research-article

A Cloud-Based Energy Management System for Building Managers

Authors:

Charalampos Marmaras,

Liana M. CipciganAuthors Info & Claims

ICPE '17 Companion: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion

Pages 61 - 66

https://doi.org/10.1145/3053600.3053613

Published: 18 April 2017 Publication History

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.

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Cited By

Alsalemi AHimeur YBensaali FAmira A(2021)Smart Sensing and End-Users’ Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy PerspectiveIEEE Sensors Journal10.1109/JSEN.2021.311433321:24(27623-27631)Online publication date: 15-Dec-2021
https://doi.org/10.1109/JSEN.2021.3114333
Palmiotto FZhou YForte GDicorato MTrovato MCipcigan L(2021)A coordinated optimal programming scheme for an electric vehicle fleet in the residential sectorSustainable Energy, Grids and Networks10.1016/j.segan.2021.10055028(100550)Online publication date: Dec-2021
https://doi.org/10.1016/j.segan.2021.100550
Himeur YAlsalemi ABensaali FAmira A(2021)The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in BuildingsIntelligent Systems and Applications10.1007/978-3-030-82196-8_6(70-83)Online publication date: 3-Aug-2021
https://doi.org/10.1007/978-3-030-82196-8_6
Show More Cited By

Index Terms

A Cloud-Based Energy Management System for Building Managers
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
2. Hardware
  1. Power and energy
    1. Energy distribution
      1. Smart grid
    2. Energy generation and storage
      1. Reusable energy storage

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Published In

cover image ACM Conferences

ICPE '17 Companion: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion

April 2017

248 pages

ISBN:9781450348997

DOI:10.1145/3053600

General Chairs:
Walter Binder
Università della Svizzera Italiana, Switzerland
,
Vittorio Cortellessa
Università dell'Aquila, Italy
,
Program Chairs:
Anne Koziolek
Karlsruhe Institute of Technology, Germany
,
Evgenia Smirni
College of William & Mary, USA
,
Meikel Poess
Oracle Corporation, USA

Copyright © 2017 ACM.

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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SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGSOFT: ACM Special Interest Group on Software Engineering
SPEC: SPEC Research Group

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2017

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InnovateUK/EPSRCfunded (EP/M507131/1) "Ebbs and Flows of Energy Systems" (EFES)

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ICPE '17

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ICPE '17: ACM/SPEC International Conference on Performance Engineering

April 22 - 26, 2017

L'Aquila, Italy

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ICPE '17 Companion Paper Acceptance Rate 24 of 65 submissions, 37%;

Overall Acceptance Rate 252 of 851 submissions, 30%

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Cited By

Alsalemi AHimeur YBensaali FAmira A(2021)Smart Sensing and End-Users’ Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy PerspectiveIEEE Sensors Journal10.1109/JSEN.2021.311433321:24(27623-27631)Online publication date: 15-Dec-2021
https://doi.org/10.1109/JSEN.2021.3114333
Palmiotto FZhou YForte GDicorato MTrovato MCipcigan L(2021)A coordinated optimal programming scheme for an electric vehicle fleet in the residential sectorSustainable Energy, Grids and Networks10.1016/j.segan.2021.10055028(100550)Online publication date: Dec-2021
https://doi.org/10.1016/j.segan.2021.100550
Himeur YAlsalemi ABensaali FAmira A(2021)The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in BuildingsIntelligent Systems and Applications10.1007/978-3-030-82196-8_6(70-83)Online publication date: 3-Aug-2021
https://doi.org/10.1007/978-3-030-82196-8_6
Al-Ghaili AKasim H(2020)Functions-focused Building Energy Management Systems: A Review2020 8th International Conference on Information Technology and Multimedia (ICIMU)10.1109/ICIMU49871.2020.9243538(9-13)Online publication date: 24-Aug-2020
https://doi.org/10.1109/ICIMU49871.2020.9243538
Khichadi LKumar SNagamani K(2019)Building a Cloud Solution for Energy Management using Raspberry Pi2019 International Conference on Communication and Electronics Systems (ICCES)10.1109/ICCES45898.2019.9002390(422-426)Online publication date: Jul-2019
https://doi.org/10.1109/ICCES45898.2019.9002390
Allahvirdizadeh YMoghaddam MShayanfar H(2019)A survey on cloud computing in energy management of the smart gridsInternational Transactions on Electrical Energy Systems10.1002/2050-7038.12094Online publication date: 26-Jul-2019
https://doi.org/10.1002/2050-7038.12094
Javed ARana OCipcigan LMarmaras C(2017)Scalable Local Energy Management SystemsEnergy Procedia10.1016/j.egypro.2017.12.446142(3069-3074)Online publication date: Dec-2017
https://doi.org/10.1016/j.egypro.2017.12.446

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