Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A cloud-based energy management system for building managers

Marmaras, Charalampos, Javed, Amir ORCID:, Rana, Omer Farooq ORCID: and Cipcigan, Liana Mirela ORCID: 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

[thumbnail of final_draft_for_submission.pdf]
PDF - Accepted Post-Print Version
Download (1MB) | Preview


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

Citation Data

Cited 6 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics