Data-Driven Robust Optimal Operation of Thermal Energy Storage in Industrial Clusters

Data-Driven Robust Optimal Operation of Thermal Energy Storage in Industrial Clusters

Industrial waste heat recovery is an attractive option having the simultaneous benefits of reducing energy costs as well as carbon emissions. In this context, thermal energy storage can be used along with an optimal operation strategy like model predictive control (MPC) to realize significant energy...

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Bibliographic Details
Main Authors: Mandar Thombre, Zawadi Mdoe, Johannes Jäschke
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Processes
Subjects:
industrial clusters
thermal energy storage
uncertainty
robust model predictive control
energy-efficiency
data-driven
Online Access:https://www.mdpi.com/2227-9717/8/2/194

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