Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Energy Management Systems for Intelligent Buildings in Smart Grids
School of Electrical and Electronic Engineering, The University of Manchester.
School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-4310-7938
ACCESS Linnaeus Centre, School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm.
2018 (English)In: Intelligent Building Control Systems: A Survey of Modern Building Control and Sensing Strategies / [ed] John T. Wen, Sandipan Mishra, Cham: Springer, 2018, 253-291 p.Chapter in book (Refereed)
Abstract [en]

The next-generation electric grid needs to be smart and sustainable to simultaneously deal with the ever-growing global energy demand and achieve environmental goals. In this context, the role of residential and commercial buildings is crucial, due to their large share of primary energy usage worldwide. In this chapter, we describe energy management frameworks for buildings in a smart grid scenario. An Energy Management System (EMS) is responsible for optimally scheduling end-user smart appliances, heating systems, ventilation units, and local generation devices. We discuss the performance and the practical implementation of novel stochastic MPC schemes for HVAC systems, and illustrate how these schemes take into account several sources of uncertainties, e.g., occupancy and weather conditions. Furthermore, we show how to integrate local generation capabilities and storage systems into a holistic building energy management framework.

Place, publisher, year, edition, pages
Cham: Springer, 2018. 253-291 p.
Series
Advances in Industrial Control, ISSN 1430-9491
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-66922DOI: 10.1007/978-3-319-68462-8_10Scopus ID: 2-s2.0-85037610275ISBN: 978-3-319-68461-1 (print)ISBN: 978-3-319-68462-8 (electronic)OAI: oai:DiVA.org:ltu-66922DiVA: diva2:1163286
Available from: 2017-12-06 Created: 2017-12-06 Last updated: 2017-12-21Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Varagnolo, Damiano
By organisation
Signals and Systems
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 15 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf