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Conference paper

Optimal scheduling for electric heat booster under day-ahead electricity and heat pricing

In Proceedings of the Universities Power Engineering Conference (upec), 2017 52nd International — 2017, pp. 1-4
From

Department of Electrical Engineering, Technical University of Denmark1

Center for Electric Power and Energy, Centers, Technical University of Denmark2

Energy System Management, Center for Electric Power and Energy, Centers, Technical University of Denmark3

Department of Civil Engineering, Technical University of Denmark4

Section for Building Energy, Department of Civil Engineering, Technical University of Denmark5

Section for Indoor Climate and Building Physics, Department of Civil Engineering, Technical University of Denmark6

Multi-energy system (MES) operation calls for active management of flexible resources across energy sectors to improve efficiency and meet challenging environmental targets. Electric heat booster, a solution for Domestic Hot Water (DHW) preparation under Low-Temperature-District-Heating (LTDH) context, is identified as one of aforementioned flexible resources for electricity and heat sectors.

This paper extends the concept of optimal load scheduling under day-ahead pricing from electricity sector only to both electricity and heat sectors. A case study constructing day-ahead energy prices to shift energy consumption to low carbon content energy is provided. Results show that 0.5 DKK/kWhel add-ons on top of electricity spot price makes electricity and heat price not comparable such that electricity price variation will have no impact on load scheduling.

This result suggests aforementioned concept is not feasible with current Danish electricity taxation.

Language: English
Publisher: IEEE
Year: 2017
Pages: 1-4
Proceedings: 52nd International Universities' Power Engineering Conference
ISBN: 1538623447 , 1538623455 , 9781538623442 and 9781538623459
Types: Conference paper
DOI: 10.1109/UPEC.2017.8232027
ORCIDs: Cai, Hanmin , You, Shi , Bindner, Henrik W. , Klyapovskiy, Sergey , Yang, Xiaochen and Li, Rongling

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