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

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

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the Universities Power Engineering Conference (UPEC), 2017 52nd International
Number of pages4
PublisherIEEE
Publication date2017
ISBN (Electronic)978-1-5386-2344-2/17
DOIs
Publication statusPublished - 2017
Event52nd International Universities' Power Engineering Conference - Heraklion, Heraklion, Greece
Duration: 28 Aug 201731 Aug 2017
Conference number: 52
http://www.upec2017.com/
http://www.upec2017.com/

Conference

Conference52nd International Universities' Power Engineering Conference
Number52
LocationHeraklion
CountryGreece
CityHeraklion
Period28/08/201731/08/2017
Internet address

Cite this

Cai, H., You, S., Bindner, H. W., Klyapovskiy, S., Yang, X., & Li, R. (2017). 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 IEEE. https://doi.org/10.1109/UPEC.2017.8232027
Cai, Hanmin ; You, Shi ; Bindner, Henrik W. ; Klyapovskiy, Sergey ; Yang, Xiaochen ; Li, Rongling. / Optimal scheduling for electric heat booster under day-ahead electricity and heat pricing. Proceedings of the Universities Power Engineering Conference (UPEC), 2017 52nd International. IEEE, 2017.
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title = "Optimal scheduling for electric heat booster under day-ahead electricity and heat pricing",
abstract = "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.",
author = "Hanmin Cai and Shi You and Bindner, {Henrik W.} and Sergey Klyapovskiy and Xiaochen Yang and Rongling Li",
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Cai, H, You, S, Bindner, HW, Klyapovskiy, S, Yang, X & Li, R 2017, 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. IEEE, 52nd International Universities' Power Engineering Conference, Heraklion, Greece, 28/08/2017. https://doi.org/10.1109/UPEC.2017.8232027

Optimal scheduling for electric heat booster under day-ahead electricity and heat pricing. / Cai, Hanmin; You, Shi; Bindner, Henrik W.; Klyapovskiy, Sergey; Yang, Xiaochen; Li, Rongling.

Proceedings of the Universities Power Engineering Conference (UPEC), 2017 52nd International. IEEE, 2017.

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

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T1 - Optimal scheduling for electric heat booster under day-ahead electricity and heat pricing

AU - Cai, Hanmin

AU - You, Shi

AU - Bindner, Henrik W.

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AU - Yang, Xiaochen

AU - Li, Rongling

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

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Cai H, You S, Bindner HW, Klyapovskiy S, Yang X, Li R. 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. IEEE. 2017 https://doi.org/10.1109/UPEC.2017.8232027