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From Intelligent Energy Management to Value Economy through a Digital Energy Currency: Bahrain City Case Study

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Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece
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Department of Physics, College of Science, University of Bahrain, Zallaq 32038, Bahrain
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Author to whom correspondence should be addressed.
Sensors 2020, 20(5), 1456; https://doi.org/10.3390/s20051456
Received: 22 January 2020 / Revised: 3 March 2020 / Accepted: 4 March 2020 / Published: 6 March 2020
(This article belongs to the Special Issue Smart Energy City with AI, IoT and Big Data)
The transition of the energy system into a more efficient state requires innovative ideas to finance new schemes and engage people into adjusting their behavioural patterns concerning consumption. Effective energy management combined with Information and Communication Technologies (ICTs) open new opportunities for local and regional authorities, but also for energy suppliers, utilities and other obligated parties, or even energy cooperatives, to implement mechanisms that allow people to become more efficient either by producing and trading energy or by reducing their energy consumption. In this paper, a novel framework is proposed connecting energy savings with a digital energy currency. This framework builds reward schemes where the energy end-users could benefit financially from saving energy, by receiving coins according to their real consumption compared to the predicted consumption if no actions were to take place. A pilot appraisal of such a scheme is presented for the case of Bahrain, so as to simulate the behaviour of the proposed framework in order for it to become a viable choice for intelligent energy management in future action plans. View Full-Text
Keywords: digital energy currency; intelligent energy management; behavioural change; artificial intelligence; smart energy cities; AI-driven business model digital energy currency; intelligent energy management; behavioural change; artificial intelligence; smart energy cities; AI-driven business model
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MDPI and ACS Style

Marinakis, V.; Doukas, H.; Koasidis, K.; Albuflasa, H. From Intelligent Energy Management to Value Economy through a Digital Energy Currency: Bahrain City Case Study. Sensors 2020, 20, 1456.

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