DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Analysis of heating load diversity in German residential districts and implications for the application in district heating systems

Abstract

In recent years, the application of district heating systems for the heat supply of residential districts has been increasing in Germany. Central supply systems can be very efficient due to diverse energy demand profiles which may lead to reduced installed equipment capacity. Load diversity in buildings has been investigated in former studies, especially for the electricity demand. However, little is known about the influence of single building characteristics (such as building envelope or hot water demand) on the overall heating peak load of a residential district. For measuring the diversity, the peak load ratio (PLR) index is used to represent the percentage reduction of peak load of a district system from a simple sum of individual peak loads of buildings. A total of 144 residential building load profiles have been created with the dynamic building simulation software IDA ICE for a theoretical analysis in which the PLR reaches 15%. Within this study, certain district features are identified which lead to higher diversity. Furthermore, these results are used in a district heating simulation model which confronts the possible advantage of reduced installed capacity with the practical disadvantage of heat distribution losses. Likewise, the influence of load density and the districts buildingmore » structure can be analyzed. This study shows that especially in districts with high load density, which consist of newly constructed buildings with low supply temperature and high influence of the hot water demand, the advantages of load diversity can be exploited.« less

Authors:
 [1];  [2];  [1]
  1. Technische Univ. Darmstadt (Germany). Inst. of Concrete and Masonry Structures
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Building Technology and Urban Systems Division
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1532235
Alternate Identifier(s):
OSTI ID: 1416777
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Energy and Buildings
Additional Journal Information:
Journal Volume: 139; Journal Issue: C; Journal ID: ISSN 0378-7788
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; 42 ENGINEERING; Load diversity; peak load; heat supply; space heating; domestic hot water; residential district; district heating; dynamic building simulation

Citation Formats

Weissmann, Claudia, Hong, Tianzhen, and Graubner, Carl-Alexander. Analysis of heating load diversity in German residential districts and implications for the application in district heating systems. United States: N. p., 2017. Web. doi:10.1016/j.enbuild.2016.12.096.
Weissmann, Claudia, Hong, Tianzhen, & Graubner, Carl-Alexander. Analysis of heating load diversity in German residential districts and implications for the application in district heating systems. United States. https://doi.org/10.1016/j.enbuild.2016.12.096
Weissmann, Claudia, Hong, Tianzhen, and Graubner, Carl-Alexander. Wed . "Analysis of heating load diversity in German residential districts and implications for the application in district heating systems". United States. https://doi.org/10.1016/j.enbuild.2016.12.096. https://www.osti.gov/servlets/purl/1532235.
@article{osti_1532235,
title = {Analysis of heating load diversity in German residential districts and implications for the application in district heating systems},
author = {Weissmann, Claudia and Hong, Tianzhen and Graubner, Carl-Alexander},
abstractNote = {In recent years, the application of district heating systems for the heat supply of residential districts has been increasing in Germany. Central supply systems can be very efficient due to diverse energy demand profiles which may lead to reduced installed equipment capacity. Load diversity in buildings has been investigated in former studies, especially for the electricity demand. However, little is known about the influence of single building characteristics (such as building envelope or hot water demand) on the overall heating peak load of a residential district. For measuring the diversity, the peak load ratio (PLR) index is used to represent the percentage reduction of peak load of a district system from a simple sum of individual peak loads of buildings. A total of 144 residential building load profiles have been created with the dynamic building simulation software IDA ICE for a theoretical analysis in which the PLR reaches 15%. Within this study, certain district features are identified which lead to higher diversity. Furthermore, these results are used in a district heating simulation model which confronts the possible advantage of reduced installed capacity with the practical disadvantage of heat distribution losses. Likewise, the influence of load density and the districts building structure can be analyzed. This study shows that especially in districts with high load density, which consist of newly constructed buildings with low supply temperature and high influence of the hot water demand, the advantages of load diversity can be exploited.},
doi = {10.1016/j.enbuild.2016.12.096},
journal = {Energy and Buildings},
number = C,
volume = 139,
place = {United States},
year = {Wed Mar 01 00:00:00 EST 2017},
month = {Wed Mar 01 00:00:00 EST 2017}
}

Journal Article:

Citation Metrics:
Cited by: 31 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

German central solar heating plants with seasonal heat storage
journal, April 2010


Multicriteria diversity analysis
journal, April 2010


Valuing diversity in energy supply
journal, July 2010


Building occupancy diversity and HVAC (heating, ventilation, and air conditioning) system energy efficiency
journal, August 2016


Application of Lorenz Curve and Gini Index in the Analysis of Load Fea-ture in HVAC Systems
journal, January 2015


Visualizing building energy demand for building peak energy analysis
journal, March 2015


A stochastic bottom-up model for space heating and domestic hot water load profiles for German households
journal, July 2016


Occupant behavior modeling for building performance simulation: Current state and future challenges
journal, November 2015


District heating and cooling: Review of technology and potential enhancements
journal, May 2012


Advances in research and applications of energy-related occupant behavior in buildings
journal, March 2016


Works referencing / citing this record:

An Innovative Control Framework for District Heating Systems: Conceptualisation and Preliminary Results
journal, January 2019


Flexibility from Electric Boiler and Thermal Storage for Multi Energy System Interaction
journal, December 2019

  • Sinha, Rakesh; Bak-Jensen, Birgitte; Radhakrishna Pillai, Jayakrishnan
  • Energies, Vol. 13, Issue 1
  • DOI: 10.3390/en13010098

Analysis of Different Strategies for Lowering the Operation Temperature in Existing District Heating Networks
journal, January 2019

  • Neirotti, Francesco; Noussan, Michel; Riverso, Stefano
  • Energies, Vol. 12, Issue 2
  • DOI: 10.3390/en12020321

Heating energy performance and part load ratio characteristics of boiler staging in an office building
journal, December 2018