Modeling the performance of a sorption thermal energy storage reactor using artificial neural networks (2019)
Attributed to:
Topology Optimization for Additive manufacturing of thermal storage heat exchangers with PCMs (TopAddPCM)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.apenergy.2019.113525
Publication URI: http://dx.doi.org/10.1016/j.apenergy.2019.113525
Type: Journal Article/Review
Parent Publication: Applied Energy
ISSN: 03062619