2020 American Control Conference (ACC) 2020
DOI: 10.23919/acc45564.2020.9147698
|View full text |Cite
|
Sign up to set email alerts
|

Hierarchical Hybrid MPC for Management of Distributed Phase Change Thermal Energy Storage

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
8
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(8 citation statements)
references
References 27 publications
0
8
0
Order By: Relevance
“…The need for higher performance and more efficient thermal management systems has driven the design of systems with integrated Thermal Energy Storage (TES) devices that leverage the latent heat of a Phase Change Material (PCM). The design and performance of PCM-based TES has been well-studied [1]- [3], resulting in a wide range of applications including building [4], [5] and aircraft [6], [7] thermal management, power electronics cooling [8], and combined heating and cooling [9].…”
Section: Introductionmentioning
confidence: 99%
See 4 more Smart Citations
“…The need for higher performance and more efficient thermal management systems has driven the design of systems with integrated Thermal Energy Storage (TES) devices that leverage the latent heat of a Phase Change Material (PCM). The design and performance of PCM-based TES has been well-studied [1]- [3], resulting in a wide range of applications including building [4], [5] and aircraft [6], [7] thermal management, power electronics cooling [8], and combined heating and cooling [9].…”
Section: Introductionmentioning
confidence: 99%
“…The utility of a TES is heavily dependent on the dynamics associated with charging (where the PCM solidifies from liquid to solid), discharging (where the PCM melts from solid to liquid), and strategic switching between these two modes of operation. Therefore, accurate control-oriented models of PCM-based TES are needed that capture their hybrid, nonlinear dynamics to be used in predictive controllers like Model Predictive Control (MPC), which have been developed for single-phase [4], [5] and phase change TES [8].…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations