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...

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Main Authors: Dharmendra Sharma, Jari Rehu, Klaus Känsälä, Heikki Ailisto
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/3/867
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author Dharmendra Sharma
Jari Rehu
Klaus Känsälä
Heikki Ailisto
author_facet Dharmendra Sharma
Jari Rehu
Klaus Känsälä
Heikki Ailisto
author_sort Dharmendra Sharma
collection DOAJ
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.
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spelling doaj.art-f9c74ef12c464b38846bb9424070d6b92023-12-03T15:01:48ZengMDPI AGSensors1424-82202021-01-0121386710.3390/s21030867An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based OrchestrationDharmendra Sharma0Jari Rehu1Klaus Känsälä2Heikki Ailisto3VTT Technical Research Centre of Finland, Kaitoväylä 1, 90570 Oulu, FinlandVTT Technical Research Centre of Finland, Kaitoväylä 1, 90570 Oulu, FinlandVTT Technical Research Centre of Finland, Kaitoväylä 1, 90570 Oulu, FinlandVTT Technical Research Centre of Finland, Kaitoväylä 1, 90570 Oulu, FinlandThis 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.https://www.mdpi.com/1424-8220/21/3/867smart building automationenergy optimizationenergy flexibilityaggregatornetworked energy resourcesbuilding energy management system
spellingShingle Dharmendra Sharma
Jari Rehu
Klaus Känsälä
Heikki Ailisto
An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration
Sensors
smart building automation
energy optimization
energy flexibility
aggregator
networked energy resources
building energy management system
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 smart building automation
energy optimization
energy flexibility
aggregator
networked energy resources
building energy management system
url https://www.mdpi.com/1424-8220/21/3/867
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