Sensors, Vol. 19, Pages 3973: Towards Sustainable Energy-Efficient Communities Based on a Scheduling Algorithm

Sensors, Vol. 19, Pages 3973: Towards Sustainable Energy-Efficient Communities Based on a Scheduling Algorithm
Sensors doi: 10.3390/s19183973
Authors:
Carlos Cruz
Esther Palomar
Ignacio Bravo
Alfredo Gardel

The Internet of Things (IoT) and Demand Response (DR) combined have transformed the way Information and Communication Technologies (ICT) contribute to saving energy and reducing costs, while also giving consumers more control over their energy footprint. Unlike current price and incentive based DR strategies, we propose a DR model that promotes consumers reaching coordinated behaviour towards more sustainable (and green) communities. A cooperative DR system is designed not only to bolster energy efficiency management at both home and district levels, but also to integrate the renewable energy resource information into the community’s energy management. Initially conceived in a centralised way, a data collector called the “aggregator” will handle the operation scheduling requirements given the consumers’ time preferences and the available electricity supply from renewables. Evaluation on the algorithm implementation shows feasible computational cost (CC) in different scenarios of households, communities and consumer behaviour. Number of appliances and timeframe flexibility have the greatest impact on the reallocation cost. A discussion on the communication, security and hardware platforms is included prio...

Source: Sensors - September 13, 2019 Category: Biotechnology Authors: Carlos Cruz Esther Palomar Ignacio Bravo Alfredo Gardel Tags: Article Source Type: research