Seller H.; Peters I.
发表日期2020
ISSN22558837
起始页码233
结束页码253
卷号24期号:1
英文摘要In view of the relatively large energy consumption of national building stocks, many cities and municipalities start to prepare energetic building stock models to monitor energy efficiency and plan policies at city or regional scales. In many cases, data on individual buildings is not available. A usual approach to this is the "archetype" approach-classifying the building stock into energetic types (archetypes). This classification is usually based on non-energetic properties available in digital cadastres (construction type, year of construction etc.) and can be a large source of error. We present our research into the difficulties and pitfalls associated with such an approach using the city of Hamburg as an example. In the end, we compare the modelled estimates with consumption data at three different levels to evaluate model performance. © 2020 Ivan Dochev et al., published by Sciendo.
关键词buildingenergy useestimation methodmodelingGermanyHamburg [Germany]
语种英语
来源机构Environmental and Climate Technologies
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/132509
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GB/T 7714
Dochev I.,Seller H.,Peters I.. Assigning Energetic Archetypes to a Digital Cadastre and Estimating Building Heat Demand. An Example from Hamburg, Germany[J]. Environmental and Climate Technologies,2020,24(1).
APA Dochev I.,Seller H.,&Peters I..(2020).Assigning Energetic Archetypes to a Digital Cadastre and Estimating Building Heat Demand. An Example from Hamburg, Germany.,24(1).
MLA Dochev I.,et al."Assigning Energetic Archetypes to a Digital Cadastre and Estimating Building Heat Demand. An Example from Hamburg, Germany".24.1(2020).
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