Simulation-assisted building energy performance improvement using sensible control decisions

Martin Pichler, Angela Dröscher, Hermann Schranzhofer, Giorgos Kontes, Giorgos Giannakis, Elias Kosmatopoulos, Dimitrios Rovas

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

The building sector contributes significantly to global energy consumption and emission of greenhouse gases. Thermal insulation along with installation of energy-efficient building systems can reduce energy needs while preserving or improving occupant comfort levels. Still sensible control decisions, to harmoniously and effectively operate all building thermal systems, can be used to further improve building energy performance and/or thermal comfort. In this article, a simulation-assisted methodology is presented to automatically generate such decisions. There are two ingredients to our approach: a thermal simulation model --- a surrogate of the real building --- used to evaluate the effects of potential decisions; and, a cognitive adaptive optimization algorithm used to intelligently search for the "best" control decision. A user-defined cost function is used to compare various decision strategies. Corroborating simulation results are presented to quantify the expected benefits of the proposed approach.
Original languageEnglish
Title of host publicationBuildSys '11: Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Place of PublicationNew York, NY
PublisherAssociation of Computing Machinery
Pages61-66
ISBN (Print)978-1-4503-0749-9
DOIs
Publication statusAccepted/In press - 2011
Event3rd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings: BuildSys2011 - Seattle, United States
Duration: 1 Nov 20114 Nov 2011

Conference

Conference3rd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Abbreviated titleBuildSys2011
Country/TerritoryUnited States
CitySeattle
Period1/11/114/11/11

Fields of Expertise

  • Sustainable Systems

Treatment code (Nähere Zuordnung)

  • Theoretical
  • Application

Fingerprint

Dive into the research topics of 'Simulation-assisted building energy performance improvement using sensible control decisions'. Together they form a unique fingerprint.
  • Heating, Refrigeration, and Air Conditioning

    Moisi, H. S. (Co-Investigator (CoI)), Zotter, G. (Co-Investigator (CoI)), Rieberer, R. (Co-Investigator (CoI)), Heimrath, R. (Co-Investigator (CoI)), Arnitz, A. (Co-Investigator (CoI)), Wechsler, R. (Co-Investigator (CoI)), Heinz, A. (Co-Investigator (CoI)), Halozan, H. (Co-Investigator (CoI)), Hannl, D. (Co-Investigator (CoI)), Schranzhofer, H. (Co-Investigator (CoI)), Albert, J. (Co-Investigator (CoI)), Wagner, P. (Co-Investigator (CoI)), Verdnik, M. (Co-Investigator (CoI)), Wernhart, M. W. (Co-Investigator (CoI)) & Pertiller, G. (Co-Investigator (CoI))

    1/01/9530/09/34

    Project: Research area

Cite this