Smart-Energy Operating-System - A Framework for Implementing Flexible Electric Energy Systems in Smart Cities

Henrik Madsen, Jacopo Parvizi, Peder Bacher

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

Abstract

The Smart-Energy Operating-System (SE-OS) framework has been developed within the CITIES research project (www.smart-cities-centre.org). This framework enables a systematic approach for implementing flexible electric energy systems in smart cities. The SE-OS methodologies are based on methods for data analytics, cyber physical modelling, forecasting, control, optimization, IoT, IoS, and cloud computing. The SE-OS concept has being used for enabling flexibility and demand response in smart cities in a large number of demo project. Finally it is shown that SE-OS in combination with methods for energy systems (gas, thermal, power, biomass, fuel) integration can provide virtual energy storage solutions on all relevant time scales, ie. from minutes to seasonal storage.

The Smart-Energy Operating-System (SE-OS) is used to develop, implement and test of solutions (layers: data, models, optimization, control, communication) for operating flexible electrical energy systems at all scales.
Original languageEnglish
Publication date2016
Number of pages1
Publication statusPublished - 2016
EventSustain-ATV Conference 2016 - Technical University of Denmark, Kgs. Lyngby, Denmark
Duration: 30 Nov 201630 Nov 2016
http://www.sustain.dtu.dk/

Conference

ConferenceSustain-ATV Conference 2016
LocationTechnical University of Denmark
CountryDenmark
CityKgs. Lyngby
Period30/11/201630/11/2016
Internet address

Bibliographical note

Sustain Abstract L-1

Cite this

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title = "Smart-Energy Operating-System - A Framework for Implementing Flexible Electric Energy Systems in Smart Cities",
abstract = "The Smart-Energy Operating-System (SE-OS) framework has been developed within the CITIES research project (www.smart-cities-centre.org). This framework enables a systematic approach for implementing flexible electric energy systems in smart cities. The SE-OS methodologies are based on methods for data analytics, cyber physical modelling, forecasting, control, optimization, IoT, IoS, and cloud computing. The SE-OS concept has being used for enabling flexibility and demand response in smart cities in a large number of demo project. Finally it is shown that SE-OS in combination with methods for energy systems (gas, thermal, power, biomass, fuel) integration can provide virtual energy storage solutions on all relevant time scales, ie. from minutes to seasonal storage.The Smart-Energy Operating-System (SE-OS) is used to develop, implement and test of solutions (layers: data, models, optimization, control, communication) for operating flexible electrical energy systems at all scales.",
author = "Henrik Madsen and Jacopo Parvizi and Peder Bacher",
note = "Sustain Abstract L-1; Sustain-ATV Conference 2016 ; Conference date: 30-11-2016 Through 30-11-2016",
year = "2016",
language = "English",
url = "http://www.sustain.dtu.dk/",

}

Madsen, H, Parvizi, J & Bacher, P 2016, 'Smart-Energy Operating-System - A Framework for Implementing Flexible Electric Energy Systems in Smart Cities', Sustain-ATV Conference 2016, Kgs. Lyngby, Denmark, 30/11/2016 - 30/11/2016.

Smart-Energy Operating-System - A Framework for Implementing Flexible Electric Energy Systems in Smart Cities. / Madsen, Henrik; Parvizi, Jacopo; Bacher, Peder.

2016. Abstract from Sustain-ATV Conference 2016, Kgs. Lyngby, Denmark.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

TY - ABST

T1 - Smart-Energy Operating-System - A Framework for Implementing Flexible Electric Energy Systems in Smart Cities

AU - Madsen, Henrik

AU - Parvizi, Jacopo

AU - Bacher, Peder

N1 - Sustain Abstract L-1

PY - 2016

Y1 - 2016

N2 - The Smart-Energy Operating-System (SE-OS) framework has been developed within the CITIES research project (www.smart-cities-centre.org). This framework enables a systematic approach for implementing flexible electric energy systems in smart cities. The SE-OS methodologies are based on methods for data analytics, cyber physical modelling, forecasting, control, optimization, IoT, IoS, and cloud computing. The SE-OS concept has being used for enabling flexibility and demand response in smart cities in a large number of demo project. Finally it is shown that SE-OS in combination with methods for energy systems (gas, thermal, power, biomass, fuel) integration can provide virtual energy storage solutions on all relevant time scales, ie. from minutes to seasonal storage.The Smart-Energy Operating-System (SE-OS) is used to develop, implement and test of solutions (layers: data, models, optimization, control, communication) for operating flexible electrical energy systems at all scales.

AB - The Smart-Energy Operating-System (SE-OS) framework has been developed within the CITIES research project (www.smart-cities-centre.org). This framework enables a systematic approach for implementing flexible electric energy systems in smart cities. The SE-OS methodologies are based on methods for data analytics, cyber physical modelling, forecasting, control, optimization, IoT, IoS, and cloud computing. The SE-OS concept has being used for enabling flexibility and demand response in smart cities in a large number of demo project. Finally it is shown that SE-OS in combination with methods for energy systems (gas, thermal, power, biomass, fuel) integration can provide virtual energy storage solutions on all relevant time scales, ie. from minutes to seasonal storage.The Smart-Energy Operating-System (SE-OS) is used to develop, implement and test of solutions (layers: data, models, optimization, control, communication) for operating flexible electrical energy systems at all scales.

M3 - Conference abstract for conference

ER -

Madsen H, Parvizi J, Bacher P. Smart-Energy Operating-System - A Framework for Implementing Flexible Electric Energy Systems in Smart Cities. 2016. Abstract from Sustain-ATV Conference 2016, Kgs. Lyngby, Denmark.