LAPSE:2018.1094
Published Article
LAPSE:2018.1094
Energy Optimization and Management of Demand Response Interactions in a Smart Campus
November 28, 2018
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.
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Keywords
energy management system, renewable energy sources (RESes), smart city, smart grid
Subject
Suggested Citation
Barbato A, Bolchini C, Geronazzo A, Quintarelli E, Palamarciuc A, Pitì A, Rottondi C, Verticale G. Energy Optimization and Management of Demand Response Interactions in a Smart Campus. (2018). LAPSE:2018.1094
Author Affiliations
Barbato A: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
Bolchini C: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy [ORCID]
Geronazzo A: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
Quintarelli E: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
Palamarciuc A: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
Pitì A: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
Rottondi C: Dalle Molle Institute for Artificial Intelligence (IDSIA), University of Lugano (USI)—University of Applied Science and Arts of Southern Switzerland (SUPSI), Manno 6928, Switzerland [ORCID]
Verticale G: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy [ORCID]
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Bolchini C: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy [ORCID]
Geronazzo A: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
Quintarelli E: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
Palamarciuc A: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
Pitì A: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy
Rottondi C: Dalle Molle Institute for Artificial Intelligence (IDSIA), University of Lugano (USI)—University of Applied Science and Arts of Southern Switzerland (SUPSI), Manno 6928, Switzerland [ORCID]
Verticale G: Deparment of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Piazza Leonardo da Vinci 32, Milano 20133, Italy [ORCID]
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Journal Name
Energies
Volume
9
Issue
6
Article Number
E398
Year
2016
Publication Date
2016-05-25
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9060398, Publication Type: Journal Article
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LAPSE:2018.1094
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doi:10.3390/en9060398
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Version History
[v1] (Original Submission)
Nov 28, 2018
Verified by curator on
Nov 28, 2018
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v1
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https://psecommunity.org/LAPSE:2018.1094
Original Submitter
Calvin Tsay
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