@inbook{e2111b41e008462ca149cf66120ab621,
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.",
year = "2022",
month = oct,
day = "31",
doi = "10.1007/978-3-031-10410-7_8",
language = "English",
isbn = "9783031104091",
series = "Green energy and technology",
publisher = "Springer",
pages = "179--193",
editor = "Roberto Garay-Martinez and Antonio Garrido-Marijuan",
booktitle = "Handbook of Low Temperature District Heating",
}
