Investigation of district heating peak load reduction in residential neighbourhoods

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Abstract

This study explores the potential of utilizing the energy flexibility of heat customers to reduce peak loads and improve the efficiency of district heating systems. Using Modelica and compiled in Dymola, a rule-based controller and dynamic heat price signals were developed to unlock the energy flexibility of buildings. Simulations were conducted to estimate peak load reduction and potential energy savings that could be realized. To investigate this opportunity, we conducted a simulation-based modeling study of a case study consisting of 19 apartment blocks connected to a local district heating network in a certain location.

Original languageEnglish
Title of host publicationBuilding Simulation Conference Proceedings
Volume18
PublisherInternational Building Performance Simulation Association
Publication date2023
Pages1039-1046
DOIs
Publication statusPublished - 2023
Event18th IBPSA Conference on Building Simulation - Shanghai, China
Duration: 4 Sept 20236 Sept 2023

Conference

Conference18th IBPSA Conference on Building Simulation
Country/TerritoryChina
CityShanghai
Period04/09/202306/09/2023
SeriesBuilding Simulation Conference Proceedings
Volume18
ISSN2522-2708

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