Abstract

Nowadays, internet of things devices are becoming more prominent since they can integrate energy management systems. However, data sharing between end-users and other external entities is a concern that must be addressed to ensure data privacy. Given the above, this paper proposes a trustworthy energy management system for energy communities to enable direct internet of things devices’ participation in demand response programs at the community level. This solution is based on a building energy management system framework that considers signed tokens to maintain end-user data privacy and manage data access. Likewise, this solution can plan future demand response events to balance the consumption and generation, using the internet of things device’s flexibility. The results demonstrated that the planned demand response event for one hour efficiently balanced the energy community energy resources, enabling a reduction of approximately 2.8 kWh. Thus, the proposed solution allows safeguarding data ownership rights while efficiently managing energy resources.

Highlights

  • Using Energy Management Systems (EMS) is something common in the context of smart grids, enabling the management of electric loads and resources using centralized or decentralized techniques [1]

  • This paper proposes a trustworthy energy management system for members of Energy Communities (EC) to enable direct IoT devices’ participation in demand response (DR) programs

  • Regarding the business as usual (BAU) and Correction 2 scenarios, it can be seen that, in this one-hour DR event, the EC consumption was reduced by approximately 2.8 kWh, balancing the EC energy resources in a manner that the PV generation was used to its max

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Summary

Introduction

Using Energy Management Systems (EMS) is something common in the context of smart grids, enabling the management of electric loads and resources using centralized or decentralized techniques [1]. This paper proposes a trustworthy energy management system for members of Energy Communities (EC) to enable direct IoT devices’ participation in DR programs This solution is composed of an IoT-based framework for building energy management, which will allow the implementation of an EMS supported by IoT devices and focus on user privacy. User privacy is one of the advantages and innovations concerning other systems that have already been developed [11,12], and the proposed framework, besides focusing on the participation of IoT devices in DR programs, allows the user’s security to be maintained. The DR event planning is based on the ranking of IoT devices resulting from the combination of four different metrics, based on clustering algorithms These metrics evaluate historical participation and available flexibility.

Related Works
IoT-Based Framework for Building Energy Management
Connectivity Layer
Middleware Layer
Core Layer
Demand Response for Energy Communities Using IoT Devices
Demand Response Event Identification
IoT Device Classification
Invitation for the Demand Response Event
Case Study
Conclusions and Future Work
Full Text
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