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Pallonetto, Fabiano, Mangina, Eleni, Milano, Federico and Finn, Donal P. (2019) SimApi, a smartgrid co-simulation software platform for benchmarking building control algorithms. SoftwareX, 9. pp. 271-281. ISSN 2352-7110
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Abstract
This paper describes an open source smart grid software infrastructure for co-simulation between cloud-based energy management systems and a building energy model. The core component of the infrastructure is an API, which provides a protocol abstraction as a decoupling mechanism between the control algorithms and the building, thereby facilitating the development and testing of intelligent controllers. The open-source infrastructure can be utilised for the development and benchmarking of smart grid demand response algorithms aimed at reducing the energy consumption and the carbon footprint of buildings, while facilitating the integration of renewable energies into the power system.
| Item Type: | Article |
|---|---|
| Additional Information: | © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Cite as: Fabiano Pallonetto, Eleni Mangina, Federico Milano, Donal P. Finn, SimApi, a smartgrid co-simulation software platform for benchmarking building control algorithms, SoftwareX, Volume 9, 2019, Pages 271-281, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2019.03.003. (https://www.sciencedirect.com/science/article/pii/S2352711018300463) |
| Keywords: | Smart grid; Control algorithm; Building simulation software; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI Faculty of Social Sciences > School of Business |
| Item ID: | 15010 |
| Identification Number: | 10.1016/j.softx.2019.03.003 |
| Depositing User: | Fabiano Pallonetto |
| Date Deposited: | 12 Nov 2021 18:24 |
| Journal or Publication Title: | SoftwareX |
| Publisher: | Elsevier |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/15010 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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