An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration

Dharmendra Sharma (Corresponding Author), Jari Rehu, Klaus Känsälä, Heikki Ailisto

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

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.
Original languageEnglish
Article number867
Pages (from-to)1-18
Number of pages18
JournalSensors
Volume21
Issue number3
DOIs
Publication statusPublished - 28 Jan 2021
MoE publication typeA1 Journal article-refereed

Keywords

  • smart building automation
  • energy optimization
  • energy flexibility
  • aggregator
  • networked energy resources
  • building energy management system
  • IoT
  • cyber physical systems

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