District heating energy efficiency of Danish building typologies

• Published in: Energy and buildings Vol. 231; p. 110602
• Main Authors: Kristensen, Martin Heine, Petersen, Steffen
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 15.01.2021; Elsevier BV
• Subjects: Annual relative daily variation; Building typology; Buildings; Construction; Cooling; Datasets; District heating; Efficiency; Energy consumption; Energy efficiency; Energy use intensity; Heating; Heating systems; Hot water heating; Indicators; Load fluctuation; Relative cooling temperature; Smart meter data; Temporal variations; Typology; Building typology; Smart meter data; Energy use intensity; Relative cooling temperature; District heating; Annual relative daily variation
• ISSN: 0378-7788; 1872-6178
• DOI: 10.1016/j.enbuild.2020.110602

•Freely available online overview of district heating efficiency indicators.•Hourly district heating energy use data from approx. 43 000 buildings.•Building stock segmented into building typologies for analysis of:•-1) Heating energy use intensity, 2) load variation and 3) cooling efficiency This paper provides a state-of-the-art and freely available online overview of the district heating (DH) efficiency of Danish building typologies. The overview is based on DH consumption data from 42 969 buildings constructed up until 2017 that in combination with data from the Danish Building and Dwelling Register constitutes a dataset with a previously unseen level of detail, confidence, sample size, and research opportunities. The paper also presents an initial analysis of the dataset in terms of three heating efficiency indicators, namely 1) Annual heating energy use intensity, 2) Daily heat load variation, and 3) Cooling efficiency. The overall finding was that building typologies perform significantly different from one another concerning indicators 1 and 2, but not for indicator 3. It is therefore not possible to declare one building typology more efficient than the other as this depends on the building construction year and the considered efficiency indicator. The data indicate that further energy-efficiency improvements of the existing building stock are essential to the realization of 4th Generation District Heating technologies in Denmark and that these improvements most likely will lead to increased heat load variations that need to be addressed, for instance by enabling a larger degree of demand-side flexibility in the existing district heating systems. The large temporal variation of the buildings’ cooling efficiency indicates that there is a potential for rethinking e.g. domestic hot water production in the summer or introduce differentiated billing based on the daily, weekly, or maybe seasonal cooling performance. The presented dataset can be subject to several future investigations which are also discussed in the paper.