4.7 Article

Evaluation of district heating patterns for Hungarian residential buildings: Case study of Budapest

Journal

ENERGY AND BUILDINGS
Volume 284, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2023.112833

Keywords

District heating; Energy signature; Building types; Multifamily buildings

Ask authors/readers for more resources

This study focuses on analyzing the heat consumption of multifamily buildings using measured district heating consumption data in Budapest, Hungary. The buildings were grouped into 11 types based on their architectural characteristics. The study aims to examine how the buildings' characteristics influence their energy demand.
The present study focuses on analysing the heat consumption of multifamily buildings. The study eval-uates measured district heating consumption data in Budapest, Hungary. The examined 218 buildings were grouped into 11 building types based on their architectural characteristics and analysed separately. The study aims to answer the question: how the buildings' characteristics influence the energy demand of the buildings. In the buildings only the total energy consumption is measured, thus the domestic hot water energy demand was examined in the summer months, when there is no heating in the building. The domestic hot water heat loss was 37-54% of total heat consumption in the summer period. The speci-fic total district heating consumption data [kWh/m3/day] has higher deviation in colder months. The length of heating period is 183 days in Hungary, however the average length of heating period was longer in the examined buildings and it was even longer in case of the uninsulated buildings. From the measured consumption data the energy signature curves were developed for each building type for both the insu-lated and uninsulated buildings separately and the results were compared and analysed in detail. The energy signature diagrams showed a significant gap between the insulated and uninsulated buildings' total district heating consumption data in the heating period. Lines were fitted to the data and the slope of the lines fitted to uninsulated buildings' data indicate higher decline for every building type. A sepa-ration method was also suggested to divide the data of heating and non-heating period if its term is unknown. The difference between the average slope values of the fitted lines were analysed compared to buildings' characteristics. It aimed to examine if the consumption reduction is influenced by the build-ings' physical parameters. In conclusion, the buildings' characteristics did not always influence the final results (e.g. domestic hot water heat loss). But uninsulated buildings tend to have longer heating periods and buildings with smaller cooling surface area per heated volume had a predominantly lower energy consumption reduction rate. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available