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An Information Monitoring Platform for Thermal Energy Storage Systems Using Cloud Computing

Published: 29 October 2018 Publication History

Abstract

Energy storage plays a key element to use new energy to replace traditional coal and petrochemical energy, and it plays an important role of shifting energy utilization ways. Nowadays energy internet is a way of renewable and sharing energy. A cloud platform for monitoring energy information of thermal storage systems is developed by using cloud computing, IoT and energy storage technologies. This platform allows a user to monitor the running conditions of regional thermal energy systems in real-time from anywhere as the condition data are synchronized to the client-side website, and data are stored into a data storage server. To quickly locate any thermal energy storage system, the geographical locations of the systems built anywhere are marked on the map of the web page. The condition data of all systems can be collected and communicated between the control unit installed in the heat system and the servers on cloud. The gathered data can be worked out for further allocating energy consumption. This platform has been launched after successfully tested on a number of practical thermal energy storage systems at different regions. This will provide a guarantee for further intelligent analysis and optimization of energy deployment.

References

[1]
Wang, X., Chen, H. S., Xu, Y. J., Wang, L and Hu, S. 2017. Research development and tendency of thermal storage technologies. Chinese Science Bulletin, 62, 15, 1602--1610.
[2]
China stress the ten core constructions on energy internet. http://www.gov.cn/xinwen/2016--03/01/content_5047591.htm.
[3]
Teng, Y., Zhang, T. Y and Che, Z. 2018. Review of operation optimization and control of multi-energy interconnection system based on micro-grid. Renewable Energy Resource, 36, 3, 467--471.
[4]
Cao, J and Yang, M. 2013. Energy Internet -- Towards Smart Grid 2.0. In Proceedings of 2013 Fourth International Conference on Networking and Distributed Computing (Los Angeles, CA, USA), 105--110.
[5]
Buyya, R., Beloglazov, A., Abawajy, J. 2010. Energy-efficient management of data center resources for cloud computing: A vision, architectural elements, and open challenges. In Proceedings of the 2010 International Conference on Parallel and Distributed Processing Techniques and Applications (Las Vegas, USA, July 12--15, 2010). http://dro.deakin.edu.au/view/DU:30033287
[6]
Gabrielli, P., Gazzani, M., Martelli, E., Mazzotti, M. 2018. Optimal design of multi-energy systems with seasonal storage. Applied Energy, 219, 1, 408--422.
[7]
Yin, S. R., Ai, Q., Zeng, S. Q., Wu, Q., Hao, R. and Jiang, D. 2018. Challenges and prospects of multi-energy distributed optimization for energy internet. Power System Technology, 42, 5, 1359--1369.
[8]
Butca, C. G., Suciu, G., Ochian, A., Fratu, O, Halunga, S. 2014. Wearable Sensors and Cloud Platform for Monitoring Environmental Parameters in E-Health Applications. In Proceedings of 2014--11th International Symposium on Electronics & telecommunications (ISETC), Timisoara, Romania, Nov 14--15.
[9]
Chen, J. B., Zhong, Y., Anthony, L. 2018. Research on Monitoring Platform of Agricultural Product Circulation Efficiency Supported by Cloud Computing. Wireless Personal Communications, 102, 4, 3573--3587.
[10]
Martín-Garína, A., Millán-Garcíaa, J. A., Baïrib, A., Millán-Medelc J., Sala-Lizarragad, J.M. 2018. Environmental monitoring system based on an Open Source Platform and the Internet of Things for a building energy retrofit. Automation in Construction, 87, 201--214.
[11]
Hartman, W., Hansen, A., Vasquez, E., El-Tawab, S., Altaii, K. 2018. Energy Monitoring and Control Using Internet of Things (IoT) System. In Proceedings of 2018 Systems and Information Engineering Design Symposium (SIEDS), Charlottesville, VA, USA, April 27, 13--18.
[12]
Huang, A. Q, Crow, M. L., Heydt, G. T., Zheng, J. P and Dale, S. J. 2011. The Future Renewable Electric Energy Delivery and Management (FREEDM) System: The Energy Internet. Proceedings of IEEE, 99, 1, 133--148.

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  1. An Information Monitoring Platform for Thermal Energy Storage Systems Using Cloud Computing

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    cover image ACM Other conferences
    CCIOT '18: Proceedings of the 2018 International Conference on Cloud Computing and Internet of Things
    October 2018
    91 pages
    ISBN:9781450365765
    DOI:10.1145/3291064
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 October 2018

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    Author Tags

    1. Cloud computing
    2. Energy internet
    3. Monitoring
    4. Thermal energy storage

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