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Journal article

Energy optimization and management of demand response interactions in a smart campus

  • Barbato, Antimo Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
  • Bolchini, Cristiana Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
  • Geronazzo, Angela Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
  • Quintarelli, Elisa Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
  • Palamarciuc, Andrei Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
  • Pitì, Alessandro Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
  • Rottondi, Cristina Istituto Dalle Molle di studi sull'intelligenza artificiale (IDSIA), Facoltà di scienze informatiche, Università della Svizzera italiana, Svizzera
  • Verticale, Giacomo Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
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    25.05.2016
Published in:
  • Energies. - 2016, vol. 9, no. 6, p. 398
Smart grid
Smart city
Energy management system
Renewable energy sources (RESes)
English The proposed framework enables innovative power management in smart campuses, integrating local renewable energy sources, battery banks and controllable loads and supporting Demand Response interactions with the electricity grid operators. The paper describes each system component: the Energy Management System responsible for power usage scheduling, the telecommunication infrastructure in charge of data exchanging and the integrated data repository devoted to information storage. We also discuss the relevant use cases and validate the framework in a few deployed demonstrators.
Language
  • English
Classification
Economics
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https://n2t.net/ark:/12658/srd1319032
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