Model Predictive Control for Building Active Demand Response Systems. (December 2015)
- Record Type:
- Journal Article
- Title:
- Model Predictive Control for Building Active Demand Response Systems. (December 2015)
- Main Title:
- Model Predictive Control for Building Active Demand Response Systems
- Authors:
- Lauro, Fiorella
Moretti, Fabio
Capozzoli, Alfonso
Panzieri, Stefano - Abstract:
- Abstract: The Active Demand Response (ADR), integrated with the distributed energy generation and storage systems, is the most common strategy for the optimization of energy consumption and indoor comfort in buildings, considering the energy availability and the balancing of the energy production from renewable sources. In the paper an overview of basic requirements and applications of ADR management is presented. Specifically, the model predictive control (MPC) adopted in several applications as optimal control strategy in the ADR buildings context is analysed. Finally the research experience of the authors in this context is described.
- Is Part Of:
- Energy procedia. Volume 83(2015)
- Journal:
- Energy procedia
- Issue:
- Volume 83(2015)
- Issue Display:
- Volume 83, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 83
- Issue:
- 2015
- Issue Sort Value:
- 2015-0083-2015-0000
- Page Start:
- 494
- Page End:
- 503
- Publication Date:
- 2015-12
- Subjects:
- Demand side management -- Active demand response -- Economic model predictive control -- Energy market -- Smart grid.
Power resources -- Congresses
Power resources -- Periodicals
Power resources
Conference proceedings
Periodicals
333.7905 - Journal URLs:
- http://www.sciencedirect.com/science/journal/18766102 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.egypro.2015.12.169 ↗
- Languages:
- English
- ISSNs:
- 1876-6102
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.729700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4864.xml