A District Energy Management Approach Based on Internet of Things and Blockchain
Giuseppe Olivieri, Gaetano Volpe, Agostino Marcello Mangini, Maria Pia Fanti · 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · 2022
The energy consumption while satisfying user comfort in the District Energy Management is a current crucial problem. This paper proposes an innovative system to improve the user behaviour using an approach based on Internet of Things (IoT) components, Blockchain, Smart Contract and a reward and penalty strategy. In particular, the IoT tools and sensors provide data about the energy consumption in real time. Moreover, a specifically designed Smart Contract stores data and allows adding a basic feature of the Blockchain: the payment management subject to a reward and penalty strategy. Indeed, the users are classified in consumption classes and each class is characterized by multiplier coefficient that increases (penalty) or decreases (reward) the user energy costs. In order to show the applicability and performance of the proposed approach, a case study is presented, considering the energy consumption and IoT data of a 2000 users district.