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

被引:2
作者
Vamos, Viktoria [1 ]
Horvath, Miklos [1 ]
机构
[1] Budapest Univ Technol & Econ, Fac Mech Engn, Dept Bldg Serv & Proc Engn, Muegyet rkp 3, H-1111 Budapest, Hungary
关键词
District heating; Energy signature; Building types; Multifamily buildings; DOMESTIC HOT-WATER; ENERGY-CONSUMPTION; PREDICTION; PROFILES; DEMAND;
D O I
10.1016/j.enbuild.2023.112833
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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/).
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Energy consumption models for residential buildings: a case study
    Ferrarini, Luca
    Fathi, Ehsan
    Disegna, Samuele
    Rastegarpour, Soroush
    2019 24TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2019, : 673 - 678
  • [22] Supporting decision-making for heating and distribution systems in a new residential district-An Austrian case study
    Dermentzis, Georgios
    Ochs, Fabian
    Thuer, Alexander
    Streicher, Wolfgang
    ENERGY, 2021, 224
  • [23] Evaluation and Optimization of heat Pump Combined District Heating System: A Case Study of China
    Cheng, Ling
    Yu, Zesheng
    Xia, Shiyao
    Li, Shixuan
    Li, Ye
    Zhang, Huan
    Li, Bin
    Zhang, Sirui
    Liu, Zijian
    Zheng, Wandong
    ENERGIES, 2022, 15 (20)
  • [24] Optimisation of a Swedish district heating system with reduced heat demand due to energy efficiency measures in residential buildings
    Aberg, M.
    Henning, D.
    ENERGY POLICY, 2011, 39 (12) : 7839 - 7852
  • [25] Evaluation of heating energy consumption patterns in the residential building sector using stepwise selection and multivariate analysis
    Filippin, C.
    Ricard, F.
    Flores Larsen, S.
    ENERGY AND BUILDINGS, 2013, 66 : 571 - 581
  • [26] Prosumers in district heating networks - A Swedish case study
    Brange, Lisa
    Englund, Jessica
    Lauenburg, Patrick
    APPLIED ENERGY, 2016, 164 : 492 - 500
  • [27] A research agenda for the retrofitting of residential buildings in China - A case study
    Baldwin, Andrew N.
    Loveday, Dennis L.
    Li, Baizhan
    Murray, Michael
    Yu, Wei
    ENERGY POLICY, 2018, 113 : 41 - 51
  • [28] Performance Evaluation of Two Machine Learning Techniques in Heating and Cooling Loads Forecasting of Residential Buildings
    Moradzadeh, Arash
    Mansour-Saatloo, Amin
    Mohammadi-Ivatloo, Behnam
    Anvari-Moghaddam, Amjad
    APPLIED SCIENCES-BASEL, 2020, 10 (11):
  • [29] CO2 emission evaluation of energy conserving measures in buildings connected to a district heating system - Case study of a multi-dwelling building in Sweden
    Gustafsson, Mattias
    Ronnelid, Mats
    Trygg, Louise
    Karlsson, Bjorn
    ENERGY, 2016, 111 : 341 - 350
  • [30] Study on Passive Heating Involving Firewalls with an Additional Sunlight Room in Rural Residential Buildings
    Yang, Simin
    Dewancker, Bart
    Chen, Shuo
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (21)