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

Autor: Sharma, Dharmendra, Rehu, Jari, Känsälä, Klaus, Ailisto, Heikki
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Sensors
Volume 21
Issue 3
Sensors, Vol 21, Iss 867, p 867 (2021)
Sensors (Basel, Switzerland)
Sharma, D, Rehu, J, Känsälä, K & Ailisto, H 2021, ' An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration ', Sensors, vol. 21, no. 3, 867, pp. 1-18 . https://doi.org/10.3390/s21030867
ISSN: 1424-8220
DOI: 10.3390/s21030867
Popis: 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 &lsquo
behind-the-meter&rsquo
small loads in short response and provide &lsquo
deep&rsquo
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.
Databáze: OpenAIRE
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