Data-Driven Dynamic Modeling of Coupled Thermal and Electric Outputs of Microturbines

Xiandong Xu, Kang Li, Hongjie Jia, Xiaodan Yu, Jing Deng, Yunfei Mu

Research output: Contribution to journalArticle

7 Citations (Scopus)
392 Downloads (Pure)

Abstract

Jointly funded by the EPSRC and NSFC through a large-scale cross consortium project EP/L001063/1, this collaborative work with a leading team on micro-grid research in China has developed a novel and experimentally validated data-driven approach to tackle a key modelling challenge in microturbine applications to provide combined heat and power in microgrid. The work attracted further funding on international collaborative research on microgrid from the Royal Academy of Engineering, and was included in three keynote speeches on decarbonizing the whole energy system from top to tail in two international conferences in China and one workshop in UK.
Original languageEnglish
Number of pages10
JournalIEEE Transactions on Smart Grid
Early online date12 Jul 2016
DOIs
Publication statusEarly online date - 12 Jul 2016

Fingerprint Dive into the research topics of 'Data-Driven Dynamic Modeling of Coupled Thermal and Electric Outputs of Microturbines'. Together they form a unique fingerprint.

  • Cite this