A cloud-based energy management system for building managers

Marmaras, Charalampos, Javed, Amir ORCID: https://orcid.org/0000-0001-9761-0945, Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646 and Cipcigan, Liana Mirela ORCID: https://orcid.org/0000-0002-5015-3334 2017. A cloud-based energy management system for building managers. Presented at: 8th ACM/SPEC on International Conference on Performance Engineering Companion, L'Aquila, Italy, 22-26 April 2017. ICPE '17: Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion. Association for Computing Machinery, pp. 61-66. 10.1145/3053600.3053613

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Abstract

A Local Energy Management System (LEMS) is described to control Electric Vehicle charging and Energy Storage Units within built environments. To this end, the LEMS predicts the most probable half hours for a triad peak, and forecasts the electricity demand of a building facility at those times. Three operational algorithms were designed, enabling the LEMS to (i) flatten the demand profile of the building facility and reduce its peak, (ii) reduce the demand of the building facility during triad peaks in order to reduce the Transmission Network Use of System (TNUoS) charges, and (iii) enable the participation of the building manager in the grid balancing services market through demand side response. The LEMS was deployed on over a cloud-based system and demonstrated on a real building facility in Manchester, UK.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	Association for Computing Machinery
ISBN:	978-1-4503-4899-7
Funders:	Engineering and Physical Sciences Research Council (EPSRC)
Date of First Compliant Deposit:	2 May 2017
Date of Acceptance:	1 March 2017
Last Modified:	21 Oct 2022 07:36
URI:	https://orca.cardiff.ac.uk/id/eprint/100260

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