Simulation of an Adaptive Heat Curve for Automatic optimization of District Heating Installation

Ana Ionesi, Muhyiddine Jradi, Jan Eric Thorsen, Christian Veje

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In Denmark, 62 % of the heating demand for private use is covered by district heating. As the climatic conditions have major impact on the indoor temperature, besides the thermostatic radiator valves, one of the control approaches that is widely implemented for buildings connected to a district heating network is the weather compensation. In this paper the method of online parametric and structural learning is applied for creating an adaptive heat curve that can be used in a weather compensation controller. The developed algorithm was successfully implemented and tested through a Matlab/Simulink simulation of a 75 m2 building with an average energy consumption of 30 kW h m-2 during a winter month. It is shown that the implementation of the building specific heat curve for this case study increases the thermal comfort in the building by adjusting the room temperature to be in a ± 0.5 °C range around the desired temperature, and reduces the energy consumption by 5 %, compared to a baseline study.

Original languageEnglish
Title of host publicationProceedings of 14th International Conference of the International Building Performance Simulation Association (BS2015)
Publication date7. Dec 2015
Pages2117-2124
Publication statusPublished - 7. Dec 2015
EventInternational Conference of the International Building Performance Simulation Association - Hyderabad, India
Duration: 7. Dec 20159. Dec 2015

Conference

ConferenceInternational Conference of the International Building Performance Simulation Association
Country/TerritoryIndia
CityHyderabad
Period07/12/201509/12/2015

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