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An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration
This paper presents a software-based modular and hierarchical building energy management system (BEMS) to control the power consumption in sensor-equipped buildings. In addition, the need of this type of solution is also highlighted by presenting the worldwide trends of thermal energy end use in bui...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865763/ https://www.ncbi.nlm.nih.gov/pubmed/33525444 http://dx.doi.org/10.3390/s21030867 |
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author | Sharma, Dharmendra Rehu, Jari Känsälä, Klaus Ailisto, Heikki |
author_facet | Sharma, Dharmendra Rehu, Jari Känsälä, Klaus Ailisto, Heikki |
author_sort | Sharma, Dharmendra |
collection | PubMed |
description | This paper presents a software-based modular and hierarchical building energy management system (BEMS) to control the power consumption in sensor-equipped buildings. In addition, the need of this type of solution is also highlighted by presenting the worldwide trends of thermal energy end use in buildings and peak power problems. Buildings are critical component of smart grid environments and bottom-up BEMS solutions are need of the hour to optimize the consumption and to provide consumption side flexibility. This system is able to aggregate the controls of the all-controllable resources in building to realize its flexible power capacity. This system provides a solution for consumer to aggregate the controls of ‘behind-the-meter’ small loads in short response and provide ‘deep’ demand-side flexibility. This system is capable of discovery, status check, control and management of networked loads. The main novelty of this solution is that it can handle the heterogeneity of the installed hardware system along with time bound changes in the load device network and its scalability; resulting in low maintenance requirements after deployment. The control execution latency (including data logging) of this BEMS system for an external control signal is less than one second per connected load. In addition, the system is capable of overriding the external control signal in order to maintain consumer coziness within the comfort temperature thresholds. This system provides a way forward in future for the estimation of the energy stored in the buildings in the form of heat/temperature and use buildings as temporary batteries when electricity supply is constrained or abundant. |
format | Online Article Text |
id | pubmed-7865763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78657632021-02-07 An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration Sharma, Dharmendra Rehu, Jari Känsälä, Klaus Ailisto, Heikki Sensors (Basel) Article This paper presents a software-based modular and hierarchical building energy management system (BEMS) to control the power consumption in sensor-equipped buildings. In addition, the need of this type of solution is also highlighted by presenting the worldwide trends of thermal energy end use in buildings and peak power problems. Buildings are critical component of smart grid environments and bottom-up BEMS solutions are need of the hour to optimize the consumption and to provide consumption side flexibility. This system is able to aggregate the controls of the all-controllable resources in building to realize its flexible power capacity. This system provides a solution for consumer to aggregate the controls of ‘behind-the-meter’ small loads in short response and provide ‘deep’ demand-side flexibility. This system is capable of discovery, status check, control and management of networked loads. The main novelty of this solution is that it can handle the heterogeneity of the installed hardware system along with time bound changes in the load device network and its scalability; resulting in low maintenance requirements after deployment. The control execution latency (including data logging) of this BEMS system for an external control signal is less than one second per connected load. In addition, the system is capable of overriding the external control signal in order to maintain consumer coziness within the comfort temperature thresholds. This system provides a way forward in future for the estimation of the energy stored in the buildings in the form of heat/temperature and use buildings as temporary batteries when electricity supply is constrained or abundant. MDPI 2021-01-28 /pmc/articles/PMC7865763/ /pubmed/33525444 http://dx.doi.org/10.3390/s21030867 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sharma, Dharmendra Rehu, Jari Känsälä, Klaus Ailisto, Heikki An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration |
title | An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration |
title_full | An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration |
title_fullStr | An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration |
title_full_unstemmed | An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration |
title_short | An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration |
title_sort | automatic aggregator of power flexibility in smart buildings using software based orchestration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865763/ https://www.ncbi.nlm.nih.gov/pubmed/33525444 http://dx.doi.org/10.3390/s21030867 |
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