Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study

Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life... Applied Energy 211 (2018) 113–125 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study a, b b a Iakovos T. Michailidis , Thomas Schild , Roozbeh Sangi , Panagiotis Michailidis , a,c b b a,c Christos Korkas , Johannes Fütterer , Dirk Müller , Elias B. Kosmatopoulos Information Technologies Institute (I.T.I.), Centre for Research & Technology Hellas (CE.R.T.H.), Thessaloniki, Greece Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, RWTH Aachen University, Germany Electrical and Computer Engineering Department, Polytechnic School of Xanthi, Democritus University of Thrace, Greece HIGHLIGHTS GR APHICAL A BSTRACT Model-Free, Agent-based Control and Optimization Solution. Energy efficient building management preserving acceptable comfort Levels. Real-life application results during heating period. Significant improvements respect to a common commercial control solution. ARTICLE I NFO ABSTRACT Keywords: A variety of novel, recyclable and reusable, construction materials has already been studied within literature Distributed control during the past years, aiming at improving the overall energy efficiency ranking of the building envelope. Agent-based optimization However, several studies show that a delicate control of indoor climating elements can lead to a significant Optimized HVAC management http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Energy Elsevier

Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study

Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study

Applied Energy 211 (2018) 113–125 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study a, b b a Iakovos T. Michailidis , Thomas Schild , Roozbeh Sangi , Panagiotis Michailidis , a,c b b a,c Christos Korkas , Johannes Fütterer , Dirk Müller , Elias B. Kosmatopoulos Information Technologies Institute (I.T.I.), Centre for Research & Technology Hellas (CE.R.T.H.), Thessaloniki, Greece Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, RWTH Aachen University, Germany Electrical and Computer Engineering Department, Polytechnic School of Xanthi, Democritus University of Thrace, Greece HIGHLIGHTS GR APHICAL A BSTRACT Model-Free, Agent-based Control and Optimization Solution. Energy efficient building management preserving acceptable comfort Levels. Real-life application results during heating period. Significant improvements respect to a common commercial control solution. ARTICLE I NFO ABSTRACT Keywords: A variety of novel, recyclable and reusable, construction materials has already been studied within literature Distributed control during the past years, aiming at improving the overall energy efficiency ranking of the building envelope. Agent-based optimization However, several studies show that a delicate control of indoor climating elements can lead to a significant Optimized HVAC management performance improvement by exploiting the building’s savings potential via smart adaptive HVAC regulation to Building energy-efficiency exogenous uncertain disturbances (e.g. weather, occupancy). Building Optimization and Control (BOC) systems Real-life tests can be categorized into two different groups: centralized (requiring high data transmission rates at a central node Commercial building from every corner of the overall system) and...
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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0306-2619
D.O.I.
10.1016/j.apenergy.2017.11.046
Publisher site
See Article on Publisher Site

Abstract

Applied Energy 211 (2018) 113–125 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study a, b b a Iakovos T. Michailidis , Thomas Schild , Roozbeh Sangi , Panagiotis Michailidis , a,c b b a,c Christos Korkas , Johannes Fütterer , Dirk Müller , Elias B. Kosmatopoulos Information Technologies Institute (I.T.I.), Centre for Research & Technology Hellas (CE.R.T.H.), Thessaloniki, Greece Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, RWTH Aachen University, Germany Electrical and Computer Engineering Department, Polytechnic School of Xanthi, Democritus University of Thrace, Greece HIGHLIGHTS GR APHICAL A BSTRACT Model-Free, Agent-based Control and Optimization Solution. Energy efficient building management preserving acceptable comfort Levels. Real-life application results during heating period. Significant improvements respect to a common commercial control solution. ARTICLE I NFO ABSTRACT Keywords: A variety of novel, recyclable and reusable, construction materials has already been studied within literature Distributed control during the past years, aiming at improving the overall energy efficiency ranking of the building envelope. Agent-based optimization However, several studies show that a delicate control of indoor climating elements can lead to a significant Optimized HVAC management

Journal

Applied EnergyElsevier

Published: Feb 1, 2018

References

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