Zero-net energy management for the monitoring and control of dynamically-partitioned smart water systems

2020 ◽  
Vol 252 ◽  
pp. 119745 ◽  
Author(s):  
Carlo Giudicianni ◽  
Manuel Herrera ◽  
Armando di Nardo ◽  
Armando Carravetta ◽  
Helena M. Ramos ◽  
...  
Author(s):  
Nelson Pinto ◽  
Dario Cruz ◽  
Jânio Monteiro ◽  
Cristiano Cabrita ◽  
Jorge Semião ◽  
...  

In many countries, renewable energy production already represents an important percentage of the total energy that is generated in electrical grids. In order to reach higher levels of integration, demand side management measures are yet required. In fact, different from the legacy electrical grids, where at any given instant the generation levels are adjusted to meet the demand, when using renewable energy sources, the demand must be adapted in accordance with the generation levels, since these cannot be controlled. In order to alleviate users from the burden of individual control of each appliance, energy management systems (EMSs) have to be developed to both monitor the generation and consumption patterns and to control electrical appliances. In this context, the main contribution of this chapter is to present the implementation of such an IoT-based monitoring and control system for microgrids, capable of supporting the development of an EMS.


Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1647 ◽  
Author(s):  
Luis Gomes ◽  
Filipe Sousa ◽  
Tiago Pinto ◽  
Zita Vale

Smart home devices currently available on the market can be used for remote monitoring and control. Energy management systems can take advantage of this and deploy solutions that can be implemented in our homes. One of the big enablers is smart plugs that allow the control of electrical resources while providing a retrofitting solution, hence avoiding the need for replacing the electrical devices. However, current so-called smart plugs lack the ability to understand the environment they are in, or the electrical appliance/resource they are controlling. This paper applies environment awareness smart plugs (EnAPlugs) able to provide enough data for energy management systems or act on its own, via a multi-agent approach. A case study is presented, which shows the application of the proposed approach in a house where 17 EnAPlugs are deployed. Results show the ability to shared knowledge and perform individual resource optimizations. This paper evidences that by integrating artificial intelligence on devices, energy advantages can be observed and used in favor of users, providing comfort and savings.


2014 ◽  
Vol 9 (2) ◽  
pp. 77-88 ◽  
Author(s):  
Bálint Baranyai ◽  
István Kistelegdi

2018 ◽  
Vol 4 (3) ◽  
pp. 346-358 ◽  
Author(s):  
Matthew Bartos ◽  
Brandon Wong ◽  
Branko Kerkez

Leveraging recent advances in technologies surrounding the Internet of Things, “smart” water systems are poised to transform water resources management by enabling ubiquitous real-time sensing and control.


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