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A New Research Journal on Thermal Sciences: Thermo
Review

A Review on Thermal Energy Modelling for Optimal Microgrids Management

1
School of Automation, Guangdong University of Technology, Guangzhou 510006, China
2
Brunel Interdisciplinary Power Systems Research Centre, Brunel University London, London UB8 3PH, UK
*
Authors to whom correspondence should be addressed.
Academic Editors: Miguel Ángel Reyes Belmonte and Johan Jacquemin
Received: 18 February 2021 / Revised: 20 April 2021 / Accepted: 21 April 2021 / Published: 25 April 2021
(This article belongs to the Special Issue Thermal Energy Modelling for Renewable Energy Applications)
Microgrids have become increasingly popular in recent years due to technological improvements, growing recognition of their benefits, and diminishing costs. By clustering distributed energy resources, microgrids can effectively integrate renewable energy resources in distribution networks and satisfy end-user demands, thus playing a critical role in transforming the existing power grid to a future smart grid. There are many existing research and review works on microgrids. However, the thermal energy modelling in optimal microgrid management is seldom discussed in the current literature. To address this research gap, this paper presents a detailed review on the thermal energy modelling application on the optimal energy management for microgrids. This review firstly presents microgrid characteristics. Afterwards, the existing thermal energy modeling utilized in microgrids will be discussed, including the application of a combined cooling, heating and power (CCHP) and thermal comfort model to form virtual energy storage systems. Current trial programs of thermal energy modelling for microgrid energy management are analyzed and some challenges and future research directions are discussed at the end. This paper serves as a comprehensive review to the most up-to-date thermal energy modelling applications on microgrid energy management. View Full-Text
Keywords: combined cooling; heating and power; microgrids energy management; networked microgrids; renewable energy resources; thermal comfort model combined cooling; heating and power; microgrids energy management; networked microgrids; renewable energy resources; thermal comfort model
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MDPI and ACS Style

Yan, M.; Wang, D.; Lai, C.S.; Lai, L.L. A Review on Thermal Energy Modelling for Optimal Microgrids Management. Thermo 2021, 1, 63-76. https://0-doi-org.brum.beds.ac.uk/10.3390/thermo1010006

AMA Style

Yan M, Wang D, Lai CS, Lai LL. A Review on Thermal Energy Modelling for Optimal Microgrids Management. Thermo. 2021; 1(1):63-76. https://0-doi-org.brum.beds.ac.uk/10.3390/thermo1010006

Chicago/Turabian Style

Yan, Mengxuan, Dongxiao Wang, Chun S. Lai, and Loi L. Lai 2021. "A Review on Thermal Energy Modelling for Optimal Microgrids Management" Thermo 1, no. 1: 63-76. https://0-doi-org.brum.beds.ac.uk/10.3390/thermo1010006

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