Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning

Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning

The integration of pipeline energy storage in the control of a district heating system can lead to profit gain, for example by adjusting the electricity production of a combined heat and power (CHP) unit to the fluctuating electricity price. The uncertainty from the environment, the computational co...

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Bibliographic Details
Main Authors: Ksenija Stepanovic, Jichen Wu, Rob Everhardt, Mathijs de Weerdt
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Energies
Subjects:
4th generation district heating
combined heat and power economic dispatch
Markov decision process
mixed-integer nonlinear program
pipeline energy storage
Q-learning
Online Access:https://www.mdpi.com/1996-1073/15/9/3290

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https://www.mdpi.com/1996-1073/15/9/3290

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