Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sharma, Dharmendra, Rehu, Jari, Känsälä, Klaus, Ailisto, Heikki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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
_version_ 1783647923251183616
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
work_keys_str_mv AT sharmadharmendra anautomaticaggregatorofpowerflexibilityinsmartbuildingsusingsoftwarebasedorchestration
AT rehujari anautomaticaggregatorofpowerflexibilityinsmartbuildingsusingsoftwarebasedorchestration
AT kansalaklaus anautomaticaggregatorofpowerflexibilityinsmartbuildingsusingsoftwarebasedorchestration
AT ailistoheikki anautomaticaggregatorofpowerflexibilityinsmartbuildingsusingsoftwarebasedorchestration
AT sharmadharmendra automaticaggregatorofpowerflexibilityinsmartbuildingsusingsoftwarebasedorchestration
AT rehujari automaticaggregatorofpowerflexibilityinsmartbuildingsusingsoftwarebasedorchestration
AT kansalaklaus automaticaggregatorofpowerflexibilityinsmartbuildingsusingsoftwarebasedorchestration
AT ailistoheikki automaticaggregatorofpowerflexibilityinsmartbuildingsusingsoftwarebasedorchestration