Optimization of Heat Production for Electricity Market Participation

Daniela Guericke; Amos Schledorn; Henrik Madsen

doi:10.1007/978-3-031-10410-7_8

Optimization of Heat Production for Electricity Market Participation

Daniela Guericke
, Amos Schledorn
, Henrik Madsen

Industrial Engineering & Business Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

98 Downloads (Pure)

Abstract

In this chapter, we introduce optimization methods for production scheduling and power market participation for district heating systems under uncertainty. We present an optimization model for scheduling the production units using mixed-integer linear programming and stochastic programming. Based on the optimal production scheduling, the bidding amounts and prices to the day-ahead market are determined using an extension of the model. Results are shown for a demo case of a Danish district heating system.

Original language	English
Title of host publication	Handbook of Low Temperature District Heating
Editors	Roberto Garay-Martinez, Antonio Garrido-Marijuan
Publisher	Springer
Pages	179-193
Number of pages	15
ISBN (Print)	9783031104091, 9783031104107
DOIs	https://doi.org/10.1007/978-3-031-10410-7_8
Publication status	Published - 31 Oct 2022

Publication series

Name	Green energy and technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

22/4 OA procedure

Access to Document

10.1007/978-3-031-10410-7_8

10.1007_978-3-031-10410-7_8Final published version, 579 KBLicence: Taverne

Cite this

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title = "Optimization of Heat Production for Electricity Market Participation",

abstract = "In this chapter, we introduce optimization methods for production scheduling and power market participation for district heating systems under uncertainty. We present an optimization model for scheduling the production units using mixed-integer linear programming and stochastic programming. Based on the optimal production scheduling, the bidding amounts and prices to the day-ahead market are determined using an extension of the model. Results are shown for a demo case of a Danish district heating system.",

keywords = "22/4 OA procedure",

author = "Daniela Guericke and Amos Schledorn and Henrik Madsen",

note = "Funding Information: Acknowledgements Br{\o}nderslev Forsyning A/S and the Department of Applied Mathematics and Computer Science, Technical University of Denmark, are partners in the project Heat 4.0—Digitally supported Smart District Heating funded by Innovation Fund Denmark (grant no. 8090-00046B). Publisher Copyright: {\textcopyright} 2022, TECNALIA.",

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Optimization of Heat Production for Electricity Market Participation. / Guericke, Daniela; Schledorn, Amos; Madsen, Henrik.
Handbook of Low Temperature District Heating. ed. / Roberto Garay-Martinez; Antonio Garrido-Marijuan. Springer, 2022. p. 179-193 (Green energy and technology).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

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AU - Guericke, Daniela

AU - Schledorn, Amos

AU - Madsen, Henrik

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