Energy-Efficient Computing and Networking. First International Conference, E-Energy 2010, Athens, Greece, October 14-15, 2010, Revised Selected Papers

Research Article

NOBEL – A Neighborhood Oriented Brokerage ELectricity and Monitoring System

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  • @INPROCEEDINGS{10.1007/978-3-642-19322-4_20,
        author={Antonio Marqu\^{e}s and Manuel Serrano and Stamatis Karnouskos and Pedro Marr\^{o}n and Robert Sauter and Evangelos Bekiaris and Eleni Kesidou and Joel H\o{}glund},
        title={NOBEL -- A Neighborhood Oriented Brokerage ELectricity and Monitoring System},
        proceedings={Energy-Efficient Computing and Networking. First International Conference, E-Energy 2010, Athens, Greece, October 14-15, 2010, Revised Selected Papers},
        proceedings_a={E-ENERGY},
        year={2012},
        month={10},
        keywords={smart grid smart metering prosumer brokerage system neighborhood management smart city},
        doi={10.1007/978-3-642-19322-4_20}
    }
    
  • Antonio Marqués
    Manuel Serrano
    Stamatis Karnouskos
    Pedro Marrón
    Robert Sauter
    Evangelos Bekiaris
    Eleni Kesidou
    Joel Höglund
    Year: 2012
    NOBEL – A Neighborhood Oriented Brokerage ELectricity and Monitoring System
    E-ENERGY
    Springer
    DOI: 10.1007/978-3-642-19322-4_20
Antonio Marqués1, Manuel Serrano1, Stamatis Karnouskos2, Pedro Marrón3, Robert Sauter3, Evangelos Bekiaris4, Eleni Kesidou4, Joel Höglund5
  • 1: ETRA Research and Development
  • 2: SAP Research
  • 3: Universität Duisburg-Essen
  • 4: Centre for Research and Technology
  • 5: Swedish Institute of Computer Science

Abstract

Distributed generation of energy coming from various vendors, even private homes, is a big challenge for tomorrows power management systems that, unlike today, will not dispatch energy centrally or under central control. On the contrary, the production, distribution and management of energy will be treated and optimized in a distributed manner using local data. Even today, parts of the power system are highly nonlinear with fast changing dynamics. It is hard to predict disturbances and undertake countermeasures on time. In existing approaches electricity is distributed to the final users according to its expected estimated demand. Such non-dynamic approaches, are difficult to evolve and can not accommodate rapid changes in the system. By having a cross-layer and open information flow among the different actors involved we can make better and more timely predictions, and inject new dynamics in the system that will lead to better energy management and achieve better energy savings. The NOBEL project is building an energy brokerage system with which individual energy prosumers can communicate their energy needs directly to both large-scale and small-scale energy producers, thereby making energy use more efficient.